OpenAI Is Building Its Own GitHub to Ditch Microsoft. Can It Steal 100M Devs? The project reportedly kicked off after OpenAI engineers became increasingly frustrated by persistent GitHub outages. These disruptions are tied to GitHub's massive, multi-year migration of its legacy infrastructure to Microsoft Azure, a process the CTO admitted could take another two years.
The relationship between Microsoft and OpenAI is arguably the strangest in tech history.
Microsoft is bankrolling a "national champion" that is now actively building a product to displace GitHub, the platform where over 100 million developers store their code.If OpenAI can convince devs that they don't just need a place to store code, but an AI-native environment to generate and manage it via Codex, Microsoft’s $7.5 billion acquisition of GitHub could look like a relic of the "pre-agentic" era.
While the tool presents significant risks, its community views it as a necessary challenge to the "walled gardens" of major tech labs. The event combined high-level technical strategy with a celebratory atmosphere. Inside the world of the "Claw": Grassroots Crusade: Devotees view OpenClaw as a necessary "escape hatch" from an AI industry currently controlled by a handful of leading labs.
Organizers called the moment a "watershed," stating that the doors to AI development were now "busted down" for the public. Despite the modest budget, the event attracted over 1,300 sign-ups, indicating strong demand for transparent, non-corporate AI tools. As the tour moves on to cities like Tel Aviv, Tokyo, and Madrid, the OpenClaw movement continues to position itself as the unpredictable, lobster-loving underdog of the frontier AI race. Claude 4.6 Digs Up 22 Firefox Security Flaws In 2 Weeks Anthropic revealed that Claude Opus 4.6 spent two weeks analyzing the Firefox codebase alongside Mozilla’s security team.
The AI model successfully identified 22 vulnerabilities, 14 of which were rated as high-severity. These quick findings are significant because Firefox is a mature, open-source project with decades of security audits. The AI-driven security audit: Immediate Discovery: Claude took only 20 minutes to flag its first security flaw after being granted access to the codebase.
Impact on Patches: The 14 high-severity flaws identified by the AI accounted for nearly 20 percent of Firefox’s most serious security patches for the entire year.
Anthropic noted that while Claude is currently better at defense than offense, the gap between finding and weaponizing exploits is expected to close quickly. This suggests an urgent need for companies to use AI-driven security tools to lock down codebases before malicious actors do the same.
This project strips down the nanochat LLM training core to a single-GPU, one-file version of roughly 630 lines of code.
Try this yourself: To start your own autonomous research org, clone the repo and install dependencies using uv. Run prepare.py to set up your data, then point a coding agent (like Claude or Codex) at program.md to begin the iterative loop.
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