High Signal Podcasts Evidence ledger
Method
Browse

Public evidence record

Shawn Wang

Host · Latent Space

Claims
500
Episodes
64
Shows
1
Named items
20

Books, apps, and tools

The evidenced stack.

Browse the grouped index →

app / likes

Spark

“Um, the only thing I like out of, out of Codex is the, is like Spark and like yeah.”

Latent Space · 23 Apr 2026

Evidence receipt · Source ↗

app / uses

Bank of America

“Yeah. I got, I got the tool. Uh, what, like, I hate, I use Bank of America. I hate bank, I hate the app. Mm-hmm. I hate the web. All banking websites just horrible.”

Latent Space · 20 Mar 2026

Evidence receipt · Source ↗

other / likes

Wiki approach

“I like the, the Wiki approach. Uh, my, I’m actually like, uh, you know, obviously I spent some my time at cognition, which, uh, you, you know very well.”

Latent Space · 5 Mar 2026

Evidence receipt · Source ↗

person / uses

Ted Chiang

“You were very excited because I read Ted Chiang over the holidays and I was very inspired by this short story called Understand, which apparently is, like, pretty old.”

Latent Space · 6 Feb 2026

Evidence receipt · Source ↗

app / uses

Overcast

“I used to use Overcast. So it would just link to the Overcast page.”

Latent Space · 14 Mar 2025

Evidence receipt · Source ↗

other / uses

Snip

“By the way, we use the snip count as a proxy for popularity, right? Because we have download counts, but for example, platforms like Spotify re-host our MP3 file.”

Latent Space · 14 Mar 2025

Evidence receipt · Source ↗

other / recommends

The Peel

“I think I strongly recommend Jack Bridger's Scaling DevTools, as well as Turner Novak's The Peel.”

Latent Space · 28 Feb 2025

Evidence receipt · Source ↗

other / recommends

Scaling DevTools

“I think I strongly recommend Jack Bridger's Scaling DevTools, as well as Turner Novak's The Peel.”

Latent Space · 28 Feb 2025

Evidence receipt · Source ↗

app / uses

AI News

“So that's what basically I use AI News for. I have a lot of prompts and a lot of steps and a lot of criteria and O1 just kind of checks through each kind of systematically.”

Latent Space · 1 Feb 2025

Evidence receipt · Source ↗

tool / built

Bolt.new

“It's funny because I built on top of the fork of Bolt.new that already has the multi LLM thing.”

Latent Space · 2 Dec 2024

Evidence receipt · Source ↗

other / uses

XML

“I use XML in other models as well, and it's just a really nice way to make sure that the thing that ends is tied to the thing that starts. That's the only way to do code fences where you're pretty sure example one start, example one end, that is one cohesive unit.”

Latent Space · 28 Nov 2024

Evidence receipt · Source ↗

app / uses

DevIn

“I used to tell people go to the DevIn demo and look at the four things that they offer and say each of those things is a startup.”

Latent Space · 2 Aug 2024

Evidence receipt · Source ↗

Claim ledger

What Shawn said.

500 transcript-backed records

02 / belief

Specifically on the hardware-software boundary part, it’s, it’s something I think about of our education system, in the States, but also maybe just in generally.

“Specifically on the hardware-software boundary part, it’s, it’s something I think about of our education system, in the States, but also maybe just in generally.”
Speaker
Shawn Wang
Publisher
Latent Space

03 / prediction

‘Cause it’s a statistical thing, but as long I don’t know if regulators understand that, you cannot extrapolate from a single incident, but we do because that’s all we have to go on.

“‘Cause it’s a statistical thing, but as long I don’t know if regulators understand that, you cannot extrapolate from a single incident, but we do because that’s all we have to go on.”
Speaker
Shawn Wang
Publisher
Latent Space

06 / belief

I, I think there’s just a kind of different stages when, when you talk about the world, one wanting more model companies, I talked think about like the neo labs.

