---
title: "Why This CEO Thinks Video Games Make Better Training Data for AI Than the Internet"
source: "TechCrunch：AI（RSS）"
source_tier: "t2"
url: "https://techcrunch.com/video/why-this-ceo-thinks-video-games-make-better-training-data-than-the-internet/"
permalink: "https://feed.astralor.com/items/itm_a5342c550d44bcb7fa90ae8f"
published: "2026-07-08T17:47:55.000Z"
score: 68
channel: "ai"
tags: ["General Intuition","Robot Training","Physical AI","Video Game Data"]
---

# Why This CEO Thinks Video Games Make Better Training Data for AI Than the Internet

## AI commentary

> The CEO's stance in this article is direct and controversial—almost rejecting the mainstream internet-data-driven paradigm. For researchers working on robot manipulation and sim-to-real transfer, this is a signal worth watching. The $320M funding round also shows capital confidence in this approach.

## At a glance

General Intuition CEO Pim de Witt joins TechCrunch's Equity podcast to explain why the startup raised $320M: video game interaction data provides richer, more physically grounded training signals for robotics and physical AI than noisy internet text. This approach aims to overcome limitations of traditional web-scraped data in teaching machines real-world physics.

## Key points

- General Intuition raised $320M to focus on physical AI and robotics training.
- CEO argues video games offer closer-to-reality interactive feedback, surpassing internet data.
- The approach challenges current multimodal training paradigms dominated by web text.

## Full text

Watch as General Intuition CEO Pim de Witt joins TechCrunch's Equity podcast to explain how the startup's $320M round and gaming data are powering the next wave of physical AI and robotics.

---

Verify against the original before citing; curated by Astral Feed: https://feed.astralor.com/items/itm_a5342c550d44bcb7fa90ae8f