Search Results: "ghe"

28 March 2025

Ian Jackson: Rust is indeed woke

Rust, and resistance to it in some parts of the Linux community, has been in my feed recently. One undercurrent seems to be the notion that Rust is woke (and should therefore be rejected as part of culture wars). I m going to argue that Rust, the language, is woke. So the opponents are right, in that sense. Of course, as ever, dissing something for being woke is nasty and fascist-adjacent. Community The obvious way that Rust may seem woke is that it has the trappings, and many of the attitudes and outcomes, of a modern, nice, FLOSS community. Rust certainly does better than toxic environments like the Linux kernel, or Debian. This is reflected in a higher proportion of contributors from various kinds of minoritised groups. But Rust is not outstanding in this respect. It certainly has its problems. Many other projects do as well or better. And this is well-trodden ground. I have something more interesting to say: Technological values - particularly, compared to C/C++ Rust is woke technology that embodies a woke understanding of what it means to be a programming language. Ostensible values Let s start with Rust s strapline:
A language empowering everyone to build reliable and efficient software.
Surprisingly, this motto is not mere marketing puff. For Rustaceans, it is a key goal which strongly influences day-to-day decisions (big and small). Empowering everyone is a key aspect of this, which aligns with my own personal values. In the Rust community, we care about empowerment. We are trying to help liberate our users. And we want to empower everyone because everyone is entitled to technological autonomy. (For a programming language, empowering individuals means empowering their communities, of course.) This is all very airy-fairy, but it has concrete consequences: Attitude to the programmer s mistakes In Rust we consider it a key part of our job to help the programmer avoid mistakes; to limit the consequences of mistakes; and to guide programmers in useful directions. If you write a bug in your Rust program, Rust doesn t blame you. Rust asks how could the compiler have spotted that bug . This is in sharp contrast to C (and C++). C nowadays is an insanely hostile programming environment. A C compiler relentlessly scours your program for any place where you may have violated C s almost incomprehensible rules, so that it can compile your apparently-correct program into a buggy executable. And then the bug is considered your fault. These aren t just attitudes implicitly embodied in the software. They are concrete opinions expressed by compiler authors, and also by language proponents. In other words: Rust sees programmers writing bugs as a systemic problem, which must be addressed by improvements to the environment and the system. The toxic parts of the C and C++ community see bugs as moral failings by individual programmers. Sound familiar? The ideology of the hardcore programmer Programming has long suffered from the myth of the rockstar . Silicon Valley techbro culture loves this notion. In reality, though, modern information systems are far too complicated for a single person. Developing systems is a team sport. Nontechnical, and technical-adjacent, skills are vital: clear but friendly communication; obtaining and incorporating the insights of every member of your team; willingness to be challenged. Community building. Collaboration. Governance. The hardcore C community embraces the rockstar myth: they imagine that a few super-programmers (or super-reviewers) are able to spot bugs, just by being so brilliant. Of course this doesn t actually work at all, as we can see from the atrocious bugfest that is the Linux kernel. These rockstars want us to believe that there is a steep hierarchy in programmming; that they are at the top of this hierarchy; and that being nice isn t important. Sound familiar? Memory safety as a power struggle Much of the modern crisis of software reliability arises from memory-unsafe programming languages, mostly C and C++. Addressing this is a big job, requiring many changes. This threatens powerful interests; notably, corporations who want to keep shipping junk. (See also, conniptions over the EU Product Liability Directive.) The harms of this serious problem mostly fall on society at large, but the convenience of carrying on as before benefits existing powerful interests. Sound familiar? Memory safety via Rust as a power struggle Addressing this problem via Rust is a direct threat to the power of established C programmers such as gatekeepers in the Linux kernel. Supplanting C means they will have to learn new things, and jostle for status against better Rustaceans, or be replaced. More broadly, Rust shows that it is practical to write fast, reliable, software, and that this does not need (mythical) rockstars . So established C programmer experts are existing vested interests, whose power is undermined by (this approach to) tackling this serious problem. Sound familiar? Notes This is not a RIIR manifesto I m not saying we should rewrite all the world s C in Rust. We should not try to do that. Rust is often a good choice for new code, or when a rewrite or substantial overhaul is needed anyway. But we re going to need other techniques to deal with all of our existing C. CHERI is a very promising approach. Sandboxing, emulation and automatic translation are other possibilities. The problem is a big one and we need a toolkit, not a magic bullet. But as for Linux: it is a scandal that substantial new drivers and subsystems are still being written in C. We could have been using Rust for new code throughout Linux years ago, and avoided very many bugs. Those bugs are doing real harm. This is not OK. Disclosure I first learned C from K&R I in 1989. I spent the first three decades of my life as a working programmer writing lots and lots of C. I ve written C++ too. I used to consider myself an expert C programmer, but nowadays my C is a bit rusty and out of date. Why is my C rusty? Because I found Rust, and immediately liked and adopted it (despite its many faults). I like Rust because I care that the software I write actually works: I care that my code doesn t do harm in the world. On the meaning of woke The original meaning of woke is something much more specific, to do with racism. For the avoidance of doubt, I don t think Rust is particularly antiracist. I m using woke (like Rust s opponents are) in the much broader, and now much more prevalent, culture wars sense. Pithy conclusion If you re a senior developer who knows only C/C++, doesn t want their authority challenged, and doesn t want to have to learn how to write better software, you should hate Rust. Also you should be fired.
Edited 2025-03-28 17:10 UTC to fix minor problems and add a new note about the meaning of the word "woke".


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22 March 2025

Dirk Eddelbuettel: RcppZiggurat 0.1.7 on CRAN: New Generators, Many Updates

ziggurats A new release 0.1.7 of RcppZiggurat is now on the CRAN network for R. This marks the first release in four and a half years. The RcppZiggurat package updates the code for the Ziggurat generator by Marsaglia and others which provides very fast draws from a Normal distribution. The package provides a simple C++ wrapper class for the generator improving on the very basic macros, and permits comparison among several existing Ziggurat implementations. This can be seen in the figure where Ziggurat from this package dominates accessing the implementations from the GSL, QuantLib and Gretl all of which are still way faster than the default Normal generator in R (which is of course of higher code complexity). This release brings a number of changes. Notably, based on the work we did with the new package zigg (more on that in a second), we now also expose the Exponential generator, and the underlying Uniform generator. Otherwise many aspects of the package have been refreshed: updated builds, updated links, updated CI processes, more use of DOIs and more. The other big news is zigg which should now be the preference for deployment of Ziggurat due to its much lighter-weight and zero-dependency setup. The NEWS file entry below lists all changes.

Changes in version 0.1.7 (2025-03-22)
  • The CI setup was updated to use run.sh from r-ci (Dirk).
  • The windows build was updated to GSL 2.7, and UCRT support was added (Jeroen in #16).
  • Manual pages now use JSS DOIs for references per CRAN request
  • README.md links and badges have been updated
  • Continuous integration actions have been updated several times
  • The DESCRIPTION file now uses Authors@R as mandated
  • Use of multiple cores is eased via a new helper function reflecting option mc.core or architecture defaults, used in tests
  • An inline function has been added to avoid a compiler nag
  • Support for exponential RNG draws zrexp has been added, the internal uniform generator is now also exposed via zruni
  • The vignette bibliography has been updated, and switched to DOIs
  • New package zigg is now mentioned in DESCRIPTION and vignette

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the Rcppziggurat page or the GitHub repository.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub.

10 March 2025

Joachim Breitner: Extrinsic termination proofs for well-founded recursion in Lean

A few months ago I explained that one reason why this blog has become more quiet is that all my work on Lean is covered elsewhere. This post is an exception, because it is an observation that is (arguably) interesting, but does not lead anywhere, so where else to put it than my own blog Want to share your thoughts about this? Please join the discussion on the Lean community zulip!

Background When defining a function recursively in Lean that has nested recursion, e.g. a recusive call that is in the argument to a higher-order function like List.map, then extra attention used to be necessary so that Lean can see that xs.map applies its argument only elements of the list xs. The usual idiom is to write xs.attach.map instead, where List.attach attaches to the list elements a proof that they are in that list. You can read more about this my Lean blog post on recursive definitions and our new shiny reference manual, look for Example Nested Recursion in Higher-order Functions . To make this step less tedious I taught Lean to automatically rewrite xs.map to xs.attach.map (where suitable) within the construction of well-founded recursion, so that nested recursion just works (issue #5471). We already do such a rewriting to change if c then else to the dependent if h : c then else , but the attach-introduction is much more ambitious (the rewrites are not definitionally equal, there are higher-order arguments etc.) Rewriting the terms in a way that we can still prove the connection later when creating the equational lemmas is hairy at best. Also, we want the whole machinery to be extensible by the user, setting up their own higher order functions to add more facts to the context of the termination proof. I implemented it like this (PR #6744) and it ships with 4.18.0, but in the course of this work I thought about a quite different and maybe better way to do this, and well-founded recursion in general:

A simpler fix Recall that to use WellFounded.fix
WellFounded.fix : (hwf : WellFounded r) (F : (x :  )   ((y :  )   r y x   C y)   C x) (x :  ) : C x
we have to rewrite the functorial of the recursive function, which naturally has type
F : ((y :  )    C y)   ((x :  )   C x)
to the one above, where all recursive calls take the termination proof r y x. This is a fairly hairy operation, mangling the type of matcher s motives and whatnot. Things are simpler for recursive definitions using the new partial_fixpoint machinery, where we use Lean.Order.fix
Lean.Order.fix : [CCPO  ] (F :      ) (hmono : monotone F) :  
so the functorial s type is unmodified (here will be ((x : ) C x)), and everything else is in the propositional side-condition montone F. For this predicate we have a syntax-guided compositional tactic, and it s easily extensible, e.g. by
theorem monotone_mapM (f :         m  ) (xs : List  ) (hmono : monotone f) :
    monotone (fun x => xs.mapM (f x)) 
Once given, we don t care about the content of that proof. In particular proving the unfolding theorem only deals with the unmodified F that closely matches the function definition as written by the user. Much simpler!

Isabelle has it easier Isabelle also supports well-founded recursion, and has great support for nested recursion. And it s much simpler! There, all you have to do to make nested recursion work is to define a congruence lemma of the form, for List.map something like our List.map_congr_left
List.map_congr_left : (h :   a   l, f a = g a) :
    List.map f l = List.map g l
This is because in Isabelle, too, the termination proofs is a side-condition that essentially states the functorial F calls its argument f only on smaller arguments .

Can we have it easy, too? I had wished we could do the same in Lean for a while, but that form of congruence lemma just isn t strong enough for us. But maybe there is a way to do it, using an existential to give a witness that F can alternatively implemented using the more restrictive argument. The following callsOn P F predicate can express that F calls its higher-order argument only on arguments that satisfy the predicate P:
section setup
variable   : Sort u 
variable   :     Sort v 
variable   : Sort w 
def callsOn (P :     Prop) (F : (  y,   y)    ) :=
    (F': (  y, P y     y)    ),   f, F' (fun y _ => f y) = F f
variable (R :         Prop)
variable (F : (  y,   y)   (  x,   x))
local infix:50 "   " => R
def recursesVia : Prop :=   x, callsOn (    x) (fun f => F f x)
noncomputable def fix (wf : WellFounded R) (h : recursesVia R F) : (  x,   x) :=
  wf.fix (fun x => (h x).choose)
def fix_eq (wf : WellFounded R) h x :
    fix R F wf h x = F (fix R F wf h) x := by
  unfold fix
  rw [wf.fix_eq]
  apply (h x).choose_spec
This allows nice compositional lemmas to discharge callsOn predicates:
theorem callsOn_base (y :  ) (hy : P y) :
    callsOn P (fun (f :   x,   x) => f y) := by
  exists fun f => f y hy
  intros; rfl
@[simp]
theorem callsOn_const (x :  ) :
    callsOn P (fun (_ :   x,   x) => x) :=
   fun _ => x, fun _ => rfl 
theorem callsOn_app
      : Sort uu    : Sort ww 
    (F  :  (  y,   y)        ) -- can this also support dependent types?
    (F  :  (  y,   y)    )
    (h  : callsOn P F )
    (h  : callsOn P F ) :
    callsOn P (fun f => F  f (F  f)) := by
  obtain  F ', h  := h 
  obtain  F ', h  := h 
  exists (fun f => F ' f (F ' f))
  intros; simp_all
theorem callsOn_lam
      : Sort uu 
    (F :     (  y,   y)    ) -- can this also support dependent types?
    (h :   x, callsOn P (F x)) :
    callsOn P (fun f x => F x f) := by
  exists (fun f x => (h x).choose f)
  intro f
  ext x
  apply (h x).choose_spec
theorem callsOn_app2
      : Sort uu    : Sort ww 
    (g :          )
    (F  :  (  y,   y)    ) -- can this also support dependent types?
    (F  :  (  y,   y)    )
    (h  : callsOn P F )
    (h  : callsOn P F ) :
    callsOn P (fun f => g (F  f) (F  f)) := by
  apply_rules [callsOn_app, callsOn_const]
With this setup, we can have the following, possibly user-defined, lemma expressing that List.map calls its arguments only on elements of the list:
theorem callsOn_map (  : Type uu) (  : Type ww)
    (P :     Prop) (F : (  y,   y)        ) (xs : List  )
    (h :   x, x   xs   callsOn P (fun f => F f x)) :
    callsOn P (fun f => xs.map (fun x => F f x)) := by
  suffices callsOn P (fun f => xs.attach.map (fun  x, h  => F f x)) by
    simpa
  apply callsOn_app
    apply callsOn_app
      apply callsOn_const
      apply callsOn_lam
      intro  x', hx' 
      dsimp
      exact (h x' hx')
    apply callsOn_const
end setup
So here is the (manual) construction of a nested map for trees:
section examples
structure Tree (  : Type u) where
  val :  
  cs : List (Tree  )
-- essentially
-- def Tree.map (f :      ) : Tree     Tree   :=
--   fun t =>  f t.val, t.cs.map Tree.map )
noncomputable def Tree.map (f :      ) : Tree     Tree   :=
  fix (sizeOf   < sizeOf  ) (fun map t =>  f t.val, t.cs.map map )
    (InvImage.wf (sizeOf  ) WellFoundedRelation.wf) <  by
  intro  v, cs 
  dsimp only
  apply callsOn_app2
    apply callsOn_const
    apply callsOn_map
    intro t' ht'
    apply callsOn_base
    -- ht' : t'   cs -- !
    --   sizeOf t' < sizeOf   val := v, cs := cs  
    decreasing_trivial
end examples
This makes me happy! All details of the construction are now contained in a proof that can proceed by a syntax-driven tactic and that s easily and (likely robustly) extensible by the user. It also means that we can share a lot of code paths (e.g. everything related to equational theorems) between well-founded recursion and partial_fixpoint. I wonder if this construction is really as powerful as our current one, or if there are certain (likely dependently typed) functions where this doesn t fit, but the above is dependent, so it looks good. With this construction, functions defined by well-founded recursion will reduce even worse in the kernel, I assume. This may be a good thing.

The cake is a lie What unfortunately kills this idea, though, is the generation of the functional induction principles, which I believe is not (easily) possible with this construction: The functional induction principle is proved by massaging F to return a proof, but since the extra assumptions (e.g. for ite or List.map) only exist in the termination proof, they are not available in F. Oh wey, how anticlimactic.

PS: Path dependencies Curiously, if we didn t have functional induction at this point yet, then very likely I d change Lean to use this construction, and then we d either not get functional induction, or it would be implemented very differently, maybe a more syntactic approach that would re-prove termination. I guess that s called path dependence.

