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Published · transcript-backed

Jonathan Frankle: belief

20 May 2023 Latent Space MPT-7B and The Beginning of Context=Infinity — with Jonathan Frankle and Abhinav Venigalla of MosaicML

“You know, so stay balanced and follow the science. I think that's really, that's what we try to do around Mosaic.”

— Jonathan Frankle

Source trail

Everything needed to verify it.

Speaker
Jonathan Frankle
Attribution
Verified speaker
Claim type
belief
Recorded
20 May 2023
Publisher
Latent Space

Transcript context

…If there’s one message you want everyone. To remember when thinking about this thing. There's a lot of, you know, fear mongering. There's a lot of messaging being spread around, like, what should people think about in ai? What should be top of mind for them? I'll go for it. Which is, you know, stay balanced. They're the people who really feed into the hype or who, you know, eat up the hype. They're the people who are, you know, big pessimists or react very strongly against the hype, or to some extent are in denial. Stay balanced, embrace the fact that we've built extraordinarily useful tools. Um, but we haven't built a g I and you know, personally, I don't think we're anywhere close to that. You know, so stay balanced and follow the science. I think that's really, that's what we try to do around Mosaic. We try to focus on what's useful to people, what will, you know, hopefully make the world a better place. We try our best on that, but especially, you know, how we can follow the science and use data to be our guide, not just, you know, talk a lot, you know, try to talk through our work instead. And I would also say just kinda like research done in the open. I think like, you know, there's no computing with the, the open community, [01:06:00] right? Just in volume, the number of like, kind of eyeballs you basically have, like looking at your models at the, even at the problems with the models, at ways we improve them. Um, I just think, you know, yeah, research done in the open. It will, it will be the way forward, both to keep our models safe and to bely, like examine the consequences of these AI models like in the world.…

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