Clement Delangue
Co-Founder & CEO, Hugging Face. On 2 shows, 3 appearances, plus 2 compilation re-airs not counted. The Shows tab opens the full record on each.
Clément Delangue is the Co-Founder and CEO of Hugging Face, an AI community building platform. He has raised over $160 million for the company from investors including Sequoia, Coatue, Addition, and Lux Capital.
2shows
3appearances
69statements
14resolved
10supported
1contradicted
71%fully supported
12said about them ↓ Everything Clement Delangue said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Delangue: China is likely the current leader in open-source AI
“China has been publishing much more open source AI lately. I would argue that they're probably the leader today of open source AI which is surprising to some, but for example, in, in video, they've been leading in, in open source AI.”
Delangue: Traditional software startup rules are outdated for AI
“A lot of the things that we learn with traditional software are like outdated with AI.”
Delangue: No Single AI Model Will Dominate Because AI Resembles Codebases
“In the simplistic terms, the model or like AI is like a code base, right? It's a bit different, but at the end of the day, it's a code base, right? And so it's kind of silly to say, oh, this code base is better than this code base, or there's going to be one c…”
Delangue: Using AI APIs Is Like Building Websites on Squarespace
“The analogy that I sometimes like is that on the early days of the web, you could use kind of like something that would Create a website for you, right? You could use the equivalent of a Squarespace or for weeks, and that would make you feel good, right? Becau…”
Delangue: AI Is Far From Becoming Autonomous or Humanity-Destroying
“I believe at the same time, we are very far from a world where AI is autonomous. And has conscience and is taking over the world and destroying humanity. I think this is more fear that is very sci-fi driven that we're very far from.”
Delangue: 95% of a VC's Value Is Financial Capitalization and Support
“Investors are first and foremost investors, right? Meaning that their main value add is to deal around To help you on financial matters. So for example, when SVB go down, right? And then to help you to always capitalize the company the right way. So they're, i…”
Delangue: VCs Should Not Act Like Operators or CEOs
“They sometimes act almost as CEO or, like, operators for companies. Which in, in my opinion is, is not really their job. And worse than that, I feel like sometimes entrepreneurs are building companies for investors and investors are behaving like entrepreneurs…”
Delangue: Open-source AI leads closed-source in most text applications
“Open source is actually heads of, closed source for most of the text applications today, especially when you have, like, a very specific, narrow use case.”
Delangue: AI regulation should address present risks, not doomsday scenarios
“In general, for me, I'm in favor of the regulations that are creating more competition, more opportunities for everyone to build with AI, and tackling some of the end user risks of AI today, like the risk of misinformation, the risk of biases. Instead of focus…”
Delangue: Every company and use case will have its own optimized model
“So the same way today, every company, every product has its own code base. Tomorrow every company, every use case is going to have its own model optimized.”
Delangue: There will ultimately be more AI builders than software engineers
“I think ultimately there's going to be more AI builders than software engineers, right?”
Clément Delangue: Deep AI Startups Can Execute 100x Better Than Incumbents
“I think if you were thinking about AI as AI APIs, I agree. If you're thinking of AI as a more radical paradigm switch to build technology, right? And if you think about an AI startup as a company that is actually training models, creating new architectures, op…”
Delangue: Startups training their own models build better products than wrappers
“If you look at models closer to Runway ML or Stability AI or like PhotoRoom in Paris, you see these AI native startups that are actually building, training their own models. And how they can, in my opinion, build much better things than the ones that just use …”
Delangue: Open Source Accelerated AI Progress by 30 to 50 Years
“Without open science, without open source, without Google sharing their attention is all you need paper, sharing their birth paper the latent diffusion paper. Maybe we would be 3040, 50 years away from where we are today.”
Delangue: Incumbents Struggle With AI Due to Long-Term Research Requirements
“Because it's a completely different way to build technology, right? It's a way where you have to have scientists, for example, working for six months on a new architecture, on a new model before releasing it. So it's a different paradigm of how you build softw…”
Delangue: The ROI on Training Larger AI Models Is Declining
“We starting to realize that more compute for models is not necessarily The right thing, or at least that it's not enough and the return on investment on training larger and larger models is starting to go down.”
Delangue: Hugging Face Refuses to Speak With External VCs Between Rounds
“One of these rules is that I don't talk to any investors external investors in between rounds, right? I'm making an exception for you today because it's a podcast, but Otherwise, I don't talk to anybody in between rounds because I feel like a lot of time it's …”
Delangue: Every Company Will Eventually Build and Run Proprietary AI Models
“I think the biggest thing is, in my opinion, all companies will have their own AI models. Like all companies will have their chat GPT or their GPT-IV.”
Delangue: Only 50 to 100 People Globally Can Train State-of-the-Art AI
“I would say, you know, machine learning engineer, and by machine learning engineer, I mean someone who's really building a new architecture for AI models and able to train state of the art models. They are just in my opinion, a few people in the world who has …”
Delangue: NLP is the most important field of machine learning
“I believe that NLP today is the most important field of machine learning.”
Delangue: AI is ending human exclusivity over natural language processing
“We're really moving from a world where only humans could do natural language, which is why you have search large customer support, sales, community, communication departments in companies.”
Delangue: Every company will use NLP within three years or face disadvantage
“I believe that in in three years, every single company in the world will use NLP. And even more than that, I believe that in three years, a company that is not using NLP will be in a systematic disadvantage compared to a company that is using NLP, because it m…”
Delangue: Collective open source can outperform tech giants like Google and Facebook
“We believe that actually if all the other companies than Facebook, Google, Apple, Amazon are actually all contributing to the same open source technology, they can actually end up with something way better than each one of these guys could build.”
The other half of the tape: Clement Delangue's own voice is left out of every number here. Other people bring the name up 12 times in 6 episodes across the shows. every mention, with the transcript →
Who brings them up most Matt Turck 6David Cahn 3Mike Mignano 1Jason Lemkin 1Harry Stebbings 1
Every mention by year
tap a year for its mentions
20VC 6
the MAD Podcast 6
2026 2 mentions in 2 episodes 1 per episode
2025 3 mentions in 1 episode
2024 6 mentions in 2 episodes 3 per episode
One line per show, most statements first. The link opens Clement's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
| MADLEDGER | Founder & CEO, Hugging Face | 2 | 46 | 70% 7/10 | full record on the MAD Podcast → |
| 20VCLEDGER | Co-Founder & CEO, Hugging Face | 1 +2 | 23 | 75% 3/4 | full record on 20VC → |