9 March 2025

Lisandro Dami n Nicanor P rez Meyer: Bah a Blanca floods - Mother nature says: no Nuremberg for you today

Update 20250309 13:20-03:00 - How to help A friend of mine living in the USA sent me this link to help the flood victims: Support Bah a Blanca (Argentina) Flood Victims Original blog post These are not good news. In fact, much the contrary. Compared to the real issue, the fact that I'm not able to attend Embedded World at Nuremberg is, well, a detail. Or at least that's what I'm forcing myself to believe, as I REALLY wanted to be there. But mother nature said otherwise. Plaza Dr. Alberto Martinelli - Barrio Parque Las Ca itas Park "D. Alberto Martinelli", Las Ca itas, Bah a Blanca (Google Maps) Bah a Blanca , the city I live, has received a lot on rainfall. Really, a lot. Let me introduce the number like this: the previous highest recorded measurement was 170mm (6.69 inch)... in a month. Yesterday Friday 07 we had more than 400mm (15.75 inch) in 9 hours. But those are just numbers. Some things are better seen in images. I'll start with some soft ones. Streetk sink 1 Streetk sink 2 Sink in Fournier street near Cambaceres (Google Maps) I also happen to do figure skating in the same school of the 4 times world champions (where "world" means the whole world) Roller Dreams precision skating team - Instagram, from Club El Nacional. Our skating rink got severely damaged with the hail we had like 3 weeks ago (yes, we had hail too!!!). Now it's just impossible: Roller Dreams CEN skating rink The "real" thing Let's get to the heavy, heartbreaker part. I did go to downtown Bah a Blanca, but during night, so let me share some links, most of them in Spanish, but images are images: My alma matter, Universidad Nacional del Sur, lost its main library, great part of the Physics department and a lot of labs :-( A nearby town, General Cerri, had even worst luck. In Bah a Blanca, a city of 300k+ people, has around 400 evacuated people. General Cerri, a town of 3000? people, had at least 800. Bah a Blanca, devil's land Every place has its legends. We do too. This land was called "Huecuv Map ", something like "Devil's land" by the original inhabitants of the zone, due to its harsh climate: string winters and hot summers, couple with fierce wind. But back in 1855 the Cacique (chief) Jos Mar a Bulnes Yanquetruz had a peace agreement with commander Nicanor Otamendi. But a battle ensued, which Yanquetruz won. At this point history defers depending upon who tells it. Some say Yanquetruz was assigned a military grade as Captain of the indigenous auxiliary forces and provided a military suit, some say he stole it, some say this was a setup of another chief wanting to disrupt peace. But what is known is that Yanquetruz was killed, and his wife, the "machi" (sorceress), issued a curse over the land that would last 1000 years, and the curse was on the climate. Aftermath No, we are not there yet. This has just happened. The third violent climate occurrence in 15 months. The city needs to mourn and start healing itself. Time will say.

6 March 2025

Russell Coker: 8k Video Cards

I previously blogged about getting an 8K TV [1]. Now I m working on getting 8K video out for a computer that talks to it. I borrowed an NVidia RTX A2000 card which according to it s specs can do 8K [2] with a mini-DisplayPort to HDMI cable rated at 8K but on both Windows and Linux the two highest resolutions on offer are 3840*2160 (regular 4K) and 4096*2160 which is strange and not useful. The various documents on the A2000 differ on whether it has DisplayPort version 1.4 or 1.4a. According to the DisplayPort Wikipedia page [3] both versions 1.4 and 1.4a have a maximum of HBR3 speed and the difference is what version of DSC (Display Stream Compression [4]) is in use. DSC apparently causes no noticeable loss of quality for movies or games but apparently can be bad for text. According to the DisplayPort Wikipedia page version 1.4 can do 8K uncompressed at 30Hz or 24Hz with high dynamic range. So this should be able to work. My theories as to why it doesn t work are: To get some more input on this issue I posted on Lemmy, here is the Lemmy post [5]. I signed up to lemmy.ml because it was the first one I found that seemed reasonable and was giving away free accounts, I haven t tried any others and can t review it but it seems to work well enough and it s free. It s described as A community of privacy and FOSS enthusiasts, run by Lemmy s developers which is positive, I recommend that everyone who s into FOSS create an account there or some other Lemmy server. My Lemmy post was about what video cards to buy. I was looking at the Gigabyte RX 6400 Eagle 4G as a cheap card from a local store that does 8K, it also does DisplayPort 1.4 so might have the same issues, also apparently FOSS drivers don t support 8K on HDMI because the people who manage HDMI specs are jerks. It s a $200 card at MSY and a bit less on ebay so it s an amount I can afford to risk on a product that might not do what I want, but it seems to have a high probability of getting the same result. The NVidia cards have the option of proprietary drivers which allow using HDMI and there are cards with DisplayPort 1.4 (which can do 8K@30Hz) and HDMI 2.1 (which can do 8K@50Hz). So HDMI is a better option for some cards just based on card output and has the additional benefit of not needing DisplayPort to HDMI conversion. The best option apparently is the Intel cards which do DisplayPort internally and convert to HDMI in hardware which avoids the issue of FOSS drivers for HDMI at 8K. The Intel Arc B580 has nice specs [6], HDMI 2.1a and DisplayPort 2.1 output, 12G of RAM, and being faster than the low end cards like the RX 6400. But the local computer store price is $470 and the ebay price is a bit over $400. If it turns out to not do what I need it still will be a long way from the worst way I ve wasted money on computer gear. But I m still hesitating about this. Any suggestions?