“I, I think there’s just a kind of different stages when, when you talk about the world, one wanting more model companies, I talked think about like the neo labs.”
Speaker
Shawn Wang
Publisher
Latent Space

07 / belief

To, to the end customers and like, well, if they didn’t have you, they would’ve to hire in house and they’re not gonna hire in house so they have you. And like, I think that’s like a reasonable, like very robust to any whatever trends and, and discoveries that people make in, in the engineering layer.

“To, to the end customers and like, well, if they didn’t have you, they would’ve to hire in house and they’re not gonna hire in house so they have you. And like, I think that’s like a reasonable, like very robust to any whatever trends and, and discoveries that people make in, in the engineering layer.”
Speaker
Shawn Wang
Publisher
Latent Space

09 / belief

Comparatively, like, I think you should make, Hey, I guess while, while that’s going on, it’s not that bad to be a capabilities explorer on just the $200 a month plan from Cloud Code or from OpenAI.

“Comparatively, like, I think you should make, Hey, I guess while, while that’s going on, it’s not that bad to be a capabilities explorer on just the $200 a month plan from Cloud Code or from OpenAI.”
Speaker
Shawn Wang
Publisher
Latent Space

10 / belief

Um, and obviously I’m involved in cognition and also cursors doing, doing, uh, a lot of own model training. And I think that that is some part of the, what I’ve been calling the agent lab playbook, where you start off with the state of the art models from, uh, from the big labs and you, uh, specialize for your domain.

“Um, and obviously I’m involved in cognition and also cursors doing, doing, uh, a lot of own model training. And I think that that is some part of the, what I’ve been calling the agent lab playbook, where you start off with the state of the art models from, uh, from the big labs and you, uh, specialize for your domain.”
Speaker
Shawn Wang
Publisher
Latent Space

11 / belief

I think that, um, for it to, for the market structure to, to significantly change there would be, there needs to be significant change in like the economics or like the, the brand building or like the, the, the, the value propositions of the, of the companies involved and I.

“I think that, um, for it to, for the market structure to, to significantly change there would be, there needs to be significant change in like the economics or like the, the brand building or like the, the, the, the value propositions of the, of the companies involved and I.”
Speaker
Shawn Wang
Publisher
Latent Space

12 / belief

Of Braintrust where he, and he, I mean, you know, he has a good cross section of all the top AI companies and he says market share of open source is 5% and going down. Um, I think that’s changed.

“Of Braintrust where he, and he, I mean, you know, he has a good cross section of all the top AI companies and he says market share of open source is 5% and going down. Um, I think that’s changed.”
Speaker
Shawn Wang
Publisher
Latent Space

13 / belief

Everyone says like, yeah, we should always, always do this. And honestly like, I think the infrastructure for that is becoming easier with, um, like thinking machines tinker thing as well as primary like, uh, lab stuff.

“Everyone says like, yeah, we should always, always do this. And honestly like, I think the infrastructure for that is becoming easier with, um, like thinking machines tinker thing as well as primary like, uh, lab stuff.”
Speaker
Shawn Wang
Publisher
Latent Space

16 / recommendation

Yeah, like I would actually advise and topic to tune down the marketing because also it’s, it is just a very good model and you don’t have to make so many marketing claims around it.

“Yeah, like I would actually advise and topic to tune down the marketing because also it’s, it is just a very good model and you don’t have to make so many marketing claims around it.”
Speaker
Shawn Wang
Publisher
Latent Space

19 / recommendation

Beyond that, I think honestly there is like, so I, I come from the sensibility of, I think everything that you are trying to do for agents experience now, which is the term that Matt Bowman and Nullify is trying to coin, is the same thing that you should have been doing for developer experience.

“Beyond that, I think honestly there is like, so I, I come from the sensibility of, I think everything that you are trying to do for agents experience now, which is the term that Matt Bowman and Nullify is trying to coin, is the same thing that you should have been doing for developer experience.”
Speaker
Shawn Wang
Publisher
Latent Space

20 / prediction

Um, I do think, like, uh, it is interesting that, uh, for a while I was, I was considering the theory that models capped out at two, 2 trillion, and I think that’s proving to be wrong.

