not much happened today

**Prime Intellect** released **verifiers v1**, a redesigned environment stack for **agentic reinforcement learning** and evaluations, improving efficiency by storing rollout traces as **message DAGs** to reduce complexity from **O(n²)** to **O(n)**. This enables practical long-horizon multimodal rollouts, demonstrated with a **100B reasoning model** running **40-turn SWE agent tasks** on **6 H200 nodes** in under 2 days. The ecosystem support includes **vLLM** integration to avoid tokenization drift. Discussions highlight that **harnesses** are becoming critical as the product surface for coding agents, with **task-specialized harnesses** favored over generic wrappers. Benchmarks are shifting focus from token price to **cost per task**, with models like **Terra Max**, **Fable 5 Max**, and **Opus 4.8** compared on efficiency and cost. Real-world agent benchmarks show **GPT-5.6 Sol** ranking #2 and **Grok-4.5** jumping to #13 on Arena's leaderboard, emphasizing cost per task as a key metric for long-horizon knowledge work.