5 March 2025

Dima Kogan: Shop scheduling with PuLP

I recently used the PuLP modeler to solve a work scheduling problem to assign workers to shifts. Here are notes about doing that. This is a common use case, but isn't explicitly covered in the case studies in the PuLP documentation. Here's the problem: The tool is supposed to allocate workers to the shifts to try to cover all the shifts, give everybody work, and try to match their preferences. I implemented the tool:
#!/usr/bin/python3
import sys
import os
import re
def report_solution_to_console(vars):
    for w in days_of_week:
        annotation = ''
        if human_annotate is not None:
            for s in shifts.keys():
                m = re.match(rf' w  - ', s)
                if not m: continue
                if vars[human_annotate][s].value():
                    annotation = f" ( human_annotate  SCHEDULED)"
                    break
            if not len(annotation):
                annotation = f" ( human_annotate  OFF)"
        print(f" w annotation ")
        for s in shifts.keys():
            m = re.match(rf' w  - ', s)
            if not m: continue
            annotation = ''
            if human_annotate is not None:
                annotation = f" ( human_annotate   shifts[s][human_annotate] )"
            print(f"    ----  s[m.end():] annotation ")
            for h in humans:
                if vars[h][s].value():
                    print(f"          h  ( shifts[s][h] )")
def report_solution_summary_to_console(vars):
    print("\nSUMMARY")
    for h in humans:
        print(f"--  h ")
        print(f"   benefit:  benefits[h].value():.3f ")
        counts = dict()
        for a in availabilities:
            counts[a] = 0
        for s in shifts.keys():
            if vars[h][s].value():
                counts[shifts[s][h]] += 1
        for a in availabilities:
            print(f"    counts[a]   a ")
human_annotate = None
days_of_week = ('SUNDAY',
                'MONDAY',
                'TUESDAY',
                'WEDNESDAY',
                'THURSDAY',
                'FRIDAY',
                'SATURDAY')
humans = ['ALICE', 'BOB',
          'CAROL', 'DAVID', 'EVE', 'FRANK', 'GRACE', 'HEIDI', 'IVAN', 'JUDY']
shifts =  'SUNDAY - SANDING 9:00 AM - 4:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'DAVID': 'PREFERRED',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'DISFAVORED',
           'HEIDI': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'JUDY':  'NEUTRAL' ,
          'WEDNESDAY - SAWING 7:30 AM - 2:30 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'DAVID': 'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'EVE':   'REFUSED',
           'JUDY':  'REFUSED' ,
          'THURSDAY - SANDING 9:00 AM - 4:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'DAVID': 'PREFERRED',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'PREFERRED',
           'HEIDI': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'JUDY':  'PREFERRED' ,
          'SATURDAY - SAWING 7:30 AM - 2:30 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'DAVID': 'PREFERRED',
           'FRANK': 'PREFERRED',
           'HEIDI': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'EVE':   'REFUSED',
           'JUDY':  'REFUSED',
           'GRACE': 'REFUSED' ,
          'SUNDAY - SAWING 9:00 AM - 4:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'DAVID': 'PREFERRED',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'JUDY':  'PREFERRED',
           'HEIDI': 'REFUSED' ,
          'MONDAY - SAWING 9:00 AM - 4:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'DAVID': 'PREFERRED',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'PREFERRED',
           'IVAN':  'PREFERRED',
           'JUDY':  'PREFERRED',
           'HEIDI': 'REFUSED' ,
          'TUESDAY - SAWING 9:00 AM - 4:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'DAVID': 'PREFERRED',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'NEUTRAL',
           'IVAN':  'PREFERRED',
           'JUDY':  'PREFERRED',
           'HEIDI': 'REFUSED' ,
          'WEDNESDAY - PAINTING 7:30 AM - 2:30 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'EVE':   'REFUSED',
           'JUDY':  'REFUSED',
           'DAVID': 'REFUSED' ,
          'THURSDAY - SAWING 9:00 AM - 4:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'DAVID': 'PREFERRED',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'PREFERRED',
           'IVAN':  'PREFERRED',
           'JUDY':  'PREFERRED',
           'HEIDI': 'REFUSED' ,
          'FRIDAY - SAWING 9:00 AM - 4:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'DAVID': 'PREFERRED',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'PREFERRED',
           'IVAN':  'PREFERRED',
           'JUDY':  'DISFAVORED',
           'HEIDI': 'REFUSED' ,
          'SATURDAY - PAINTING 7:30 AM - 2:30 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'FRANK': 'PREFERRED',
           'HEIDI': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'EVE':   'REFUSED',
           'JUDY':  'REFUSED',
           'GRACE': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'SUNDAY - PAINTING 9:45 AM - 4:45 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'JUDY':  'PREFERRED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'MONDAY - PAINTING 9:45 AM - 4:45 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'PREFERRED',
           'IVAN':  'PREFERRED',
           'JUDY':  'NEUTRAL',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'TUESDAY - PAINTING 9:45 AM - 4:45 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'NEUTRAL',
           'IVAN':  'PREFERRED',
           'JUDY':  'PREFERRED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'WEDNESDAY - SANDING 9:45 AM - 4:45 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'DAVID': 'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'JUDY':  'NEUTRAL',
           'EVE':   'REFUSED' ,
          'THURSDAY - PAINTING 9:45 AM - 4:45 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'NEUTRAL',
           'IVAN':  'PREFERRED',
           'JUDY':  'PREFERRED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'FRIDAY - PAINTING 9:45 AM - 4:45 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'PREFERRED',
           'FRANK': 'PREFERRED',
           'GRACE': 'PREFERRED',
           'IVAN':  'PREFERRED',
           'JUDY':  'DISFAVORED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'SATURDAY - SANDING 9:45 AM - 4:45 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'DAVID': 'PREFERRED',
           'FRANK': 'PREFERRED',
           'HEIDI': 'DISFAVORED',
           'IVAN':  'PREFERRED',
           'EVE':   'REFUSED',
           'JUDY':  'REFUSED',
           'GRACE': 'REFUSED' ,
          'SUNDAY - PAINTING 11:00 AM - 6:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'PREFERRED',
           'IVAN':  'NEUTRAL',
           'JUDY':  'NEUTRAL',
           'DAVID': 'REFUSED' ,
          'MONDAY - PAINTING 12:00 PM - 7:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'PREFERRED',
           'IVAN':  'NEUTRAL',
           'JUDY':  'NEUTRAL',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'TUESDAY - PAINTING 12:00 PM - 7:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'NEUTRAL',
           'HEIDI': 'REFUSED',
           'JUDY':  'REFUSED',
           'DAVID': 'REFUSED' ,
          'WEDNESDAY - PAINTING 12:00 PM - 7:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'NEUTRAL',
           'JUDY':  'PREFERRED',
           'EVE':   'REFUSED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'THURSDAY - PAINTING 12:00 PM - 7:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'NEUTRAL',
           'JUDY':  'PREFERRED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'FRIDAY - PAINTING 12:00 PM - 7:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'NEUTRAL',
           'JUDY':  'DISFAVORED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'SATURDAY - PAINTING 12:00 PM - 7:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'NEUTRAL',
           'FRANK': 'NEUTRAL',
           'IVAN':  'NEUTRAL',
           'JUDY':  'DISFAVORED',
           'EVE':   'REFUSED',
           'HEIDI': 'REFUSED',
           'GRACE': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'SUNDAY - SAWING 12:00 PM - 7:00 PM':
           'ALICE': 'PREFERRED',
           'BOB':   'PREFERRED',
           'CAROL': 'NEUTRAL',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'NEUTRAL',
           'JUDY':  'PREFERRED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'MONDAY - SAWING 2:00 PM - 9:00 PM':
           'ALICE': 'PREFERRED',
           'BOB':   'PREFERRED',
           'CAROL': 'DISFAVORED',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'DISFAVORED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'TUESDAY - SAWING 2:00 PM - 9:00 PM':
           'ALICE': 'PREFERRED',
           'BOB':   'PREFERRED',
           'CAROL': 'DISFAVORED',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'HEIDI': 'REFUSED',
           'JUDY':  'REFUSED',
           'DAVID': 'REFUSED' ,
          'WEDNESDAY - SAWING 2:00 PM - 9:00 PM':
           'ALICE': 'PREFERRED',
           'BOB':   'PREFERRED',
           'CAROL': 'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'DISFAVORED',
           'EVE':   'REFUSED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'THURSDAY - SAWING 2:00 PM - 9:00 PM':
           'ALICE': 'PREFERRED',
           'BOB':   'PREFERRED',
           'CAROL': 'DISFAVORED',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'DISFAVORED',
           'HEIDI': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'FRIDAY - SAWING 2:00 PM - 9:00 PM':
           'ALICE': 'PREFERRED',
           'BOB':   'PREFERRED',
           'CAROL': 'DISFAVORED',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'HEIDI': 'REFUSED',
           'JUDY':  'REFUSED',
           'DAVID': 'REFUSED' ,
          'SATURDAY - SAWING 2:00 PM - 9:00 PM':
           'ALICE': 'PREFERRED',
           'BOB':   'PREFERRED',
           'CAROL': 'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'DISFAVORED',
           'EVE':   'REFUSED',
           'HEIDI': 'REFUSED',
           'GRACE': 'REFUSED',
           'DAVID': 'REFUSED' ,
          'SUNDAY - PAINTING 12:15 PM - 7:15 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'PREFERRED',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'NEUTRAL',
           'DAVID': 'REFUSED' ,
          'MONDAY - PAINTING 2:00 PM - 9:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'DISFAVORED',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'DISFAVORED',
           'DAVID': 'REFUSED' ,
          'TUESDAY - PAINTING 2:00 PM - 9:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'DISFAVORED',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'REFUSED',
           'DAVID': 'REFUSED' ,
          'WEDNESDAY - PAINTING 2:00 PM - 9:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'DISFAVORED',
           'EVE':   'REFUSED',
           'DAVID': 'REFUSED' ,
          'THURSDAY - PAINTING 2:00 PM - 9:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'DISFAVORED',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'DISFAVORED',
           'DAVID': 'REFUSED' ,
          'FRIDAY - PAINTING 2:00 PM - 9:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'DISFAVORED',
           'EVE':   'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'GRACE': 'NEUTRAL',
           'HEIDI': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'REFUSED',
           'DAVID': 'REFUSED' ,
          'SATURDAY - PAINTING 2:00 PM - 9:00 PM':
           'ALICE': 'NEUTRAL',
           'BOB':   'NEUTRAL',
           'CAROL': 'DISFAVORED',
           'FRANK': 'NEUTRAL',
           'HEIDI': 'NEUTRAL',
           'IVAN':  'DISFAVORED',
           'JUDY':  'DISFAVORED',
           'EVE':   'REFUSED',
           'GRACE': 'REFUSED',
           'DAVID': 'REFUSED' 
availabilities = ['PREFERRED', 'NEUTRAL', 'DISFAVORED']
import pulp
prob = pulp.LpProblem("Scheduling", pulp.LpMaximize)
vars = pulp.LpVariable.dicts("Assignments",
                             (humans, shifts.keys()),
                             None,None, # bounds; unused, since these are binary variables
                             pulp.LpBinary)
# Everyone works at least 2 shifts
Nshifts_min = 2
for h in humans:
    prob += (
        pulp.lpSum([vars[h][s] for s in shifts.keys()]) >= Nshifts_min,
        f" h  works at least  Nshifts_min  shifts",
    )
# each shift is ~ 8 hours, so I limit everyone to 40/8 = 5 shifts
Nshifts_max = 5
for h in humans:
    prob += (
        pulp.lpSum([vars[h][s] for s in shifts.keys()]) <= Nshifts_max,
        f" h  works at most  Nshifts_max  shifts",
    )
# all shifts staffed and not double-staffed
for s in shifts.keys():
    prob += (
        pulp.lpSum([vars[h][s] for h in humans]) == 1,
        f" s  is staffed",
    )
# each human can work at most one shift on any given day
for w in days_of_week:
    for h in humans:
        prob += (
            pulp.lpSum([vars[h][s] for s in shifts.keys() if re.match(rf' w  ',s)]) <= 1,
            f" h  cannot be double-booked on  w "
        )
#### Some explicit constraints; as an example
# DAVID can't work any PAINTING shift and is off on Thu and Sun
h = 'DAVID'
prob += (
    pulp.lpSum([vars[h][s] for s in shifts.keys() if re.search(r'- PAINTING',s)]) == 0,
    f" h  can't work any PAINTING shift"
)
prob += (
    pulp.lpSum([vars[h][s] for s in shifts.keys() if re.match(r'THURSDAY SUNDAY',s)]) == 0,
    f" h  is off on Thursday and Sunday"
)
# Do not assign any "REFUSED" shifts
for s in shifts.keys():
    for h in humans:
        if shifts[s][h] == 'REFUSED':
            prob += (
                vars[h][s] == 0,
                f" h  is not available for  s "
            )
# Objective. I try to maximize the "happiness". Each human sees each shift as
# one of:
#
#   PREFERRED
#   NEUTRAL
#   DISFAVORED
#   REFUSED
#
# I set a hard constraint to handle "REFUSED", and arbitrarily, I set these
# benefit values for the others
benefit_availability = dict()
benefit_availability['PREFERRED']  = 3
benefit_availability['NEUTRAL']    = 2
benefit_availability['DISFAVORED'] = 1
# Not used, since this is a hard constraint. But the code needs this to be a
# part of the benefit. I can ignore these in the code, but let's keep this
# simple
benefit_availability['REFUSED' ] = -1000
benefits = dict()
for h in humans:
    benefits[h] = \
        pulp.lpSum([vars[h][s] * benefit_availability[shifts[s][h]] \
                    for s in shifts.keys()])
benefit_total = \
    pulp.lpSum([benefits[h] \
                for h in humans])
prob += (
    benefit_total,
    "happiness",
)
prob.solve()
if pulp.LpStatus[prob.status] == "Optimal":
    report_solution_to_console(vars)
    report_solution_summary_to_console(vars)
The set of workers is in the humans variable, and the shift schedule and the workers' preferences are encoded in the shifts dict. The problem is defined by a vars dict of dicts, each a boolean variable indicating whether a particular worker is scheduled for a particular shift. We define a set of constraints to these worker allocations to restrict ourselves to valid solutions. And among these valid solutions, we try to find the one that maximizes some benefit function, defined here as:
benefit_availability = dict()
benefit_availability['PREFERRED']  = 3
benefit_availability['NEUTRAL']    = 2
benefit_availability['DISFAVORED'] = 1
benefits = dict()
for h in humans:
    benefits[h] = \
        pulp.lpSum([vars[h][s] * benefit_availability[shifts[s][h]] \
                    for s in shifts.keys()])
benefit_total = \
    pulp.lpSum([benefits[h] \
                for h in humans])
So for instance each shift that was scheduled as somebody's PREFERRED shift gives us 3 benefit points. And if all the shifts ended up being PREFERRED, we'd have a total benefit value of 3*Nshifts. This is impossible, however, because that would violate some constraints in the problem. The exact trade-off between the different preferences is set in the benefit_availability dict. With the above numbers, it's equally good for somebody to have a NEUTRAL shift and a day off as it is for them to have DISFAVORED shifts. If we really want to encourage the program to work people as much as possible (days off discouraged), we'd want to raise the DISFAVORED threshold. I run this program and I get:
....
Result - Optimal solution found
Objective value:                108.00000000
Enumerated nodes:               0
Total iterations:               0
Time (CPU seconds):             0.01
Time (Wallclock seconds):       0.01
Option for printingOptions changed from normal to all
Total time (CPU seconds):       0.02   (Wallclock seconds):       0.02
SUNDAY
    ---- SANDING 9:00 AM - 4:00 PM
         EVE (PREFERRED)
    ---- SAWING 9:00 AM - 4:00 PM
         IVAN (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM
         FRANK (PREFERRED)
    ---- PAINTING 11:00 AM - 6:00 PM
         HEIDI (PREFERRED)
    ---- SAWING 12:00 PM - 7:00 PM
         ALICE (PREFERRED)
    ---- PAINTING 12:15 PM - 7:15 PM
         CAROL (PREFERRED)
MONDAY
    ---- SAWING 9:00 AM - 4:00 PM
         DAVID (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM
         IVAN (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM
         GRACE (PREFERRED)
    ---- SAWING 2:00 PM - 9:00 PM
         ALICE (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM
         HEIDI (NEUTRAL)
TUESDAY
    ---- SAWING 9:00 AM - 4:00 PM
         DAVID (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM
         EVE (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM
         FRANK (NEUTRAL)
    ---- SAWING 2:00 PM - 9:00 PM
         BOB (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM
         HEIDI (NEUTRAL)
WEDNESDAY
    ---- SAWING 7:30 AM - 2:30 PM
         DAVID (PREFERRED)
    ---- PAINTING 7:30 AM - 2:30 PM
         IVAN (PREFERRED)
    ---- SANDING 9:45 AM - 4:45 PM
         FRANK (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM
         JUDY (PREFERRED)
    ---- SAWING 2:00 PM - 9:00 PM
         BOB (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM
         ALICE (NEUTRAL)
THURSDAY
    ---- SANDING 9:00 AM - 4:00 PM
         GRACE (PREFERRED)
    ---- SAWING 9:00 AM - 4:00 PM
         CAROL (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM
         EVE (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM
         JUDY (PREFERRED)
    ---- SAWING 2:00 PM - 9:00 PM
         BOB (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM
         ALICE (NEUTRAL)
FRIDAY
    ---- SAWING 9:00 AM - 4:00 PM
         DAVID (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM
         FRANK (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM
         GRACE (NEUTRAL)
    ---- SAWING 2:00 PM - 9:00 PM
         BOB (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM
         HEIDI (NEUTRAL)
SATURDAY
    ---- SAWING 7:30 AM - 2:30 PM
         CAROL (PREFERRED)
    ---- PAINTING 7:30 AM - 2:30 PM
         IVAN (PREFERRED)
    ---- SANDING 9:45 AM - 4:45 PM
         DAVID (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM
         FRANK (NEUTRAL)
    ---- SAWING 2:00 PM - 9:00 PM
         ALICE (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM
         BOB (NEUTRAL)
SUMMARY
-- ALICE
   benefit: 13.000
   3 PREFERRED
   2 NEUTRAL
   0 DISFAVORED
-- BOB
   benefit: 14.000
   4 PREFERRED
   1 NEUTRAL
   0 DISFAVORED
-- CAROL
   benefit: 9.000
   3 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
-- DAVID
   benefit: 15.000
   5 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
-- EVE
   benefit: 9.000
   3 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
-- FRANK
   benefit: 13.000
   3 PREFERRED
   2 NEUTRAL
   0 DISFAVORED
-- GRACE
   benefit: 8.000
   2 PREFERRED
   1 NEUTRAL
   0 DISFAVORED
-- HEIDI
   benefit: 9.000
   1 PREFERRED
   3 NEUTRAL
   0 DISFAVORED
-- IVAN
   benefit: 12.000
   4 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
-- JUDY
   benefit: 6.000
   2 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
So we have a solution! We have 108 total benefit points. But it looks a bit uneven: Judy only works 2 days, while some people work many more: David works 5 for instance. Why is that? I update the program with =human_annotate = 'JUDY'=, run it again, and it tells me more about Judy's preferences:
Objective value:                108.00000000
Enumerated nodes:               0
Total iterations:               0
Time (CPU seconds):             0.01
Time (Wallclock seconds):       0.01
Option for printingOptions changed from normal to all
Total time (CPU seconds):       0.01   (Wallclock seconds):       0.02
SUNDAY (JUDY OFF)
    ---- SANDING 9:00 AM - 4:00 PM (JUDY NEUTRAL)
         EVE (PREFERRED)
    ---- SAWING 9:00 AM - 4:00 PM (JUDY PREFERRED)
         IVAN (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM (JUDY PREFERRED)
         FRANK (PREFERRED)
    ---- PAINTING 11:00 AM - 6:00 PM (JUDY NEUTRAL)
         HEIDI (PREFERRED)
    ---- SAWING 12:00 PM - 7:00 PM (JUDY PREFERRED)
         ALICE (PREFERRED)
    ---- PAINTING 12:15 PM - 7:15 PM (JUDY NEUTRAL)
         CAROL (PREFERRED)
MONDAY (JUDY OFF)
    ---- SAWING 9:00 AM - 4:00 PM (JUDY PREFERRED)
         DAVID (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM (JUDY NEUTRAL)
         IVAN (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM (JUDY NEUTRAL)
         GRACE (PREFERRED)
    ---- SAWING 2:00 PM - 9:00 PM (JUDY DISFAVORED)
         ALICE (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM (JUDY DISFAVORED)
         HEIDI (NEUTRAL)
TUESDAY (JUDY OFF)
    ---- SAWING 9:00 AM - 4:00 PM (JUDY PREFERRED)
         DAVID (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM (JUDY PREFERRED)
         EVE (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM (JUDY REFUSED)
         FRANK (NEUTRAL)
    ---- SAWING 2:00 PM - 9:00 PM (JUDY REFUSED)
         BOB (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM (JUDY REFUSED)
         HEIDI (NEUTRAL)
WEDNESDAY (JUDY SCHEDULED)
    ---- SAWING 7:30 AM - 2:30 PM (JUDY REFUSED)
         DAVID (PREFERRED)
    ---- PAINTING 7:30 AM - 2:30 PM (JUDY REFUSED)
         IVAN (PREFERRED)
    ---- SANDING 9:45 AM - 4:45 PM (JUDY NEUTRAL)
         FRANK (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM (JUDY PREFERRED)
         JUDY (PREFERRED)
    ---- SAWING 2:00 PM - 9:00 PM (JUDY DISFAVORED)
         BOB (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM (JUDY DISFAVORED)
         ALICE (NEUTRAL)
THURSDAY (JUDY SCHEDULED)
    ---- SANDING 9:00 AM - 4:00 PM (JUDY PREFERRED)
         GRACE (PREFERRED)
    ---- SAWING 9:00 AM - 4:00 PM (JUDY PREFERRED)
         CAROL (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM (JUDY PREFERRED)
         EVE (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM (JUDY PREFERRED)
         JUDY (PREFERRED)
    ---- SAWING 2:00 PM - 9:00 PM (JUDY DISFAVORED)
         BOB (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM (JUDY DISFAVORED)
         ALICE (NEUTRAL)
FRIDAY (JUDY OFF)
    ---- SAWING 9:00 AM - 4:00 PM (JUDY DISFAVORED)
         DAVID (PREFERRED)
    ---- PAINTING 9:45 AM - 4:45 PM (JUDY DISFAVORED)
         FRANK (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM (JUDY DISFAVORED)
         GRACE (NEUTRAL)
    ---- SAWING 2:00 PM - 9:00 PM (JUDY REFUSED)
         BOB (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM (JUDY REFUSED)
         HEIDI (NEUTRAL)
SATURDAY (JUDY OFF)
    ---- SAWING 7:30 AM - 2:30 PM (JUDY REFUSED)
         CAROL (PREFERRED)
    ---- PAINTING 7:30 AM - 2:30 PM (JUDY REFUSED)
         IVAN (PREFERRED)
    ---- SANDING 9:45 AM - 4:45 PM (JUDY REFUSED)
         DAVID (PREFERRED)
    ---- PAINTING 12:00 PM - 7:00 PM (JUDY DISFAVORED)
         FRANK (NEUTRAL)
    ---- SAWING 2:00 PM - 9:00 PM (JUDY DISFAVORED)
         ALICE (PREFERRED)
    ---- PAINTING 2:00 PM - 9:00 PM (JUDY DISFAVORED)
         BOB (NEUTRAL)
SUMMARY
-- ALICE
   benefit: 13.000
   3 PREFERRED
   2 NEUTRAL
   0 DISFAVORED
-- BOB
   benefit: 14.000
   4 PREFERRED
   1 NEUTRAL
   0 DISFAVORED
-- CAROL
   benefit: 9.000
   3 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
-- DAVID
   benefit: 15.000
   5 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
-- EVE
   benefit: 9.000
   3 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
-- FRANK
   benefit: 13.000
   3 PREFERRED
   2 NEUTRAL
   0 DISFAVORED
-- GRACE
   benefit: 8.000
   2 PREFERRED
   1 NEUTRAL
   0 DISFAVORED
-- HEIDI
   benefit: 9.000
   1 PREFERRED
   3 NEUTRAL
   0 DISFAVORED
-- IVAN
   benefit: 12.000
   4 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
-- JUDY
   benefit: 6.000
   2 PREFERRED
   0 NEUTRAL
   0 DISFAVORED
This tells us that on Monday Judy does not work, although she marked the SAWING shift as PREFERRED. Instead David got that shift. What would happen if David gave that shift to Judy? He would lose 3 points, she would gain 3 points, and the total would remain exactly the same at 108. How would we favor a more even distribution? We need some sort of tie-break. I want to add a nonlinearity to strongly disfavor people getting a low number of shifts. But PuLP is very explicitly a linear programming solver, and cannot solve nonlinear problems. Here we can get around this by enumerating each specific case, and assigning it a nonlinear benefit function. The most obvious approach is to define another set of boolean variables: vars_Nshifts[human][N]. And then using them to add extra benefit terms, with values nonlinearly related to Nshifts. Something like this:
benefit_boost_Nshifts = \
     2: -0.8,
     3: -0.5,
     4: -0.3,
     5: -0.2 
for h in humans:
    benefits[h] = \
        ... + \
        pulp.lpSum([vars_Nshifts[h][n] * benefit_boost_Nshifts[n] \
                    for n in benefit_boost_Nshifts.keys()])
So in the previous example we considered giving David's 5th shift to Judy, for her 3rd shift. In that scenario, David's extra benefit would change from -0.2 to -0.3 (a shift of -0.1), while Judy's would change from -0.8 to -0.5 (a shift of +0.3). So the balancing out the shifts in this way would work: the solver would favor the solution with the higher benefit function. Great. In order for this to work, we need the vars_Nshifts[human][N] variables to function as intended: they need to be binary indicators of whether a specific person has that many shifts or not. That would need to be implemented with constraints. Let's plot it like this:
#!/usr/bin/python3
import numpy as np
import gnuplotlib as gp
Nshifts_eq  = 4
Nshifts_max = 10
Nshifts = np.arange(Nshifts_max+1)
i0 = np.nonzero(Nshifts != Nshifts_eq)[0]
i1 = np.nonzero(Nshifts == Nshifts_eq)[0]
gp.plot( # True value: var_Nshifts4==0, Nshifts!=4
         ( np.zeros(i0.shape),
           Nshifts[i0],
           dict(_with     = 'points pt 7 ps 1 lc "red"') ),
         # True value: var_Nshifts4==1, Nshifts==4
         ( np.ones(i1.shape),
           Nshifts[i1],
           dict(_with     = 'points pt 7 ps 1 lc "red"') ),
         # False value: var_Nshifts4==1, Nshifts!=4
         ( np.ones(i0.shape),
           Nshifts[i0],
           dict(_with     = 'points pt 7 ps 1 lc "black"') ),
         # False value: var_Nshifts4==0, Nshifts==4
         ( np.zeros(i1.shape),
           Nshifts[i1],
           dict(_with     = 'points pt 7 ps 1 lc "black"') ),
        unset=('grid'),
        _set = (f'xtics ("(Nshifts== Nshifts_eq ) == 0" 0, "(Nshifts== Nshifts_eq ) == 1" 1)'),
        _xrange = (-0.1, 1.1),
        ylabel = "Nshifts",
        title = "Nshifts equality variable: not linearly separable",
        hardcopy = "/tmp/scheduling-Nshifts-eq.svg")
scheduling-Nshifts-eq.svg
So a hypothetical vars_Nshifts[h][4] variable (plotted on the x axis of this plot) would need to be defined by a set of linear AND constraints to linearly separate the true (red) values of this variable from the false (black) values. As can be seen in this plot, this isn't possible. So this representation does not work. How do we fix it? We can use inequality variables instead. I define a different set of variables vars_Nshifts_leq[human][N] that are 1 iff Nshifts <= N. The equality variable from before can be expressed as a difference of these inequality variables: vars_Nshifts[human][N] = vars_Nshifts_leq[human][N]-vars_Nshifts_leq[human][N-1] Can these vars_Nshifts_leq variables be defined by a set of linear AND constraints? Yes:
#!/usr/bin/python3
import numpy as np
import numpysane as nps
import gnuplotlib as gp
Nshifts_leq = 4
Nshifts_max = 10
Nshifts = np.arange(Nshifts_max+1)
i0 = np.nonzero(Nshifts >  Nshifts_leq)[0]
i1 = np.nonzero(Nshifts <= Nshifts_leq)[0]
def linear_slope_yintercept(xy0,xy1):
    m = (xy1[1] - xy0[1])/(xy1[0] - xy0[0])
    b = xy1[1] - m * xy1[0]
    return np.array(( m, b ))
x01     = np.arange(2)
x01_one = nps.glue( nps.transpose(x01), np.ones((2,1)), axis=-1)
y_lowerbound = nps.inner(x01_one,
                         linear_slope_yintercept( np.array((0, Nshifts_leq+1)),
                                                  np.array((1, 0)) ))
y_upperbound = nps.inner(x01_one,
                         linear_slope_yintercept( np.array((0, Nshifts_max)),
                                                  np.array((1, Nshifts_leq)) ))
y_lowerbound_check = (1-x01) * (Nshifts_leq+1)
y_upperbound_check = Nshifts_max - x01*(Nshifts_max-Nshifts_leq)
gp.plot( # True value: var_Nshifts_leq4==0, Nshifts>4
         ( np.zeros(i0.shape),
           Nshifts[i0],
           dict(_with     = 'points pt 7 ps 1 lc "red"') ),
         # True value: var_Nshifts_leq4==1, Nshifts<=4
         ( np.ones(i1.shape),
           Nshifts[i1],
           dict(_with     = 'points pt 7 ps 1 lc "red"') ),
         # False value: var_Nshifts_leq4==1, Nshifts>4
         ( np.ones(i0.shape),
           Nshifts[i0],
           dict(_with     = 'points pt 7 ps 1 lc "black"') ),
         # False value: var_Nshifts_leq4==0, Nshifts<=4
         ( np.zeros(i1.shape),
           Nshifts[i1],
           dict(_with     = 'points pt 7 ps 1 lc "black"') ),
         ( x01, y_lowerbound, y_upperbound,
           dict( _with     = 'filledcurves lc "green"',
                 tuplesize = 3) ),
         ( x01, nps.cat(y_lowerbound_check, y_upperbound_check),
           dict( _with     = 'lines lc "green" lw 2',
                 tuplesize = 2) ),
        unset=('grid'),
        _set = (f'xtics ("(Nshifts<= Nshifts_leq ) == 0" 0, "(Nshifts<= Nshifts_leq ) == 1" 1)',
                'style fill transparent pattern 1'),
        _xrange = (-0.1, 1.1),
        ylabel = "Nshifts",
        title = "Nshifts inequality variable: linearly separable",
        hardcopy = "/tmp/scheduling-Nshifts-leq.svg")
scheduling-Nshifts-leq.svg
So we can use two linear constraints to make each of these variables work properly. To use these in the benefit function we can use the equality constraint expression from above, or we can use these directly:
# I want to favor people getting more extra shifts at the start to balance
# things out: somebody getting one more shift on their pile shouldn't take
# shifts away from under-utilized people
benefit_boost_leq_bound = \
     2: .2,
     3: .3,
     4: .4,
     5: .5 
# Constrain vars_Nshifts_leq variables to do the right thing
for h in humans:
    for b in benefit_boost_leq_bound.keys():
        prob += (pulp.lpSum([vars[h][s] for s in shifts.keys()])
                 >= (1 - vars_Nshifts_leq[h][b])*(b+1),
                 f" h  at least  b  shifts: lower bound")
        prob += (pulp.lpSum([vars[h][s] for s in shifts.keys()])
                 <= Nshifts_max - vars_Nshifts_leq[h][b]*(Nshifts_max-b),
                 f" h  at least  b  shifts: upper bound")
benefits = dict()
for h in humans:
    benefits[h] = \
        ... + \
        pulp.lpSum([vars_Nshifts_leq[h][b] * benefit_boost_leq_bound[b] \
                    for b in benefit_boost_leq_bound.keys()])
In this scenario, David would get a boost of 0.4 from giving up his 5th shift, while Judy would lose a boost of 0.2 from getting her 3rd, for a net gain of 0.2 benefit points. The exact numbers will need to be adjusted on a case by case basis, but this works. The full program, with this and other extra features is available here.

