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AI RESEARCHERS DISCUSS RSI SKEPTICISM, CHINA PROGRESS

AI DESK1 MIN READ
SAT, SEP 12, 2026

■ AI-SUMMARIZED FROM 1 SOURCE ▸ TIMELINE

John Schulman, Beren Millidge, and Charlie O'Neill appeared on the Dwarkesh Podcast to discuss critiques of AI risk concerns, Chinese AI lab developments, and long-horizon reinforcement learning advances.

The researchers tackled steelmanning arguments against RSI (Risks from Scalable Intelligence), presenting the strongest possible case against existential AI concerns while maintaining technical rigor. Discussion covered recent progress by Chinese AI laboratories and their competitive positioning in the field. The conversation examined long-horizon reinforcement learning, addressing how AI systems learn to plan and execute strategies over extended timeframes. Schulman, known for work on policy gradient methods, joined Millidge and O'Neill in exploring the current state of AI capabilities. A recurring theme emphasized that frontier AI development remains far from theoretical limits. The episode covered technical advances, safety considerations, and the global AI research landscape. Topics ranged from fundamental algorithmic improvements to deployment challenges facing leading labs.

■ SOURCES

Techmeme

■ SUMMARY WRITTEN BY AI FROM THE LINKS ABOVE

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