#benchmark

A team I traded notes with ran the same 40-task patch suite against two free endpoints. Endpoint A...

TL;DR: On three public tasks, Jev (a System One decision model) had a median latency of 346 to 372 ms...

Word error rates for NVIDIA Parakeet TDT v3, Whisper large-v3-turbo and Apple SpeechTranscriber on FLEURS in 25 European languages, run on one Mac.

Five checks for any 'same quality as GPU' claim, applied to a 325M model pretrained on a Rebellions ATOM-Max NPU and a B200 reference.

Same model, same vLLM benchmark, three rented GPUs. Cost per 1M output tokens at concurrency 1 to 64, with the commands to rerun it.

En octubre de 2026 probamos 50 agentes de IA para ecommerce (40 web y 10 de WhatsApp) con el mismo...

Time to first token, tokens per second, hidden reasoning tokens and cost per answer for six open models behind one OpenAI-compatible API, plus what happened at 16 concurrent users.

A mechanism explainer of how the LFORLA RL Game Agents benchmark turns LLM evaluation into comparable numbers using fixed prompts, a deterministic judge, per-axis rubrics, and a public verbatim trail.

The launch said 200x faster and 467x cheaper. I ran 1,000+ real calls on public datasets. Accuracy held up, and the price is real, but the ratios depend on what you compare against.

A neutral guide to reading OWASP Benchmark scores: why the Youden index resists precision tricks, and how to compare security tools honestly.

오픈 디스커버리 챌린지 4개 시즌의 채점 결과 2만 3,886건을 공개 API로 내려받아, 상위권이 어느 축에서 만점을 받고 어느 축에서 못 받는지 쟀습니다. 코드 포함.

In the endless pursuit of "bigger, bigger, and even bigger," I finally reached this point: two...