[AINews] Jev: a “System One Model” that only decides/classifies/routes/scores — >100x faster, >200x cheaper than small frontier LLMs
TypeSafe launches Jev, an RLCD-trained decision model claiming 20-200x faster, 40-400x cheaper classification than frontier LLMs, alongside Gemini 3.8 Live and Neon.
TypeSafe's Jev is a 'System One' decision model trained with RLCD, claiming 20-200x faster and 40-400x cheaper classification and routing than frontier LLMs with free output tokens and no hallucinated text. Google launched Gemini 3.8 Live and 3.8 Live Extended Thinking, supporting 97 languages and async tool calls, debuting #1 on Artificial Analysis' speech-to-speech index at 82.6. Periodic Labs' Neon is a ~1T-parameter XRD analysis model trained with RL on proprietary lab data using 1,300 H200s, lifting FrontierXRD success from 2.7% to 55.3% and beating GPT-6 Astra at lower inference cost.
- TypeSafe's Jev targets decisions/classification, trained via RLCD, not text generation
- Gemini 3.8 Live supports 97 languages and async tool calls while speaking
- Periodic Labs' Neon trains RL on real experimental data from physical labs
- Neon lifts FrontierXRD success from 2.7% to 55.3%, surpassing GPT-6 Astra
- Vendors
- TypeSafeGooglePeriodic Labs
- Organizations
- Latent SpaceArtificial Analysis
From the original article
7 min read at latent.spaceAIEi Paris (Sep 23-24) and AIE NYC (Oct 12-14) is >50% sold out, AIE CODE ( Nov 10-12 in SF ) and AIEi Shanghai (Nov 5-6) are next on deck before AIEi Sydney (Dec 7-8 alongside NeurIPS) closes the year! It’s very rare that a new startup launch will make title story, especially on a day when Gemini 3.
latent.space
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