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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.

Why Did Ineffable Keep the Team Small?

Ineffable has hired 20 people and is keeping the team small on purpose. Ineffable is not in a hurry to build a giant organization, because a small number of incredibly talented people can do an awful lot now.

Hiring looks for four things together: exceptional talent, kind and collaborative people, alignment with the mission, and the right set of skills. Standards and expectations for the people who come in are very high. The small headcount also keeps compute per person high. One person can run a lot of experiments, and the group is not fighting for resources from day one.

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 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.
  2. What Is Ineffable's Super Learner?David Silver says a super learner has incredible capacity in depth and in breadth.
  3. 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…
  4. 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.
  5. 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.
  6. 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.
  7. Why Will Simulation Build Superintelligence Faster?Sonya Huang asked where the ceiling on simulation sits and when an agent should enter the real world.
  8. Why Does Ineffable Pace the Real World but Rush Simulation?Sonya Huang asked about pacing the frontier.
  9. 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.

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