Open source AI matters more than ever, according to Hugging Face’s Clem Delangue
Open source AI is booming, according to Hugging Face CEO Clem Delangue. The company has grown into something like a GitHub for AI in recent years, where AI builders can share and download open models and datasets, now used by roughly half the Fortune 500. Delangue has seen the same story play out again and again: companies start […]
Open source AI is booming, according to Hugging Face CEO Clem Delangue . The company has grown into something like a GitHub for AI in recent years, where AI builders can share and download open models and datasets, now used by roughly half the Fortune 500. Delangue has seen the same story play out again and again: companies start out on frontier APIs, but as they scale, the costs push them towards open source models.
On this episode of TechCrunch’s Equity podcast, Rebecca Bellan talked to Delangue about why the open vs closed source fight matters in the wake of Anthropic’s halted Fable release, and why he’s worried about the possibility that a handful of big companies could end up controlling everything.
Listen to the full episode to hear more about:
How Chinese labs are producing the majority of open models being downloaded in the U.S., and why Delangue thinks that’s a problem worth fixing rather than a reason to distrust open source itself.
How Hugging Face is choosing capital efficiency over the usual Silicon Valley fundraising playbook, including why the company turned down a large investment from Nvidia last year.
Why he sees robotics as an even more urgent case for open, transparent AI than chatbots or coding tools, given how much of your home and family life a robot ends up seeing.
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Rebecca Bellan is a senior reporter at TechCrunch where she covers the business, policy, and emerging trends shaping artificial intelligence. Her work has also appeared in Forbes, Bloomberg, The Atlantic, The Daily Beast, and other publications.
You can contact or verify outreach from Rebecca by emailing rebecca.bellan@techcrunch.com or via encrypted message at rebeccabellan.491 on Signal.
Theresa Loconsolo is an audio producer at TechCrunch focusing on Equity, the network’s flagship podcast. Before joining TechCrunch in 2022, she was one of 2 producers at a four-station conglomerate where she wrote, recorded, voiced and edited content, and engineered live performances and interviews from guests like lovelytheband. Theresa is based in New Jersey and holds a bachelors degree in Communication from Monmouth University. You can contact or verify outreach from Theresa by emailing theresa.loconsolo@techcrunch.com .
You can contact or verify outreach from Theresa by emailing theresa.loconsolo@techcrunch.com .
You can contact or verify outreach from Theresa by emailing theresa.loconsolo@techcrunch.com .
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Key takeaways
- Open source in AI can democratize access to technologies and foster innovation in Brazil.
- The concentration of power in large companies is a concern that could impact the ethical development of AI in the country.
- The production of open models by international labs represents both a challenge and an opportunity for Brazil.
Editorial analysis
The rise of open source in artificial intelligence, as highlighted by Clem Delangue, CEO of Hugging Face, is a phenomenon that deserves special attention in Brazil. The country, which already has a growing AI startup ecosystem, can greatly benefit from the democratization of access to open models and datasets. This not only lowers entry barriers for new developers and companies but also fosters innovation through collaboration and knowledge sharing. In a landscape where large corporations dominate the market, the opening of resources can be a competitive advantage for Brazilian startups.
Moreover, Delangue's concern about the concentration of power in the hands of a few companies is a relevant warning for Brazil, where the technology market still faces challenges related to regulation and data protection. The discussion about transparency and ethics in AI is increasingly pertinent, especially in a country that seeks to establish itself as a technology hub in Latin America. The ability to develop AI solutions in an open and collaborative manner could be a crucial step towards building a healthier and more diverse ecosystem.
Another point to watch is the production of open models by Chinese labs, which, according to Delangue, represents a challenge that needs to be addressed. For Brazil, this could mean an opportunity to position itself as a relevant player in the creation and dissemination of AI technologies, promoting local research and development. Investment in education and training in AI will be essential for the country to not only consume but also produce knowledge and innovations in this area.
Finally, Hugging Face's choice of a capital efficiency approach, rather than following the traditional Silicon Valley fundraising path, could serve as a model for Brazilian companies. The pursuit of financial sustainability and responsible innovation may be a safer and more viable path for startups in a constantly evolving market. The future of AI in Brazil may depend on the sector's ability to adapt to these new realities and seize the opportunities that open source offers.
What this coverage includes
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- Editorial framing about relevance, impact, and likely next developments.
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Original source:
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