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

Latent Space · 2026-08-21

Simulation: the new Scaling Law — Joon Sung Park, Simile AILatent Space ▶ Play the video

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Why it earned a slot

The SimGym hype and Simile AI's $2B Series B funding are a stark reminder that the summer of simulative AI never truly went away. Joon Sung Park's discussion on the new scaling law for simulation will likely resonate with those who've been following the trajectory of simulators like SimGym.

The short version

Simulators are back with a vengeance, but are they just a band-aid for the real infrastructure problems?

Why it matters

The resurgence of simulators highlights the urgent need for a fundamental overhaul of grid-to-chip infrastructure, not just scaling compute. This matters now because the explosive growth of AI data centers is putting a strain on the power grid, and we need to address this issue before it's too late.

My take

The industry needs to focus on developing more robust and efficient infrastructure to support the growth of AI data centers.

How it connects

• The discussion on simulators is closely tied to the broader conversation on AI safety and the need for more robust testing and validation.
• The episode's focus on simulators also highlights the importance of developing more efficient and scalable infrastructure to support the growth of AI data centers.
• The funding of Simile AI by prominent backers like Fei-Fei Li and Andrej Karpathy underscores the growing interest in simulators and their potential applications in the industry.

Bottom line

AI practitioners should be cautious about relying solely on simulators and instead focus on developing more robust and efficient infrastructure to support the growth of AI data centers.