Venture(US:VEMLY) Hua Er Jie Jian Wen·2025-06-24 08:39Core Insights - Thinking Machines Lab (TML), founded by former OpenAI CTO Mira Murati, has achieved a valuation of $10 billion after raising $2 billion in funding within five months of its establishment [1][2]. Group 1: Business Model and Strategy - TML focuses on developing customized AI models driven by reinforcement learning, linking AI models to specific KPIs tracked by businesses to enhance revenue or profit [2]. - The company aims to provide tailored solutions for specific industries such as customer support, investment banking, and retail, potentially allowing clients to pay a premium for these services [2]. - TML plans to shorten development cycles by integrating open-source models through a technique called "model merging," which combines the strengths of multiple models without additional training [2]. Group 2: Talent and Acquisition Interest - TML has assembled a team of over 20 top researchers and engineers from leading AI companies, including OpenAI and Anthropic, making it an attractive target for acquisition [3]. - Discussions have occurred between Meta's CEO Mark Zuckerberg and Murati regarding potential investment or acquisition, although no substantial progress has been made [3]. - Google Cloud is providing TML with NVIDIA-powered server rental services, which may lead to further investment from Google as TML's server rental expenses increase [3]. Group 3: Market Challenges - TML faces significant competition from other AI startups like Scale AI and Turing, which are also developing customized AI consulting services for specific industries [4]. - The scalability of consulting services presents challenges, potentially limiting profit margins and growth rates [4]. - TML is exploring the development of additional AI applications or software to enhance profit margins [4]. Group 4: Future Product Plans - TML is considering launching consumer-facing products, including a chatbot that could compete with OpenAI's ChatGPT, although specific details remain unclear [5].