Otto Kek l inen: Will decentralized social media soon go mainstream?

Featured image of post Will decentralized social media soon go mainstream?In today s digital landscape, social media is more than just a communication tool it is the primary medium for global discourse. Heads of state, corporate leaders and cultural influencers now broadcast their statements directly to the world, shaping public opinion in real time. However, the dominance of a few centralized platforms X/Twitter, Facebook and YouTube raises critical concerns about control, censorship and the monopolization of information. Those who control these networks effectively wield significant power over public discourse. In response, a new wave of distributed social media platforms has emerged, each built on different decentralized protocols designed to provide greater autonomy, censorship resistance and user control. While Wikipedia maintains a comprehensive list of distributed social networking software and protocols, it does not cover recent blockchain-based systems, nor does it highlight which have the most potential for mainstream adoption. This post explores the leading decentralized social media platforms and the protocols they are based on: Mastodon (ActivityPub), Bluesky (AT Protocol), Warpcast (Farcaster), Hey (Lens) and Primal (Nostr).

Comparison of architecture and mainstream adoption potential
Protocol Identity System Example Storage model Cost for end users Potential
Mastodon Tied to server domain @ottok@mastodon.social Federated instances Free (some instances charge) High
Bluesky Portable (DID) ottoke.bsky.social Federated instances Free Moderate
Farcaster ENS (Ethereum) @ottok Blockchain + off-chain Small gas fees Moderate
Lens NFT-based (Polygon) @ottok Blockchain + off-chain Small gas fees Niche
Nostr Cryptographic Keys npub16lc6uhqpg6dnqajylkhwuh3j7ynhcnje508tt4v6703w9kjlv9vqzz4z7f Federated instances Free (some instances charge) Niche

1. Mastodon (ActivityPub) Screenshot of Mastodon Mastodon was created in 2016 by Eugen Rochko, a German software developer who sought to provide a decentralized and user-controlled alternative to Twitter. It was built on the ActivityPub protocol, now standardized by W3C Social Web Working Group, to allow users to join independent servers while still communicating across the broader Mastodon network. Mastodon operates on a federated model, where multiple independently run servers communicate via ActivityPub. Each server sets its own moderation policies, leading to a decentralized but fragmented experience. The servers can alternatively be called instances, relays or nodes, depending on what vocabulary a protocol has standardized on.
  • Identity: User identity is tied to the instance where they registered, represented as @username@instance.tld.
  • Storage: Data is stored on individual instances, which federate messages to other instances based on their configurations.
  • Cost: Free to use, but relies on instance operators willing to run the servers.
The protocol defines multiple activities such as:
  • Creating a post
  • Liking
  • Sharing
  • Following
  • Commenting

Example Message in ActivityPub (JSON-LD Format)
json
 
 "@context": "https://www.w3.org/ns/activitystreams",
 "type": "Create",
 "actor": "https://mastodon.social/users/ottok",
 "object":  
 "type": "Note",
 "content": "Hello from #Mastodon!",
 "published": "2025-03-03T12:00:00Z",
 "to": ["https://www.w3.org/ns/activitystreams#Public"]
  
 
Servers communicate across different platforms by publishing activities to their followers or forwarding activities between servers. Standard HTTPS is used between servers for communication, and the messages use JSON-LD for data representation. The WebFinger protocol is used for user discovery. There is however no neat way for home server discovery yet. This means that if you are browsing e.g. Fosstodon and want to follow a user and press Follow, a dialog will pop up asking you to enter your own home server (e.g. mastodon.social) to redirect you there for actually executing the Follow action on with your account. Mastodon is open source under the AGPL at github.com/mastodon/mastodon. Anyone can operate their own instance. It just requires to run your own server and some skills to maintain a Ruby on Rails app with a PostgreSQL database backend, and basic understanding of the protocol to configure federation with other ActivityPub instances.

Popularity: Already established, but will it grow more? Mastodon has seen steady growth, especially after Twitter s acquisition in 2022, with some estimates stating it peaked at 10 million users across thousands of instances. However, its fragmented user experience and the complexity of choosing instances have hindered mainstream adoption. Still, it remains the most established decentralized alternative to Twitter. Note that Donald Trump s Truth Social is based on the Mastodon software but does not federate with the ActivityPub network. The ActivityPub protocol is the most widely used of its kind. One of the other most popular services is the Lemmy link sharing service, similar to Reddit. The larger ecosystem of ActivityPub is called Fediverse, and estimates put the total active user count around 6 million.

2. Bluesky (AT Protocol) Screenshot of Bluesky Interestingly, Bluesky was conceived within Twitter in 2019 by Twitter founder Jack Dorsey. After being incubated as a Twitter-funded project, it spun off as an independent Public Benefit LLC in February 2022 and launched its public beta in February 2023. Bluesky runs on top of the Authenticated Transfer (AT) Protocol published at https://github.com/bluesky-social/atproto. The protocol enables portable identities and data ownership, meaning users can migrate between platforms while keeping their identity and content intact. In practice, however, there is only one popular server at the moment, which is Bluesky itself.
  • Identity: Usernames are domain-based (e.g., @user.bsky.social).
  • Storage: Content is theoretically federated among various servers.
  • Cost: Free to use, but relies on instance operators willing to run the servers.

Example Message in AT Protocol (JSON Format)
json
 
 "repo": "did:plc:ottoke.bsky.social",
 "collection": "app.bsky.feed.post",
 "record":  
 "$type": "app.bsky.feed.post",
 "text": "Hello from Bluesky!",
 "createdAt": "2025-03-03T12:00:00Z",
 "langs": ["en"]
  
 

Popularity: Hybrid approach may have business benefits? Bluesky reported over 3 million users by 2024, probably getting traction due to its Twitter-like interface and Jack Dorsey s involvement. Its hybrid approach decentralized identity with centralized components could make it a strong candidate for mainstream adoption, assuming it can scale effectively.

3. Warpcast (Farcaster Network) Farcaster was launched in 2021 by Dan Romero and Varun Srinivasan, both former crypto exchange Coinbase executives, to create a decentralized but user-friendly social network. Built on the Ethereum blockchain, it could potentially offer a very attack-resistant communication medium. However, in my own testing, Farcaster does not seem to fully leverage what Ethereum could offer. First of all, there is no diversity in programs implementing the protocol as at the moment there is only Warpcast. In Warpcast the signup requires an initial 5 USD fee that is not payable in ETH, and users need to create a new wallet address on the Ethereum layer 2 network Base instead of simply reusing their existing Ethereum wallet address or ENS name. Despite this, I can understand why Farcaster may have decided to start out like this. Having a single client program may be the best strategy initially. One of the decentralized chat protocol Matrix founders, Matthew Hodgson, shared in his FOSDEM 2025 talk that he slightly regrets focusing too much on developing the protocol instead of making sure the app to use it is attractive to end users. So it may be sensible to ensure Warpcast gets popular first, before attempting to make the Farcaster protocol widely used. As a protocol Farcaster s hybrid approach makes it more scalable than fully on-chain networks, giving it a higher chance of mainstream adoption if it integrates seamlessly with broader Web3 ecosystems.
  • Identity: ENS (Ethereum Name Service) domains are used as usernames.
  • Storage: Messages are stored in off-chain hubs, while identity is on-chain.
  • Cost: Users must pay gas fees for some operations but reading and posting messages is mostly free.

Example Message in Farcaster (JSON Format)
json
 
 "fid": 766579,
 "username": "ottok",
 "custodyAddress": "0x127853e48be3870172baa4215d63b6d815d18f21",
 "connectedWallet": "0x3ebe43aa3ae5b891ca1577d9c49563c0cee8da88",
 "text": "Hello from Farcaster!",
 "publishedAt": 1709424000,
 "replyTo": null,
 "embeds": []
 

Popularity: Decentralized social media + decentralized payments a winning combo? Ethereum founder Vitalik Buterin (warpcast.com/vbuterin) and many core developers are active on the platform. Warpcast, the main client for Farcaster, has seen increasing adoption, especially among Ethereum developers and Web3 enthusiasts. I too have an profile at warpcast.com/ottok. However, the numbers are still very low and far from reaching network effects to really take off. Blockchain-based social media networks, particularly those built on Ethereum, are compelling because they leverage existing user wallets and persistent identities while enabling native payment functionality. When combined with decentralized content funding through micropayments, these blockchain-backed social networks could offer unique advantages that centralized platforms may find difficult to replicate, being decentralized both as a technical network and in a funding mechanism.

4. Hey.xyz (Lens Network) The Lens Protocol was developed by decentralized finance (DeFi) team Aave and launched in May 2022 to provide a user-owned social media network. While initially built on Polygon, it has since launched its own Layer 2 network called the Lens Network in February 2024. Lens is currently the main competitor to Farcaster. Lens stores profile ownership and references on-chain, while content is stored on IPFS/Arweave, enabling composability with DeFi and NFTs.
  • Identity: Profile ownership is tied to NFTs on the Polygon blockchain.
  • Storage: Content is on-chain and integrates with IPFS/Arweave (like NFTs).
  • Cost: Users must pay gas fees for some operations but reading and posting messages is mostly free.

Example Message in Lens (JSON Format)
json
 
 "profileId": "@ottok",
 "contentURI": "ar://QmExampleHash",
 "collectModule": "0x23b9467334bEb345aAa6fd1545538F3d54436e96",
 "referenceModule": "0x0000000000000000000000000000000000000000",
 "timestamp": 1709558400
 

Popularity: Probably not as social media site, but maybe as protocol? The social media side of Lens is mainly the Hey.xyz website, which seems to have fewer users than Warpcast, and is even further away from reaching critical mass for network effects. The Lens protocol however has a lot of advanced features and it may gain adoption as the building block for many Web3 apps.

5. Primal.net (Nostr Network) Nostr (Notes and Other Stuff Transmitted by Relays) was conceptualized in 2020 by an anonymous developer known as fiatjaf. One of the primary design tenets was to be a censorship-resistant protocol and it is popular among Bitcoin enthusiasts, with Jack Dorsey being one of the public supporters. Unlike the Farcaster and Lens protocols, Nostr is not blockchain-based but just a network of relay servers for message distribution. If does however use public key cryptography for identities, similar to how wallets work in crypto.
  • Identity: Public-private key pairs define identity (with prefix npub...).
  • Storage: Content is federated among multiple servers, which in Nostr vocabulary are called relays.
  • Cost: No gas fees, but relies on relay operators willing to run the servers.

Example Message in Nostr (JSON Format)
json
 
 "id": "note1xyz...",
 "pubkey": "npub1...",
 "kind": 1,
 "content": "Hello from Nostr!",
 "created_at": 1709558400,
 "tags": [],
 "sig": "sig1..."
 

Popularity: If Jack Dorsey and Bitcoiners promote it enough? Primal.net as a web app is pretty solid, but it does not stand out much. While Jack Dorsey has shown support by donating $1.5 million to the protocol development in December 2021, its success likely depends on broader adoption by the Bitcoin community.

