01 / belief
I think the most exciting part is just we're writing a lot of blog posts right now.
“I think the most exciting part is just we're writing a lot of blog posts right now.”
- Speaker
- Jonathan Frankle
- Publisher
- Latent Space
Public evidence record
Published podcast speaker
Claim ledger
21 transcript-backed records
01 / belief
“I think the most exciting part is just we're writing a lot of blog posts right now.”
02 / uncertainty
“The flip side is I don't know of anyone who like is hiding a secret passphrase in a book and needs the model to find it.”
03 / belief
“I think Josh said it and you said it well, like code is kind of the God tool. It unlocks literally everything.”
04 / belief
“Like I think that's literally the name of a book on programming, if I remember right.”
05 / belief
“You know, I think the joke is Databricks has been 18 months away from IPO for five years.”
06 / belief
“I think the real question is, you know, releasing models open source is not our day-to-day bread and butter.”
07 / belief
“Take a different tactic, which is, like, at the end of the day at Databricks, I have 12,000 customers, or I think that's the latest number, all of whom are trying to do something with, you know, LLMs or AI or machine learning.”
08 / evaluation
“I spend a lot of time thinking about RAG these days. And RAG, you know, in one sense, you know, the way that I think about RAG is it's the world's simplest agent.”
09 / preference
“Like, I'm very happy with my little SQL bot and building 12,000 of those because they're moving the needle for a lot of folks every day.”
10 / belief
“Um, but you know, he had to let that one out publicly. And then I believe there was a YouTube video where someone happened to see it mentioned before the model came out and called it the Long G boy or something like that.”
11 / belief
“You know, so stay balanced and follow the science. I think that's really, that's what we try to do around Mosaic.”
12 / uncertainty
“Um, so Sasha better be very generous to me cause it's possible that could change, but at the end of the day, we're still doing Transformers the way, you know, Vaswani had all intended back six years ago now, so, I don't know, things.”
13 / belief
“I, you know, I even, even though I think there are papers that, you know, did not hold up under scrutiny, I don't think any of this was out of malice.”
14 / belief
“We have to know that we can do something great if customers are gonna do something great. And one too many people may have challenged me on Twitter about the fact that, you know, mosaic claims all these amazing numbers, but, you know, I believe not to, you know, call out Ross Whiteman here, but, you know, I believe he said at some point, you know, show us the pudding.”
15 / belief
“Um, that's really, if I learned one thing teaching at a law school, it was that I'm not a lawyer and all this stuff is a little complicated, especially open source licenses were not designed for this kind of world.”
16 / belief
“I think I'm, I'm still in my heart, the second year grad student who was jealous of all his friends who had GPUs and he didn't, and I couldn't train any models except in my laptop.”
17 / belief
“Um, and it's, I think, one of the commenters, you know, I really appreciated this said, you know, well, they're trying to do the right thing, but nobody knows what the right thing is to even do, you know, the, I guess the, the most right thing would've been to literally not release a model at all.”
18 / evaluation
“And I, I do think the vibe based eval cannot be, you know, underrated really at the, I mean, at the end of the day we, we did stop our models and do vibe checks and we did, as we monitor our models, one of our evals was we just had a bunch of prompts and we would watch the answers as the model trained and see if they changed cuz honestly, You know, I don't really believe in any of these eval metrics to capture what we care about.”
19 / preference
“I don't like to follow the hype. I like to see what sticks around, what people actually manage to build off of.”
20 / evaluation
“Um, boy inference, that's a whole second thing, and a whole different animal from training. And at the end of the day, when we founded the company, our belief was that inference was relatively well served at that time.”
21 / commitment
“We're very small and I, I can't promise we're gonna do what those labs used to do in terms of scale or quantity of research, but we will share what we learn and we will try to create resources for the community.”