AI doomer “rapid take-off to AGI / single superintelligence” narratives are incorrect; leading models cluster in performance and leapfrog rather than one model dominating.

Original statement

“The Doomer narratives were wrong. Predicated on a “rapid take-off” to AGI, they predicted that the leading AI model would use its intelligence to self-improve, leaving others in the dust, and quickly achieving a godlike superintelligence. Instead, we are seeing the opposite: — the leading models are clustering around similar performance benchmarks; — model companies continue to leapfrog each other with their latest versions (which shouldn’t be possible if one achieves rapid take-off); — models are developing areas of competitive advantage, becoming increasingly specialized in personality, modes, coding and math as opposed to one model becoming all-knowing.”

Market context

No high-confidence matching market is linked. Loose thematic matches are not shown.

Resolution

This prediction remains open.