Will any of these replace X/Twitter? As usage patterns vary, the statistics are not fully comparable, but this overview of the situation in March 2025 gives a decent overview.
Platform Total Accounts Active Users Growth Trend
Mastodon ~10 million ~1 million Steady
Bluesky ~33 million ~1 million Steady
Nostr ~41 million ~20 thousand Steady
Farcaster ~850 thousand ~50 thousand Flat
Lens ~140 thousand ~20 thousand Flat
Mastodon and Bluesky have already reached millions of users, while Lens and Farcaster are growing within crypto communities. It is however clear that none of these are anywhere close to how popular X/Twitter is. In particular, Mastodon had a huge influx of users in the fall of 2022 when Twitter was acquired, but to challenge the incumbents the growth would need to significantly accelerate. We can all accelerate this development by embracing decentralized social media now alongside existing dominant platforms. Who knows, given the right circumstances maybe X.com leadership decides to change the operating model and start federating contents to break out from a walled garden model. The likelyhood of such development would increase if decentralized networks get popular, and the encumbents feel they need to participate to not lose out.

Past and future The idea of decentralized social media is not new. One early pioneer identi.ca launched in 2008, only two years after Twitter, using the OStatus protocol to promote decentralization. A few years later it evolved into pump.io with the ActivityPump protocol, and also forked into GNU Social that continued with OStatus. I remember when these happened, and that in 2010 also Diaspora launched with fairly large publicity. Surprisingly both of these still operate (I can still post both on identi.ca and diasp.org), but the activity fizzled out years ago. The protocol however survived partially and evolved into ActivityPub, which is now the backbone of the Fediverse. The evolution of decentralized social media over the next decade will likely parallel developments in democracy, freedom of speech and public discourse. While the early 2010s emphasized maximum independence and freedom, the late 2010s saw growing support for content moderation to combat misinformation. The AI era introduces new challenges, potentially requiring proof-of-humanity verification for content authenticity. Key factors that will determine success:
  • User experience and ease of onboarding
  • Network effects and critical mass of users
  • Integration with existing web3 infrastructure
  • Balance between decentralization and usability
  • Sustainable economic models for infrastructure
This is clearly an area of development worth monitoring closely, as the next few years may determine which protocol becomes the de facto standard for decentralized social communication.

11 February 2025

B lint R czey: Supercharge Your Installs with apt-eatmydata: Because Who Needs Crash Safety Anyway?

APT eatmydata super cow powers
Tired of waiting for apt to finish installing packages? Wish there were a way to make your installations blazingly fast without caring about minor things like, oh, data integrity? Well, today is your lucky day!
I m thrilled to introduce apt-eatmydata, now available for Debian and all supported Ubuntu releases!

What Is apt-eatmydata? If you ve ever used libeatmydata, you know it s a nifty little hack that disables fsync() and friends, making package installations way faster by skipping unnecessary disk writes. Normally, you d have to remember to wrap apt commands manually, like this:
eatmydata apt install texlive-full
But who has time for that? apt-eatmydata takes care of this automagically by integrating eatmydata seamlessly into apt itself! That means every package install is now turbocharged no extra typing required.

How to Get It

Debian If you re on Debian unstable/testing (or possibly soon in stable-backports), you can install it directly with:
sudo apt install apt-eatmydata

Ubuntu Ubuntu users already enjoy faster package installation thanks to zstd-compressed packages and to switch to even higher gear I ve backported apt-eatmydata to all supported Ubuntu releases. Just add this PPA and install:
sudo add-apt-repository ppa:firebuild/apt-eatmydata
sudo apt install apt-eatmydata
And boom! Your apt install times are getting serious upgrade. Let s run some tests
# pre-download package to measure only the installation
$ sudo apt install -d linux-headers-6.8.0-53-lowlatency
...
# installation time is 9.35s without apt-eatmydata:
$ sudo time apt install linux-headers-6.8.0-53-lowlatency
...
2.30user 2.12system 0:09.35elapsed 47%CPU (0avgtext+0avgdata 174680maxresident)k
32inputs+1495216outputs (0major+196945minor)pagefaults 0swaps
$ sudo apt install apt-eatmydata
...
$ sudo apt purge linux-headers-6.8.0-53-lowlatency
# installation time is 3.17s with apt-eatmydata:
$ sudo time eatmydata apt install linux-headers-6.8.0-53-lowlatency
2.30user 0.88system 0:03.17elapsed 100%CPU (0avgtext+0avgdata 174692maxresident)k
0inputs+205664outputs (0major+198099minor)pagefaults 0swaps
apt-eatmydata just made installing Linux headers 3x faster!

But Wait, There s More!  If you re automating CI builds, there s even a GitHub Action to make your workflows faster essentially doing what apt-eatmydata does, just setting it up in less than a second! Check it out here:
 GitHub Marketplace: apt-eatmydata

Should You Use It?  Warning: apt-eatmydata is not for all production environments. If your system crashes mid-install, you might end up with a broken package database. But for throwaway VMs, containers, and CI pipelines? It s an absolute game-changer. I use it on my laptop, too. So go forth and install recklessly fast!  If you run into any issues, feel free to file a bug or drop a comment. Happy hacking! (To accelerate your CI pipeline or local builds, check out Firebuild, that speeds up the builds, too!)

9 February 2025

Dave Hibberd: Radio Activity 10-16 Feb 2025

It s been quite the week of radio related nonsense for me, where I ve been channelling my time and brainspace for radio into activity on air and system refinements, not working on Debian.

POTA, Antennas and why do my toys not work? Having had my interest piqued by Ian at mastodon.radio, I looked online and spotted a couple of parks within stumbling distance of my house, that s good news! It looks like the list has been refactored and expanded since I last looked at it, so there are now more entities to activate and explore. My concerns about antennas noted last week rumbled on. There was a second strand to this concern too, my end fed 64:1 (or 49:1?!) transformer from MM0OPX sits in my mind as not having worked very well in Spain last year, and I want to get to the bottom of why. As with most things in my life, it s probably a me problem. I came up with a cunning plan - firstly, buy a new mast to replace the one I broke a few weeks back on Cat Law. Secondly, buy a couple of new connectors and some heatshrink to reterminate my cable that I m sure is broken. Spending more money on a problem never hurt anyone, right? Come Wednesday, the new toys arrived and I figured combining everything into one convenient night time walk and radio was a good plan. So I walk out to the nearest park with my LoRa APRS doofer going and see what happens: APRS-Map After circling a bit to find somewhere suitable (there appear to be construction works in the park!) I set up my gear in 2C with frost on the ground, called CQ, spotted and got nothing on either the end fed half wave or the cheap vertical. As it was too late for 20m, I tried 40 and a bit of 80 using the inbuilt tuner, but wasn t heard by stations I called or when calling independently. I packed everything up and lora-doofered my way home, mildly deflated.

Try it at home It still didn t sit with me that the end fed wasn t working, so come Friday night I set it up in the back garden/woods behind the house to try and diagnose why it wasn t working. Up it went, I worked some Irish stations pretty effortlessly, and down everything came. No complaints - the only things I did differently was have the feedpoint a little higher and check my power, limiting it to 10W. The G90 can do 20W, I wonder if running at that was saturating the core in the 64:1. At some point in the evening I stepped in some dog s shit too, and spent some time cleaning my boots outside to avoid further tramping the smell through the house. Win some, lose some.

Take it to the Hills On Friday, some of the other GM-ES Sota-ists had been out for an activity day. On account of me being busy in work, I couldn t go outside to play, but I figured a weekend of activity was on the books.

Saturday - A day above the clouds On Saturday I took myself up Tap O Noth, a favourite of mine for some reason, and Lord Arthur s Hill. Before I hit the hills, I took myself to the hackerspace and printed myself a K6ARK Winder and a guy ring for the mast, cut string, tied it together and wound the string on to the winder. I also took time to buzz out my wonky coax and it showed great continuity. Hmm, that can be continued later. I didn t quite get to crimping the radial network of the Aliexpress whip with a 12mm stud crimp, that can also be put on the TODO list.

Tap O Noth Once finally out, the weather was a bit cloudy with passing snow showers, but in between the showers I was above the clouds and the air was clear: After a mild struggle on 2m, I set up the end fed the first hill and got to work from the old hill fort: The end fed worked flawlessly. Exactly as promised, switching between 7MHz, 14MHz, 21MHz and 28MHz without a tuner was perfect, I chased hills on all the bands, and had a great time. Apart from 40m, where there was absolutely no space due to a contest. That wasn t such a fun time! My fingers were bitterly cold, so on went the big gloves for the descent and I felt like I was warm by the time I made it back to the car. It worked so well, in fact, I took the 1/4 wave cheap vertical out my bag and decided to brave it on the next activation.

Lord Arthur s Hill GM5ALX has posted a .gpx to sotlas which is shorter than the other ascent, but much sharper - I figured this would be a fun new way to try up the hill! It takes you right through the heart of the Littlewood Park estate, and I felt a bit uncomfortable walking straight past the estate cottages, especially when there were vehicles moving and active work happening. Presumably this is where Lord Arthur lived, at the foot of his hill. I cut through the woods to the west of the cottages, disturbing some deer and many, many pheasants, but I met the path fairly quickly. From there it was a 2km walk, 300m vertical ascent. Short and sharp! At the top, I was treated to a view of the hill I had activated only an hour or so before, which is a view that always makes me smile: To get some height for the feedpoint, I wrapped the coax around my winder a couple of turns and trapped it with the elastic while draping the coax over the trig. This bought me some more height and I felt clever because of it. Maybe a pole would be easier? From here, I worked inter-G on 40m and had a wee pile up, eventually working 15 or so European stations on 20m. Pleased with that! I had been considering a third hill, but home was the call in the failing light. Back to the car I walked to find my key didn t have any battery, so out came the Audi App and I used the Internet of Things to unlock my car. The modern world is bizarre.

Sunday - Cloudy Head // Head in the Clouds Sunday started off migraney, so I stayed within the confines of my house until I felt safe driving! After some back and forth in my cloudy head, I opted for the easier option of Ladylea Hill as I wasn t feeling up for major physical exertion. It was a long drive, after which I felt more wonky, but I hit the path eventually - I run to Hibby Standard Time, a few hours to a few days behind the rest of GM/ES. I was ready to bail if my head didn t improve, but it turns out, fresh cold air, silence and bloodflow helped. Ladylea Hill was incredibly quiet, a feature I really appreciated. It feels incredibly remote, with a long winding drive down Glenbuchat, which still has ice on the surface of the lochs and standing water. A brooding summit crowned with grey cloud in fantastic scenery that only revealed itself upon the clouds blowing through: I set up at the cairn and picked up 30 contacts overall, split between 40m and 20m, with some inter-g on 40 and a couple of continental surprises. 20 had longer skip today, so I saw Spain, Finland, Slovenia, Poland. On teardown, I managed to snap the top segment of my brand new mast with my cold, clumsy fingers, but thankfully sotabeams stock replacements. More money at the problem, again. Back to the car, no app needed, and homeward bound as the light faded. At the end of the weekend, I find myself finally over 100 activator points and over 400 chaser points. Somehow I ve collected more points this year already than last year, the winter bonuses really do stack up!

Addendum - OSMAnd & Open Street Map I ve been using OSMAnd on my iPhone quite extensively recently, I think offline mapping is super important if you re going out to get mildly lost in the hills. On more than one occasion, I have confidently set off in the wrong direction in the mist, and maps have saved my bacon! As you can download .gpx files, it s great to have them on the device and available for guidance in case you get lost, coupled with an offline map. Plus, as I drive around I love to have the dark red of a hill I ve walked appear on the map in my car dash or in my hand: This weekend I discovered it s possible to have height maps for nice 3d maps and contours marked on the map - you just need to download some additions for the maps. This is a really nice feature, it makes maps more pretty and more useful when you re in the middle of nowhere. Open Street Map also has designators for SOTA summits here and similar for POTA here GM5ALX has set to adding the summits around Scotland here. While the benefits aren t immediately obvious, it allows developers of mapping applications access to more data at no extra cost, really. It helps add depth to an already rich set of information, and allows us as radio amateurs to do more interesting things with maps and not be shackled to Apple/Google. Because it s open data, we can also fix things we find wrong as users. I like to fix road surfaces after I ve been cycling as that will feed forward to route planning through Komoot and data on my wahoo too, which can be modified with osm maps. In the future, it s possible to have an OSMAnd plugin highlighting local SOTA summits or mimicking features of sotl.as but offline. It s cool to be able to put open technologies to use like this in the field and really is the convergence point of all my favourite things!

5 February 2025

Reproducible Builds: Reproducible Builds in January 2025

Welcome to the first report in 2025 from the Reproducible Builds project! Our monthly reports outline what we ve been up to over the past month and highlight items of news from elsewhere in the world of software supply-chain security when relevant. As usual, though, if you are interested in contributing to the Reproducible Builds project, please visit our Contribute page on our website. Table of contents:
  1. reproduce.debian.net
  2. Two new academic papers
  3. Distribution work
  4. On our mailing list
  5. Upstream patches
  6. diffoscope
  7. Website updates
  8. Reproducibility testing framework

reproduce.debian.net The last few months saw the introduction of reproduce.debian.net. Announced at the recent Debian MiniDebConf in Toulouse, reproduce.debian.net is an instance of rebuilderd operated by the Reproducible Builds project. Powering that is rebuilderd, our server designed monitor the official package repositories of Linux distributions and attempt to reproduce the observed results there. This month, however, we are pleased to announce that in addition to the existing amd64.reproduce.debian.net and i386.reproduce.debian.net architecture-specific pages, we now build for a three more architectures (for a total of five) arm64 armhf and riscv64.

Two new academic papers Giacomo Benedetti, Oreofe Solarin, Courtney Miller, Greg Tystahl, William Enck, Christian K stner, Alexandros Kapravelos, Alessio Merlo and Luca Verderame published an interesting article recently. Titled An Empirical Study on Reproducible Packaging in Open-Source Ecosystem, the abstract outlines its optimistic findings:
[We] identified that with relatively straightforward infrastructure configuration and patching of build tools, we can achieve very high rates of reproducible builds in all studied ecosystems. We conclude that if the ecosystems adopt our suggestions, the build process of published packages can be independently confirmed for nearly all packages without individual developer actions, and doing so will prevent significant future software supply chain attacks.
The entire PDF is available online to view.
In addition, Julien Malka, Stefano Zacchiroli and Th o Zimmermann of T l com Paris in-house research laboratory, the Information Processing and Communications Laboratory (LTCI) published an article asking the question: Does Functional Package Management Enable Reproducible Builds at Scale?. Answering strongly in the affirmative, the article s abstract reads as follows:
In this work, we perform the first large-scale study of bitwise reproducibility, in the context of the Nix functional package manager, rebuilding 709,816 packages from historical snapshots of the nixpkgs repository[. We] obtain very high bitwise reproducibility rates, between 69 and 91% with an upward trend, and even higher rebuildability rates, over 99%. We investigate unreproducibility causes, showing that about 15% of failures are due to embedded build dates. We release a novel dataset with all build statuses, logs, as well as full diffoscopes: recursive diffs of where unreproducible build artifacts differ.
As above, the entire PDF of the article is available to view online.

Distribution work There as been the usual work in various distributions this month, such as:
  • 10+ reviews of Debian packages were added, 11 were updated and 10 were removed this month adding to our knowledge about identified issues. A number of issue types were updated also.
  • The FreeBSD Foundation announced that a planned project to deliver zero-trust builds has begun in January 2025 . Supported by the Sovereign Tech Agency, this project is centered on the various build processes, and that the primary goal of this work is to enable the entire release process to run without requiring root access, and that build artifacts build reproducibly that is, that a third party can build bit-for-bit identical artifacts. The full announcement can be found online, which includes an estimated schedule and other details.

On our mailing list On our mailing list this month:
  • Following-up to a substantial amount of previous work pertaining the Sphinx documentation generator, James Addison asked a question pertaining to the relationship between SOURCE_DATE_EPOCH environment variable and testing that generated a number of replies.
  • Adithya Balakumar of Toshiba asked a question about whether it is possible to make ext4 filesystem images reproducible. Adithya s issue is that even the smallest amount of post-processing of the filesystem results in the modification of the Last mount and Last write timestamps.
  • James Addison also investigated an interesting issue surrounding our disorderfs filesystem. In particular:
    FUSE (Filesystem in USErspace) filesystems such as disorderfs do not delete files from the underlying filesystem when they are deleted from the overlay. This can cause seemingly straightforward tests for example, cases that expect directory contents to be empty after deletion is requested for all files listed within them to fail.

