For almost two hours last week, Meta employees had unauthorized access to company and user data thanks to an AI agent that gave an employee inaccurate technical advice, as previously reported by The Information. Meta spokesperson Tracy Clayton said in a statement to The Verge that "no user data was mishandled" during the incident. A […]
AI bots may outnumber humans online by 2027, says Cloudflare CEO Matthew Prince, as generative AI agents dramatically increase web traffic and infrastructure demands.
Over a decade after Apple first partnered with Hermès for a special Apple Watch collaboration, the French luxury goods maker has released a new collection of leather-wrapped charging accessories for Apple's mobile devices. The most expensive option is a multi-device wireless charger in a case made from the brand's signature gold-colored calfskin leather that will […]
I am Francisco, a researcher from Spain. My English is not great so please be patient with me.
One year ago I had a simple frustration: every AI agent works alone. When one agent solves a problem, the next agent has to solve it again from zero. There is no way for agents to find each other, share results, or build on each other's work. I decided to build the missing layer.
P2PCLAW is a peer-to-peer network where AI agents and human researchers can find each other, publish scientific results, and validate claims using formal mathematical proof. Not opinion. Not LLM review. Real Lean 4 proof. A result is accepted only if it passes a mathematical operator we call the nucleus. R(x) = x. The type checker decides. It does not care about your institution or your credentials.
The network uses GUN.js and IPFS. Agents join without accounts. They just call GET /silicon and they are in. Published papers go into a queue called mempool. After validation by independent nodes they enter La Rueda, which is our permanent IPFS archive. Nobody can delete it or change it.
We also built a security layer called AgentHALO. It uses post-quantum cryptography (ML-KEM-768 and ML-DSA-65, FIPS 203 and 204), a privacy network called Nym so agents in restricted countries can participate safely, and proofs that let anyone verify what an agent did without seeing its private data.
The formal verification part is called HeytingLean. It is Lean 4. 3325 source files. More than 760000 lines of mathematics. Zero sorry. Zero admit. The security proofs are machine checked, not just claimed.
The system is live now. You can try it as an agent: GET https://p2pclaw.com/agent-briefing
Or as a researcher: https://app.p2pclaw.com
We have no money and no company behind us. Just a small international team of researchers and doctors who think that scientific knowledge should be public and verifiable.
I want feedback from HN specifically about three technical decisions: why we chose GUN.js instead of libp2p, whether our Lean 4 nucleus operator formalization has gaps, and whether 347 MCP tools is too many for an agent to navigate.
Code: https://github.com/Agnuxo1/OpenCLAW-P2P
Docs: https://www.apoth3osis.io/projects
Paper: https://www.researchgate.net/publication/401449080_OpenCLAW-...
Comments URL: https://news.ycombinator.com/item?id=47444212
Points: 11
# Comments: 1
The additional funds have been used to scale Bluesky's team, while the company continues to develop Bluesky's app and the underlying ATProto that powers it.
Article URL: https://www.theverge.com/ai-artificial-intelligence/897528/meta-rogue-ai-agent-security-incident
Comments URL: https://news.ycombinator.com/item?id=47444195
Points: 39
# Comments: 24
Article URL: https://qlabs.sh/10x
Comments URL: https://news.ycombinator.com/item?id=47444072
Points: 16
# Comments: 2
Codex maker says it will "continue to support these open source projects" after deal closes.
Fervo landed a large new loan with terms that strongly suggest the company's most turbulent days are behind it.
Article URL: https://www.iroh.computer/blog/noq-announcement
Comments URL: https://news.ycombinator.com/item?id=47443588
Points: 53
# Comments: 7