Clem Delangue discusses the competitive advantages of companies that build their own ML models rather than just applying third-party AI.
What-if
Delangue: AI Would Be Decades Behind Without Five Years of Open Source
“If you know, remove the open source from that equation, if they wouldn't have been as much open source at As there's been in the five past five years, we would be like decades away from, you know, where, where we are now.”
Insight
Open-source AI prevents bias better than closed labs, argues Delangue
“Building in the open with open source is actually
more part of the solution than part of the problem, because obviously control of power as you democratize it much more and biases you actually include in the process.
People who are impacted by these biases,…”
Opinion
GitHub probably sold to Microsoft too early, argues Delangue
“So when you talk about, you know, money in GitHub for me, like the, if there was a mistake, it's probably to have sold it too, too early to Microsoft.”
Prediction Not checkable as stated
Delangue: Open-source and proprietary AI will both permanently coexist
“The truth is that there's always going to be both, right? I think if you see most, most technologies, you know, if you look at search, you always have the elastic search, the Algolia, or like, if you look at databases, you have that MongoDB and the proverter a…”
Insight
Developer platforms like Hugging Face become gateways for compute and infrastructure
“When you get so much usage, so much network effects, and you actually like for a lot of these projects, you are like the starting point. Of projects like the same way. I think probably companies are starting on GitHub to see the open source projects before sta…”
Disclosure
Delangue: Hugging Face dedicates 30% to 40% of effort to exploration
“What we've always done and I think we'll always do with hugging face is to make sure that, you know, Whenever, always kind of like make sure to spend at least like 30 or 40% of the company's efforts on explorating new things and kind of like finding the long-t…”