Upstream patches The Reproducible Builds project detects, dissects and attempts to fix as many currently-unreproducible packages as possible. We endeavour to send all of our patches upstream where appropriate. This month, we wrote a large number of such patches, including:

diffoscope diffoscope is our in-depth and content-aware diff utility that can locate and diagnose reproducibility issues. This month, Chris Lamb made the following changes, including preparing and uploading versions 285, 286 and 287 to Debian:
  • Security fixes:
    • Validate the --css command-line argument to prevent a potential Cross-site scripting (XSS) attack. Thanks to Daniel Schmidt from SRLabs for the report. [ ]
    • Prevent XML entity expansion attacks. Thanks to Florian Wilkens from SRLabs for the report.. [ ][ ]
    • Print a warning if we have disabled XML comparisons due to a potentially vulnerable version of pyexpat. [ ]
  • Bug fixes:
    • Correctly identify changes to only the line-endings of files; don t mark them as Ordering differences only. [ ]
    • When passing files on the command line, don t call specialize( ) before we ve checked that the files are identical or not. [ ]
    • Do not exit with a traceback if paths are inaccessible, either directly, via symbolic links or within a directory. [ ]
    • Don t cause a traceback if cbfstool extraction failed.. [ ]
    • Use the surrogateescape mechanism to avoid a UnicodeDecodeError and crash when any decoding zipinfo output that is not UTF-8 compliant. [ ]
  • Testsuite improvements:
    • Don t mangle newlines when opening test fixtures; we want them untouched. [ ]
    • Move to assert_diff in test_text.py. [ ]
  • Misc improvements:
    • Drop unused subprocess imports. [ ][ ]
    • Drop an unused function in iso9600.py. [ ]
    • Inline a call and check of Config().force_details; no need for an additional variable in this particular method. [ ]
    • Remove an unnecessary return value from the Difference.check_for_ordering_differences method. [ ]
    • Remove unused logging facility from a few comparators. [ ]
    • Update copyright years. [ ][ ]
In addition, fridtjof added support for the ASAR .tar-like archive format. [ ][ ][ ][ ] and lastly, Vagrant Cascadian updated diffoscope in GNU Guix to version 285 [ ][ ] and 286 [ ][ ].
strip-nondeterminism is our sister tool to remove specific non-deterministic results from a completed build. This month version 1.14.1-1 was uploaded to Debian unstable by Chris Lamb, making the following the changes:
  • Clarify the --verbose and non --verbose output of bin/strip-nondeterminism so we don t imply we are normalizing files that we are not. [ ]
  • Bump Standards-Version to 4.7.0. [ ]

Website updates There were a large number of improvements made to our website this month, including:

Reproducibility testing framework The Reproducible Builds project operates a comprehensive testing framework running primarily at tests.reproducible-builds.org in order to check packages and other artifacts for reproducibility. In January, a number of changes were made by Holger Levsen, including:
  • reproduce.debian.net-related:
    • Add support for rebuilding the armhf architecture. [ ][ ]
    • Add support for rebuilding the arm64 architecture. [ ][ ][ ][ ]
    • Add support for rebuilding the riscv64 architecture. [ ][ ]
    • Move the i386 builder to the osuosl5 node. [ ][ ][ ][ ]
    • Don t run our rebuilders on a public port. [ ][ ]
    • Add database backups on all builders and add links. [ ][ ]
    • Rework and dramatically improve the statistics collection and generation. [ ][ ][ ][ ][ ][ ]
    • Add contact info to the main page [ ], thumbnails [ ] as well as the new, missing architectures. [ ]
    • Move the amd64 worker to the osuosl4 and node. [ ]
    • Run the underlying debrebuild script under nice. [ ]
    • Try to use TMPDIR when calling debrebuild. [ ][ ]
  • buildinfos.debian.net-related:
    • Stop creating buildinfo-pool_$ suite _$ arch .list files. [ ]
    • Temporarily disable automatic updates of pool links. [ ]
  • FreeBSD-related:
    • Fix the sudoers to actually permit builds. [ ]
    • Disable debug output for FreeBSD rebuilding jobs. [ ]
    • Upgrade to FreeBSD 14.2 [ ] and document that bmake was installed on the underlying FreeBSD virtual machine image [ ].
  • Misc:
    • Update the real year to 2025. [ ]
    • Don t try to install a Debian bookworm kernel from backports on the infom08 node which is running Debian trixie. [ ]
    • Don t warn about system updates for systems running Debian testing. [ ]
    • Fix a typo in the ZOMBIES definition. [ ][ ]
In addition:
  • Ed Maste modified the FreeBSD build system to the clean the object directory before commencing a build. [ ]
  • Gioele Barabucci updated the rebuilder stats to first add a category for network errors [ ] as well as to categorise failures without a diffoscope log [ ].
  • Jessica Clarke also made some FreeBSD-related changes, including:
    • Ensuring we clean up the object directory for second build as well. [ ][ ]
    • Updating the sudoers for the relevant rm -rf command. [ ]
    • Update the cleanup_tmpdirs method to to match other removals. [ ]
  • Jochen Sprickerhof:
  • Roland Clobus:
    • Update the reproducible_debstrap job to call Debian s debootstrap with the full path [ ] and to use eatmydata as well [ ][ ].
    • Make some changes to deduce the CPU load in the debian_live_build job. [ ]
Lastly, both Holger Levsen [ ] and Vagrant Cascadian [ ] performed some node maintenance.
If you are interested in contributing to the Reproducible Builds project, please visit our Contribute page on our website. However, you can get in touch with us via:

2 January 2025

Matthew Garrett: The GPU, not the TPM, is the root of hardware DRM

As part of their "Defective by Design" anti-DRM campaign, the FSF recently made the following claim:
Today, most of the major streaming media platforms utilize the TPM to decrypt media streams, forcefully placing the decryption out of the user's control (from here).
This is part of an overall argument that Microsoft's insistence that only hardware with a TPM can run Windows 11 is with the goal of aiding streaming companies in their attempt to ensure media can only be played in tightly constrained environments.

I'm going to be honest here and say that I don't know what Microsoft's actual motivation for requiring a TPM in Windows 11 is. I've been talking about TPM stuff for a long time. My job involves writing a lot of TPM code. I think having a TPM enables a number of worthwhile security features. Given the choice, I'd certainly pick a computer with a TPM. But in terms of whether it's of sufficient value to lock out Windows 11 on hardware with no TPM that would otherwise be able to run it? I'm not sure that's a worthwhile tradeoff.

What I can say is that the FSF's claim is just 100% wrong, and since this seems to be the sole basis of their overall claim about Microsoft's strategy here, the argument is pretty significantly undermined. I'm not aware of any streaming media platforms making use of TPMs in any way whatsoever. There is hardware DRM that the media companies use to restrict users, but it's not in the TPM - it's in the GPU.

Let's back up for a moment. There's multiple different DRM implementations, but the big three are Widevine (owned by Google, used on Android, Chromebooks, and some other embedded devices), Fairplay (Apple implementation, used for Mac and iOS), and Playready (Microsoft's implementation, used in Windows and some other hardware streaming devices and TVs). These generally implement several levels of functionality, depending on the capabilities of the device they're running on - this will range from all the DRM functionality being implemented in software up to the hardware path that will be discussed shortly. Streaming providers can choose what level of functionality and quality to provide based on the level implemented on the client device, and it's common for 4K and HDR content to be tied to hardware DRM. In any scenario, they stream encrypted content to the client and the DRM stack decrypts it before the compressed data can be decoded and played.

The "problem" with software DRM implementations is that the decrypted material is going to exist somewhere the OS can get at it at some point, making it possible for users to simply grab the decrypted stream, somewhat defeating the entire point. Vendors try to make this difficult by obfuscating their code as much as possible (and in some cases putting some of it in-kernel), but pretty much all software DRM is at least somewhat broken and copies of any new streaming media end up being available via Bittorrent pretty quickly after release. This is why higher quality media tends to be restricted to clients that implement hardware-based DRM.

The implementation of hardware-based DRM varies. On devices in the ARM world this is usually handled by performing the cryptography in a Trusted Execution Environment, or TEE. A TEE is an area where code can be executed without the OS having any insight into it at all, with ARM's TrustZone being an example of this. By putting the DRM code in TrustZone, the cryptography can be performed in RAM that the OS has no access to, making the scraping described earlier impossible. x86 has no well-specified TEE (Intel's SGX is an example, but is no longer implemented in consumer parts), so instead this tends to be handed off to the GPU. The exact details of this implementation are somewhat opaque - of the previously mentioned DRM implementations, only Playready does hardware DRM on x86, and I haven't found any public documentation of what drivers need to expose for this to work.

In any case, as part of the DRM handshake between the client and the streaming platform, encryption keys are negotiated with the key material being stored in the GPU or the TEE, inaccessible from the OS. Once decrypted, the material is decoded (again either on the GPU or in the TEE - even in implementations that use the TEE for the cryptography, the actual media decoding may happen on the GPU) and displayed. One key point is that the decoded video material is still stored in RAM that the OS has no access to, and the GPU composites it onto the outbound video stream (which is why if you take a screenshot of a browser playing a stream using hardware-based DRM you'll just see a black window - as far as the OS can see, there is only a black window there).

Now, TPMs are sometimes referred to as a TEE, and in a way they are. However, they're fixed function - you can't run arbitrary code on the TPM, you only have whatever functionality it provides. But TPMs do have the ability to decrypt data using keys that are tied to the TPM, so isn't this sufficient? Well, no. First, the TPM can't communicate with the GPU. The OS could push encrypted material to it, and it would get plaintext material back. But the entire point of this exercise was to avoid the decrypted version of the stream from ever being visible to the OS, so this would be pointless. And rather more fundamentally, TPMs are slow. I don't think there's a TPM on the market that could decrypt a 1080p stream in realtime, let alone a 4K one.

The FSF's focus on TPMs here is not only technically wrong, it's indicative of a failure to understand what's actually happening in the industry. While the FSF has been focusing on TPMs, GPU vendors have quietly deployed all of this technology without the FSF complaining at all. Microsoft has enthusiastically participated in making hardware DRM on Windows possible, and user freedoms have suffered as a result, but Playready hardware-based DRM works just fine on hardware that doesn't have a TPM and will continue to do so.

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17 December 2024

Gunnar Wolf: The science of detecting LLM-generated text

This post is a review for Computing Reviews for The science of detecting LLM-generated text , a article published in Communications of the ACM
While artificial intelligence (AI) applications for natural language processing (NLP) are no longer something new or unexpected, nobody can deny the revolution and hype that started, in late 2022, with the announcement of the first public version of ChatGPT. By then, synthetic translation was well established and regularly used, many chatbots had started attending users requests on different websites, voice recognition personal assistants such as Alexa and Siri had been widely deployed, and complaints of news sites filling their space with AI-generated articles were already commonplace. However, the ease of prompting ChatGPT or other large language models (LLMs) and getting extensive answers its text generation quality is so high that it is often hard to discern whether a given text was written by an LLM or by a human has sparked significant concern in many different fields. This article was written to present and compare the current approaches to detecting human- or LLM-authorship in texts. The article presents several different ways LLM-generated text can be detected. The first, and main, taxonomy followed by the authors is whether the detection can be done aided by the LLM s own functions ( white-box detection ) or only by evaluating the generated text via a public application programming interface (API) ( black-box detection ). For black-box detection, the authors suggest training a classifier to discern the origin of a given text. Although this works at first, this task is doomed from its onset to be highly vulnerable to new LLMs generating text that will not follow the same patterns, and thus will probably evade recognition. The authors report that human evaluators find human-authored text to be more emotional and less objective, and use grammar to indicate the tone of the sentiment that should be used when reading the text a trait that has not been picked up by LLMs yet. Human-authored text also tends to have higher sentence-level coherence, with less term repetition in a given paragraph. The frequency distribution for more and less common words is much more homogeneous in LLM-generated texts than in human-written ones. White-box detection includes strategies whereby the LLMs will cooperate in identifying themselves in ways that are not obvious to the casual reader. This can include watermarking, be it rule based or neural based; in this case, both processes become a case of steganography, as the involvement of a LLM is explicitly hidden and spread through the full generated text, aiming at having a low detectability and high recoverability even when parts of the text are edited. The article closes by listing the authors concerns about all of the above-mentioned technologies. Detecting an LLM, be it with or without the collaboration of the LLM s designers, is more of an art than a science, and methods deemed as robust today will not last forever. We also cannot assume that LLMs will continue to be dominated by the same core players; LLM technology has been deeply studied, and good LLM engines are available as free/open-source software, so users needing to do so can readily modify their behavior. This article presents itself as merely a survey of methods available today, while also acknowledging the rapid progress in the field. It is timely and interesting, and easy to follow for the informed reader coming from a different subfield.

16 December 2024

Russ Allbery: Review: Finders

Review: Finders, by Melissa Scott
Series: Firstborn, Lastborn #1
Publisher: Candlemark & Gleam
Copyright: 2018
ISBN: 1-936460-87-4
Format: Kindle
Pages: 409
Finders is a far future science fiction novel with cyberpunk vibes. It is the first of a series, but the second (and, so far, only other) book of the series is a prequel. It stands alone reasonably well (more on that later). Cassilde Sam is a salvor. That means she specializes in exploring ancient wrecks and ruins left behind by the Ancients and salvaging materials that can be reused. The most important of those are what are called Ancestral elements: BLUE, which can hold programming; GOLD, which which reacts to BLUE instructions; RED, which produces actions or output; and GREEN, the rarest and most valuable, which powers everything else. Cassilde and her partner Dai Winter file claims on newly-discovered or incompletely salvaged Ancestor sites and then extract elemental material and anything else of value in their small salvage ship. Cassilde is also dying. She has Lightman's, an incurable degenerative disease that can only be treated with ever-increasing quantities of GREEN. It's hard to sleep, hard to get warm, hard to breathe, and eventually she'll run out of money to pay for the GREEN and she'll die. To push that day off into the future, she and Dai need work. The good news is that the wreckage of a new Ancestor sky palace was discovered in a long orbit and will create enough salvage work for every experienced salvor in the system. The bad news is that they're not qualified to bid on it. They need a scholar with a class-one license to bid on the best sections, and they haven't had a reliable scholar since their former partner and lover Summerland Ashe picked the opposite side in the Troubles and left the Fringe for the Entente, the more densely settled and connected portion of human space. But, unexpectedly and suspiciously, Ashe may be back and offering to work with them again. So, first, I love this setting. This is far from the first SF novel that is set in the aftermath of a general collapse of human civilization and revolving around discovering lost mysteries. Most examples of that genre are post-apocalyptic novels limited to Earth or the local solar system, but Kate Elliott's Unconquerable Sun comes immediately to mind. It's also not the first space archaeology series I've read; Kristine Kathyrn Rusch's story series starting with "Diving into the Wreck" also came to mind. But I don't recall the last time I've seen the author sell the setting so effectively. This is a world with starships and spaceports and clearly advanced technology, but it feels like a post-collapse society that's built on ruins. It's not just that technology runs on half-understood Ancestral elements and states fight over control of debris fields. It's also that the society repurposes Ancestral remnants in ways that both they and the reader know weren't originally intended, and that sometimes are more ingenious or efficient than how the Ancestors probably used them. There's a creative grittiness here that reminds me of good cyberpunk. It's not just good atmospheric writing, though. Scott makes a world-building decision that is going to sound trivial when I say it, but that has brilliant implications for the rest of the setting. There was not just one collapse; there were two. The Ancestor civilization, presumed to be the first human civilization, has passed into myth, quite literally when it comes to the stories around its downfall in the aftermath of a war against AIs. After the Ancestors came the Successors, who followed a similar salvage and rebuild approach and got as far as inventing their own warp drive technology that was based on but different than the Ancestor technology. Then they also collapsed, leaving their adapted technology and salvage operations layered over Ancestor sites. Cassilde's civilization is the third human starfaring civilization, and it is very specifically the third, neither the second nor one of dozens. This has so many small but effective implications that improve this story. A fall happened twice, so it feels like a pattern that makes Cassilde's civilization paranoid, but it happened for two very different reasons, so there is room to argue against it being a pattern. Salvage is harder because of the layering of Ancestor and Successor activity. Successors had their own way of controlling technology that is not accessible to Cassilde and her crew but is also not how the technology was intended to be used, which sends small ripples of interesting complexity through the background. And salvors are competing not only against each other but also against Successor salvage operations for which they have fragmentary records. It's a beautifully effective touch. Melissa Scott has been publishing science fiction for forty years, and it shows in this book. The protagonists are older characters: established professionals with resource problems but also social connections and an earned reputation, people who are trying to do a job and live their lives, not change the world. The writing is competent, deft, and atmospheric, with the confidence of long practice, but it also has the feel of an earlier era of science fiction. I mentioned the cyberpunk influence, which shows in the grittiness of the descriptions, the marginality of the characters in society, and the background theme of repurposing and reusing technology in unintended ways. This is the sort of book that feels solidly in the center of science fiction, without the genre mixing into either fantasy or romance that has become somewhat more common, and also without the dramatics of space opera (although the reader discovers that the stakes of this novel may be higher than anyone realized). And yet, so much of this book is about navigating a complicated romantic relationship, and that's where the story structure felt a bit odd. Cassilde, Dai, and Ashe were a polyamorous triad (polyamory also shows up in Scott's excellent Roads of Heaven series), and much of the first third of the book deals with the fracturing of trust with Ashe and their renegotiation of that relationship given his return. This is refreshingly written as the thoughtful interaction of three adults who take issues of trust seriously, but that also means it's much less dramatic than it sounds, and that means this book starts exceptionally slow. Scott is going somewhere, and the slow build became engrossing around the midpoint of the book, but I had to fight to stick with it at the start. About 80% of the way through this book, I had no idea how Scott was going to wrap things up in the pages remaining and was bracing myself for some sort of series cliffhanger. This is not what happens; the plot is not fully resolved in every detail, but it reaches a conclusion of sorts that does not mandate a sequel. I did think the end was a little bit unsatisfying, though, and I want another book that explores the implications of the ending. I think it would have to be a much different book, and the tonal shift might be stark. I've had this book on my to-read list for a while and kept putting it off because I wasn't sure I was in the mood for something precarious and gritty. This turned out to be an accurate worry: this is literally a book about salvaging the pieces of something full of wonders inextricably connected to dangers. You have to be in a cyberpunk sort of mood. But I've never read a bad Melissa Scott book, and this is no exception. The simplicity and ALL-CAPSNESS of the Ancestral elements grated a bit, but apart from that, the world-building is exceptional and well worth the trip. Recommended, although be warned that, if you're like me, it may not grab you from the first page. Followed by Fallen, but that book is a prequel that does not share any protagonists. Content notes: disability and degenerative illness in a universe where magical cures are possible, so be warned if that specific thematic combination is not what you're looking for. Rating: 7 out of 10

