ccMarvin vs Headroom

Marvin watches every company you back, private or public, and delivers the signals that matter: exec changes, acquisitions, product releases, funding rounds. Straight to...

It also checks your driver for the subgroup bug that makes some in-browser LLMs produce garbage.

About ccMarvin

Marvin watches every company you back, private or public, and delivers the signals that matter: exec changes, acquisitions, product releases, funding rounds. Straight to your inbox. Research, summaries, planning help, and life analysis, delivered to your inbox. 2026-09-07, Teased the Grok 5 training run, "biggest cluster yet", and said the Cybercab line is running ahead of schedule. 2026-09-06, Essay follow-up: interpretability results are moving into production Claude models.

About Headroom

It also checks your driver for the subgroup bug that makes some in-browser LLMs produce garbage. One outbound request: ~0.4 MB of public model metadata to derive bytes per token, no run data attached. Projections are measured read bandwidth ÷ bytes touched per token, at empty context; derived manifests make bytes-per-token exact, estimates fall back to an honest band. Real engines land below the ceiling; the gap is engine overhead (see methodology). Runs the transformers.js WebGPU path on the exact model your ceiling is quoted for ( onnx-community/gemma-4-E2B-it-ONNX.