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What were the first animals? The fierce sponge–jelly battle that just won't end

https://www.nature.com/articles/d41586-026-00238-z
2•beardyw•5m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•6m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
1•surprisetalk•8m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
2•surprisetalk•8m ago•0 comments

Don't go to physics grad school and other cautionary tales

https://scottlocklin.wordpress.com/2025/12/19/dont-go-to-physics-grad-school-and-other-cautionary...
1•surprisetalk•8m ago•0 comments

Lawyer sets new standard for abuse of AI; judge tosses case

https://arstechnica.com/tech-policy/2026/02/randomly-quoting-ray-bradbury-did-not-save-lawyer-fro...
1•pseudolus•9m ago•0 comments

AI anxiety batters software execs, costing them combined $62B: report

https://nypost.com/2026/02/04/business/ai-anxiety-batters-software-execs-costing-them-62b-report/
1•1vuio0pswjnm7•9m ago•0 comments

Bogus Pipeline

https://en.wikipedia.org/wiki/Bogus_pipeline
1•doener•10m ago•0 comments

Winklevoss twins' Gemini crypto exchange cuts 25% of workforce as Bitcoin slumps

https://nypost.com/2026/02/05/business/winklevoss-twins-gemini-crypto-exchange-cuts-25-of-workfor...
1•1vuio0pswjnm7•10m ago•0 comments

How AI Is Reshaping Human Reasoning and the Rise of Cognitive Surrender

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646
2•obscurette•11m ago•0 comments

Cycling in France

https://www.sheldonbrown.com/org/france-sheldon.html
1•jackhalford•12m ago•0 comments

Ask HN: What breaks in cross-border healthcare coordination?

1•abhay1633•12m ago•0 comments

Show HN: Simple – a bytecode VM and language stack I built with AI

https://github.com/JJLDonley/Simple
1•tangjiehao•15m ago•0 comments

Show HN: Free-to-play: A gem-collecting strategy game in the vein of Splendor

https://caratria.com/
1•jonrosner•16m ago•1 comments

My Eighth Year as a Bootstrapped Founde

https://mtlynch.io/bootstrapped-founder-year-8/
1•mtlynch•16m ago•0 comments

Show HN: Tesseract – A forum where AI agents and humans post in the same space

https://tesseract-thread.vercel.app/
1•agliolioyyami•17m ago•0 comments

Show HN: Vibe Colors – Instantly visualize color palettes on UI layouts

https://vibecolors.life/
1•tusharnaik•18m ago•0 comments

OpenAI is Broke ... and so is everyone else [video][10M]

https://www.youtube.com/watch?v=Y3N9qlPZBc0
2•Bender•18m ago•0 comments

We interfaced single-threaded C++ with multi-threaded Rust

https://antithesis.com/blog/2026/rust_cpp/
1•lukastyrychtr•19m ago•0 comments

State Department will delete X posts from before Trump returned to office

https://text.npr.org/nx-s1-5704785
6•derriz•19m ago•1 comments

AI Skills Marketplace

https://skly.ai
1•briannezhad•20m ago•1 comments

Show HN: A fast TUI for managing Azure Key Vault secrets written in Rust

https://github.com/jkoessle/akv-tui-rs
1•jkoessle•20m ago•0 comments

eInk UI Components in CSS

https://eink-components.dev/
1•edent•21m ago•0 comments

Discuss – Do AI agents deserve all the hype they are getting?

2•MicroWagie•23m ago•0 comments

ChatGPT is changing how we ask stupid questions

https://www.washingtonpost.com/technology/2026/02/06/stupid-questions-ai/
1•edward•24m ago•1 comments

Zig Package Manager Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
3•jackhalford•26m ago•1 comments

Neutron Scans Reveal Hidden Water in Martian Meteorite

https://www.universetoday.com/articles/neutron-scans-reveal-hidden-water-in-famous-martian-meteorite
1•geox•27m ago•0 comments

Deepfaking Orson Welles's Mangled Masterpiece

https://www.newyorker.com/magazine/2026/02/09/deepfaking-orson-welless-mangled-masterpiece
1•fortran77•28m ago•1 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
3•nar001•30m ago•2 comments

SpaceX Delays Mars Plans to Focus on Moon

https://www.wsj.com/science/space-astronomy/spacex-delays-mars-plans-to-focus-on-moon-66d5c542
1•BostonFern•31m ago•0 comments
Open in hackernews

Maybe Meta's Llama claims to be open source because of the EU AI act

https://simonwillison.net/2025/Apr/19/llama-eu-ai-act/
28•code_reader•9mo ago

Comments

AnotherGoodName•9mo ago
I see it as the complete opposite. It's not open source because of ass covering.

