LLM agent builds a CIFAR-10 classifier for a reported $0.0085 in tokens

An LLM agent built a working CIFAR-10 image classifier and the token cost for the documented run came to $0.0085. The agent located data, wrote training code, and saved the resulting model artifacts. The final accuracy on the test set reached 81.41%.

The run required one human nudge and explicit network allowances to complete. These conditions highlight that permissions, credential placement, and intervention accounting are central factors alongside the headline token bill.

Source: https://www.zeniteq.com