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Revolutionizing AI Training with Video Games General Intuition, a startup founded by Pim de Witte, has raised $320 million at a $2.3 billion valuation to develop AI agents that can learn from video games and apply that learning to real-world scenarios. The company's technology uses gameplay data to train AI models, which can then be applied to robotics and other areas. The Power of Gameplay Data General Intuition's AI model is trained on millions of hours of gameplay data, which provides a rich source of information on spatial-temporal reasoning and human action. The company's chief product officer, Kent Rollins, demonstrated the technology by showing an AI agent playing a game like Fortnite for 100 hours straight. The agent was able to navigate the game's virtual environment and make decisions based on its surroundings. Real-World Applications The same AI model powering the game-playing agent is also being used to control a large quadrupedal robot. The robot was able to navigate the office and adapt to its surroundings using a single camera and a small amount of real-world data. General Intuition's goal is to create a model that can generalize from gameplay to simulation to embodiment, allowing it to be applied to a wide range of real-world scenarios. Investor Confidence The funding round was led by Khosla Ventures, with participation from General Catalyst, Jeff Bezos, Eric Schmidt, Nico Rosberg, and researchers at Google DeepMind and MIT. Vinod Khosla, founder of Khosla Ventures, said that he was drawn to General Intuition's vision and proprietary data position. "If you look at LLMs, when reasoning emerged, it was a quantum leap," Khosla said. "In world models, I think the quantum leap is the emergence of intuition in the AI, a human intuition-like capability." Future Plans General Intuition plans to use the funding to scale its compute capacity and make its API more broadly available. The company is also focused on developing a platform called Nerve, which allows gamers to earn money using their existing setups. De Witte wants General Intuition to be an ecosystem enabler, like Anthropic or OpenAI, providing a foundation for others to build on top of its technology.

General Intuition's Massive Funding Round General Intuition, a New York-based startup building a foundation model that trains AI agents how to move through space and time, is in talks to raise around $300 million, sources familiar with the matter told TechCrunch. The Background of General Intuition The raise comes eight months after General Intuition spun out of Medal, a platform for uploading and sharing video game clips, with a $134 million seed round. The fresh funds would bring the startup’s valuation up to just over $2 billion, sources say. Key Backers and Investors Sources tell TechCrunch General Intuition has secured funds from backers, including Jeff Bezos and Eric Schmidt, as well as existing investors Khosla Ventures and General Catalyst. The Team Behind General Intuition Pim de Witte, who co-founded Medal, founded and leads General Intuition alongside co-founders Eloi Alonso, Adam Jelley, and Vincent Micheli — researchers who bring expertise in world modeling and simulation. The Unique Dataset and Technology The startup trains embodied AI and world models using Medal’s dataset of 2 billion videos per year from 10 million monthly active users. The startup’s pitch is that such a dataset — unique because it allows AI to learn from interactive, first-person gameplay — is the perfect base to teach machines deep spatial-temporal reasoning, allowing them to perceive, anticipate, and interact in real time in simulation. Competition in the World Model Space The world model space that General Intuition is playing in is heating up. Startups like Runway, Decart, and World Labs have all recently released world models, and Google’s Genie 3 recently began integrating Google Maps data for more real-world simulation capabilities. Future Plans and Use of Funds General Intuition will use the funds to scale up its compute capacity so it can release a new product by the end of summer or early fall, according to a source familiar with the matter.