OpenAI推理第一人创业了：要造“活到老学到老”的AI，先来融它70个亿

Core Viewpoint - Jerry Tworek, a key figure in AI model reasoning, has founded a new company called Core Automation, focusing on "continuous learning" in AI models and plans to raise $1 billion (approximately 70 billion RMB) for this venture [1][15][20]. Company Background - Jerry Tworek played a crucial role in the development of OpenAI's reasoning capabilities and has a strong theoretical and mathematical background, having completed a master's degree in mathematics at the University of Warsaw [4][6][9]. - Before joining OpenAI in 2019, he worked in quantitative research, which shaped his interest in reinforcement learning [7][9]. Focus on Continuous Learning - The new company aims to address the challenge of how models can continuously learn from new data and experiences, rather than being static after deployment [12][15]. - Tworek believes that current mainstream models are limited to a "train and deploy" approach, which does not adapt to new situations encountered in real-world applications [12][22]. Implementation Strategy - Core Automation plans to develop a new architecture that does not rely on Transformers and aims to integrate the training process into a continuous system, allowing models to learn while in operation [17][20]. - The goal is to enable AI models to learn from ongoing experiences while retaining previously acquired knowledge [16][22]. Industry Context - The continuous learning approach is gaining traction, with other companies and academic institutions also exploring similar directions, such as Ilya's SSI company and Google Research's new methodologies [24][28]. - The industry consensus suggests that achieving Artificial General Intelligence (AGI) requires models to possess capabilities akin to biological systems, including continuous evolution and self-optimization, making continuous learning a critical aspect [23][24]. Future Outlook - The ambition to raise $1 billion reflects the high expectations for the potential of continuous learning in AI, with industry experts predicting that 2026 could be a pivotal year for this field [31].