Evidence receipt / belief
Published · transcript-backedMark Bissell: belief
6 Feb 2026 Latent Space The First Mechanistic Interpretability Frontier Lab — Myra Deng & Mark Bissell of Goodfire AI
“I think that’s certainly like the domain of, of problems that we’re, that we’re looking to get.”
Source trail
Everything needed to verify it.
- Speaker
- Mark Bissell
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 6 Feb 2026
- Publisher
- Latent Space
Transcript context
…Depends, I guess, on how you. Okay. So I, I, I viewed that double descent as a problem because then you’re like, well, if the loss curves level out, then you’re done, but maybe you’re not done. Right. Right. But like, if you actually can interpret what is a generalizing or what you’re doing. What is, what is still changing, even though the loss is not changing, then maybe you, you can actually not view it as a double descent problem. And actually you’re just sort of translating the space in which you view loss and like, and then you have a smooth curve. Yeah. I think that’s certainly like the domain of, of problems that we’re, that we’re looking to get. Yeah. To me, like double descent is like the biggest thing to like ML research where like, if you believe in scaling, then you don’t need, you need to know where to scale. And. But if you believe in double descent, then you don’t, you don’t believe in anything where like anything levels off, like.…
Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.