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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 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
GitHub joins coalition advocating for fixes to California...
Natalie Guevara · 2026-06-24 · via Hacker News - Newest: "AI"

GitHub has joined an open source coalition of Black Forest Labs, Hugging Face, and Mozilla Corporation calling for targeted amendments to California’s AI Transparency Act (SB 942, as proposed to be amended in SB 1000). Read the full letter here.

At issue is a narrow but important problem for developers: as currently drafted, the bill’s license revocation provisions conflict with how open source licenses work in practice. Open source licenses are designed to be perpetual and irrevocable, which is what allows developers to reliably build on, reuse, and share code across projects and organizations.

The proposed language would require developers to revoke licenses if downstream users fail to meet certain obligations. That approach is incompatible with widely used open source licenses, and it could introduce uncertainty across the software supply chain—particularly for collaborative and community-driven projects.

The coalition’s letter explains that this requirement is not necessary to achieve the bill’s goals. Developers who modify and deploy AI systems are already directly covered by the law, and enforcement mechanisms remain in place. At the same time, there is a workable alternative: aligning with the EU’s approach in the AI Act Transparency Code of Practice, which recognizes the distinct nature of the open source ecosystem and acknowledges that notifying downstream users of best practices in documentation is sufficient.

GitHub supports these amendments because they preserve the bill’s transparency objectives while maintaining compatibility with open source development. Getting this balance right is critical to ensuring that California continues to support both AI accountability and open, collaborative innovation.

Call to action

We encourage you to review the letter and share your perspective with policymakers. Clear, technically grounded feedback that includes open source developers and civil society can help ensure that AI transparency requirements work in practice without compromising the open source ecosystem that underpins AI innovation.

PDF of the letter sent to Senator Becker.
Click to read the full letter.

Written by

Margaret Tucker

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