Agentic AI news, research notes, and industry analysis.
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Anthropic shipped Claude Code Routines in research preview: saved Claude Code configurations that run autonomously on Anthropic-managed cloud infrastructure on a schedule, triggered by an API call, or fired by GitHub events. The pieces have been building toward this — long-horizon sessions, Managed Agents, the advisor tool — and cloud-scheduled unattended execution is the natural next step.
Read more →MegaTrain, a new paper from Notre Dame and Lehigh, flips the usual assumption about GPU training: instead of fitting parameters into GPU memory, it keeps everything in CPU RAM and treats the GPU as a transient compute engine. The result is full-precision training of 120B-parameter models on a single H200, 1.84× faster than DeepSpeed ZeRO-3 on 14B models, and 512K-context training on a single GH200.
Read more →Freestyle launched today with <50ms VM forking for AI coding agent workloads, built on bare metal they own because cloud margins didn't pencil out. It's a signal that the agent infrastructure layer is serious enough to warrant serious systems work.
Read more →MLPerf Inference v6.0 results show NVIDIA achieved a 2.77x throughput improvement on DeepSeek-R1 since the v5.1 results six months ago — on the same B200 hardware. The gains came entirely from software: disaggregated prefill/decode serving, kernel fusion, pipelined execution, and multi-token prediction. Token cost dropped to $0.30/M. It's a useful reminder that the current inference scaling curve has two axes, and software is doing more work than it gets credit for.
Read more →Kernel patch review automation and compact local training hardware show AI moving deeper into infrastructure and developer workflows.
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