fun fact: during our team's trip to pytorch conf in paris we had a heated debate on whether we should use bash or python as the main repl for a new training harness we were designing. at some point it occurred to us that we could have the best of both worlds with ipython
there is something oddly satisfying in an agent interacting with the whole world through the universal language that is code. i am sure your agent will appreciate it too!
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super proud to get this out and in the hands of the people !!
a quick thread on some personal highlights
this was a fun side project to increase our set of usable agent tasks with a focus on tool diversity. the thing that stood out to me the most was the process: going from an idea, to environment, to running 1000s of parallel, multi-hour agent episodes was mind-bogglingly easy thanks to our stack. i view the v0 taskset as a preview of what’s to come: byo harness with broad task composability + truly multi-agent training to create, evolve and verify tasks on-the-fly
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