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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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MSN GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs AI Code is Hollowing Out Open Source, and Maintainers are Looking the Other Way What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI AI is the boss at this retail store. What could go wrong? GitHub - Wuzu11517/agentic-proxy: Local proxy meant to help reduce With Drones, Geophysics and ArtificiaI Intelligence, Researchers Prepare to Do Battle Against Land Mines A Single Operator, Two AI Platforms, Nine Government Agencies: The Full Technical Report 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - inevolin/resume-cli: Hit Claude usage limits? Resume any AI coding session elsewhere. Switch tools at zero friction. GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. 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
The OpenSSL Library AI Policy
jlericson · 2026-06-23 · via Hacker News - Newest: "AI"

The OpenSSL Library has adopted an AI policy. To summarize:

  • Anyone who uses AI to provide a non-trivial portion of their contributions to the OpenSSL Library must:
    1. Sign an updated Contributor License Agreement (CLA) that includes the AI clauses.
    2. Declare any AI use in the commit message of each contribution. This is done via an Assisted-by trailer as explained in the policy.
  • People who do not use AI, who have already signed the old CLA, do not need to sign a new CLA.

The policy goes into greater detail about what constitutes “non-trivial” contributions and how to properly declare AI use.

Why are we implementing this policy and why now?

AI code assistants have been around for several years. Early on they were error-prone and veteran developers tended to avoid using the technology. In the last year or so the technology has made dramatic improvements. Notably, AI models have discovered many of the recent vulnerabilities that have been fixed in the OpenSSL Library. Engineers at the OpenSSL Corporation and OpenSSL Foundation have experimented with AI models to help with tedious tasks such as refactoring code.

In recent months we’ve also seen an increase in pull requests that seem to have been created using AI models, at least in part. This presented a problem with our Contributor License Agreement (CLA) which assumed:

  1. The contributor is the “author”.
  2. The contributor is able to grant the copyright and patent licenses set out in the CLA.
  3. The contributor can truthfully warrant that the code is original and does not infringe 3rd-party IP rights.

In most jurisdictions only a work created by a human author is copyrightable; work that is entirely AI-generated is generally not. Where a portion of a contribution isn’t protected by copyright, there is no copyright for the contributor to license — so rather than require ownership, the updated CLA has the contributor acknowledge that such material is not their owned IP and that the Foundation accepts it on that basis (new clause 8(c)). Separately, AI output may reproduce 3rd-party material from training data, which raises infringement risks regardless of whether the output itself is protectable.

What has been added to the CLAs?

The updated CLAs include two new clauses:

  1. Intellectual Property Ownership. You represent and warrant that: (a) You hold all rights necessary to grant the licenses in this Agreement in respect of Your Contribution, and Your Contribution, to the best of Your knowledge, will not give rise to any third-party intellectual property infringement claims against the Foundation or recipients of software distributed by the Foundation; (b) to the extent any portion of Your Contribution is protected by copyright, You are the author or owner of that portion, or are otherwise duly authorized to grant the licenses in this Agreement in respect of it; and (c) where any portion of Your Contribution was generated using generative artificial intelligence tools and is not protected by copyright, You do not represent that portion as owned intellectual property, and You understand that the Foundation accepts such material on that basis.

  2. If any part of Your Contribution was created with the assistance of generative artificial intelligence tools (including large language model-based tools), You represent that: (a) You have disclosed such use to the Project at the time of submission, in accordance with the Project’s contribution guidelines; (b) You have reviewed and understood the AI-generated output incorporated in the Contribution; (c) You have complied with the terms of use of any such tools, including any provisions relating to the ownership of outputs; and (d) to the best of Your knowledge, the Contribution does not reproduce or derive from any third-party material in a manner that would infringe third-party intellectual property rights.

The previous clause 8 concerning notification of any change in facts or circumstances has been renumbered to clause 10.

The full updated agreements can be read in their entirety: the Individual CLA (v1.1) and the Corporate CLA (v1.1).

Summary

Contributors to the OpenSSL Library who wish to use AI tools must familiarize themselves with the updated AI policy and sign the updated CLA. Note that the Corporate Contributor License Agreement (CCLA) has also been updated and will need to be completed for corporate contributors using AI.

If you have any questions about your situation, please ask on the OpenSSL Q&A Discussions.