When good pseudorandom numbers go bad(blog.djnavarro.net)

60 points by chewxy 1 year ago | 19 comments

Algorithms through the lens of symbolic pattern matching(symbolica.io)

57 points by adamnemecek 2 years ago | 8 comments

OpenAI Shoves a Data Journalist and Violates Federal Law(aarongreenspan.substack.com)

67 points by thinkcomp 2 years ago | 24 comments

Bitap: My favorite string matching algorithm(jo3-l.dev)

9 points by haeseong 1 month ago | 1 comments

GPT-5 Thinking in ChatGPT (a.k.a. Research Goblin) is shockingly good at search(simonw.substack.com)

39 points by klelatti 1 year ago | 38 comments

Synthesis is harder than analysis(surfingcomplexity.blog)

136 points by azhenley 3 months ago | 32 comments

Reasoning models don't always say what they think(anthropic.com)

369 points by meetpateltech 1 year ago | 246 comments

Anthropic research post on whether reasoning models' Chain-of-Thought faithfully reflects their actual reasoning, linking to the accompanying paper.

Coding is not solved(blog.alexewerlof.com)

458 points by firstSpeaker 28 days ago | 459 comments

Alex Ewerlöf's opinion essay arguing that AI and LLM coding tools have not solved software coding, drawing on his experience building AI systems.

Stealing Reasoning Traces from Proprietary LLM APIs(stolen-thoughts.com)

665 points by quantumgarbage 2 months ago | 295 comments

Project page for a research paper on extracting hidden reasoning traces from proprietary LLM APIs, by authors from MATS, ELLIS, Max Planck and Tübingen.

Prevent cognitive debt by manually retyping LLM-generated code(ankursethi.com)

502 points by mpweiher 2 months ago | 413 comments

A personal blog post arguing that developers should manually retype code generated by LLM coding assistants to keep understanding it and avoid cognitive debt.

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.

Cognitive load is what matters(github.com)

1392 points by nromiun 1 year ago | 488 comments

GitHub repository by zakirullin containing an essay arguing that reducing cognitive load is what matters most in software development, with translations.