High Signal Podcasts Evidence ledger
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Public evidence record

Jeremy Howard

Published podcast speaker

Claims
39
Episodes
3
Shows
2
Named items
4

Books, apps, and tools

The evidenced stack.

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app / uses

Anki

“And I really noticed this that I used Anki, and because it was always scheduling my cards just before I was about to forget them, it was always incredibly hard work.”

Machine Learning Street Talk · 3 Mar 2026

Evidence receipt · Source ↗

tool / uses

Solveit

“It's like for me, when I use Solveit, it's the opposite of that experience you described with Claude Code. After a couple of hours, I feel energized and happy and fulfilled.”

Machine Learning Street Talk · 3 Mar 2026

Evidence receipt · Source ↗

app / uses

Solveit

“It's about, like, creating an environment where humans can grow and engage and share. It's like for me, when I use Solveit, it's the opposite of that experience you described with Claude Code.”

Machine Learning Street Talk · 3 Mar 2026

Evidence receipt · Source ↗

paper / uses

ULM Fit

“And then I read ULM Fit and turns out it did work. And so I did it, you know, bigger and it worked even better.”

Latent Space · 19 Oct 2023

Evidence receipt · Source ↗

Claim ledger

What Jeremy said.

8 transcript-backed records

02 / recommendation

I'm a huge fan of taking a model that's incredibly flexible, and then making it more constrained, not by decreasing the size of architecture, but by adding regularization.

“I'm a huge fan of taking a model that's incredibly flexible, and then making it more constrained, not by decreasing the size of architecture, but by adding regularization.”
Speaker
Jeremy Howard
Publisher
Machine Learning Street Talk

05 / recommendation

Once you've outgrown, or if you outgrow that, it's not like, okay, throw that all away and start again. And this like whole separate language that it's like this kind of smooth, gentle path that you can take step-by-step because it's all just standard web foundations all the way, you know.

“Once you've outgrown, or if you outgrow that, it's not like, okay, throw that all away and start again. And this like whole separate language that it's like this kind of smooth, gentle path that you can take step-by-step because it's all just standard web foundations all the way, you know.”
Speaker
Jeremy Howard
Publisher
Latent Space

06 / recommendation

You know, work with vision, work with tables of data, work with kind of recommendation systems and collaborative filtering and work with text, because we felt like those four kind of modalities covered a lot of the stuff that, you know, are useful in real life.

“You know, work with vision, work with tables of data, work with kind of recommendation systems and collaborative filtering and work with text, because we felt like those four kind of modalities covered a lot of the stuff that, you know, are useful in real life.”
Speaker
Jeremy Howard
Publisher
Latent Space
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