Speakers in the public record
Claim mix
evaluation 4recommendation 3prediction 3observation 2belief 2preference 2
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
The useful parts, with receipts.
16 published records
“It's just the complexity on our screens just keeps growing and the whole environment gets kind of more out of sync with what makes us like cognitively productive and engaged. And then even something like Dash was initially seeded, I made a little personal search engine because I was just like personally frustrated with not being able to find my stuff.”
- Publisher
- Latent Space
“You know, I think even today people will tell you, oh, models are not really good at X because they were not good 12 months ago, but they're good today.”
- Publisher
- Latent Space
“Now the problem is the same, the shape of the problem and the shape of the solution is pretty different.”
- Publisher
- Latent Space
“Both. So I use VS Code as like my daily driver, although I'm like super excited about things like Cursor or the AI agents.”
- Publisher
- Latent Space
“How do you think about the importance of storage and like, do you kind of feel storage is like almost solved, where it's like, hey, you can kind of store these files anywhere, what matters is like access.”
- Publisher
- Latent Space
“I think maybe a lot of people say, hey, things change so quickly, they're like trying to abstract things.”
- Publisher
- Latent Space
“You obviously run Dropbox, which is a huge company, but you also do a lot of coding. I think that's how you spend almost 400 hours, just like coding.”
- Publisher
- Latent Space
“You have a lot of companies that sound the same, but like none of them are really working. So obviously the problem is not solved.”
- Publisher
- Latent Space
“I think today it's almost like, hey, if I can use Dash to like access my Google Drive file, why would I pay Google for like their AI feature?”
- Publisher
- Latent Space
“Everybody sort of party that everybody could, you know, come to some downsides of that security. But I think, you know, the advent of AI, I think there's a real question, like given the capital intensity of what it takes to train these foundation models, like are we going to live in a world where oligopoly or cartel or all, you know, there's a few companies that have the keys and we're all just like paying them rent.”
- Publisher
- Latent Space
“And then absolutely, like we have products like Dropbox Dash, which is our universal search product. That was like very elevated in priority for me after COVID because like now you have, we're putting a lot more stress on the system and on our screens, it's a lot more chaotic and overwhelming.”
- Publisher
- Latent Space
“Or, you know, maybe if we create AGI that will sort of solve the rest of the, or we'll just have a different set of things to worry about. But, you know, the simplest way I think about it is like this is sort of a rent not buy phase because, you know, I wouldn't want to be, we're still so early in the maturity, you know, I wouldn't want to be buying like pallets of over like of 286s at a 5x markup when like the 386 and 486 and Pentium and everything are like clearly coming there around the corner.”
- Publisher
- Latent Space
“Because we don't really want our customers to be thinking like, well, do I use Dash or do I use co-pilot?”
- Publisher
- Latent Space
“Maybe the bigger picture is like, it's super exciting to talk about the LLM and like that piece of the puzzle, but there's this whole other scaffolding of more conventional like retrieval or conventional machine learning, especially because you have to scale up products to like millions of people you do in your toy app is not going to scale to that from a cost or latency or performance standpoint.”
- Publisher
- Latent Space
“One is that, I mean, there's a lot of like repetitive and like manual work you have to do as an executive that is actually lends itself pretty well to automation, both for like my own convenience. And then out of interest in learning, I guess what we call like classical machine learning these days, I started really trying to wrap my head around understanding machine learning and informational retrieval more, more formally.”
- Publisher
- Latent Space
“Yeah, yeah. Both. So I use VS Code as like my daily driver, although I'm like super excited about things like Cursor or the AI agents. I have my own like stack underneath that. I mean, some off the shelf parts, some pretty custom. So I use the continue.dev just like AI chat UI basically as just the UI layer, but I also proxy the request.”
- Publisher
- Latent Space