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The author proposes that achieving Opus 5.5-level intelligence at API prices of $0.10/$0.01/$0.50 per million tokens would signify an abundance era for AI intelligence.
This paper analyzes how open-weight AI demand affects the economic value of older NVIDIA GPUs, showing that open-weight models are cheaper and that hardware like the A100 remains cost-effective for specific workloads.
Using smaller, cheaper LLMs can increase total workflow costs due to hidden expenses like review time and error correction, highlighting the need for comprehensive cost tracking.