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David Hsu

Published podcast speaker

Claims
15
Episodes
1
Shows
1
Named items
0

Claim ledger

What David said.

15 transcript-backed records

01 / evaluation

And so I think we're, we personally are in a really fortunate place. But if you know, you're working in the space and want to find some use cases, please come talk to us like, you know, we're really excited about marrying sort of technology with use cases, which I think is actually really hard to do right now.

“And so I think we're, we personally are in a really fortunate place. But if you know, you're working in the space and want to find some use cases, please come talk to us like, you know, we're really excited about marrying sort of technology with use cases, which I think is actually really hard to do right now.”
Speaker
David Hsu
Publisher
Latent Space

02 / evaluation

And so, for us, in retrospect, you know, to answer your question, two years later, we did not predict, you know, the crash, if you will. But given that, I think we've done extremely well, mostly because our valuation is not sky high.

“And so, for us, in retrospect, you know, to answer your question, two years later, we did not predict, you know, the crash, if you will. But given that, I think we've done extremely well, mostly because our valuation is not sky high.”
Speaker
David Hsu
Publisher
Latent Space

05 / belief

However, we do think that, you know, if you think about it from a first person's way, if your only method of like coding is literally copy pasting, you know, off of chat GPT, or like, you know, it's pressing tab and copilot, I think that would be concerning.

“However, we do think that, you know, if you think about it from a first person's way, if your only method of like coding is literally copy pasting, you know, off of chat GPT, or like, you know, it's pressing tab and copilot, I think that would be concerning.”
Speaker
David Hsu
Publisher
Latent Space

06 / belief

I think he was very helpful and sort of wanted to help founders. But besides that, I mean, I think we were so overwhelmed by the fact that we had to go build a startup that we were not, you know, honestly paying too much attention to everyone else's partner taking notes on them.

“I think he was very helpful and sort of wanted to help founders. But besides that, I mean, I think we were so overwhelmed by the fact that we had to go build a startup that we were not, you know, honestly paying too much attention to everyone else's partner taking notes on them.”
Speaker
David Hsu
Publisher
Latent Space

07 / uncertainty

I honestly am not sure if like the operation, we're gonna have much of a, like, if they accept or reject it, I don't know what's gonna change the outcome, if you will.

“I honestly am not sure if like the operation, we're gonna have much of a, like, if they accept or reject it, I don't know what's gonna change the outcome, if you will.”
Speaker
David Hsu
Publisher
Latent Space

08 / evaluation

Morgan Chase, and I've replaced them with an AI chatbot. It's kind of hard to imagine, right, because, like, the employees are doing a lot of things besides, you know, just, you know, generating, you know, maybe another way of putting it is like, chat is like a reactive interface, like, it's like, when you have an issue, you will go reach out to chat and chatbot solve it.

“Morgan Chase, and I've replaced them with an AI chatbot. It's kind of hard to imagine, right, because, like, the employees are doing a lot of things besides, you know, just, you know, generating, you know, maybe another way of putting it is like, chat is like a reactive interface, like, it's like, when you have an issue, you will go reach out to chat and chatbot solve it.”
Speaker
David Hsu
Publisher
Latent Space

09 / evaluation

I'm saying, but honestly, last year, like United States, again, and I think there are slightly more use cases, but still not substantially more. And I think as far as we can tell, a lot of the surveys, especially some of the comments that we saw, do feel like the companies are investing quite a bit in AI, and they're not sure where it's going to go yet.

“I'm saying, but honestly, last year, like United States, again, and I think there are slightly more use cases, but still not substantially more. And I think as far as we can tell, a lot of the surveys, especially some of the comments that we saw, do feel like the companies are investing quite a bit in AI, and they're not sure where it's going to go yet.”
Speaker
David Hsu
Publisher
Latent Space

10 / evaluation

For us, actually, we were planning on asking very similar questions because for us, the value of the survey is mostly seeing changes over time and understanding like, okay, wow, for example, GPT-4 Turbo MPS has declined.

“For us, actually, we were planning on asking very similar questions because for us, the value of the survey is mostly seeing changes over time and understanding like, okay, wow, for example, GPT-4 Turbo MPS has declined.”
Speaker
David Hsu
Publisher
Latent Space

11 / preference

Now, however, where we are right now is I think GPT-4 so far in terms of performance and I would say a model performance is so important right now because like the average, I'm not going to argue LLAMA-2 is actually so far behind, but like customers don't want to use LLAMA-2 because it's so far behind right now.

“Now, however, where we are right now is I think GPT-4 so far in terms of performance and I would say a model performance is so important right now because like the average, I'm not going to argue LLAMA-2 is actually so far behind, but like customers don't want to use LLAMA-2 because it's so far behind right now.”
Speaker
David Hsu
Publisher
Latent Space

12 / preference

So actually when Retwelf first started, we started mostly by doing sales, actually. And the reason we started by doing sales was mostly because we weren't sure whether we had product-market fit and sales seemed to be the best way of proving whether we had product-market fit out.

“So actually when Retwelf first started, we started mostly by doing sales, actually. And the reason we started by doing sales was mostly because we weren't sure whether we had product-market fit and sales seemed to be the best way of proving whether we had product-market fit out.”
Speaker
David Hsu
Publisher
Latent Space

13 / preference

Because like, you know, the AI is wrong, like, you know, 2% of the time, but then you like, you know, a score, if you let's say, you know, raise to the power seven, for example, that's actually wrong, you know, quite often, for example. And so what we've actually done with workflows is we prefer, we've learned, actually, is that we don't want to generate the whole workflow for you by AI.

“Because like, you know, the AI is wrong, like, you know, 2% of the time, but then you like, you know, a score, if you let's say, you know, raise to the power seven, for example, that's actually wrong, you know, quite often, for example. And so what we've actually done with workflows is we prefer, we've learned, actually, is that we don't want to generate the whole workflow for you by AI.”
Speaker
David Hsu
Publisher
Latent Space

15 / evaluation

I think exactly you said is correct, where we raise less money at a lower valuation. And I think the funny thing about this is that when we first announced that, even, you know, internally and both externally, I think people were really surprised, actually, because I think Silicon Valley has been conditioned to think, well, raising a giant sum of money at a giant valuation is a really good thing.

“I think exactly you said is correct, where we raise less money at a lower valuation. And I think the funny thing about this is that when we first announced that, even, you know, internally and both externally, I think people were really surprised, actually, because I think Silicon Valley has been conditioned to think, well, raising a giant sum of money at a giant valuation is a really good thing.”
Speaker
David Hsu
Publisher
Latent Space
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