Jev 1.14

Headlines · 2

1. 11h
   Google open-sources Harness², a self-improving agent harness

   Google Research has open-sourced Harness², a framework that recursively rewrites an agent's harness without changing model weights, under Apache 2.0 on GitHub with support for OpenCode and Codex. It combines task-level propose-probe-compose edits with a cross-task improvement library that stores evidence-backed lessons. Google reports gains with Gemini 3.5 Flash and GLM-5 on WorkBuddy-Bench, JobBench and LAB — for example, GLM-5 rose from 64.2 to 75.7 on WorkBuddy-Bench under OpenCode — while noting the project is research, not an officially supported product, and that extra recursion costs more test-time compute.

   r/LocalLLaMA · 🔥 32
2. 4d
   Liquid AI releases d1-ultra decision model

   Liquid AI announced d1-ultra, a multimodal decision model it says is built for harder real-world cases such as spotting a defect on a circuit board against its spec or checking a damage claim against a customer photo. The model takes text, images or both and returns probabilities for yes/no, choice and score questions in one forward pass without generating tokens. It is available on the Liquid API at $0.042 per million input tokens; Liquid AI said it would soon be available through Vercel and OpenRouter, and a Liquid AI post said it was now available on OpenRouter. Liquid AI says d1-ultra outperformed Jev 1.14 across all tasks in a comparison spanning 112 evaluations, and that it leads all other decision models on the Artificial Analysis Decision Index by at least 8 points. IT之家 reported that TypeSafe AI released the Jev 1.14 preview a day before Liquid AI announced d1-ultra, and that d1-ultra performed better than Jev 1.14 in eight task categories and better overall than competitors such as vLLM Semantic Router d3.

   Liquid AI Blog · 🔥 0

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