[bitwize]

Agentic development allows one Claude, multiplexed a few times, to vastly improve its output and tackle much bigger problems than just prompting the one instance. If you had a million Claudes in layered networks like we do with matmuls to form Claude, you'd be really cooking with gas.

(Maybe that's why they call it Gas Town?)

[mysecretaccount]

The output undoubtedly improves when looping LLM output back into the model at inference-time, but there is a limit to this and it is still bounded by the acumen of the underlying model. You cannot just recurse these models with tooling and compute to e.g. solve new physics.