Tencent releases Hy4 with vision and computer use; weights come later
Hy4 is API-only for now, scores 35 on Artificial Analysis, and trails Kimi K3.1 Pro by a wide margin.
Hy4 is API-only for now, scores 35 on Artificial Analysis, and trails Kimi K3.1 Pro by a wide margin.
Vercel says Typesafe AI’s Jev reached 35% of paid teams in two weeks, its fastest model adoption.
HiddenLayer shows TypeSafe AI's Jev decision model can still be steered by indirect prompt injection.
TypeSafe AI released Jev 1.14 with image support, a Box type, and a 262k context window.
Datadog tests whether prompt injection can steer TypeSafe’s Jev and bypass LangChain tool-risk gating.
AutoTrust released JEV-35B-NVFP4, a 4-bit quantization of its 35B decision model that cuts GPU memory by 65%.
AutoTrust released JEV-35B, an open-weights 35B Qwen3.5 decision model scoring 59.73 on Decision Index 0.3.
Strands Labs released Strands Decider 2B, a 2-billion-parameter open decision model fine-tuned from Qwen3.5-2B.
Musubi released PolicyLM-1.7B, an open-weights model for real-time content moderation under 50 milliseconds.
Cloudflare launched open-weight Clef and Clef-flash decision models so AI agents can act without a human in the loop.
AutoTrust released GEV-26B-Decide, an open 26B Gemma-4 decision model scoring 62.48 on Decision Index 0.2.1.
Cloudflare released Clef (27B) and Clef-flash (9B), Apache 2.0 decision models that return typed probabilities.
Cloudflare open-sources Clef and Clef-flash decision models under Apache 2.0, with vision input, 64k context, and a new RL fine-tuning platform.
OpenAI previewed a Decisions API resembling TypeSafe's Jev for fast, cheap classification of agent actions.
TypeSafe AI's Jev holds recommendation quality while latency grows more slowly than pointwise Qwen rerankers.
Jev matches strong recommendation rerankers with slower latency growth than pointwise Qwen models.
OpenAI's DevDay 2026 adds Codex Security Cloud repo scanning, Computer Use in the Agents API, a Decisions API, and an Ultrafast tier.
TypeSafe AI launched Jev, a closed decision model that returns typed, calibrated choices for agent loops.
Check Point shows TypeSafe AI's Jev decision model can be prompt-injected into flipping verdicts for about 50 cents.
Contrastive-LM released CLM-8B, an open model that scores agent actions up to 9× faster than Jev.
Tutorial covers TypeSafe AI's Jev, a non-generative System One model returning typed choices, scores, and calibrated probabilities.
Simon Willison released llm-typesafe 0.1a0, a plugin for TypeSafe AI's Jev model.
TypeSafe AI introduces Jev, a new LLM category that returns numeric decisions for yes/no questions, ratings, and confidence scores.
TypeSafe CEO Diogo Almeida explains Jev, a System One model trained with RLCD for calibrated production decisions.
TypeSafe AI launched Jev, a transformer-based 'System One' model API returning typed, calibrated decisions with probabilities, claiming 193x faster and 445x cheaper than LLMs.
Convai Innovations released Laya, an open-source Apache 2.0 family of non-autoregressive decision models claiming 6-8x faster inference than TypeSafe AI's Jev.
TypeSafe AI, founded by ex-OpenAI RLHF inventor Diogo Almeida, released Jev, a non-LLM transformer outputting calibrated probabilities for cheap software automation.
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