Jonathan Frankle

5 statements across 2 episodes · 2 bullish · 3 bearish · 2 people on the record · first statement Jun 25, 2024 by Jonathan Frankle · said 13 times in 3 episodes since 2023 · across every show →

On the record as a speaker too: Jonathan Frankle's record, appearances and statements → this page counts the times other people say the name.

Mentions by year

brought up most by Alessio Fanelli (5), Shawn Wang (4)

tap a year for its mentions
0051102202320242025episodesmentions
012202320242025episodes it came up in
002.5152202320242025episodesmentions per episode
2025 9 mentions in 2 episodes 5 per episode
2023 4 mentions in 1 episode

every mention, scene by scene, with the transcript →

Everything said about Jonathan Frankle, oldest first

Jun 25, 2024 negative
Assertion Not checkable as stated
Frankle: PDF parsing remains an unsolved problem in 2024
“PDF parsing is still an unsolved problem, even in 20, 24.”
Jonathan Frankle Jun 25, 2024 ▶ 1:21:43 State of the Art: Training 70B LLMs on 10,000 H100 clusters
Jun 25, 2024 positive
Insight
Frankle: Top AI scientists must tolerate broken infrastructure and imperfect evals
“Like the most successful scientists I see are the ones who are okay operating in a world where everything's going to be broken. And yet we can still cobble things together and make something interesting happen.”
Jonathan Frankle Jun 25, 2024 ▶ 1:07:46 State of the Art: Training 70B LLMs on 10,000 H100 clusters
Jun 25, 2024 negative
Assertion Not checkable as stated
Frankle: No Databricks enterprise customer asks for abstract reasoning AI
“I don't think I have a single customer that's asking to, you know, have AI solve abstract reasoning problems.”
Jonathan Frankle Jun 25, 2024 ▶ 1:13:34 State of the Art: Training 70B LLMs on 10,000 H100 clusters
Jun 25, 2024 positive
Assertion Not checkable as stated
Frankle: Text-to-SQL is one of the most impactful LLM use cases for enterprise
“Like it's, you know, text to SQL is still, or like having a model be able to make SQL calls in the backend is actually like one of the single most useful things for my customers. It sounds really boring. Models are really good at it and it moves the needle day…”
Jonathan Frankle Jun 25, 2024 ▶ 1:22:12 State of the Art: Training 70B LLMs on 10,000 H100 clusters
Aug 29, 2025 negative
Insight
Morcos: Lottery ticket initializations fail because they are data dependent
“We actually found out that the problem was that the lottery ticket was actually data dependent. And that was where the fundamental problem came. That as soon as you change the data distribution a little bit, like the winning tickets changed in a really big way…”
Ari Morcos Aug 29, 2025 ▶ 1:01:14 Better Data is All You Need — Ari Morcos, Datology
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.