Revan

Eng @ Scale AI

[Edgar Arakelyan @earakely]

For computer RL Environments the driver you use is more important than the model.

On CUA Driver Bench, we find that Haiku 5.5 w/cua-driver scores higher than GPT 6.1 Sol w/Codex Computer Use.

[Pydantic @pydantic]

Pydantic AI is now a supported agent in @ScaleAILabs AgentEnv Framework.

Put it in a realistic environment (an inbox, a help desk), give it a task, and a verifier grades the result.

Change one ID to run a different agent on the same task.

https://t.co/k5aC7lCO7d

[Edgar Arakelyan @earakely]

At @ScaleAILabs we created a high fidelity RL Environment of a trading desk in a real Texas battery grid.

GPT-6.1 Sol made $85,771 trading a real Texas battery. The battery's real operator made $20,647.

[Revan @RevanAleti]

How far can a better harness take a lightweight model?

Using Agent Env Framework from @ScaleAILabs, we let Haiku's harness recursively improve across 3 games and put it head to head against Opus.

See more at: https://t.co/LZkKRqLYaS

[Sarah Chitty @sarahchitty22]

Most phone agents are tested in simulated environments, but the real world is messier: carts persist, listings change hourly, and navigation varies.

At @ScaleAILabs, we ran agents on real phones with real apps on AgentEnv Framework.

See more at https://t.co/os4LJLyTPG

[Scale @scale_AI]

Every RL environment we build runs on AgentEnv.

Today we’re open-sourcing it, so more people can build the worlds agents learn in.

[Tensorlake @tensorlake]

Tensorlake is now a built-in sandbox provider in @scale_AI 's AgentEnv Framework. An open-source framework for building RL environments.
Check out the docs and the demo to see how the Tensorlake sandbox hosts a full environment for a PortSim task.
https://t.co/7mfsIbMeNy

[keem @babykeem]

how do u fix openclaw internal reasoning leaking

[☆ @THEUN1VRSE]

Vermithor

[cory @coolmathgame_]

just looking out for one of my homies