AI can do more than ever, but real-world impact still lags far behind
iskander · x · 2026-07-25
Ruxandra Teslo argues that the gap between what AI can do in principle and its real-world impact is exactly why “AGI-pilled” people should pause.
- The core puzzle is that models can already do a lot, yet measurable real-world outcomes still look far below what many AGI forecasts imply.
- She says she has not seen many people clearly explain why this gap exists.
- Her takeaway is a call for better analytical tools and mental models to understand why capability gains are not translating into equivalent real-world impact.
Related event: AI's Real-World Impact Lags Behind Its Capabilities(3 posts)→
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