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Javier E

Mistral, the 9-Month-Old AI Startup Challenging Silicon Valley's Giants - WSJ - 0 views

www.wsj.com/...ilicon-valleys-giants-ee2e4c48

AI development open-source policy startup

shared by Javier E on 27 Feb 24 - No Cached
  • Mensch, who started in academia, has spent much of his life figuring out how to make AI and machine-learning systems more efficient. Early last year, he joined forces with co-founders Timothée Lacroix, 32, and Guillaume Lample, 33, who were then at Meta Platforms’ artificial-intelligence lab in Paris. 
  • hey are betting that their small team can outmaneuver Silicon Valley titans by finding more efficient ways to build and deploy AI systems. And they want to do it in part by giving away many of their AI systems as open-source software.
  • Eric Boyd, corporate vice president of Microsoft’s AI platform, said Mistral presents an intriguing test of how far clever engineering can push AI systems. “So where else can you go?” he asked. “That remains to be seen.”
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  • Mensch said his new model cost less than €20 million, the equivalent of roughly $22 million, to train. By contrast OpenAI Chief Executive Sam Altman said last year after the release of GPT-4 that training his company’s biggest models cost “much more than” $50 million to $100 million.
  • Brave Software made a free, open-source model from Mistral the default to power its web-browser chatbot, said Brian Bondy, Brave’s co-founder and chief technology officer. He said that the company finds the quality comparable with proprietary models, and Mistral’s open-source approach also lets Brave control the model locally.
  • “We want to be the most capital-efficient company in the world of AI,” Mensch said. “That’s the reason we exist.” 
  • Mensch joined the Google AI unit then called DeepMind in late 2020, where he worked on the team building so-called large language models, the type of AI system that would later power ChatGPT. By 2022, he was one of the lead authors of a paper about a new AI model called Chinchilla, which changed the field’s understanding of the relationship among the size of an AI model, how much data is used to build it and how well it performs, known as AI scaling laws.
  • Mensch took a role lobbying French policymakers, including French President Emmanuel Macron, against certain elements of the European Union’s new AI Act, which Mensch warned could slow down companies and would, in his view, do nothing to make AI safer. After changes to the text in Brussels, it will be a manageable burden for Mistral, Mensch says, even if he thinks the law should have remained focused on how AI is used rather than also regulating the underlying technology.  
  • For Mensch and his co-founders, releasing their initial AI systems as open source that anyone could use or adapt free of charge was an important principle. It was also a way to get noticed by developers and potential clients eager for more control over the AI they use
  • Mistral’s most advanced models, including the one unveiled Monday, aren’t available open source. 
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