Mistral co-founder and CEO Arthur Mensch joins ‘Squawk Box’ to discuss the state of the AI tech race, the debate between open-source and closed-source large language models, AI partnerships, and more. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/42d859g

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date: 2024-07-26 12:01:09

duration: 00:06:16

author: UCrp_UI8XtuYfpiqluWLD7Lw

Mistral CEO Arthur Mensch on AI tech race, open- vs. closed-source LLM and AI partnerships

Arthur Mensch, CEO and co-founder of Paris-based AI startup Mistral, shares his insights on the AI technology race, open-source vs. closed-source large language models (LLM), and AI partnerships.

Mensch discusses the significance of the French President’s reference to him as an example of French genius, and how his company, Mistral, is one of the few startups to have made a big deal with Microsoft earlier this year. He emphasizes the importance of being an independent, decentralized AI company, offering deep access to developers, and promoting open-source models for faster, safer technology development.

Mensch highlights the debate between open-source and closed-source models, arguing that open-source is the safer and more beneficial approach for wider adoption. He also addresses concerns about competition in AI, stating that capital and talent are crucial factors in a startup’s success. He believes that Mistral’s focus on talent and capital has allowed them to succeed as a smaller company in the AI space.

The CEO also touches on the regulatory landscape, mentioning the US FTC’s scrutiny of large AI companies and their partnerships. He believes that there is a risk of regulatory capture of monopolies and emphasizes the importance of maintaining a competitive market.

In terms of the European tech ecosystem, Mensch sees a shift towards more ambition, entrepreneurship, and a recognition of unique tech competencies in countries like France, the UK, Germany, and Poland. He believes that this shift presents an opportunity for European companies to leverage their strengths and succeed in the global AI market.

Overall, Arthur Mensch’s insights offer a glimpse into the world of AI, highlighting the importance of open-source, talent, and capital in a startup’s success, as well as the potential for European companies to make a significant impact in the global AI landscape.

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