deep learning

4 statements across 4 episodes · 2 bullish · 1 bearish · 4 people on the record · first statement Oct 20, 2023 by Jeremy Howard · across every show →

Everything said about deep learning, oldest first

Oct 20, 2023
Assertion Supported
Howard: Enlitic was the first company to use deep learning in medicine
“Yeah, I was actually the first company to use deep learning in medicine, so I kind of founded the field.”
Jeremy Howard Oct 20, 2023 ▶ 3:28 The End of Finetuning — with Jeremy Howard of Fast.ai
Jun 25, 2024 negative
Insight
Frankle: Deep learning log scales can make trends look however you want
“Anything can look however you want it to look if you put it on a log scale to a certain extent. And log, we love our log scales and deep learning for various reasons. Everything looks very clean on a log scale until everything looks very flat on a log scale.”
Jonathan Frankle Jun 25, 2024 ▶ 57:27 State of the Art: Training 70B LLMs on 10,000 H100 clusters
Oct 2, 2025 positive
Insight
Field: Deep learning was necessary to achieve 100% in visual generation
“Some more computational photography, you know, plus on blending and some of these early techniques that you kind of get like 85% of the way there to something awesome, but not a hundred percent. And it wasn't until, you know, we really had deep learning that y…”
Dylan Field Oct 2, 2025 ▶ 2:35 Taste is your Moat (Dylan Field of Figma)
Nov 2, 2025 positive
Insight
Rumbelow: Multimodal analysis is impossible without fine labeling or interpretability
“It's largely impossible to do good data analysis on multimodal data of this kind, unless you have really fine grained labeling of your images. For example, which is just very, very burdensome, but obviously deep learning, we can let the model figure out its ow…”
Jessica Rumbelow Nov 2, 2025 ▶ 25:04 ⚡️Automating Scientific Discovery - Jessica Rumbelow, Leap Labs
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 200 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.