Arthur Mensch is the Co-Founder and CEO of Mistral AI. Since its inception in May 2023, Mistral has raised over $520M in funding from investors like Andreeseen Horowitz, General Catalyst, Lightspeed Venture Partners, and Microsoft with a current valuation of $2 billion. Before founding Mistral, Arthur was a research scientist at DeepMind, one of the leading AI institutions in the world.
In Today’s Episode with Arthur Mensch We Discuss:
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From Models to Team Building: Arthur’s Greatest Lessons at DeepMind
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What were Arthur’s biggest lessons from his time at DeepMind?
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How did DeepMind shape how Arthur built Mistral?
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Why does Arthur believe smaller teams are better for AI?
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Why did Arthur decide to leave DeepMind and start Mistral?
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Scaling Mistral to $2 Billion Valuation Within a Year
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What made Mistral 7B so successful? What did Arthur learn from the model release?
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What are the biggest barriers at Mistral today?
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How does Arthur balance the sales and research teams at Mistral?
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What does Arthur know now that he wishes he had known when he started Mistral?
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How to Win in AI: Open Source, Cost, & Adoption
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Why did Arthur open-source some models? Why did he close some?
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How quickly will the cost of compute go down? Why does Arthur believe marginal costs will not go to zero?
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How will open-sourcing LLMs affect the marginal cost?
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Does Arthur think open source is ready for enterprise adoption?
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What questions should enterprises be asking about AI adoption today?
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What are the biggest challenges to AI adoption today?
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The Future of LLMs
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What does Arthur think are the largest bottlenecks of model quality today?
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Does Arthur think future models will be more generalized or vertical-focused?
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What does Arthur think about the future of commoditization in models?
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Why is Arthur optimistic about the profitability of the application layer of AI?
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How should models differentiate themselves today?