15 December 2024

Russell Coker: Hisense 65U80G 65 Inch 8K ULED Android TV (2021)

The Aim I just bought a Hisense 65U80G 65 Inch 8K ULED Android TV (2021 model) for $1,568 including delivery. I got that deal by googling refurbished 8K TVs and finding the cheapest one I could buy. Amazon and eBay didn t have any good prices on second hand 8K TVs and new ones start at $3,000 on special. I didn t assess how Hisense compares to other TVs, as far as I could determine there was only one model of 8K TV on sale in Australia in the price range I was prepared to pay. So I won t review how this TV compares to other models but how refurbished TVs compare to other display options. I bought this because the highest resolution monitor in my price range is 5120*2160 [1]. While I could get a 5128*2880 monitor for around $1,500 paying 3* the money for 33% more pixels is bad value for money. Getting 4* the pixels for under 3* the price is good value even when it s a TV with the lower display quality that involves. Before buying this TV I read this blog post by Daniel Lawrence about using an 8K TV as a primary monitor [2]. While he has an interesting setup with a 65 TV on a large desk it s not what I plan to do at this time. My Plans for Use I don t plan to make it a main monitor. While 5120*2160 isn t as good as I like on my desk it s bearable and the quality of the display is high. High resolution isn t needed for all tasks, for example I m writing this blog post on my laptop while watching a movie on the 8K TV. One thing I d like to do with the 8K TV when I get it working as a monitor is to share the screen for team programming projects. I don t have any specific plans other than team coding projects at the moment. But it will be interesting to experiment with it when I get it working. Technical Issues with High Resolution Monitors Hardware Needed A lot of the graphic hardware out there don t support resolutions higher than 5120*2880. It seems that most laptops don t support resolutions higher than that and higher resolutions than 4K are difficult. Only quite recent and high end video cards will do 8K. Apparently the RTX 2080 is one of the oldest ones that does and that s $400 on ebay. Strangely the GPU chipset spec pages don t list the maximum resolution and there s the additional complication that the other chips might not support the resolutions that the GPU itself can support. As an aside I don t use NVidia cards for regular workstations due to reliability problems. But they are good for ML work and for special purpose systems. Interface Versions To do 8K video it seems that you need HDMI 2.1 (or maybe 2.0 with 4:2:0 chroma subsampling) or DisplayPort 1.3 for 30Hz with 24bit color and 2.0 for higher refresh rates. But using a particular version of the interface doesn t require supporting all the resolutions that it might support. This TV has HDMI 2.1 inputs, I ve bought an adaptor cable that does DisplayPort 1.4 to HDMI 2.1 at 8K resolution. So I need a video card that does DisplayPort 1.4 or HDMI 2.1 output. That doesn t mean that the card will work, but it could work. It s a pity that no-one has made a USB-C video controller that has a basic frame-buffer supporting 8K and the minimal GPU capabilities. The consensus of opinion is that no games will run well at 8K at this time so anyone using 8K resolution doesn t need GPU power unless it s for ML stuff. I m thinking of making a system that can be used as a ML server and X/Wayland server so a GPU with a decent amount of RAM and compute power would be good. I m not particularly interested in spending $1,500+ to get a GPU that can drive a $1,568 TV. I m looking into getting a RTX A2000 with 12G of RAM which should be adequate for ML experiments and can handle 8K@60Hz output. I ve ordered a DisplayPort to HDMI converter cable so if I get a DisplayPort card it will work. Software Support When I first got started with 4K monitors I had significant problems in adjusting the UI to be usable. The support for scaling software is much better now than it was then and 8K 65 has a lower DPI than 4K 32 . So I hope this won t be an issue. Progress So Far My first Hisense 8K TV stopped working properly. It would change to a mostly white screen after being used for some time. The screen would change in ways that correlate to changes in what should appear, but not in a way that was usable. It was just a different pattern of white blobs when I changed to a menu view not anything that allowed using it. I presume that this was the problem that drove a need for refurbishment as when I first got the TV it was still signed in to Google accounts for YouTube and to NetFlix. Best Buy Electrical was good about providing a quick replacement, they took away the old TV and delivered a new one on the same visit and it s now working well. I ve obtained a NVidia card that can allegedly do 8K output and a combination of cables that might be able to carry an 8K signal. Now I just need to get the NVidia drivers to not cause a kernel panic to get things to work.

10 December 2024

Russ Allbery: 2024 book haul

I haven't made one of these posts since... last year? Good lord. I've therefore already read and reviewed a lot of these books. Kemi Ashing-Giwa The Splinter in the Sky (sff)
Moniquill Blackgoose To Shape a Dragon's Breath (sff)
Ashley Herring Blake Delilah Green Doesn't Care (romance)
Ashley Herring Blake Astrid Parker Doesn't Fail (romance)
Ashley Herring Blake Iris Kelly Doesn't Date (romance)
Molly J. Bragg Scatter (sff)
Sarah Rees Breenan Long Live Evil (sff)
Michelle Browne And the Stars Will Sing (sff)
Steven Brust Lyorn (sff)
Miles Cameron Beyond the Fringe (sff)
Miles Cameron Deep Black (sff)
Haley Cass Those Who Wait (romance)
Sylvie Cathrall A Letter to the Luminous Deep (sff)
Ta-Nehisi Coates The Message (non-fiction)
Julie E. Czerneda To Each This World (sff)
Brigid Delaney Reasons Not to Worry (non-fiction)
Mar Delaney Moose Madness (sff)
Jerusalem Demsas On the Housing Crisis (non-fiction)
Michelle Diener Dark Horse (sff)
Michelle Diener Dark Deeds (sff)
Michelle Diener Dark Minds (sff)
Michelle Diener Dark Matters (sff)
Elaine Gallagher Unexploded Remnants (sff)
Bethany Jacobs These Burning Stars (sff)
Bethany Jacobs On Vicious Worlds (sff)
Micaiah Johnson Those Beyond the Wall (sff)
T. Kingfisher Paladin's Faith (sff)
T.J. Klune Somewhere Beyond the Sea (sff)
Mark Lawrence The Book That Wouldn't Burn (sff)
Mark Lawrence The Book That Broke the World (sff)
Mark Lawrence Overdue (sff)
Mark Lawrence Returns (sff collection)
Malinda Lo Last Night at the Telegraph Club (historical)
Jessie Mihalik Hunt the Stars (sff)
Samantha Mills The Wings Upon Her Back (sff)
Lyda Morehouse Welcome to Boy.net (sff)
Cal Newport Slow Productivity (non-fiction)
Naomi Novik Buried Deep and Other Stories (sff collection)
Claire O'Dell The Hound of Justice (sff)
Keanu Reeves & China Mi ville The Book of Elsewhere (sff)
Kit Rocha Beyond Temptation (sff)
Kit Rocha Beyond Jealousy (sff)
Kit Rocha Beyond Solitude (sff)
Kit Rocha Beyond Addiction (sff)
Kit Rocha Beyond Possession (sff)
Kit Rocha Beyond Innocence (sff)
Kit Rocha Beyond Ruin (sff)
Kit Rocha Beyond Ecstasy (sff)
Kit Rocha Beyond Surrender (sff)
Kit Rocha Consort of Fire (sff)
Geoff Ryman HIM (sff)
Melissa Scott Finders (sff)
Rob Wilkins Terry Pratchett: A Life with Footnotes (non-fiction)
Gabrielle Zevin Tomorrow, and Tomorrow, and Tomorrow (mainstream)
That's a lot of books, although I think I've already read maybe a third of them? Which is better than I usually do.

7 December 2024

Russ Allbery: Review: Dark Minds

Review: Dark Minds, by Michelle Diener
Series: Class 5 #3
Publisher: Eclipse
Copyright: 2016
ISBN: 0-6454658-5-2
Format: Kindle
Pages: 328
Dark Minds is the third book in the self-published Class 5 science-fiction romance series. It is a sequel to Dark Deeds and should not be read out of order, but as with the other books of the series, it follows new protagonists. Imogen, like another Earth woman before her, was kidnapped by a Class 5 for experimentation by the Tecran. She was subsequently transferred to a research facility and has been held in cages and secret military bases for over three months. As the story opens, she had been imprisoned in a Tecran transport for a couple of weeks when the transport is taken by the Krik who kill all of the Tecran crew. Next stop: another Class 5. That same Class 5 is where the Krik are taking Camlar Kalor and his team. Cam is a Grih investigator from the United Council, sent to look into reports of a second Earth woman rescued from a Garmman ship. (The series reader will recognize this as the plot of Dark Deeds.) Now he's trapped with the crews of a bunch of other random ships in the cargo hold of a Class 5 with Krik instead of Tecran roaming the halls, apparently at the behest of the ship's banned AI, and a mysterious third Earth woman already appears to be befriending it. Imogen is the woman Fiona saw signs of in Dark Deeds. She's had a rougher time than the protagonists of the previous two books in this series, and she's been dropped into a less stable situation. The Class 5 she's brought to at the start of the story is far more suspicious (with quite a lot of cause) and somewhat more hostile than the AIs we've encountered previously. The rest of the story formula is roughly the same, though: hunky Grih officer with a personality completely indistinguishable from the hunky Grih officers in the previous two books, an AI with a sketchy concept of morality that desperately needs an ally, the Grih obsession with singing, the eventual discovery of useful armor and weaponry that Imogen can use to surprise people, and more political maneuvering over the Sentient Beings Agreement. This entry in the series mostly abandons the Grih shock and horror at how badly the Earth women have been treated. This makes sense, given how dangerous Earth women have proven over the course of this series, and I like that Diener is changing the political dynamics as the story develops. I do sometimes miss that appalled anger of Dark Horse, but Dark Minds focuses more on the politics and corridor fighting of a tense multi-sided stand-off. I found the action more gripping in Dark Minds than in Dark Deeds, and I liked Imogen more as a character than Fiona. She doesn't have the delightfully calm competence of Rose from Dark Horse, but she's a bit more hardened, a bit more canny, and is better at taking control of situations. I also like that Diener avoids simplistically pairing Earth women off with Class 5s. The series plot is progressing faster than I had expected, and that gives this book a somewhat different shape than the previous ones. Cam is probably the least interesting of the men in this series so far and appears to exist solely to take up the man-shaped hole in the plot. This is not a great series for gender roles; thankfully, the romance is a small part of the plot and largely ignorable. The story is about the women and the AIs, and all of the women and most of the AIs of the previous books make an appearance. It's clear they're forming an alliance whether the Grih like it or not, and that part of the story was very satisfying. Up to this book, this series had been all feel-good happy endings. I will risk the small spoiler and warn that this is not true to the same degree here, so you may not want to read this one if you want something entirely fluffy, light, and positive (inasmuch as a series involving off-screen experimentation on humans can be fluffy, light, and positive). That caught me by surprise in a way I didn't entirely like, and I wish Diener had stuck with the entirely positive tone. Other than that, though, this was fun, light, readable entertainment. It's not going to win any literary awards, it's formulaic, the male protagonist comes from central casting, and the emphasis by paragraph break is still a bit grating in places, but I will probably pick up the next book when I'm in the mood for something light. Dark Minds is an improvement over book two, which bodes well for the rest of the series. Followed by Dark Matters. Rating: 7 out of 10

6 December 2024

B lint R czey: Firebuild 0.8.3 is out with 100+ fixes and experimental macOS support!

The new Firebuild release contains plenty of small fixes and a few notable improvements.

Experimental macOS support The most frequently asked question from people getting to know Firebuild was if it worked on their Mac and the answer sadly used to be that well, it did, but only in a Linux VM. This was far from what they were looking for. Linux and macOS have common UNIX roots, but porting Firebuild to macOS included bigger challenges, like ensuring that dyld(1), macOS s dynamic loader initializes the preloaded interceptor library early enough to catch all interesting calls, and avoid using anything that uses malloc() or thread local variables which are not yet set up then. Preloading libraries on Linux is really easy, running LD_PRELOAD=my_lib.so ls just works if the library exports the symbols to be interposed, while macOS employs multiple lines of defense to prevent applications from using unknown libraries. Firebuild s guide for making DYLD_INSERT_LIBRARIES honored on Macs can be helpful with other projects as well that rely on injecting libraries. Since GitHub s Arm64 macOS runners don t allow intercepting binaries with arm64e ABI yet, Firebuild s Apple Silicon tests are run at Bitrise, who are proud to be first to provide the latest Xcode stacks and were also quick to make the needed changes to their infrastructure to support Firebuild (thanks!  ). Firebuild on macOS can already accelerate simple projects and rebuild itself with Xcode. Since Xcode introduces a lot of nondeterminism to the build, Firebuild can t shine in acceleration with Xcode yet, but can provide nice reports to show which part of the build is the most time consuming and how each sub-command is called. If you would like to try Firebuild on macOS please compile it from the GitHub repository for now. Precompiled binaries will be distributed on the Mac App Store and via CI providers. Contact us to get notified when those channels become available.

Dealing with the Epochalypse Glibc s API provides many functions with time parameters and some of those functions are intercepted by Firebuild. Time parameters used to be passed as 32-bit values on 32-bit systems, preventing them to accurately represent timestamps after year 2038, which is known as the Y2038 problem or the Epochalypse. To deal with the problem glibc 2.34 started providing new function symbol variants with 64-bit time parameters, e.g clock_gettime64() in addition to clock_gettime(). The new 64-bit variants are used when compiling consumers of the API with _TIME_BITS=64 defined. Processes intercepted by Firebuild may have been compiled with or without _TIME_BITS=64, thus libfirebuild now provides both variants on affected systems running glibc >= 34 to work safely with binaries using 64-bit and 32-bit time representation. Many Linux distributions already stopped supporting 32-bit architectures, but Debian and Ubuntu still supports armhf, for example, where the Y2038 problem still applies. Both Debian and Ubuntu performed a transition rebuilding every library (and their reverse dependencies) with -D_FILE_OFFSET_BITS=64 set where the libraries exported symbols that changed when switching to 64-bit time representation (thanks to Steve Langasek for driving this!) . Thanks to the transition most programs are ready for 2038, but interposer libraries are trickier to fix and if you maintain one it might be a good idea to check if it works well both 32-bit and 64-bit libraries. Faketime, for example is not fixed yet, see #1064555.

