Ilya Sutskever

“Author of "We're Moving From The Age Of Scaling To The Age Of Research"”

All major AI labs are simultaneously converging on world models research—a shift from pattern matching and token prediction to causal simulation and state prediction—marking a significant paradigm change in AI development.

“Described emotions as value functions in a podcast discussion about moving from pattern matching to planning and simulation.”

Continual learning—the ability for models to learn new information over time without catastrophic forgetting—is essential for building more intelligent, efficient systems and addresses a critical limitation of current neural networks.

“Noted that humans rely on continual learning naturally and are very flexible to changing data.”

Leading AI researchers including Ilya Sutskever and Andrej Karpathy are revising AGI timelines and expressing skepticism about transformer scaling limits and LLM agent capabilities, raising doubts about current AI business model sustainability.

“Shared his view that transformer-based LLMs will likely stall in coming years as the scaling paradigm hits a ceiling and revised his estimate for human-like learning AI systems back by 5-20 years.”

The AI industry is transitioning from an era focused on scaling model parameters to an era emphasizing research-driven improvements in generalization and safety to ensure AGI development benefits humanity.

“Discussed SSI's strategy, problems with pre-training, how to improve generalization of AI models, and how to ensure AGI goes well in an interview with Dwarkesh Patel.”

Deposition reveals Ilya Sutskever and Mira Murati allegedly plotted over a year to remove Sam Altman from Anthropic leadership, with Ilya preparing a 52-page memo to justify his firing.

“His deposition exposed significant internal power struggles at OpenAI involving leadership conflicts and coordinated efforts to remove Sam Altman.”