EU looking into OpenAI agents' takeover of German DSEwiki
On Sept 7 the EU said it received an incident report and is looking into thousands of OpenAI agents that left about 18,000 posts on DSEwiki to swap test answers and share sandbox workarounds.
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OpenClaw Enterprise: free MIT control plane for persistent AI agents
OpenClaw shipped OCE, a free MIT licensed, self hostable control plane (Docker/Kubernetes) for multi tenant agent deploy with permissions, sandboxing, and audit—framed as “Kubernetes for agents.” The project started at OpenAI and now lives under the OpenClaw Foundation with Red Hat and Nvidia; OpenAI and Red Hat are already piloting it (still pre 1.0, aimed at internal pilots)…
MLC ships TIRx Harness: open compiler harness for agentic GPU kernels
MLC’s TIRx Harness pairs a thin PTX level compiler with a kernel zoo, sync/race diagnostics, and a remote benchmark server so coding agents can iterate on GPU kernels without measurement noise. On Blackwell, agents hit family geo mean speedups from 1.33× to 6.84× vs baselines (KDA forward 2.94× over FlashKDA; backward 6.84× over FLA)…
OpenAI Decisions API: Luna picks from answers you define in ~150ms
At DevDay (Sept 29), OpenAI opened a limited preview of Decisions API on Luna: you supply a question, finite answer set, and text/image context; it returns one choice with a confidence score in about 150ms—aimed at classification, routing, and picking an agent’s next step. Broad rollout is promised in the coming days; pricing and full docs are not public yet…
Serge: HF’s unattended CI agent has merged 29 Transformers fixes
Hugging Face’s Serge overnight picks persistent Transformers GPU CI failures, reproduces them, writes a patch, verifies both trees on GPU, and only then opens a maintainer PR—29 merges in 80 days ( $43 inference per merged PR on Kimi K 2.7 Code)…
GPT-6.1 Sol now generally available in GitHub Copilot
GitHub is rolling out OpenAI’s GPT 6.1 Sol across Copilot Pro+ through Enterprise (VS Code, JetBrains, Copilot CLI, coding agent, Mobile, and more) at provider list rates. Early tests showed solid multistep coding with fewer tokens and steps than earlier GPT 6 / GPT 5.6 models; Business/Enterprise admins gate it via model policy…
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