tool / uses
Clip
“But like the earlier prototypes was mostly like I used like Clip.”
Public evidence record
Karina Nguyen
Published podcast speaker
- Claims
- 36
- Episodes
- 2
- Shows
- 2
- Named items
- 1
Books, apps, and tools
The evidenced stack.
Claim ledger
What Karina said.
4 transcript-backed records
01 / preference
And then you need to have a trade-off between what methods you want to use. And the reason why I really love relying purely on synthetic data instead of collecting data from humans is because it's much more scalable, it's cheap, less than half.
“And then you need to have a trade-off between what methods you want to use. And the reason why I really love relying purely on synthetic data instead of collecting data from humans is because it's much more scalable, it's cheap, less than half.”
- Speaker
- Karina Nguyen
- Publisher
- Lenny's Podcast
02 / preference
And the most robust evals is the one where prompted baselines get the lowest score or something. And then because then you know if you're trained a good model, then it should just hill climb on that eval all the time, while not also regressing on other intelligence evals.
“And the most robust evals is the one where prompted baselines get the lowest score or something. And then because then you know if you're trained a good model, then it should just hill climb on that eval all the time, while not also regressing on other intelligence evals.”
- Speaker
- Karina Nguyen
- Publisher
- Lenny's Podcast
03 / preference
When I first came to Anthropic and I was like, "Oh my God, I really love front-end engineering." And then the reason why I switched to research is because I realized, "Oh my God, Claude is getting better at front-end.
“When I first came to Anthropic and I was like, "Oh my God, I really love front-end engineering." And then the reason why I switched to research is because I realized, "Oh my God, Claude is getting better at front-end.”
- Speaker
- Karina Nguyen
- Publisher
- Lenny's Podcast
04 / preference
Like we don't know how each other's like working style, like what I prefer, what do they prefer, how do they prefer to communicate, et cetera, et cetera.
“Like we don't know how each other's like working style, like what I prefer, what do they prefer, how do they prefer to communicate, et cetera, et cetera.”
- Speaker
- Karina Nguyen
- Publisher
- Latent Space