app / uses
Claude
“We have some very early agents that are extremely impressive and that I use daily—Claude and Codex and so on—but I still feel there’s so much work to be done.”
Public evidence record
Andrej Karpathy
Researcher · Eureka Labs
- Claims
- 38
- Episodes
- 1
- Shows
- 1
- Named items
- 3
Books, apps, and tools
The evidenced stack.
app / uses
Codex
“We have some very early agents that are extremely impressive and that I use daily—Claude and Codex and so on—but I still feel there’s so much work to be done.”
course / built
CS231n
“Earlier on, I built CS231n at Stanford, which I think was the first deep learning class at Stanford, which became very popular.”
Claim ledger
What Andrej said.
2 transcript-backed records
01 / observation
The way to synchronize gradients between them is to use a Distributed Data Parallel container of PyTorch, which automatically as you’re doing the backward, it will start communicating and synchronizing gradients.
“The way to synchronize gradients between them is to use a Distributed Data Parallel container of PyTorch, which automatically as you’re doing the backward, it will start communicating and synchronizing gradients.”
- Speaker
- Andrej Karpathy
- Publisher
- Dwarkesh Podcast
02 / observation
The first concession that people make all the time is they just take out all the physical stuff because we’re just talking about digital knowledge work.
“The first concession that people make all the time is they just take out all the physical stuff because we’re just talking about digital knowledge work.”
- Speaker
- Andrej Karpathy
- Publisher
- Dwarkesh Podcast