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For anyone else who's suffering, paste this in the console in devtools:

  document.getElementsByTagName('main')[0].style.margin = '0 auto';

There's always reader mode when an author tries to be cute about their layout

lmao - thank you!

Aw, Pierre shut down? Is there a write-up on that? (The code review startup idea.)

thank you, how do they live like this.

It's quite exciting how far we've come from the modern exposition of world models by David Ha and Jürgen Schmidhuber in 2018 https://worldmodels.github.io/


Here's a Dockerfile that will spin up postgres with pgvector and paradedb https://gist.github.com/cipherself/5260fea1e2631e9630081fb7d...

You can use pgvector for the vector lookup and paradedb for bm25.



I am trying to get the TLA+ tools to run completely in the browser https://github.com/tlaplus/tlaplus/tree/master/tlatools


I don't think this is bad, if you know Python then most of the code will be fine for you. I think you're probably referring to pm_reduce_collapse, but while it looks daunting at first, it really isn't when you consider the alternatives, I'd be curious on how you'd improve it short of creating a DSL.


One anecdote in the same vein, a couple of months ago, I wanted to parse systemd-networkd INI files in Python and the python built-in ConfigParser [0] and pytest's iniconfig parser [1] couldn't handle multiple sections with the same name so I ended up writing 2 parsers, one using a ParserCombinator library and one by hand and ended up using the latter given it was much simpler to understand and I didn't have to introduce an extra dependency.

Admittedly, INI is quite a simple format, hence I mention this as an anecdote.

[0] https://docs.python.org/3/library/configparser.html

[1] https://github.com/pytest-dev/iniconfig


As a project gets larger the cost of owning a dependency directly begins to outweigh the impedance mismatch between 3rd party software & software customized to your project.

I've got 10 full time senior engineers on a project heading in to its 15th year. We rewrite even extremely low level code like std::vector or malloc to make sure it matches our requirements.

UNIX was written by a couple of dudes.


That’s because Python is a bad language for writing parser combinators and parsers based on them. Try Haskell.


I have written parsers using parser combinators in Haskell and Clojure. I find that ML-like (Haskell, OCaml, StandardML) languages generally are great at writing parsers, even hand-written ones in it is a superior experience.

In this case, this was a project at $EMPLOYER in an existing codebase with colleagues who have never seen Haskell code, using Haskell would've been a major error in judgement.


I agree!

Haskell is a great language. It can even be a great language for beginners, especially if there's some senior help on hand.

But it's a terrible language to foist upon an unsuspecting and even unwilling victim.


I have used systemd services before to do this to run an application, I had a user created specifically for the application, and I defined the capabilities the application needed via CapabilityBoundingSet and AmbientCapabilities [0] and I used a lot of stuff from [1] to restrict the application e.g. the sandboxing facilities, restricting the allowed syscalls [2], ...etc. systemd also comes with a useful command systemd analyze security [3]

[0] https://www.freedesktop.org/software/systemd/man/latest/syst...

[1] https://www.freedesktop.org/software/systemd/man/latest/syst...

[2] https://www.freedesktop.org/software/systemd/man/latest/syst...

[3] https://www.freedesktop.org/software/systemd/man/latest/syst...


Have you looked into using DynamicUser [0] with {Cache, Logs, State}Directory [1]?

[0] https://www.freedesktop.org/software/systemd/man/latest/syst...

[1] https://www.freedesktop.org/software/systemd/man/latest/syst...


That was a great book, I wonder what the 2025 equivalent of it is...


Prompting Inferred Intelligence: from ChatGPT to Claude


12 (13?) years ago I had also written a Naïve Bayes classifier in Perl https://github.com/cipherself/NaiveBayes_perl

IIRC, next thing on my TODO list was to add vectorization. Also (like OP) it uses log probabilities to avoid floating-point underflow.


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