“Um, I do think, like, uh, it is interesting that, uh, for a while I was, I was considering the theory that models capped out at two, 2 trillion, and I think that’s proving to be wrong.”
Speaker
Shawn Wang
Publisher
Latent Space

21 / prediction

I think the personalization turn that is coming, um, will be big. And I don’t know what that looks like because like basically we’re kind of, we feel kind of tapped out on the memory side of things.

“I think the personalization turn that is coming, um, will be big. And I don’t know what that looks like because like basically we’re kind of, we feel kind of tapped out on the memory side of things.”
Speaker
Shawn Wang
Publisher
Latent Space

22 / evaluation

Minimal in, in a sense of like, the worst you do is you just get hired into one of these labs anyway. So I, I think the, the market for people who just do things and try things and try to execute in like a competent way, even if like it doesn’t work out commercially, even if it just wasn’t that great anyway.

“Minimal in, in a sense of like, the worst you do is you just get hired into one of these labs anyway. So I, I think the, the market for people who just do things and try things and try to execute in like a competent way, even if like it doesn’t work out commercially, even if it just wasn’t that great anyway.”
Speaker
Shawn Wang
Publisher
Latent Space

25 / belief

Cool. Um, I think that that was all the questions I had. I said I, I have one sort of a bonus thing if you, if you wanna indulge in, uh, some Bing history.

“Cool. Um, I think that that was all the questions I had. I said I, I have one sort of a bonus thing if you, if you wanna indulge in, uh, some Bing history.”
Speaker
Shawn Wang
Publisher
Latent Space

26 / uncertainty

I, I don’t know, I don’t know, uh, you know, it’s, uh, people va-variously refer you as like CEO or, or, uh, I don’t know what that, that, that said previous role at Microsoft was.

“I, I don’t know, I don’t know, uh, you know, it’s, uh, people va-variously refer you as like CEO or, or, uh, I don’t know what that, that, that said previous role at Microsoft was.”
Speaker
Shawn Wang
Publisher
Latent Space

29 / belief

I think I can, I can screen share, and then we can kind of go through some of the shocking stats that maybe, maybe put some numbers to what exactly is going on.

“I think I can, I can screen share, and then we can kind of go through some of the shocking stats that maybe, maybe put some numbers to what exactly is going on.”
Speaker
Shawn Wang
Publisher
Latent Space

30 / belief

I’m familiar with these people for the LLM, you know, autoregressive stack. But the other interesting category of these optimizers is also the diffusion people, whereas like Fel and, you know, uh, Pruna recently has come up a lot as well, which I think is like really underappreciated, uh, at least by myself, because I, I thought, oh, all the workload would be LLMs, but actually there’s a lot of diffusion as well.

“I’m familiar with these people for the LLM, you know, autoregressive stack. But the other interesting category of these optimizers is also the diffusion people, whereas like Fel and, you know, uh, Pruna recently has come up a lot as well, which I think is like really underappreciated, uh, at least by myself, because I, I thought, oh, all the workload would be LLMs, but actually there’s a lot of diffusion as well.”
Speaker
Shawn Wang
Publisher
Latent Space

31 / evaluation

Uh, one of the reasons I reached out was because you started promoting more sort of internal tooling, uh, primarily Tangle, but also a lot of people have seen and adopted Tobi’s QMD, uh, and obviously, I think, uh, Shopify has always been sort of leading in terms of, uh, engineering.

“Uh, one of the reasons I reached out was because you started promoting more sort of internal tooling, uh, primarily Tangle, but also a lot of people have seen and adopted Tobi’s QMD, uh, and obviously, I think, uh, Shopify has always been sort of leading in terms of, uh, engineering.”
Speaker
Shawn Wang
Publisher
Latent Space

32 / evaluation

Like I think for example, right, like in the audio kind, kind of use cases, the SSMs ef-effectively have unbounded context length because they, they just have to operate on like the most, the sliding window of the most recent stuff.

