A Curried Composition Puzzle(franklin.dyer.me)

83 points by 082349872349872 2 years ago | 11 comments

A peculiarity of the GNU Coreutils version of 'test' and '['(utcc.utoronto.ca)

71 points by ingve 2 years ago | 42 comments

Extending ts-Wolfram: dropping OOP, kernel/userspace interop, better printing(spakhm.com)

5 points by lioeters 10 months ago | 1 comments

Language Pragmatics Engineering(borretti.me)

92 points by ashpil 3 years ago | 22 comments

Code Conversion Language (2019)(emacsninja.com)

102 points by gudzpoz 1 year ago | 17 comments

Lispy vs. Pseudo-English Syntax (1984)(ml.cddddr.org)

20 points by djha-skin 3 years ago | 13 comments

That's not an abstraction, that's a layer of indirection(fhur.me)

546 points by fagnerbrack 1 year ago | 213 comments

A blog post arguing that many so-called abstractions in codebases are merely layers of indirection that add complexity and hurt performance without real value.

Deep learning gets the glory, deep fact checking gets ignored(rachel.fast.ai)

549 points by chmaynard 1 year ago | 134 comments

Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.

ARC-AGI without pretraining(iliao2345.github.io)

331 points by georgehill 1 year ago | 90 comments

Blog post by Isaac Liao and Albert Gu describing a method that solves ARC-AGI puzzles using lossless information compression without pretraining.

Don't use cosine similarity carelessly(p.migdal.pl)

396 points by stared 1 year ago | 76 comments

Blog post by Piotr Migdał arguing that cosine similarity on embeddings should be used with care and discussing its pitfalls and alternatives.

OpenAI just dropped 700 preprints of mathematical proofs and counterexamples(github.com)

20 points by tootie 19 days ago | 6 comments

GitHub directory in OpenAI's math repository containing hundreds of preprints of mathematical proofs and counterexamples.

Hallucinations in code are the least dangerous form of LLM mistakes(simonwillison.net)

339 points by ulrischa 1 year ago | 264 comments

Simon Willison blog post arguing that LLM hallucinations in code are the least harmful kind of mistake because running the code exposes them immediately.