AI agents automate experimentation loops in research workflows

OpenAI details Pando, a Git-compatible backend built to handle the development volume Codex enables. The post is an engineering write-up on scaling Git at OpenAI.

NVIDIA Attribution correlates logs, metrics, telemetry and scheduler state into a structured diagnosis: outcome, root cause, affected nodes, symptoms and evidence trail. It runs in production across hundreds of thousands of GPUs, analyzing millions of workloads weekly.

A livestream shows six of Agibot's wheeled humanoid robots operating a convenience store continuously for 24 hours. The broadcast is hosted on X.

Pull request #29510 by am17an adds flash_attn_ext_rows to fix unified KV cache handling when running multiple sequences on CUDA. A LocalLLaMA poster calls it a "really nice speedup" for running multiple local agents.

Sequoia led the round, with Nvidia, Bessemer Venture Partners and Bain Capital Ventures participating. The 18-person startup, founded a year ago by three Stanford classmates, uses continual learning to retrain open source models on feedback so specialists can post-train them without research teams.

Matt Wolfe highlights an open-source world model he compares to Genie 4, positioning it as a free alternative. The video points viewers to futuretools.io for the tool listing and newsletter.

A "Mythos 5.5" label appeared in Anthropic's site code on Nov 1, and a "claude-fable-5-5" entry hit the LiteLLM catalog Oct 13 with specs copied from Fable 5.1. OpenAI's "gpt-6.2-astra" showed up in Codex usage data for some accounts the same day; Anthropic has announced nothing.