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: 1.
From Models to Team Building: Arthur’s Greatest Lessons at DeepMind 2. •
What were Arthur’s biggest lessons from his time at DeepMind? • •
How did DeepMind shape how Arthur built Mistral? • •
Why does Arthur believe smaller teams are better for AI? • •
Why did Arthur decide to leave DeepMind and start Mistral? • 1.
Scaling Mistral to $2 Billion Valuation Within a Year 2. •
What made Mistral 7B so successful? What did Arthur learn from the model release? • •
What are the biggest barriers at Mistral today? • •
How does Arthur balance the sales and research teams at Mistral? • •
What does Arthur know now that he wishes he had known when he started Mistral? • 1.
How to Win in AI: Open Source, Cost, & Adoption 2. •
Why did Arthur open-source some models? Why did he close some? • •
How quickly will the cost of compute go down? Why does Arthur believe marginal costs will not go to zero? • •
How will open-sourcing LLMs affect the marginal cost? • •
Does Arthur think open source is ready for enterprise adoption? • •
What questions should enterprises be asking about AI adoption today? • •
What are the biggest challenges to AI adoption today? • 1.
The Future of LLMs 2. •
What does Arthur think are the largest bottlenecks of model quality today? • •
Does Arthur think future models will be more generalized or vertical-focused? • •
What does Arthur think about the future of commoditization in models? • •
Why is Arthur optimistic about the profitability of the application layer of AI? • •
How should models differentiate themselves today? •
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