Executable Environments Replace Synthetic Prompts in Agent Benchmarks
Two systems demonstrate a clear trend: coding-agent benchmarks are shifting to verifiable environments built from real code, where agents must infer...

Created by James Allen
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Two systems demonstrate a clear trend: coding-agent benchmarks are shifting to verifiable environments built from real code, where agents must infer...
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MiMo-V2.6 shows RL scaling through coordinated async rollouts (1568 prompts × 16 per step at ~2B tokens) plus environments and harnesses, not just raw compute.
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Treating LLM classification as feature engineering—using the model to extract structured signals from messy inputs, then feeding them to a classical...
Zing-0.5, a 5B autoregressive world model, enables users to explore generated environments with joint keyboard and text control in real time. It...
In PPO for LLMs, critics exhibit Value Flattening where Monte Carlo state values shift sharply but predictions remain flat, tied to variance penalties...
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