8月6日凌晨，OpenAI发布两款"开源"和免费使用的AI模型，GPT-oss-120b和GPT-oss-20b。这是2019年 OpenAI开源GPT-2以来，首次推出新的开源大语言模型。 此次开源的两款模型都以宽松的Apache2.0许可证发布，企业在商用前无需付费或获得许可。在社交媒 体上，山姆.奥尔特曼表示："GPT-oss是一个重大突破，这是最先进的开放权重推理模型，具有与o4- mini相当的强大现实世界性能，可以在你自己的电脑(或手机的较小版本)上本地运行。" 早在今年1月DeepSeek引发开源潮并震惊全球后，OpenAI CEO山姆.奥尔特曼曾称OpenAI在开源技术方 面"站在了历史的错误一边"，并承诺3月发布新开源（300109）模型，然而这一计划推迟至今日。 ...

Core Insights - Reflection AI, a startup founded by former Google DeepMind researchers, is negotiating over $1 billion in funding to develop open-source large language models, competing with companies like DeepSeek, Mistral, and Meta [1] - The company has raised $130 million in venture capital from investors such as Lightspeed Venture Partners and Sequoia Capital, with a previous valuation of $545 million [1] - The founders aim to position Reflection AI as a leading provider of open-source AI models in the U.S., driven by the rising popularity of Chinese AI models [1] Funding and Valuation - Reflection AI is in discussions for a funding round exceeding $1 billion, with specific valuation details yet to be disclosed [1] - The company has successfully raised $130 million in its previous funding round, achieving a valuation of $545 million [1] Product Development - Reflection AI has been developing a programming assistant named Asimov, which analyzes enterprise data to generate relevant application code [3] - The product has launched a preview version and is beginning to generate revenue from enterprise clients [3] Market Dynamics - The demand for AI models in the Chinese market is driving Reflection AI's expansion into open-source AI model development [3] - Open-source models are seen as more cost-effective and flexible compared to proprietary models, allowing companies to fine-tune models for specific business processes [4] Competitive Landscape - As of now, no open-source models in the top 30 rankings on LMArena are developed by U.S. companies, highlighting a competitive gap [3] - Meta, a prominent open-source AI developer, is restructuring its AI business after its latest model underperformed compared to DeepSeek [2] Cost of AI Model Training - Training AI models is expensive, with OpenAI projecting to spend over $7 billion on model training this year, potentially reaching $17 billion by 2026 [5]