“Like I think for example, right, like in the audio kind, kind of use cases, the SSMs ef-effectively have unbounded context length because they, they just have to operate on like the most, the sliding window of the most recent stuff.”
Speaker
Shawn Wang
Publisher
Latent Space

33 / evaluation

Then the other thing that you mentioned, which also raised my eyebrows, was content-based caching, which you mentioned is, is, um, you know, is ve-very much, uh, um, a sort of efficiency measure about, uh, you know, just like recalculation only on, on sort of content addressing Which I think makes sense.

“Then the other thing that you mentioned, which also raised my eyebrows, was content-based caching, which you mentioned is, is, um, you know, is ve-very much, uh, um, a sort of efficiency measure about, uh, you know, just like recalculation only on, on sort of content addressing Which I think makes sense.”
Speaker
Shawn Wang
Publisher
Latent Space

35 / uncertainty

I’m also calling back to there’s this like levels of EGI I don’t know if Opening Eye is still talking about this, but they used to talk about five levels of EGI and one of it was like, oh, it’s like an intern coding software patient.

“I’m also calling back to there’s this like levels of EGI I don’t know if Opening Eye is still talking about this, but they used to talk about five levels of EGI and one of it was like, oh, it’s like an intern coding software patient.”
Speaker
Shawn Wang
Publisher
Latent Space

36 / belief

I think like the only argument I have against this is basically scale testing, which obviously the larger pieces of software like Linux, MySQL, he calls up even the Datadog and Temporals and then maybe security testing where Yes.

“I think like the only argument I have against this is basically scale testing, which obviously the larger pieces of software like Linux, MySQL, he calls up even the Datadog and Temporals and then maybe security testing where Yes.”
Speaker
Shawn Wang
Publisher
Latent Space

39 / belief

All the coding review agent, it can merge autonomously. I think that’s something that a lot of people aren’t comfortable with.

“All the coding review agent, it can merge autonomously. I think that’s something that a lot of people aren’t comfortable with.”
Speaker
Shawn Wang
Publisher
Latent Space

40 / uncertainty

I was briefly part of the, that, that world is it salt? I don’t know. It’s actually really hard for humans to agree on what revenue is.

“I was briefly part of the, that, that world is it salt? I don’t know. It’s actually really hard for humans to agree on what revenue is.”
Speaker
Shawn Wang
Publisher
Latent Space

41 / belief

I had to go do a crash course in Beam and Elixir, and I think most people are not operating at that scale of concurrency where you need that.

“I had to go do a crash course in Beam and Elixir, and I think most people are not operating at that scale of concurrency where you need that.”
Speaker
Shawn Wang
Publisher
Latent Space

43 / belief

I think obviously you can spend the whole day going through some of these, but I do think that some of these have a lot of care or some of this you might wanna tell people, Hey, take this, but, make it your own.

“I think obviously you can spend the whole day going through some of these, but I do think that some of these have a lot of care or some of this you might wanna tell people, Hey, take this, but, make it your own.”
Speaker
Shawn Wang
Publisher
Latent Space

45 / belief

Coming back to the final point I wanted to make is, yeah I think that there, there are multiple other, like you guys are working on this, but this is a pattern that every other company out there should adopt.

“Coming back to the final point I wanted to make is, yeah I think that there, there are multiple other, like you guys are working on this, but this is a pattern that every other company out there should adopt.”
Speaker
Shawn Wang
Publisher
Latent Space

47 / belief

I think one of the concerns I have with that kind of stuff is you think you’re making the right call by making, it’s persisted for all time across everything.

“I think one of the concerns I have with that kind of stuff is you think you’re making the right call by making, it’s persisted for all time across everything.”
Speaker
Shawn Wang
Publisher
Latent Space

49 / evaluation

It’s almost like you’re, it’s like a ratchet. It’s like you’re forcing build time discipline, because if you don’t, it’ll just grow and grow.

