Monday, 3 August 2026 Sign in

KernelBench-Mega

Reported model scores on KernelBench-Mega, best parseable score first. Each row keeps its verbatim score, test conditions and provenance, and links to the source coverage it was extracted from. Benchmark profile →

Model	Score	Conditions	Provenance	Measured	Source
Fable	18.71X speedup	GPU kernel optimization over optimized PyTorch baselines	vendor-reported	—	coverage →
Claude Opus	14.4X speedup	GPU kernel optimization over optimized PyTorch baselines	independent	—	coverage →

Scores are only comparable within one benchmark under matching conditions — results under different test setups, and scores from other benchmarks, are not directly comparable.

The daily briefing

Every AI story that matters,
in your inbox by 8am.

TLDRocket reads 60+ sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.

TLDRocket 3 August 2026

OpenAI's preview of Astra, a model capable of solving decade-old mathematical problems using just $2,000 in compute, represents the most striking development yet in AI's shift from pattern-matching toward genuine discovery. But the week's real narrative runs deeper: as frontier models proliferate—DeepSeek's V4-Flash outperforming its flagship through better post-training, Alibaba's Qwen3.8-Max hitting 2.4 trillion parameters, Sakana AI's Namazu bringing Japanese-specialized reasoning to enterprise APIs—the axis of competition has moved decisively from raw capability to deployment, trust, and economic defensibility.

Read the full briefing →

Every AI story that matters, in your inbox by 8am.

Every AI story that matters,
in your inbox by 8am.