T3 Stack creator Theo Browne says incorrect LLM responses cost more because failing models enter repetitive token-consuming loops

Positive users praise SOTA LLMs for handling failures cleanly without looping or doomspiraling, while negative users accuse providers of deliberately burning extra tokens on errors to raise costs with no incentive for accuracy.

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