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.”
Public evidence record
Jeremy Howard
Published podcast speaker
- Claims
- 39
- Episodes
- 3
- Shows
- 2
- Named items
- 4
Books, apps, and tools
The evidenced stack.
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.”
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.”
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.”
Claim ledger
What Jeremy said.
4 transcript-backed records
01 / prediction
You know, and because deep learning models are universal learning machines, you know, and we had a universal way to train them, I figured if if we get the data right and if the hardware is good enough, then in theory, we ought to be able to build that next word predicting machine, which ought to implicitly build a hierarchical structural understanding of the things that are being described by the text that it is learning to predict?
“You know, and because deep learning models are universal learning machines, you know, and we had a universal way to train them, I figured if if we get the data right and if the hardware is good enough, then in theory, we ought to be able to build that next word predicting machine, which ought to implicitly build a hierarchical structural understanding of the things that are being described by the text that it is learning to predict?”
- Speaker
- Jeremy Howard
- Publisher
- Machine Learning Street Talk
02 / prediction
I find nearly everything that I expect to work almost always works first time, because I spend a lot of time building up those intuitions, that kind of understanding of how gradients behave.
“I find nearly everything that I expect to work almost always works first time, because I spend a lot of time building up those intuitions, that kind of understanding of how gradients behave.”
- Speaker
- Jeremy Howard
- Publisher
- Machine Learning Street Talk
03 / prediction
Sure. So, yeah, I mean, it was kind of uncomfortable because two days before Altman got fired, I did a small public video interview in which I said, I'm quite sure that OpenAI's current governance structure can't continue and that it was definitely going to fall apart.
“Sure. So, yeah, I mean, it was kind of uncomfortable because two days before Altman got fired, I did a small public video interview in which I said, I'm quite sure that OpenAI's current governance structure can't continue and that it was definitely going to fall apart.”
- Speaker
- Jeremy Howard
- Publisher
- Latent Space
04 / prediction
Yeah. And then when I came across neural nets when I was about 20, you know, what I learned about the universal approximation theorem and stuff, and I started thinking like, oh, I wonder if like a neural net could ever get big enough and take in enough data to be a Chinese room experiment.
“Yeah. And then when I came across neural nets when I was about 20, you know, what I learned about the universal approximation theorem and stuff, and I started thinking like, oh, I wonder if like a neural net could ever get big enough and take in enough data to be a Chinese room experiment.”
- Speaker
- Jeremy Howard
- Publisher
- Latent Space