20VC: The Best AI Companies Have Unique Data Acquisition Strategies | Will Simile Kill Kalshi, Polymarkets and NASDAQ | How to Sign Fortune 500 Companies As Customers in Weeks with Joon Sung Park, Simile
Joon Sung Park is the Founder and CEO of Simile, the AI simulation company building foundation models of human behaviour; allowing companies to test how real people may think, decide and act before making a decision in the real world. Simile has now raised $300 million in total, including a $200 million Series B announced last week at a $2 billion valuation, led by Greenoaks and Index Ventures.
AGENDA:
00:00 We Will Pay $100M for a Single Query on Some Models
10:00 Why Stock Markets May Not Exist in 5 Years Time
15:00 The Best Companies All Have Unique Data Acquisition Strategies
19:00 The Best AI Companies Have Clear and Fast Reward Functions
24:00 How We Sign Fortune 500 Companies for $10M Contracts in Weeks
32:00 Does Similie Kill Kalshi and Polymarket? Prediction vs Changing the Future
42:00 Inside Similie's $300M Raise; What Every Founder Needs to Know
Simulating Humans at Scale: Simile's Joon Sung Park
The race to build superintelligence is producing models that keep getting better at objective problems, but not at behaving like actual people. Joon Sung Park, founder and CEO of Simile and creator of Stanford's "Smallville" generative agents study, argues that simulating human society requires a fundamentally different kind of model. He frames today's frontier models as the "CPU of intelligence"—rational, superhuman at problems with right answers—and Simile as creating the "GPU of intelligence," built to encode the diversity of people's values, preferences, and tastes. It simulated 1,000 Americans and predicted their behavior 85% as accurately as people reproduce their own answers. CVS uses it for concept testing; some customers simulate their own earnings calls. Joon's larger bet: a "CERN of human society" that could one day model bank runs, climate cooperation, or the early signals of a collapsing democracy.
Hosted by Sonya Huang, Sequoia Capital
From Sims to Sapiens: Crafting Reality with Code
Is it possible to construct a virtual society that authentically replicates human behavior? AI Town, a virtual town experiment where AI residents live, interact, and engage, provides valuable insights into the future of AI's believability and its interaction with humanity.
In this panel discussion, Joon Park, the author of 'Generative Agents: Interactive Simulacra of Human Behavior,' and Martin Casado from a16z, discuss the influence and potential of Generative Agents, exploring their practical applications in the real world.
Topics Covered
00:00 - Simulating human behaviors
04:49 - What are generative agents?
07:47 - Simulations, new technology, and LLMs
11:45 - The architecture behind simulating human behavior
16:37 - Generative agents interactions: observing, planning, and reflecting
20:22 - What is the value in advancing generative agents?
24:01 - Use cases for simulation behavior technology
29:31 - What are the ethical frameworks?
33:12 - Q&A from the audience
Resources:
Find AI Town: https://www.convex.dev/ai-town
Read the paper ‘Generative Agents: Interactive Simulacra of Human Behavior’: https://arxiv.org/pdf/2304.03442.pdf
Find Joon on Twitter: https://twitter.com/joon_s_pk
Find Martin on Twitter: https://twitter.com/martin_casado
Find a16z on Twitter: https://twitter.com/a16z
Find a16z on LinkedIn: https://www.linkedin.com/company/a16z
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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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Modeling Human Behavior with Generative Agents with Joon Sung Park - #632
Today we’re joined by Joon Sung Park, a PhD Student at Stanford University. Joon shares his passion for creating AI systems that can solve human problems and his work on the recent paper Generative Agents: Interactive Simulacra of Human Behavior, which showcases generative agents that exhibit believable human behavior. We discuss using empirical methods to study these systems and the conflicting papers on whether AI models have a worldview and common sense. Joon talks about the importance of context and environment in creating believable agent behavior and shares his team's work on scaling emerging community behaviors. He also dives into the importance of a long-term memory module in agents and the use of knowledge graphs in retrieving associative information. The goal, Joon explains, is to create something that people can enjoy and empower people, solving existing problems and challenges in the traditional HCI and AI field.