academia

4 statements across 4 episodes · 1 bullish · 2 bearish · 4 people on the record · first statement Dec 18, 2014 by Yann LeCun · across every show →

Everything said about academia, oldest first

Dec 18, 2014 neutral
Assertion Not checkable as stated
LeCun: Industry adopted deep learning faster than academia
“Industry picked up on deep learning faster than academia.”
Yann LeCun Dec 18, 2014 ▶ 29:22 Yann Lecun, Facebook // Artificial Intelligence // Data Driven #32 (Hosted by FirstMark Capital)
Mar 23, 2023 negative
Assertion Supported
Turck: Academia has completely lost the AI research battle to industry
“Academia as of now has just completely lost the battle. In AI research and development, the darker dots, and this is a long time scale at the bottom, show that in the early years of the current wave, a lot of the research came out of academia, but today it's p…”
Matt Turck Mar 23, 2023 ▶ 14:50 The 2023 MAD (Machine Learning, Artificial Intelligence & Data) Landscape
Feb 1, 2024 negative
Assertion Not checkable as stated
Duderstadt: GPU scarcity in academia is driving talent flight to industry
“And even nowadays, like, you know, it's increasingly hard to get those GPUs in academic positions. And so it's making increasing amounts of sense for, I think the flight that we're seeing from academia to industry.”
Brandon Duderstadt Feb 1, 2024 ▶ 5:53 How Nomic AI Is Driving The Open Source Revolution
May 7, 2026 positive
Assertion Not checkable as stated
OpenAI differentiated early on by prioritizing model scale over new methods
“About opening up early on is that they always had this bet on scale. In a time where I think that was looked upon very suspiciously that, oh, if you, the thought somehow that we had all the methods already, and all you had to do was scale them up that mindset …”
Zico Kolter May 7, 2026 ▶ 32:46 OpenAI Board Member Zico Kolter: Modern AI Is Just 200 Lines of Code
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