“It’s almost like you’re, it’s like a ratchet. It’s like you’re forcing build time discipline, because if you don’t, it’ll just grow and grow.”
Speaker
Shawn Wang
Publisher
Latent Space

50 / belief

I think Sun is also too polite to point out that, both like Google’s genie, demos as well as world Labs is marble, do not have interactive worlds.

“I think Sun is also too polite to point out that, both like Google’s genie, demos as well as world Labs is marble, do not have interactive worlds.”
Speaker
Shawn Wang
Publisher
Latent Space

53 / belief

I honestly, do think that if people deeply understand everything we just covered, they will see what’s coming. I think you guys have, made some, a really significant contribution here.

“I honestly, do think that if people deeply understand everything we just covered, they will see what’s coming. I think you guys have, made some, a really significant contribution here.”
Speaker
Shawn Wang
Publisher
Latent Space

54 / preference

You could have just said no audio And audio in my mind has a lot of recursion, whereas in video you can just do recasting and that’s much computationally much simpler.

“You could have just said no audio And audio in my mind has a lot of recursion, whereas in video you can just do recasting and that’s much computationally much simpler.”
Speaker
Shawn Wang
Publisher
Latent Space

56 / evaluation

That you guys do. But, I, I could see, I could see that I think the, the human intent is something that people are not even used to because we’re so used to static worlds or, worlds that just don’t react, or, I don’t know.

“That you guys do. But, I, I could see, I could see that I think the, the human intent is something that people are not even used to because we’re so used to static worlds or, worlds that just don’t react, or, I don’t know.”
Speaker
Shawn Wang
Publisher
Latent Space

57 / belief

I remember, I don’t think it was January, right? It was like new reps it was, it dropped during new reps and everyone in Europes was December of 25th, I think.

“I remember, I don’t think it was January, right? It was like new reps it was, it dropped during new reps and everyone in Europes was December of 25th, I think.”
Speaker
Shawn Wang
Publisher
Latent Space

61 / preference

The key thing I think over maybe like the last year or so with VO and gr Imagine and all these things is joining voice with video, right?

“The key thing I think over maybe like the last year or so with VO and gr Imagine and all these things is joining voice with video, right?”
Speaker
Shawn Wang
Publisher
Latent Space

62 / prediction

One of my theories is that because the proofs takes so long, it’s actually just a proxy for long horizon reasoning and coherence and planning.

“One of my theories is that because the proofs takes so long, it’s actually just a proxy for long horizon reasoning and coherence and planning.”
Speaker
Shawn Wang
Publisher
Latent Space

66 / preference

Kinda obsessed. I, I’ve been using it a lot, even for managing latent space. Like, uh, cowork helps me upload videos and like title things and like edit and everything.

“Kinda obsessed. I, I’ve been using it a lot, even for managing latent space. Like, uh, cowork helps me upload videos and like title things and like edit and everything.”
Speaker
Shawn Wang
Publisher
Latent Space

67 / belief

I think you guys do something different in planning, but, uh, I’ve been talking with Tariq who is on the cloud co team, and you guys are, he’s like, no, we just exposed planning.

“I think you guys do something different in planning, but, uh, I’ve been talking with Tariq who is on the cloud co team, and you guys are, he’s like, no, we just exposed planning.”
Speaker
Shawn Wang
Publisher
Latent Space

68 / belief

I, I think you still want, especially for people who are doing like high performance software or like very complex software, uh, you still want like, some view of the architecture.

“I, I think you still want, especially for people who are doing like high performance software or like very complex software, uh, you still want like, some view of the architecture.”
Speaker
Shawn Wang
Publisher
Latent Space

69 / belief

Uh, you know, look, my, my my, my view is like most things should be Tori by default, unless you really need the full power of electron, but.

“Uh, you know, look, my, my my, my view is like most things should be Tori by default, unless you really need the full power of electron, but.”
Speaker
Shawn Wang
Publisher
Latent Space

73 / uncertainty

Um, and I I, we have like Claude Coworks, it might be a GI, I don’t know if we, we have, uh, uploaded it yet, but one of the sessions was like a, like a Claude cowork thing.

