Alex Lebrun
CEO and Co-Founder, AMI Labs. On 1 show, 2 appearances. The Shows tab opens the full record on each.
founderexecutiveengineer@lxbrun ↗LinkedIn ↗nabla.com ↗
Alex Lebrun is a serial AI entrepreneur who founded VirtuOz and Wit.ai, subsequently leading engineering initiatives at Facebook AI Research. He co-founded the ambient clinical documentation company Nabla and teamed up with Yann LeCun as CEO of AMI Labs.
1shows
2appearances
41statements
9resolved
6supported
1contradicted
67%fully supported
6said about them ↓ Everything Alex Lebrun said on any show that made the record, most notable first. Each card names its show and opens the statement there.
AI Existential Risk Warnings Are Driven by Publicity Seekers
“I fully agree with Jan and not just because he was my boss at Meta, but I think if you really understand how machine learning works and you're not looking for free publicity, I don't see why you would say something like that, that, that getting more intelligen…”
Proposed EU AI Regulation Would Make All Existing LLMs Illegal
“One of the percent of the LMs that were trained these last three years would be illegal in Europe.”
A New AI Paradigm Will Displace Notion and Google Docs
“It probably something will come and destroy Notion and Google Docs and all of them with a totally new paradigm that is made possible by AI, and certainly these incumbents won't do it.”
AI Pause Petitions Are Cynical Attempts to Block Competitors
“It looks to me that the people who are proponent of this pause or to more regulation Are the ones who feel that they are in advance. And so it's like a way to say, guys, let us, we are in front. I don't want more people to start the race.”
Epic Systems Spent Millions Lobbying to Block US EHR Interoperability Laws
“Epic spent billions to millions to try to block, but it finally was after, I think, 20 years of battle was passed”
France Produces Great AI Engineers but Sucks at Scaling Companies
“In France, we are really good in we have very good AI engineers, machine learning engineers, because the education system is free, is very focused on mathematics. So we produce lots of good engineers, but we suck at growing companies.”
Europe Is 10 Years Behind the US and China in AI
“Europe is probably 10 years late compared to U.S. And China, and with a new regulation, we are probably going to take 50 years more.”
Lebrun: AI-native startups will displace incumbents across all industries within five years
“I think AI will enable a new generation of players in every industry that will kill the incumbents eventually.”
Alex LeBrun: AI Paradigms Will Eventually Displace Notion and Google Docs
“Probably something will Come and destroy Notion and Google Docs and all of them with a totally new paradigm that is made possible by AI.”
Founders Must Add or Remove 'AI' From Pitch Decks Every 3-4 Years
“As an entrepreneur, the only thing you need to know is when to add or remove AI from your deck, and it would change about every three or four years.”
Lebrun: AI application startups are not merely thin layers over LLMs
“So I think it's really not fair to think that any AI application on top of LLM is just a thin layer.”
No AI Models in Use Today Will Be Used in One Year
“Absolutely agree with that. You know, will you drive the car you drive today in 10 years? I don't think so. And 10 years in car industry is like one week in machine learning gravity zone. And so there is, of course, there is so much progress so fast That I don…”
Lebrun: Startups with billions in funding can match OpenAI's capabilities
“I think a new startup with enough talent and enough money, and when I say enough money, I'm talking about billions, just to be clear, then I'm sure you can do as, at least as well as OpenAI.”
Incentives and Legal Fears Kept Google and Meta From Leading LLMs
“Nobody could predict that LLMs would be so useful and powerful before you train one at this scale. And who in the Google org chart had the incentive to invest five hundred million dollars and just to see this without any business benefit for the company? If yo…”
Lebrun: Open-source foundational AI models will win over closed models
“Open, obviously. You know, LLM are AI in general is an infrastructure in the future, and like every infrastructure, I'm just paraphrasing Jan, but is, is open. Open wins always with infrastructure. And so obviously I think the financial, the foundational model…”
Open-Source LLMs Are Not Inherently Explainable or Transparent
“Even an open model trained with open data, to me, is not that open, because when you have, like, three hundred billion parameters, and it's a huge black box, you don't understand why the output is what it is, is it really open? And so, I'm just putting a littl…”
Lebrun: Training LLMs on Curated Data Does Not Guarantee Trustworthy Outputs
“Even if you feed an LLM with curated data, you don't, it does, it's not guaranteed that the output will be will be good, will be perfect, that you can trust the output. So, feeding an LLM with trusted data doesn't make the output trustable because of how LLM w…”
Nabla Uses Chrome Extensions to Extract Data From API-Less EHR Systems
“At Nabla, you know, we use things like Chrome extensions to get the data from the browser. There is no API. We don't care.”
Lebrun: Healthcare AI startups fail by focusing on patients over doctors
“I think the mistakes that many AI startups are doing in healthcare, and what we did initially at Nabla too, is we focused directly on the patients.”
Lebrun: Healthcare startups must identify who pays before defining the problem
“In healthcare, even starting with a problem is not enough. Start with who is paying, and then How you do frame the problem for this person to pay, and then what is the solution for this problem eventually?”
Lebrun: Believing AI chatbots are conscious is a persistent illusion
“It's that they think it's conscious, and they are influenced by the form, like, oh, perfect answer, the perfect form, and it's a chatbot, it's, it answered my question, and it's, and influenced by the form, they make conclusion on the deep inside, you know, of…”
Alex LeBrun: LLM Capabilities Could Not Be Predicted Before Scaling
“The reason is nobody could predict that LLMs would be so useful and powerful before you try to run at this scale.”
Mark Zuckerberg Cancels Meetings Missing 24-Hour Advance Prep Memos
“He prepared really well every meeting, so you have to send in advance, like a short note about why, what decision you are expecting from him. If you fail to send his document, 24 hours, you know, by the minute before your meeting gets cancelled.”
Serial Founders Face Deference Traps That Cause Uncorrected Early Mistakes
“Starting my third company after two exits, I felt like my investors were always agreed, my team always agreed people around us, and so I wasn't challenged enough, and we made some early mistakes that probably were not challenged enough.”
The other half of the tape: Alex Lebrun's own voice is left out of every number here. Other people bring the name up 6 times in 4 episodes across the shows. every mention, with the transcript →
Who brings them up most Harry Stebbings 5Rory O'Driscoll 1
Every mention by year
tap a year for its mentions
20VC 6
2026 1 mention in 1 episode
2023 5 mentions in 3 episodes 2 per episode
- Christian Kleinerman: Do OpenAI and Anthropic Have a Sustaining Moat? Who Wins the AI Wars? | E1063 · 20VC with Harry Stebbings
- Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
- Des Traynor: How to Survive and Thrive in a World of OpenAI | E1082 · 20VC with Harry Stebbings
- every mention in 2023, scene by scene →
One line per show, most statements first. The link opens Alex's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
| 20VCLEDGER | CEO and Co-Founder, AMI Labs | 2 | 41 | 67% 6/9 | full record on 20VC → |