Schmidhuber on Intelligence and Efficiency
SchmidhuberAI · x · 2026-07-16
This is an in-depth interview with Jürgen Schmidhuber focusing on the relationship between intelligence and efficiency, expanding into broader topics within the AI ecosystem:
- He argues that RSI (Recursive Self-Improvement) may not necessarily become a moat for model companies.
- Regarding research directions, he believes researchers should prioritize capabilities that drive genuine efficiency gains over superficial scaling.
- He predicts a significant depreciation of data centers, expressing skepticism about the long-term value of current computing infrastructure.
- He notes that he is not overly concerned about AI safety, while also discussing necessary model improvements.
The interview also covers topics like the timeline for AGI, whether an AI explosion will happen suddenly, and why he equates "intelligence" with "efficiency."
Related event: Schmidhuber Argues Recursive Self-Improvement Offers No Lasting Moat(3 posts)→
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