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速递|​​前OpenAI员工创立Applied Compute以5亿美元估值融资,Lux Capital领投
Z Potentials·2025-09-28 14:29

Core Insights - Investors are increasingly funding startups that focus on automating tasks using reinforcement learning (RL) technology, as developers rely more on this approach to optimize AI models [1][4] - Applied Compute, founded by three former OpenAI employees, is negotiating a new funding round at a valuation of $500 million, just three months after raising $100 million [1][2] Group 1: Company Overview - Applied Compute aims to assist software developers and enterprises in utilizing RL technology to create customized AI systems for specific sectors such as law and finance [2][3] - The company has previously raised $20 million from investors including Benchmark, Conviction, and Sequoia Capital [2] Group 2: Founders and Background - The founders, Rhythm Garg, Yash Patil, and Linden Li, are Stanford University alumni who worked on developing ChatGPT's reasoning model and other AI tools before joining OpenAI [3] - Other companies, such as Thinking Machines Lab, co-founded by former OpenAI CTO Mira Murati, are also planning to offer RL services to enterprises [3][4] Group 3: Market Trends and Technology - Reinforcement learning is becoming a key technology for AI developers, helping improve models by rewarding desired behaviors and penalizing others [4] - The potential for RL to automate tasks in various fields is significant, with expectations that the entire economy could evolve into a "reinforcement learning machine" [4]