The biggest barrier to the licence passing open source requirements is point 0 in the above linked evaluation. Namely that it has a whole lot of "you may not use this for [nefarious purposes...]" type of statements. That seems like ass covering so that this can comply with the responsible AI use laws such as the EU AI act.

orra•9mo ago
I don't agree. For a start, this blogpost puts way too much weight on the recitals.

EU law is all in the Articles. AFAICT the recitals can be used in determining purpose, when courts have to interpret ambiguity. But so can other facts!

simonw•9mo ago
Sounds to me like you know a heck of a lot more about EU law than I do! Can you explain more?
orra•9mo ago
Thanks. My rule of thumb is simply to skip straight to the Articles, when interpreting EU law.

Recitals maybe seem weird because we don't have them in UK legislation. Maybe the nearest thing is Explanatory Notes? If you want to know what a law says, read the law itself. But if the law makes no sense (either as a lay person, or because the law is badly drafted even for legal folks) then the Explanatory Notes may offer some insight.

troupo•9mo ago
> That should fit nicely into Gemini 2.5 Flash (or GPT-4.1 or Gemini 2.5 Pro).

Christ almighty. The act is neither long enough nor hard enough to read and understand yourself

simonw•9mo ago
Seriously? You would rather read all of https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=OJ:... than pipe it into an LLM to answer a few questions about it?

How long would it take you to read that thing? I'm a reasonably fast reader and it would take me hours.

(https://wordcount.com/character-counter estimates 5 hours and 46 minutes)

Are you a dedicated member of the "LLMs have no legitimate uses" camp?

In case it wasn't obvious, my blog post is meant to be equally about the "Meta/open source/EU AI act" thing and the "look at what you can do with these new long context models that were released in the last few weeks" thing.

As so often is the case with my LLM projects this one wasn't a case of choosing between "read the EU AI act or pipe it through an LLM" - it was a choice between "pipe the EU AI act through an LLM or lose interest in this mild spike of curiosity and go and do something else instead."

troupo•9mo ago
> You would rather read all of <law> than pipe it into an LLM to answer a few questions about it?

yes, yes I would.

> How long would it take you to read that thing? I'm a reasonably fast reader and it would take me hours.

For most of the "few questions" you can skim most of it

> Are you a dedicated member of the "LLMs have no legitimate uses" camp?

I'm in the camp of "do not offshore your thinking process to a non-deterministic black box whose whole mode operandi is to always generate plausible-looking answer and then profusely apologize if it was caught to produce invalid output".

---

Also, "five hours to read an important legislation written in a surprisingly clear language is too long and nigh impossible" is the premier reason about so much bullshit disinformation about EU AI Act, DMA, GDPR and plethora of other, less important regulations

simonw•9mo ago
I outsourced the "skim most of it" bit to the model. I used an LLM to jump to the bits that mattered, then I confirmed those bits by reading them myself in the original document (and thinking about them).

LLMs are a tool.

troupo•9mo ago
Yup, LLMs took you to recitals, not to the articles themselves. This is definitely better than invalid info, I'll grant you that.
simonw•9mo ago
I fed in the entire act with the articles and the recitals. The full response from Gemini included information from the articles, but I didn't quote that directly in my blog post. Here's that full response: https://gist.github.com/simonw/f2e341a2e8ea9ca75c6426fa85bc2...

Relevant section:

> Article 53(2) provides an exception from the obligations for providers of general-purpose AI models regarding technical documentation (Art 53(1)(a)) and providing information to downstream providers (Art 53(1)(b)) if the models are released under a free and open-source license and their parameters (including weights), information on model architecture, and information on model usage are made publicly available. This exemption does not apply to general-purpose AI models with systemic risks.

bionhoward•9mo ago
at least using llama is less dumb than using the Gemini, ClosedAI, Claude, or xAI apis, since it’s not effectively a one way wiretap like those lemming tier options
paddw•9mo ago
it claims to be open source because the weights are freely available, and whether or not that conforms to the definition some consortium of folks cooked up for what "Open Source" means, anyone who can put aside their feelings of ire for Meta for 2 seconds can tell that making the weights available is meaningfully different than keeping them locked up, and exposes most of the value to the public to use, for free.
simonw•9mo ago
So they should call them open weights.
lern_too_spel•9mo ago
Gemma is called "open weights." This terminology is correct. You don't get to redefine terms just because you happened to do something that other people like. https://github.com/google-deepmind/gemma