A big problem thus far has been singular agents trying to solve all aspects of the task, which others have noted can cause a 90% success rate to result in .9.9.

A big problem thus far has been singular agents trying to solve all aspects of the task, which others have noted can cause a 90% success rate to result in .9.9.9. I expect this spring and summer we will see the first batches of agents working together to solve problems. ChatGPT announced the ability for their paywalled GPTs to call upon other GPTs which is an elementary version of this process. As teams experiment with these concepts, and as compute costs fall in parallel, I believe we will see potentially thousands or millions of them working together. Doing so will bring a more deterministic outcome to the process while also encouraging the unexpected and variable output that is inherent in LLM output.