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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. 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Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
AGPL: The Moral AI License
Patrick Jackson · 2026-04-28 · via Hacker News - Newest: "AI"

I personally believe that if you are writing Open Source code using an ‘AI’, the morally correct license is the most viral copyleft license possible - AGPL.

(I know you’re judging the em-dash, but this article was fully written by me, a real human)

I used to license all my code as MIT, but with how large corporations have continued to take advantage of and abuse permissive licenses for their own gain I feel it is right to try to restrict their free usage of the code that I produce.

This extends to code that I write with the help of AI tools.

Modern frontier ‘AI’ has been trained on a corpus that includes pretty much everything they can get their grubby hands on. There are currently multiple lawsuits (NYT vs OpenAI, Authors Guild vs OpenAI, Getty Images vs Stability AI, GitHub Copilot litigation, Authors vs Anthropic) against the big labs about this.

Any code you have ever written and uploaded to the internet was surely found and used for training WITHOUT REGARD FOR ITS LICENSING. And for some reason, code coming out the other side of this has its licensing washed, and isn’t copyrightable at all.

This means that any code you have written, whether licensed as GPL, MIT, or FSL, doesn’t matter. They’ve trained on it, stripped away your license, and regurgitated the logic for their own profit.

My Opinion Link to heading

I think it should be acknowledged that these AIs require that full set of knowledge to be viable, but that any individual piece of training data is not worth very much at all.

With a lot of talk of putting people out of work, that means these companies are quite literally taking EVERYONE’s work, and then replacing EVERYONE’s job.

That’s fucking crazy.

I think we need to recognize that these things are functionally a product of all of humanities output, and thus they need to FUCKING PAY FOR IT.

I believe the only way out is for them to be taxed to the gills and the money should be used to fund a Universal Basic Income.

If they’re seriously arguing that their tech will replace all of humanities “white-collar” labor, they need to support the people that they have STOLEN from and are now screwing over.

OSS Licensing Link to heading

Given all of that, I don’t think the code coming out of these things should be made freely available for companies to profit off of. I think that, if the AI companies can wash licensing like this, we as OSS devs should force the output to be as virally shareable as possible.

The input came from all of humanity, so the output should be open to everyone too.

AGPL is the strongest copyleft available, that forces companies to either pay for an exception to the licensing or to release all their code too.

As the Dev in the middle of this system, the right thing to do here is to try to get companies to pay for it and use that money to fund OSS.

I think developers should maintain copyright control of their code through CLA’s, an unfortunate necessity, and then sell exceptions to companies for use of it. Profits from that should go to paying for the devs time and a percentage shifted back to upstream dependencies or general OSS initiatives.

And I think projects should publish how they allocate money to themselves and to others.

Money Where My Mouth is Link to heading

I personally make no money from OSS today, but I give a pretty decent amount. If that ratio were to flip, I would take at least 10% of my incoming and allocate it to sending upstream the the things I use.

Here is the list of OSS/coding adjacent projects that I give money to, including an estimate of the total.

Right now I am giving ~$600 a year to various projects. It’s not a lot, but it’s ~$600 more than most people contribute. I don’t have any income from my own projects.

I am also retired/unemployed on a relatively restricted budget, though TBF my spouse continues to work for now. Even when I was working, I worked at Microsoft/Google but my highest level was a Google L4 (L5 is ‘Senior’), which I only got to a few months before I fully stopped working.

So what I’m saying is if you are here reading this, and you work at a Big Tech company, or any Tech company paying a ridiculous salary, you have no fucking excuse to not help pay for the things that improve your career.

And if OpenAI can give every one of their employees a $1,000,000 bonus, I think they can afford to fund their entire dependency stacks.