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Back to David Silver and Lasse Espeholt of Ineffable Intelligence: A Superlearner for the Age of Experience, with David Silver & Lasse Espeholt.

What Is the Right Approach to Solve AI?

David Silver says the right approach to solve AI is learning from experience, through systems that discover things for themselves. The systems learn through reinforcement learning and get better and better, and he says that path leads to the emergence of intelligence and ultimately superintelligence. He showed the approach in the game of Go, and the conviction has held throughout his career. He is now applying the same conviction at Ineffable, trying to show that superintelligence can emerge all the way through systems that learn from experience.

Ineffable is not pursuing the human data path that the LLM world has pursued, and David Silver still takes lessons from it. A system trained on a massive amount of data was very quickly fine-tuned on a very small amount of data and completely changed its behavior. He says the surprise changed his mindset by suggesting that, at the right scale, things that were slow can become very fast once enough data has been experienced. He says the lesson was not obvious to him in advance until it happened.

Grokipedia·David Silver

Transcript

David Silver and Lasse Espeholt of Ineffable Intelligence: A Superlearner for the Age of Experience ·

Training Data

More from this episode

  1. What Is Ineffable's Super Learner?David Silver says a super learner has incredible capacity in depth and in breadth.
  2. Why Did a Second Agent Make Go Endless?David Silver says a game of Go with one agent is the most boring game you could imagine, and a second agent turns the board into emergent complexity with an…
  3. Was AlphaGo Zero a Coin Flip for David Silver?David Silver says he was about 50-50 on whether removing human priors would produce even smarter intelligence.
  4. How Fast Did AlphaZero Overtake Two Years of AlphaGo?David Silver says the moment the team let go of human data, AlphaZero outperformed two years of human-in-the-loop AlphaGo work in a few hours.
  5. Why Does David Silver Believe a Super Learner Will Work?David Silver strongly believes the approach behind a super learner will be feasible at some point.
  6. Why Will Simulation Build Superintelligence Faster?Sonya Huang asked where the ceiling on simulation sits and when an agent should enter the real world.
  7. Why Does Ineffable Pace the Real World but Rush Simulation?Sonya Huang asked about pacing the frontier.
  8. How Did Lasse Espeholt's DeepMind Agent Get So Popular?Lasse Espeholt built a reinforcement learning agent at DeepMind that utilized GPUs and scaled linearly with compute.
  9. Why Did Ineffable Keep the Team Small?Ineffable has hired 20 people and is keeping the team small on purpose.

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