OpenAI’s ex-CTO (Chief Technology Officer) Mira Murati has started a new AI (artificial intelligence) venture “Thinking Machines Lab,” heating up the already competitive AI market. According to an X post, Murati’s AI startup aims to make “AI systems more widely understood, customizable and generally capable.” What’s more, the AI venture promises to publish at least some of its codes and technical research regularly, implying that it will make open-source models.
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Another OpenAI Executive Starts an AI Firm
Murati abruptly left OpenAI in September 2024 and has since been working on building her new AI venture. Murati adds to the growing number of OpenAI executives who are leaving the company to build their own AI ventures. Former OpenAI chief scientist Ilya Sutskever started Safe Superintelligence, while former researcher Stanislas Polu launched Dust. The renowned AI firm Anthropic, which is one of OpenAI’s biggest challengers to date, was also started by its former employees Dario and Daniela Amodei.
Thinking Machines Lab is a public benefits corporation, which is on a mission to make products that will help humans work alongside AI to achieve their distinctive needs and aspirations. Murati’s startup does not seek to make fully autonomous AI systems, at least, as of now, but will focus on making multimodal systems.
Murati Poaches AI Experts from Rivals
Murati’s Thinking Machines Lab has been poaching AI experts from rival AI companies to build a dream team. For instance, OpenAI co-founder John Schulman is now chief scientist at Murati’s firm, while Barrett Zoph, also from OpenAI, is the startup’s CTO.
In all, Murati has poached around ten research experts and engineers from rivals, including Sam Altman-led OpenAI, AI labs, Character.AI, Meta Platforms (META), Mistral AI, and Alphabet-owned (GOOGL) Google’s DeepMind. Thinking Machines Lab has already built a 30-member team and is reportedly in talks with potential venture capital investors to secure funding. Meanwhile, the AI company continues to search for candidates for the roles of machine learning scientists, engineers, and a research program manager.
Which AI Stock Is Best for Investing?
It’s interesting to note here that every new AI startup is trying to outperform the former but, in the process, offering similar AI models. The intense competition is, in fact, leading to commoditizing AI, and eventually, little competitive differences will remain.
Having said that, investors can look at the different listed AI companies to gain exposure to the AI sector. We leveraged TipRank’s Stock Comparison Tool for Best AI Stocks to understand which listed company is best positioned for future growth, according to analysts.
Currently, five companies have garnered Wall Street’s Strong Buy consensus rating, with Meta Platforms also earning a TipRanks Smart Score of Perfect 10. This implies that META stock is most likely to outperform market expectations.