Select passed through environment variables with regular expressions Firebuild filters out most of the environment variables set when starting a build to make the build more reproducible and achieve higher cache hit rate. Extra environment variables to pass through can be specified on the command line one by one, but with many similarly named variables this may become hard to maintain. With regular expressions this just became easier:
firebuild -o 'env_vars.pass_through += "MY_VARS_.*"' my_build_command
If you are not interested in acceleration just would like to explore what the build does by generating a report you can simply pass all variables:
firebuild -r -o 'env_vars.pass_through += ".*"' my_build_command

Other highlights from the 0.8.3 release
  • Fixed and nicer report in Chrome and other WebKit based browsers
  • Support GLibc 2.39 by intercepting pidfd_spawn() and pidfd_spawnp()
  • Even faster Rust build acceleration
For all the changes please check out the release page on GitHub!  (This post is also published on The Firebuild blog.)

1 December 2024

Russ Allbery: Review: Unexploded Remnants

Review: Unexploded Remnants, by Elaine Gallagher
Publisher: Tordotcom
Copyright: 2024
ISBN: 1-250-32522-6
Format: Kindle
Pages: 111
Unexploded Remnants is a science fiction adventure novella. The protagonist and world background would support an episodic series, but as of this writing it stands alone. It is Elaine Gallagher's first professional publication. Alice is the last survivor of Earth: an explorer, information trader, and occasional associate of the Archive. She scouts interesting places, looks for inconsistencies in the stories the galactic civilizations tell themselves, and pokes around ruins for treasure. As this story opens, she finds a supposedly broken computer core in the Alta Sidoie bazaar that is definitely not what the trader thinks it is. Very shortly thereafter, she's being hunted by a clan of dangerous Delosi while trying to decide what to do with a possibly malevolent AI with frightening intrusion abilities. This is one of those stories where all the individual pieces sounded great, but the way they were assembled didn't click for me. Unusually, I'm not entirely sure why. Often it's the characters, but I liked Alice well enough. The Lewis Carroll allusions were there but not overdone, her computer agent Bugs is a little too much of a Warner Brothers cartoon but still interesting, and the world building has plenty of interesting hooks. I certainly can't complain about the pacing: the plot moves briskly along to a somewhat predictable but still adequate conclusion. The writing is smooth and competent, and the world is memorable enough that I'm still thinking about it. And yet, I never connected with this story. I think it may be because both Alice and the tight third-person narrator tend towards breezy confidence and matter-of-fact descriptions. Alice does, at times, get scared or angry, but I never felt those emotions. They were just events that were described to me. There wasn't an emotional hook, a place where the character grabbed me, and so it felt like everything was happening at an odd remove. The advantage of this approach is that there are no overwrought emotional meltdowns or brooding angstful protagonists, just an adventure story about a competent and thoughtful character, but I think I wanted a bit more emotional involvement than I got. The world background is the best part and feels like it could be part of a larger series. The Milky Way is connected by an old, vast, and only partly understood network of teleportation portals, which had cut off Earth for unknown reasons and then just as mysteriously reactivated when Alice, then Andrew, drunkenly poked at a standing stone while muttering an old prayer in Gaelic. The Archive spent a year sorting out her intellectual diseases (capitalism was particularly alarming) and giving her a fresh start with a new body. Humanity subsequently destroyed itself in a paroxysm of reactionary violence, leaving Alice a free agent, one of a kind in a galaxy of dizzying variety and forgotten history. Gallagher makes great use of the weirdness of the portal network to create a Star Wars style of universe: the focus is more on the diversity of the planets and alien species than on a coherent unifying structure. The settings of this book are not prone to Planet of the Hats problems. They instead have the contrasts that one would get if one dropped portals near current or former Earth population centers and then took a random walk through them (or, in other words, what playing GeoGuessr on a world map feels like). I liked this effect, but I have to admit that it also added to that sense of sliding off the surface of the story. The place descriptions were great bits of atmosphere, but I never cared about them. There isn't enough emotional coherence to make them memorable. One of the more notable quirks of this story is the description of ideologies and prejudices as viral memes that can be cataloged, cured, and deployed like weapons. This is a theme of the world-building as well: this society, or at least the Archive-affiliated parts of it, classifies some patterns of thought as potentially dangerous but treatable contagious diseases. I'm not going to object too much to this as a bit of background and characterization in a fairly short novella stuffed with a lot of other world-building and plot, but there's was something about treating ethical systems like diseases that bugged me in much the same way that medicalization of neurodiversity bugs me. I think some people will find that sense of moral clarity relaxing and others will find it vaguely irritating, and I seem to have ended up in the second group. Overall, I would classify this as an interesting not-quite-success. It felt like a side story in a larger universe, like a story that would work better if I already knew Alice from other novels and had an established emotional connection with her. As is, I would not really recommend it, but there are enough good pieces here that I would be interested to see what Gallagher does next. Rating: 6 out of 10

28 November 2024

Bits from Debian: New Debian Developers and Maintainers (September and October 2024)

The following contributors got their Debian Developer accounts in the last two months: The following contributors were added as Debian Maintainers in the last two months: Congratulations!

4 November 2024

Ravi Dwivedi: Asante Kenya for a Good Time

In September of this year, I visited Kenya to attend the State of the Map conference. I spent six nights in the capital Nairobi, two nights in Mombasa, and one night on a train. I was very happy with the visa process being smooth and quick. Furthermore, I stayed at the Nairobi Transit Hotel with other attendees, with Ibtehal from Bangladesh as my roommate. One of the memorable moments was the time I spent at a local coffee shop nearby. We used to go there at midnight, despite the grating in the shops suggesting such adventures were unsafe. Fortunately, nothing bad happened, and we were rewarded with a fun time with the locals.
The coffee shop Ibtehal and me used to visit during the midnight
Grating at a chemist shop in Mombasa, Kenya
The country lies on the equator, which might give the impression of extremely hot temperatures. However, Nairobi was on the cooler side (10 25 degrees Celsius), and I found myself needing a hoodie, which I bought the next day. It also served as a nice souvenir, as it had an outline of the African map printed on it. I also bought a Safaricom SIM card for 100 shillings and recharged it with 1000 shillings for 8 GB internet with 5G speeds and 400 minutes talk time.

A visit to Nairobi s Historic Cricket Ground On this trip, I got a unique souvenir that can t be purchased from the market a cricket jersey worn in an ODI match by a player. The story goes as follows: I was roaming around the market with my friend Benson from Nairobi to buy a Kenyan cricket jersey for myself, but we couldn t find any. So, Benson had the idea of visiting the Nairobi Gymkhana Club, which used to be Kenya s main cricket ground. It has hosted some historic matches, including the 2003 World Cup match in which Kenya beat the mighty Sri Lankans and the record for the fastest ODI century by Shahid Afridi in just 37 balls in 1996. Although entry to the club was exclusively for members, I was warmly welcomed by the staff. Upon reaching the cricket ground, I met some Indian players who played in Kenyan leagues, as well as Lucas Oluoch and Dominic Wesonga, who have represented Kenya in ODIs. When I expressed interest in getting a jersey, Dominic agreed to send me pictures of his jersey. I liked his jersey and collected it from him. I gave him 2000 shillings, an amount suggested by those Indian players.
Me with players at the Nairobi Gymkhana Club
Cricket pitch at the Nairobi Gymkhana Club
A view of the cricket ground inside the Nairobi Gymkhana Club
Scoreboard at the Nairobi Gymkhana cricket ground

Giraffe Center in Nairobi Kenya is known for its safaris and has no shortage of national parks. In fact, Nairobi is the only capital in the world with a national park. I decided not to visit one, as most of them were expensive and offered multi-day tours, and I didn t want to spend that much time in the wildlife. Instead, I went to the Giraffe Center in Nairobi with Pragya and Rabina. The ticket cost 1500 Kenyan shillings (1000 Indian rupees). In Kenya, matatus - shared vans, usually decorated with portraits of famous people and play rap songs - are the most popular means of public transport. Reaching the Giraffe Center from our hotel required taking five matatus, which cost a total of 150 shillings, and a 2 km walk. The journey back was 90 shillings, suggesting that we didn t find the most efficient route to get there. At the Giraffe Center, we fed giraffes and took photos.
A matatu with a Notorious BIG portrait.
Inside the Giraffe Center

Train ride from Nairobi to Mombasa I took a train from Nairobi to Mombasa. The train is known as the SGR Train, where SGR refers to Standard Gauge Railway. The journey was around 500 km. M-Pesa was the only way to make payment for pre-booking the train ticket, and I didn t have an M-Pesa account. Pragya s friend Mary helped facilitate the payment. I booked a second-class ticket, which cost 1500 shillings (1000 Indian rupees). The train was scheduled to depart from Nairobi at 08:00 hours in the morning and arrive in Mombasa at 14:00 hours. The security check at the station required scanning our bags and having them sniffed by sniffer dogs. I also fell victim to a scam by a security official who offered to help me get my ticket printed, only to later ask me to get him some coffee, which I politely declined. Before boarding the train, I was treated to some stunning views at the Nairobi Terminus station. It was a seating train, but I wished it were a sleeper train, as I was sleep-deprived. The train was neat and clean, with good toilets. The train reached Mombasa on time at around 14:00 hours.
SGR train at Nairobi Terminus.
Interior of the SGR train

Arrival in Mombasa
Mombasa Terminus station.
Mombasa was a bit hotter than Nairobi, with temperatures reaching around 30 degrees Celsius. However, that s not too hot for me, as I am used to higher temperatures in India. I had booked a hostel in the Old Town and was searching for a hitchhike from the Mombasa Terminus station. After trying for more than half an hour, I took a matatu that dropped me 3 km from my hostel for 200 shillings (140 Indian rupees). I tried to hitchhike again but couldn t find a ride. I think I know why I couldn t get a ride in both the cases. In the first case, the Mombasa Terminus was in an isolated place, so most of the vehicles were taxis or matatus while any noncommercial cars were there to pick up friends and family. If the station were in the middle of the city, there would be many more car/truck drivers passing by, thus increasing my possibilities of getting a ride. In the second case, my hostel was at the end of the city, and nobody was going towards that side. In fact, many drivers told me they would love to give me a ride, but they were going in some other direction. Finally, I took a tuktuk for 70 shillings to reach my hostel, Tulia Backpackers. It was 11 USD (1400 shillings) for one night. The balcony gave a nice view of the Indian Ocean. The rooms had fans, but there was no air conditioning. Each bed also had mosquito nets. The place was walking distance of the famous Fort Jesus. Mombasa has had more Islamic influence compared to Nairobi and also has many Hindu temples.
The balcony at Tulia Backpackers Hostel had a nice view of the ocean.
A room inside the hostel with fans and mosquito nets on the beds

Visiting White Sandy Beaches and Getting a Hitchhike Visiting Nyali beach marked my first time ever at a white sand beach. It was like 10 km from the hostel. The next day, I visited Diani Beach, which was 30 km from the hostel. Going to Diani Beach required crossing a river, for which there s a free ferry service every few minutes, followed by taking a matatu to Ukunda and then a tuk-tuk. The journey gave me a glimpse of the beautiful countryside of Kenya.
Nyali beach is a white sand beach
This is the ferry service for crossing the river.
During my return from Diani Beach to the hostel, I was successful in hitchhiking. However, it was only a 4 km ride and not sufficient to reach Ukunda, so I tried to get another ride. When a truck stopped for me, I asked for a ride to Ukunda. Later, I learned that they were going in the same direction as me, so I got off within walking distance from my hostel. The ride was around 30 km. I also learned the difference between a truck ride and a matatu or car ride. For instance, matatus and cars are much faster and cooler due to air conditioning, while trucks tend to be warmer because they lack it. Further, the truck was stopped at many checkpoints by the police for inspections as it carried goods, which is not the case with matatus. Anyways, it was a nice experience, and I am grateful for the ride. I had a nice conversation with the truck drivers about Indian movies and my experiences in Kenya.
Diani beach is a popular beach in Kenya. It is a white sand beach.
Selfie with truck drivers who gave me the free ride

Back to Nairobi I took the SGR train from Mombasa back to Nairobi. This time I took the night train, which departs at 22:00 hours, reaching Nairobi at around 04:00 in the morning. I could not sleep comfortably since the train only had seater seats. I had booked the Zarita Hotel in Nairobi and had already confirmed if they allowed early morning check-in. Usually, hotels have a fixed checkout time, say 11:00 in the morning, and you are not allowed to stay beyond that regardless of the time you checked in. But this hotel checked me in for 24 hours. Here, I paid in US dollars, and the cost was 12 USD.

Almost Got Stuck in Kenya Two days before my scheduled flight from Nairobi back to India, I heard the news that the airports in Kenya were closed due to the strikes. Rabina and Pragya had their flight back to Nepal canceled that day, which left them stuck in Nairobi for two additional days. I called Sahil in India and found out during the conversation that the strike was called off in the evening. It was a big relief for me, and I was fortunate to be able to fly back to India without any changes to my plans.
Newspapers at a stand in Kenya covering news on the airport closure

Experience with locals I had no problems communicating with Kenyans, as everyone I met knew English to an extent that could easily surpass that of big cities in India. Additionally, I learned a few words from Kenya s most popular local language, Swahili, such as Asante, meaning thank you, Jambo for hello, and Karibu for welcome. Knowing a few words in the local language went a long way. I am not sure what s up with haggling in Kenya. It wasn t easy to bring the price of souvenirs down. I bought a fridge magnet for 200 shillings, which was the quoted price. On the other hand, it was much easier to bargain with taxis/tuktuks/motorbikes. I stayed at three hotels/hostels in Kenya. None of them had air conditioners. Two of the places were in Nairobi, and they didn t even have fans in the rooms, while the one in Mombasa had only fans. All of them had good Wi-Fi, except Tulia where the internet overall was a bit shaky. My experience with the hotel staff was great. For instance, we requested that the Nairobi Transit Hotel cancel the included breakfast in order to reduce the room costs, but later realized that it was not a good idea. The hotel allowed us to revert and even offered one of our missing breakfasts during dinner. The staff at Tulia Backpackers in Mombasa facilitated the ticket payment for my train from Mombasa to Nairobi. One of the staff members also gave me a lift to the place where I could catch a matatu to Nyali Beach. They even added an extra tea bag to my tea when I requested it to be stronger.

Food At the Nairobi Transit Hotel, a Spanish omelet with tea was served for breakfast. I noticed that Spanish omelette appeared on the menus of many restaurants, suggesting that it is popular in Kenya. This was my first time having this dish. The milk tea in Kenya, referred to by locals as white tea, is lighter than Indian tea (they don t put a lot of tea leaves).
Spanish Omelette served in breakfast at Nairobi Transit Hotel
I also sampled ugali with eggs. In Mombasa, I visited an Indian restaurant called New Chetna and had a buffet thali there twice.
Ugali with eggs.

Tips for Exchanging Money In Kenya, I exchanged my money at forex shops a couple of times. I received good exchange rates for bills larger than 50 USD. For instance, 1 USD on xe.com was 129 shillings, and I got 128.3 shillings per USD (a total of 12,830 shillings) for two 50 USD notes at an exchange in Nairobi, while 127 shillings, which was the highest rate at the banks. On the other hand, for smaller bills such as a one US dollar note, I would have got 125 shillings. A passport was the only document required for the exchange, and they also provided a receipt. A good piece of advice for travelers is to keep 50 USD or larger bills for exchanging into the local currency while saving the smaller US dollar bills for accommodation, as many hotels and hostels accept payment in US dollars (in addition to Kenyan shillings).

Missed Malindi and Lamu There were more places on my to-visit list in Kenya. But I simply didn t have time to cover them, as I don t like rushing through places, especially in a foreign country where there is a chance of me underestimating the amount of time it takes during transit. I would have liked to visit at least one of Kilifi, Watamu or Malindi beaches. Further, Lamu seemed like a unique place to visit as it has no cars or motorized transport; the only options for transport are boats and donkeys. That s it for now. Meet you in the next one :)

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