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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•5m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•8m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
1•helloplanets•11m ago•0 comments

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

https://github.com/MShekow/package-version-check-mcp
1•mshekow•18m 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•20m ago•0 comments

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

https://wpfloat.netlify.app/
1•zizoulegrande•22m ago•0 comments

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

https://mealjar.app
1•melvinzammit•22m ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
1•basilikum•24m ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•25m ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•30m ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•31m ago•1 comments

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

https://github.com/microclaw/microclaw
1•everettjf•31m ago•2 comments

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

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•32m 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•34m ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•37m ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•40m ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•46m ago•0 comments

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

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•48m 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•53m ago•1 comments

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

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•55m ago•0 comments

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

https://www.youtube.com/watch?v=b9EbCb5A408
1•lifeisstillgood•55m 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/
1•bundie•58m ago•0 comments

When Albert Einstein Moved to Princeton

https://twitter.com/Math_files/status/2020017485815456224
1•keepamovin•59m ago•0 comments

Agents.md as a Dark Signal

https://joshmock.com/post/2026-agents-md-as-a-dark-signal/
2•birdculture•1h ago•0 comments

System time, clocks, and their syncing in macOS

https://eclecticlight.co/2025/05/21/system-time-clocks-and-their-syncing-in-macos/
1•fanf2•1h ago•0 comments

McCLIM and 7GUIs – Part 1: The Counter

https://turtleware.eu/posts/McCLIM-and-7GUIs---Part-1-The-Counter.html
2•ramenbytes•1h ago•0 comments

So whats the next word, then? Almost-no-math intro to transformer models

https://matthias-kainer.de/blog/posts/so-whats-the-next-word-then-/
1•oesimania•1h ago•0 comments

Ed Zitron: The Hater's Guide to Microsoft

https://bsky.app/profile/edzitron.com/post/3me7ibeym2c2n
2•vintagedave•1h ago•1 comments

UK infants ill after drinking contaminated baby formula of Nestle and Danone

https://www.bbc.com/news/articles/c931rxnwn3lo
1•__natty__•1h ago•0 comments

Show HN: Android-based audio player for seniors – Homer Audio Player

https://homeraudioplayer.app
3•cinusek•1h ago•2 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.