“Um, and I I, we have like Claude Coworks, it might be a GI, I don’t know if we, we have, uh, uploaded it yet, but one of the sessions was like a, like a Claude cowork thing.”
Speaker
Shawn Wang
Publisher
Latent Space

76 / commitment

Do, do you operate, like if there’s one cha there must have at least one champion who’s like, yes, I will put my career on, on, on the line for this.

“Do, do you operate, like if there’s one cha there must have at least one champion who’s like, yes, I will put my career on, on, on the line for this.”
Speaker
Shawn Wang
Publisher
Latent Space

82 / belief

Like, so like that, that, that chart that you see is them estimating what the human equivalent replacement is. Um, I think the, I think actually Enro release a more recent chart.

“Like, so like that, that, that chart that you see is them estimating what the human equivalent replacement is. Um, I think the, I think actually Enro release a more recent chart.”
Speaker
Shawn Wang
Publisher
Latent Space

83 / evaluation

Like, I don’t know if, I don’t know if I can say that, but like, you know, um, I think what my point kind of is, is that there’s, like, I look at slopes of the scaling laws and like, this slope is not working, man.

“Like, I don’t know if, I don’t know if I can say that, but like, you know, um, I think what my point kind of is, is that there’s, like, I look at slopes of the scaling laws and like, this slope is not working, man.”
Speaker
Shawn Wang
Publisher
Latent Space

90 / recommendation

You decide from me based on all the other people you know better than me. And I think every agent lab should basically end up doing this because that actually gives you extra power because you like people stop carrying or having loyalty with one lab.

“You decide from me based on all the other people you know better than me. And I think every agent lab should basically end up doing this because that actually gives you extra power because you like people stop carrying or having loyalty with one lab.”
Speaker
Shawn Wang
Publisher
Latent Space

93 / preference

That’s an interesting one because what I actually do want, like from a manna and open crawl, whatever, is like I want to be able to log in with my credentials to the thing, but not actually store it in any like secret store, whatever.

“That’s an interesting one because what I actually do want, like from a manna and open crawl, whatever, is like I want to be able to log in with my credentials to the thing, but not actually store it in any like secret store, whatever.”
Speaker
Shawn Wang
Publisher
Latent Space

95 / belief

I mean, I think, I think like, you know, do do what some companies are doing, you know, I’m not saying it’s my situation exactly, but like give them equity and like Uhhuh it should probably would be worth more, uh, just like sort of helping them out.

“I mean, I think, I think like, you know, do do what some companies are doing, you know, I’m not saying it’s my situation exactly, but like give them equity and like Uhhuh it should probably would be worth more, uh, just like sort of helping them out.”
Speaker
Shawn Wang
Publisher
Latent Space

96 / belief

I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there’s, there’s lots of really smart people at work during all this.

“I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there’s, there’s lots of really smart people at work during all this.”
Speaker
Shawn Wang
Publisher
Latent Space

98 / belief

I think, you know, so one of the things that stability ai, uh, made an impression on me was like, well, you know, and at least now we can remake Game of Throne Season eight, and I can, you know, uh, like, like it was meant to be not, uh, not rushed.

“I think, you know, so one of the things that stability ai, uh, made an impression on me was like, well, you know, and at least now we can remake Game of Throne Season eight, and I can, you know, uh, like, like it was meant to be not, uh, not rushed.”
Speaker
Shawn Wang
Publisher
Latent Space

102 / belief

I think the let’s, let’s sort of reset on like, what was the original work that you guys did for Verified, which I think was pretty substantial.

“I think the let’s, let’s sort of reset on like, what was the original work that you guys did for Verified, which I think was pretty substantial.”
Speaker
Shawn Wang
Publisher
Latent Space

103 / commitment

I will note that you guys had a trend in verifying benchmarks. ‘cause I just recently saw, I think Quinn had a HLE verified for humanities.

