tech
General Intuition's $2.3B bet that video games can train AI agents for the real world
General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition.
TL;DR
- General Intuition raised $320 million at a $2.3 billion valuation, bringing its total disclosed funding to $454 million.
- The company's AI model is trained on millions of hours of gameplay data, focusing on action labels to understand spatial-temporal reasoning.
- This AI model powers both virtual agents in games and physical robots, demonstrating generalization from simulation to embodiment.
- The company's core technology aims to create AI with "intuition," differentiating itself from models that infer actions from video alone.
- The funding will be used to scale compute capacity and improve the AI model, with a portion dedicated to making its API more widely available.
- General Intuition is committed to ethical AI use, refusing applications that harm humans and focusing on beneficial uses like search and rescue.
- The company also launched Nerve, a jobs marketplace for gamers, to help them transition into AI-related work.
- Investors, including Khosla Ventures, see General Intuition's proprietary data as a key differentiator for building generalized agents and world models.