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862ms voice→voice, zero self-interruptions under echo, zero dependencies, MIT. Measured black-box ag...


The highest LoCoMo number we're aware of, at 5.0K context tokens, and it holds at 95.0% under Mem0's...


Five bugs in a browser OCR pipeline, every one of which produced a plausible success instead of an e...


Qwen3-Embedding-4B cosine task→group routing vs Claude Opus 5, Sonnet 4.6 and TypeSafe Jev on 138 to...


Fast Decisions in Agent Workflows: Laya vs TypeSafe Jev Originally published on JevLab....


A Columbia paper found LLMs edit already-optimal code 100% of the time. One prompt line halves it wi...


Laya returns typed decisions in 32.8 milliseconds from 421M parameters under Apache 2.0. Its zero-sh...


TypeSafe's Jev came out of stealth this month and every demo I see is the same: browsers, games, toy...


TypeSafe's Jev vs 5 flash LLMs, measured: 5-37x cheaper and 11-27x faster on 12-question workflows, ...
![Mercury 2.5 770 tok/s Benchmark: The Production Playbook [2026]](https://media2.dev.to/dynamic/image/width=1200,height=627,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fd12glno254pqi79akood.png)

Mercury 2.5 is clocking ~780 tok/s on Artificial Analysis. At that speed, decode stops being your bo...


DrivingBench reports that GPT-6 Astra completed a 134.7-metre closed-course task in a real Toyota Co...


Only 5.4% of frontier-model runs can complete a whole-repository migration without breaking somethin...


Scale’s Remote Labor Index reports GPT-6 Astra completing 20.83% of sampled freelance projects at a ...