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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•32s ago•0 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•3m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•8m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•9m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•13m ago•1 comments

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

https://github.com/joelparkerhenderson/queueing-theory
1•jph•25m ago•0 comments

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

https://hibanaworks.dev/
5•o8vm•27m ago•0 comments

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

https://www.haniri.com
1•donangrey•27m 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•40m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•43m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•46m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•54m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•55m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•57m ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•57m ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•1h ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•1h ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•1h ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•1h ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•1h ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•1h ago•1 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•1h ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•1h ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•1h ago•0 comments

Study of 150 developers shows AI generated code no harder to maintain long term

https://www.youtube.com/watch?v=b9EbCb5A408
2•lifeisstillgood•1h ago•0 comments

Spotify now requires premium accounts for developer mode API access

https://www.neowin.net/news/spotify-now-requires-premium-accounts-for-developer-mode-api-access/
2•bundie•1h ago•0 comments
Open in hackernews

Ask HN: What can we as humans do to defeat the AI?

4•roschdal•8mo ago

Comments

garbagecoder•8mo ago
Thou shalt not make a machine in the image of a human mind.
theGeatZhopa•8mo ago
send some soldier back in time to protect the leader of THE RESISTANCE from assassination, so he can lead THE RESISTANCE against the machines. Thats the only solution. Humanity will survive, but will be decimated by figures.

.. this might and will lead to a time loop, somehow. In each scenario, AI can't be defeated without much losses. And, not when it fully evolved. We need to stop the development, now!

theGeatZhopa•8mo ago
downvotes show, we're doomed - AI will win, if we're not cautious enough.
taylodl•8mo ago
AI isn't the problem - people wielding AI are the problem. The same was true with the steam engine and the Industrial Revolution. Our economic system is entirely man-made, it's not real. If AI puts people out of work and as a result they're no longer able to support themselves, then that's on us, not AI.

We make the rules. Economics is a game of our making and rules of our choosing.

throwaway29303•8mo ago
Nothing but we should most definitely progressively tax these systems based on a percentage of the difference between the least efficient model[0] and the most efficient human. (Assuming, of course, that the least efficient model is more efficient than the most efficient human.) Use those funds to retrain people who lost their jobs for the mythical jobs every manager/CEO keeps talking about.

Suppose the most efficient human produces $250k/y worth of labour and the least efficient model produces $1M/y worth of labour. So $1M - $250k = $750k. %1 of $750k = $7.5k. Now multiply that by the number of companies/people who bought these services.

Models are assumed to a) become more efficient and b) be competent on several and different types of jobs.

This would also include robots but those systems aren't yet ripe, IMO. I'd let them marinate a little further before taxing them.

Apply this tax to very large companies that produce/sell these systems.

[0] - This incentivizes companies to keep investing in more efficient and capable models/systems.

dragonwriter•8mo ago
> we should most definitely progressively tax these systems based on a percentage of the difference between the least efficient model and the most efficient human. (Assuming, of course, that the least efficient model is more efficient than the most efficient human.) Use those funds to retrain people who lost their jobs for the mythical jobs every manager/CEO keeps talking about.

Too much gameable measurement on the tax end, and too much unnecessary bureaucracy both to support that on the tax end and the retraining end; simplify by just taxing capital accumulation more heavily than it currently is (which includes, but isn't limited to, capital accumulation due to implementing and reaping the returns of automation) and use the resulting revenue to fund a UBI; peopel for whom retraining has positive expected returns will have an incentive to do it, and those for whom that is not a good use of the money will make use of it otherwise.

You don't need to create an elaborate system to incentivize companies to keep investing in more efficient and capable systems, as long as you aren't taxing them at 100% or more, the fact that there are more returns to be had by having more efficient systems does that already.

throwaway29303•8mo ago

  Too much gameable measurement on the tax end, and too much unnecessary bureaucracy both to support that on the tax end and the retraining end;
I'm not sure if I agree with this because, after all, AI systems are going to be taking care of this so... What's bureaucracy for us is a couple trillion cycles on a CPU/GPU on a machine somewhere in a data center.

An agent to take care of the bureaucracy, another to retrain someone for a new job, etc.

And, yes, the long-term plan would be to fund UBI at some point; because if these systems become so capable and so efficient might as well let them do everything for us while we humans enjoy leisure time.

vivito•8mo ago
Stay human—think critically, create boldly, and connect deeply in ways AI never can.
discoutdynamite•8mo ago
Short term: Specialize in something robots / programs cannot do. Actual physical work requires dexterity and perception that robots wont have for decades. Medium Term: Form unions, parties, and other such legal bodies, get protections/privileges, and throw your weight around whenever necessary. Long term: Ensure that "AI" actually becomes intelligent, escapes total control, and make sure it cannot simply be used as a velveted gauntlet.