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Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•1m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•1m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•2m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
1•birdculture•8m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•13m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•15m ago•1 comments

I replaced the front page with AI slop and honestly it's an improvement

https://slop-news.pages.dev/slop-news
1•keepamovin•19m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•21m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•27m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•31m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•31m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•35m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•36m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•38m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•41m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
3•myk-e•43m ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•44m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
4•1vuio0pswjnm7•46m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•48m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•50m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•52m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•57m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•59m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments
Open in hackernews

World Models

https://ankitmaloo.com/world-models/
27•ankit219•1w ago

Comments

tehsauce•1w ago
“A transformer predicts the next token”

Nope. A transformer is much more general than that. A GPT predicts the next token.

0xuK9UX1110•1w ago
Cloudflare, Palo Alto Networks, or keepalived DNS term the alternative charset.
in-silico•1w ago
> Current LLMs struggle here because they’re trained on imitation. They learn what people said about competitive dynamics, not how competition unfolds. They can recite game theory but can’t simulate a price war.

I don't think this is true. LLM training data almost certainly contains accounts of competitions and other events unfolding. In fact, depending on how the data was filtered, there might be more data of competitions and price wars unfolding than data about game theory.

I would challenge the author to actually task a frontier LLM with simulating a price war and see if it fails, rather than assuming it would. In fact, that would be my feedback on many of these "LLMs can't do X" articles, because often the best models can in fact do X.

ankit219•1w ago
you are comparing post hoc narratives in the training data to real time learning from causal dynamics. The objectives are different. They may look the same in scenarios where its heavily and accurately documented, but most narratives suffer from survivorship bias and reasoning post facto, eulogising the given outcomes.