Mike Krieger

like Siri++. I think that's a hard place to be.

Yeah. It's not on my mind for any kind of near-term thing. I'm very curious to see. I haven't gotten access to it probably for good reasons, although I know Kevin real pretty well. I should just call him. So I haven't gotten to play with it. But that space of the perplexities, search, chat, GPT search? I forgot how they actually brand it. Search GPT. Search GPT.

Yeah. It's not on my mind for any kind of near-term thing. I'm very curious to see. I haven't gotten access to it probably for good reasons, although I know Kevin real pretty well. I should just call him. So I haven't gotten to play with it. But that space of the perplexities, search, chat, GPT search? I forgot how they actually brand it. Search GPT. Search GPT.

Yeah. It's not on my mind for any kind of near-term thing. I'm very curious to see. I haven't gotten access to it probably for good reasons, although I know Kevin real pretty well. I should just call him. So I haven't gotten to play with it. But that space of the perplexities, search, chat, GPT search? I forgot how they actually brand it. Search GPT. Search GPT.

Yeah, I mean, it ties back to the very beginning of our conversation, which is search engines in the world of summarization and citations, but... you know probably fewer clicks and where does that end up you know how does that all tie together and connect and and it's less core i would say to what we're trying to do

Yeah, I mean, it ties back to the very beginning of our conversation, which is search engines in the world of summarization and citations, but... you know probably fewer clicks and where does that end up you know how does that all tie together and connect and and it's less core i would say to what we're trying to do

Yeah, I mean, it ties back to the very beginning of our conversation, which is search engines in the world of summarization and citations, but... you know probably fewer clicks and where does that end up you know how does that all tie together and connect and and it's less core i would say to what we're trying to do

I think we have a really good shot there. The two places that most recently this came up, one was we are current like LLMs will oftentimes try to do math. Sometimes they actually are, especially given the architecture, impressively good at math, but not always. And especially not when it comes to like higher order things or even things like counting letters and words.

I think we have a really good shot there. The two places that most recently this came up, one was we are current like LLMs will oftentimes try to do math. Sometimes they actually are, especially given the architecture, impressively good at math, but not always. And especially not when it comes to like higher order things or even things like counting letters and words.

I think we have a really good shot there. The two places that most recently this came up, one was we are current like LLMs will oftentimes try to do math. Sometimes they actually are, especially given the architecture, impressively good at math, but not always. And especially not when it comes to like higher order things or even things like counting letters and words.

I think you could actually get there. And so one tweak we've made recently is just helping Cloud, at least on Cloud AI, recognize when it is more in that situation and explain its shortcomings. Is it perfect? No, but it significantly improved that particular thing. Because from an enterprise, then this came directly from an enterprise customer that said, hey, I was trying to do some CSV parsing.

I think you could actually get there. And so one tweak we've made recently is just helping Cloud, at least on Cloud AI, recognize when it is more in that situation and explain its shortcomings. Is it perfect? No, but it significantly improved that particular thing. Because from an enterprise, then this came directly from an enterprise customer that said, hey, I was trying to do some CSV parsing.

I think you could actually get there. And so one tweak we've made recently is just helping Cloud, at least on Cloud AI, recognize when it is more in that situation and explain its shortcomings. Is it perfect? No, but it significantly improved that particular thing. Because from an enterprise, then this came directly from an enterprise customer that said, hey, I was trying to do some CSV parsing.

I'd rather you give me the Python to go analyze the CSV than try to do it yourself because I don't trust that you're going to do it right yourself. So I think on the data analysis, code interpretation, that front, I think it's a combination of having the tools available. LLMs are very smart. Sorry, humans. I still use calculators all the time.

I'd rather you give me the Python to go analyze the CSV than try to do it yourself because I don't trust that you're going to do it right yourself. So I think on the data analysis, code interpretation, that front, I think it's a combination of having the tools available. LLMs are very smart. Sorry, humans. I still use calculators all the time.

I'd rather you give me the Python to go analyze the CSV than try to do it yourself because I don't trust that you're going to do it right yourself. So I think on the data analysis, code interpretation, that front, I think it's a combination of having the tools available. LLMs are very smart. Sorry, humans. I still use calculators all the time.

In fact, over time, I feel like I get worse at mental math and like rely on those even more. So I think there's a lot of value to, hey, give it tools, teach it to use tools, which is a lot of what the research team focuses on. And then really emphasize the time where like, yeah, I know you think you can do this.

In fact, over time, I feel like I get worse at mental math and like rely on those even more. So I think there's a lot of value to, hey, give it tools, teach it to use tools, which is a lot of what the research team focuses on. And then really emphasize the time where like, yeah, I know you think you can do this.

In fact, over time, I feel like I get worse at mental math and like rely on those even more. So I think there's a lot of value to, hey, give it tools, teach it to use tools, which is a lot of what the research team focuses on. And then really emphasize the time where like, yeah, I know you think you can do this.

The joke I do is, like, the CSV version is, like, yeah, I can eyeball a column of numbers and give you, like, my average. It's probably not going to be perfectly right. So I'd rather, like, use the, you know, average function. So that's on the data front.