“I will note that you guys had a trend in verifying benchmarks. ‘cause I just recently saw, I think Quinn had a HLE verified for humanities.”
Speaker
Shawn Wang
Publisher
Latent Space

104 / evaluation

I, I think you guys have, you know, really made a lot of progress and I think taking a lot of industry leadership for C Bench verified and, and now moving on to C Orange Pro.

“I, I think you guys have, you know, really made a lot of progress and I think taking a lot of industry leadership for C Bench verified and, and now moving on to C Orange Pro.”
Speaker
Shawn Wang
Publisher
Latent Space

105 / belief

Maybe decade, but, uh, uh, just like I, I think, you know, I, I just going back to the discussion about how a GI would just kind of consume everything.

“Maybe decade, but, uh, uh, just like I, I think, you know, I, I just going back to the discussion about how a GI would just kind of consume everything.”
Speaker
Shawn Wang
Publisher
Latent Space

106 / belief

I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real.

“I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real.”
Speaker
Shawn Wang
Publisher
Latent Space

107 / belief

I, I think that, uh, you know, speaking about ad there’s, there’s a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.

“I, I think that, uh, you know, speaking about ad there’s, there’s a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.”
Speaker
Shawn Wang
Publisher
Latent Space

108 / belief

My, my, uh, sort of, uh, thesis, which we’re not gonna have to go into here is actually I think a, um, what I’ve been calling Agent Labs, which are [00:54:00] people who build on top of, uh, all the other models.

“My, my, uh, sort of, uh, thesis, which we’re not gonna have to go into here is actually I think a, um, what I’ve been calling Agent Labs, which are [00:54:00] people who build on top of, uh, all the other models.”
Speaker
Shawn Wang
Publisher
Latent Space

109 / preference

I think like it’s important to hear you guys’ perspective because the rest of us are just kind of looking at headlines and not knowing how to make sense of any of this.

“I think like it’s important to hear you guys’ perspective because the rest of us are just kind of looking at headlines and not knowing how to make sense of any of this.”
Speaker
Shawn Wang
Publisher
Latent Space

110 / belief

Uh, cool. Uh, I think. There, there’s more general, like broad questions, but like, I guess what, what do you, uh, wish you were asked more in, in, in general, like, you know, like you, you have such a broad scope.

“Uh, cool. Uh, I think. There, there’s more general, like broad questions, but like, I guess what, what do you, uh, wish you were asked more in, in, in general, like, you know, like you, you have such a broad scope.”
Speaker
Shawn Wang
Publisher
Latent Space

111 / belief

I think, uh, one thing that, uh, anti-gravity from, from Google also did was like, just come out the gate to very, very strong multimodal, including videos, and that’s the highest bandwidth communication prompt that you can give to the model, which is fantastic.

“I think, uh, one thing that, uh, anti-gravity from, from Google also did was like, just come out the gate to very, very strong multimodal, including videos, and that’s the highest bandwidth communication prompt that you can give to the model, which is fantastic.”
Speaker
Shawn Wang
Publisher
Latent Space

112 / uncertainty

I don’t know if you have any predictions that you, that you like to keep, you know, like, uh, one, one way to do this is you have your tests whenever a new model comes out that you run, uh, what’s something that you’re, you’re not quite happy with yet.

“I don’t know if you have any predictions that you, that you like to keep, you know, like, uh, one, one way to do this is you have your tests whenever a new model comes out that you run, uh, what’s something that you’re, you’re not quite happy with yet.”
Speaker
Shawn Wang
Publisher
Latent Space

115 / belief

Uh, w w while we’re on this topic, you know, I think there’s a lot of, um, uh, this, the concept of precision at all is weird when we’re sampling, you know, uh, we just, at the end of this, we’re going to have all these like chips that I’ll do like very good math.

