I was wrong about AI costs (they keep going up)

Summary

The transcript explores the unexpected complexity and high costs of AI model pricing, challenging initial assumptions about decreasing expenses in the tech landscape. The speaker discusses a personal benchmark experiment comparing various AI models like Grock 4, Gemini, and Claude 4 Opus, revealing significant discrepancies between advertised and actual token pricing. The key takeaway is that AI model costs are far more nuanced and potentially more expensive than initially anticipated, emphasizing the importance of thorough, hands-on research and testing in understanding emerging technology pricing structures.