昔日AlphaGo和Gemini幕后英雄联手创业！Reflection AI获20亿美元融资，英伟达投钱，目标打造「十万亿token级」模型，让AI不再被少数人 掌控。 在AI资本竞速的战场上，美国投资者正用真金白银押注未来！ 据PitchBook统计，全球AI基础模型公司去年融资349亿美元；今年，已融资翻番至719亿美元。 刚刚，DeepMind前研究员创立、成立一年多的AI初创Reflection AI，竟斩获高达20亿美元融资。估值瞬间飙升至80亿美元！ 从谷歌前CEO施密特到英伟达，再到红杉、花旗，顶级玩家争相入局，一场围绕开源AI主权的科技冷战，正在燃起资本最狂热的火焰。 开源VS闭源、算力VS人才、美国VS中国，Reflection AI宣称要打造「美版DeepSeek」，在AI新时代夺回技术话语权。 关于未来智能控制权的终极对决，正在悄然拉开帷幕。 AI决战之时 Misha Laskin（下图左）曾主导DeepMind「Gemini」项目中的奖励建模工作；Ioannis Antonoglou（下图右）则参与了2016年打败围棋世界冠军的AI系统 AlphaGo的开发。 创始人的经历成为公司核心 ...

Core Insights - Reflection AI, a US-based startup, is in talks to raise over $1 billion for developing open-source large models to compete with providers like DeepSeek, Mistral, and Meta [2] - The company was founded in 2024 by former Google DeepMind scientists Ioannis Antonoglou and Misha Laskin, who have significant experience in AI development [2][5] - Reflection AI aims to create super-intelligent autonomous systems and has already launched its first programming agent, Asimov, which assists developers in coding tasks [2][11] Company Overview - Reflection AI has raised $130 million in March 2023, with a current valuation of $545 million [3] - The founding team consists of experts from Google DeepMind, OpenAI, and Anthropic, focusing on large language models and reinforcement learning [9][11] - The company emphasizes the importance of autonomous programming as a key step towards achieving superintelligence [11] Product Development - The Asimov agent can analyze enterprise data and generate relevant code, already attracting paying clients in sectors like finance and technology [11][12] - Asimov has reportedly improved developer productivity by tenfold, according to insights from Sequoia Capital [12] Market Positioning - Reflection AI is positioning itself to become a leading provider of open-source AI models in the US, responding to the growing demand for customizable and cost-effective solutions [16][18] - The company is capitalizing on the limitations of closed-source models, particularly regarding data security concerns faced by US companies [16] Industry Trends - The rise of open-source models is prompting US AI companies to accelerate their development efforts, as seen with Reflection AI's ambitions [19] - Training costs for AI models are significant, with OpenAI projecting over $7 billion in training expenses for 2023, highlighting the challenges for startups in this space [19]