Simulation: the new Scaling Law — Joon Sung Park, Simile AI · AuraTracer

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On August 21, 2026, Joon Sung Park, a researcher at Simile AI, proposed a simulation framework called “New Scaling Law” in his latest study. This study aims to redefine the scaling relationship between artificial intelligence model performance and computational resources, challenging the traditional theoretical assumptions that have long dominated this field.

Related eventsRELATED EVENTS

2026-09-07 21:02The `GPT-6 Astra model was released, and OpenAI President Brockman confidently declared, “Welcome to the era of AGI.”
2026-09-08 19:21OpenAI released GPT-6 Astra, marking the arrival of the AGI era, with capabilities for autonomous computer operation and scientific research.
2026-09-08 22:40① Nvidia CEO Jensen Huang posted that OpenAI’s GPT-6 Astra, released last week, was trained using approximately 100,000 NV Link 72 clusters, and he believes that General Artificial Intelligence (AGI) has officially arrived; ② GPT-6 Astra can directly operate computers and software to perform complex tasks such as programming, reaching the most advanced level in multiple fields. OpenAI has announced the beginning of the AGI era.

Key entitiesKEY ENTITIES

Fei-Fei LiGreenOaksIndex VenturesJoon Sung ParkSimile AI

Event frameEVENT FRAME

Funding / M&A $2B Series B

Simile AI 获 GreenOaks 与 Index Ventures 投资

Coverage · reports per dayLANGUAGE SPLIT

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SignalsSIGNALS

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Simile AI1
Joon Sung Park1
GreenOaks1
Index Ventures1
Fei-Fei Li1

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L Latent Space en 2026-08-22 07:37

Simulation: the new Scaling Law — Joon Sung Park, Simile AI

Simile AI has completed a $2 billion Series B financing led by GreenOaks and Index Ventures. Its founder and CEO, Joon Sung Park, is working on building digital twins that can simulate human behavior. The project uses long interviews, transaction data, and randomized controlled trials to train basic models, aiming to provide Fortune 100 companies like CVS with more accurate predictions than traditional focus groups, achieving an accuracy rate of 85% to 99% in simulations. Simile trains and builds a global simulation world containing 8 billion people through causal mechanisms, attempting to test products before policy implementation, address complex issues such as climate change and democratic stability, and explore the economic feasibility of replacing expensive human research panels with synthetic populations.