Ep 84: OpenAI’s Chief Scientist on Continual Learning Hype, RL Beyond Code, & Future Alignment Directions

Ep 84: OpenAI’s Chief Scientist on Continual Learning Hype, RL Beyond Code, & Future Alignment Directions

From Unsupervised Learning with Jacob Effron by by Redpoint Ventures

April 9, 2026 · 59 min · Episode 84

About this episode

Jakub Pachocki discusses the current state and future directions of AI research with Jacob Effron.

Jakub Pachocki, OpenAI's Chief Scientist, sits down with Jacob to cover the full arc of where AI research stands today and where it's headed. The conversation spans the explosive growth of coding agents and what it signals about near-term AI capability, the use of math and physics benchmarks as proxies for general intelligence, how reinforcement learning is being extended beyond easily-verified domains toward longer-horizon tasks, and what it means to run a research organization at the precise moment the models themselves are starting to accelerate the research. Jakub shares a candid take on the competitive landscape, why chain-of-thought monitoring is one of the most promising tools in the alignment toolkit, and — with unusual directness — why the concentration of power enabled by highly automated AI organizations is a societal problem that doesn't yet have an obvious solution.

People in this episode

Host: Jacob Effron

Guest: Jakub Pachocki

Topics covered

  • AI research
  • reinforcement learning
  • alignment
  • coding agents
  • general intelligence
  • societal impact of AI

Keywords

  • OpenAI
  • reinforcement learning
  • AI capability
  • alignment toolkit
  • coding agents
  • societal problems
  • research organization

Mentioned in this episode

Organizations: OpenAI, Redpoint Ventures

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