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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•6m 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•31m 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

Launching the Genesis Mission

https://www.whitehouse.gov/presidential-actions/2025/11/launching-the-genesis-mission/
31•oidar•2mo ago

Comments

jauntywundrkind•2mo ago
From the challenges outlined in Section 4, Identification of National Science and Technology Challenges:

  advanced manufacturing;
  biotechnology;
  critical materials;
  nuclear fission and fusion energy;
  quantum information science; and
  semiconductors and microelectronics.
I have no clue what AI is going to do for most of these sectors/challenges & to me the problem-spaces feel largely non-virtualizable. Massive training & hallucination systems aren't going to happen into great yields regularly, not in a way that justifies the cost.

One place I do think that virtual science can make a huge difference is the last one, semiconductors and microelectronics. IMO there's already enormously promising work, that just needs more funding. Maybe bigger clusters would help some, but mostly, this field needs more works like the incredibly successful OpenROAD work that DARPA begot in 2018 with the Intelligent Design of Electronic Assets (IDEA) program. https://www.darpa.mil/research/programs/intelligent-design-o... https://en.wikipedia.org/wiki/OpenROAD_Project

We should fund better AI powered chip synthesis tools, better open source chip design tools, more open source cpu design, and fund Silicon Foundry projects to build & test promising open source hardware cores. Some focus/personel/money here would go far far further IMO than a seemingly non-funded executive order to get the DoE to scrounge together some systems & command them to make an innovation or two.

TheAceOfHearts•2mo ago
Genuinely uncertain about these claims but I think it's worth engaging:

Doesn't the existence of AlphaFold suggest that there's potential AI to help with biotechnology? Also, one of the AlphaFold creators started a biotechnology startup.

And for fusion, couldn't we build AI models to explore better magnetic containment techniques? As I understand it, the fundamentals and science behind magnetic containment of fusion is pretty simple, but the execution and design of the reactor(?) is the challenging problem.

As for advanced manufacturing, I've seen some research where evolutionary algorithms are used to design a part under specific constraints. Part of that problem space seems like it might benefit from AI research.

ricksunny•2mo ago
"Section 1. Purpose. From the founding of our Republic, scientific discovery and technological innovation have driven American progress and prosperity. Today, America is in a race for global technology dominance in the development of artificial intelligence (AI), an important frontier of scientific discovery and economic growth. To that end, my Administration has taken a number of actions to win that race, including issuing multiple Executive Orders and implementing America’s AI Action Plan, which recognizes the need to invest in AI-enabled science to accelerate scientific advancement. In this pivotal moment, the challenges we face require a historic national effort, comparable in urgency and ambition to the Manhattan Project that was instrumental to our victory in World War II and was a critical basis for the foundation of the Department of Energy (DOE) and its national laboratories.

This order launches the “Genesis Mission” as a dedicated, coordinated national effort to unleash a new age of AI‑accelerated innovation and discovery that can solve the most challenging problems of this century. The Genesis Mission will build an integrated AI platform to harness Federal scientific datasets — the world’s largest collection of such datasets, developed over decades of Federal investments — to train scientific foundation models and create AI agents to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs. The Genesis Mission will bring together our Nation’s research and development resources — combining the efforts of brilliant American scientists, including those at our national laboratories, with pioneering American businesses; world-renowned universities; and existing research infrastructure, data repositories, production plants, and national security sites — to achieve dramatic acceleration in AI development and utilization. "