
Mechanize
@MechanizeWork • 14,243 subscribers
We build environments and evals for training and evaluating frontier coding agents.
Videos

Our new podcast on evals, with Max Niederman, Ege Erdil, and Stephen Yang. 0:00:00 – What's an eval, and how's it different from an RL environment? 0:19:33 – Why are models bad at building an emulator when the task is fully verifiable? 0:42:00 – How does training on bad data teach models to write terrible code? 1:04:00 – Why is continual learning still so bad? 2:25:24 – Why haven't software engineers been replaced when coding is basically solved? Listen to the Mechanize Podcast on YouTube, Spotify, etc. Enjoy!
Mechanize39,106 görüntüleme • 1 ay önce

If someone from the future gave us a trillion tokens of agents competently planning, executing, and adapting, we'd likely turn today's models into highly capable agents overnight. But we don't currently have that data. We at Mechanize are working to solve that.
Mechanize27,890 görüntüleme • 11 ay önce
Daha fazla içerik yok.