Robot Foundation Models in 2026: 500,000 Hours of Human Video, 50-Step Action Chunks, and a Winning Score of 0.26
What vision-language-action models actually do, from π0's flow-matching action head to Gemini Robotics 2 and GR00T N1.7; who shipped humanoids (Unitree 5,500, AgiBot 15,000) and who didn't (Tesla, zero); the teleoperation behind the demos; and the benchmark numbers that say a home robot is not close. With a LeRobot dataset I loaded this morning.
14 minSep 8, 2026Agent Observability in 2026: The Spans Are Standard, the Standard Isn't Stable, and Nobody Reads the Logs
OpenTelemetry's GenAI conventions moved to their own repo in June and still carry the Development badge; every vendor from Datadog to Grafana ingests them anyway. I instrumented an agent loop with the official Python library, show the exact spans it emits, and go through what the 2026 eval papers say actually catches failures: pass^k, log inspection, and a step budget.
13 minSep 7, 2026LLM Inference in 2026: Prefill Is a Different Machine Now, and the KV Cache Has a Disk Tier
vLLM 0.28, SGLang on 400,000 GPUs, NVIDIA Dynamo 1.0 and llm-d in the CNCF all converged on the same architecture: split prefill from decode, route on cached prefixes, page the KV cache to CPU and SSD, and run MoE experts wide across a rack. What changed this year, with the papers, the flags, and the prices.
15 minSep 6, 2026Neuromorphic Computing in 2026: Real at Microwatts, Not for LLMs
Intel archived Lava and went quiet. BrainChip shipped production silicon. Sandia runs a billion neurons. An infrastructure engineer's honest read of where spiking hardware actually wins, with benchmark numbers and a runnable SNN.
12 min