“We went off and built a platform that can help military planners think about the future, simulate a distribution of outcomes going into the future, and ultimately help them make better decisions”
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Said on TBPN
Richard Socher · Super Data Science: ML & AI Podcast with Jon Krohn · 1037: Recursive Self-Improvement: The Eureka Machine, with Dr. Richard Socher
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built a two-level reinforcement-learning simulation called the AI Economist that iterates billions of years of taxation and subsidy policies to find optimal outcomes
“We went off and built a platform that can help military planners think about the future, simulate a distribution of outcomes going into the future, and ultimately help them make better decisions”
“The cost to post-train ... is falling. You're still better off doing a bunch of context optimization and harness optimization, but once you squeeze a lot out of the harness you can continue to squeeze a lot out of optimizing the policy”
“We put your 4 million into an income annuity… we put it into a life insurance policy, put the life insurance policy into an irrevocable life insurance trust… 12 million free of taxation to his children”
“We've got a state of the art reinforcement learning stack that allows us to run things at massive scale, inhale data at the optimal way, be able to kind of learn and…”
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