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The Company Simulating Human Behaviour Transcript, AI Summary & Key Points

20VC with Harry Stebbings · Aug 01, 2026 · Science & Technology · 00:44 · EN

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AI Summary

AI companies need an interesting, defensible data strategy. Simulation markets aim to predict future human behavior, and a single simulation session could potentially command $100 million in about 2 to 3 years. People move through different life stages, careers, and jobs, which may reveal whether they are the common denominator behind successful outcomes.

Key Points

  • Simulation markets try to predict future human behavior.
  • AI companies of this generation need an interesting data strategy that is defensible.
  • A single simulation session could potentially be worth $100 million in about 2 to 3 years.
  • People experience different life stages, careers, and jobs, raising the question of whether they are the common denominator behind successful outcomes.

Tools & resources

1 item

SNo. 1677
AIAINotes.us AI product

Simile

simile.ai

Simile is a company and simulation platform that builds behavioral foundation models and synthetic "digital twins" of people to simulate populations and human decision‑making. The platform accepts scenario specifications, surveys and experimental designs as inputs and produces simulated populations, individual-level decision trajectories and aggregated outcome statistics that can be queried for policy analysis, product testing, forecasting and similar use cases. Simile is published from the vendor website and presents itself as a simulation platform for human behavior.

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Transcript

Searchable transcript of The Company Simulating Human Behaviour — 20VC with Harry Stebbings (00:44). Search for a phrase, then click its timestamp to jump straight to that moment in the video.

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00:00 I think there's a world in which in about 2 to three years we're running a single simulation session that people will pay $100 million for it. This is Jun Park, founder and CEO at Similey. They predict the future. They're a simulation market that try and predict future human behavior. It is incredible. >> My fundamental thesis here is for AI companies of this generation, you need to have an interesting data strategy that's going to be defensible.

00:24 This was one of the best AI technical conversations we've had in a long time and it was incredible to have June on the show. People live through different stages in their life and they have different careers, different jobs. At each stage of their life, were they the reason why that thing was successful? If you squint, were they the common denominator?