“Uh, w w while we’re on this topic, you know, I think there’s a lot of, um, uh, this, the concept of precision at all is weird when we’re sampling, you know, uh, we just, at the end of this, we’re going to have all these like chips that I’ll do like very good math.”
Speaker
Shawn Wang
Publisher
Latent Space

118 / belief

I think for me, one way in which I think about world models is just like this, like, having this consistent model of the world where everything that you generate operates within the rules of that world.

“I think for me, one way in which I think about world models is just like this, like, having this consistent model of the world where everything that you generate operates within the rules of that world.”
Speaker
Shawn Wang
Publisher
Latent Space

130 / belief

I did give you shit for missing fireworks, and how do you have a model benchmarking thing without fireworks? But you had together, you had perplexity, and I think we just started chatting there.

“I did give you shit for missing fireworks, and how do you have a model benchmarking thing without fireworks? But you had together, you had perplexity, and I think we just started chatting there.”
Speaker
Shawn Wang
Publisher
Latent Space

131 / uncertainty

I don’t know if you have anything to add there. Or we could just go right into showing people the benchmark and like looking around and asking questions about it.

“I don’t know if you have anything to add there. Or we could just go right into showing people the benchmark and like looking around and asking questions about it.”
Speaker
Shawn Wang
Publisher
Latent Space

133 / belief

Let’s pick on hardware efficiency since you also have, you also track hardware stuff. And I think the general assertion or the message is that the efficiency from next gen Nvidia chips is actually not 4X.

“Let’s pick on hardware efficiency since you also have, you also track hardware stuff. And I think the general assertion or the message is that the efficiency from next gen Nvidia chips is actually not 4X.”
Speaker
Shawn Wang
Publisher
Latent Space

134 / belief

I think to some extent, I’m mixed opinion on that one because to some extent, your target audience is not people in AI Grants who are obviously at the frontier.

“I think to some extent, I’m mixed opinion on that one because to some extent, your target audience is not people in AI Grants who are obviously at the frontier.”
Speaker
Shawn Wang
Publisher
Latent Space

136 / preference

What I love talking to people like you who sit across the ecosystem is, well, I have theories about what people want, but you have data and that’s obviously more relevant.

“What I love talking to people like you who sit across the ecosystem is, well, I have theories about what people want, but you have data and that’s obviously more relevant.”
Speaker
Shawn Wang
Publisher
Latent Space

140 / recommendation

So abusing the trust system is like setting up a trust system creates the damage from the trust system. And so I actually want to encourage people to try out MCP Inspector because all you got to do is actually just look at the traffic.

“So abusing the trust system is like setting up a trust system creates the damage from the trust system. And so I actually want to encourage people to try out MCP Inspector because all you got to do is actually just look at the traffic.”
Speaker
Shawn Wang
Publisher
Latent Space

141 / evaluation

Totally. And I think that is partially why it made your launch successful because you launch with a sufficiently spanning set of here's examples and then people just copy paste and expand from there.

“Totally. And I think that is partially why it made your launch successful because you launch with a sufficiently spanning set of here's examples and then people just copy paste and expand from there.”
Speaker
Shawn Wang
Publisher
Latent Space

143 / recommendation

Like they're, they're not normal servers in the, in the sense that they, they wrap some API and it's just easier to interact with those than to work at the APIs. And so I'll, I'll highlight the, the memory one first, just because like, I think there are, there are a few memory startups, but actually you don't need them if you just use this one.

“Like they're, they're not normal servers in the, in the sense that they, they wrap some API and it's just easier to interact with those than to work at the APIs. And so I'll, I'll highlight the, the memory one first, just because like, I think there are, there are a few memory startups, but actually you don't need them if you just use this one.”
Speaker
Shawn Wang
Publisher
Latent Space

144 / evaluation

You know, I think you, you maybe have a published some research that says like, actually sometimes to get, to get the model working the right way, you have to do multi-step prompting or jailbreaking to, to, to behave the way that you want.

“You know, I think you, you maybe have a published some research that says like, actually sometimes to get, to get the model working the right way, you have to do multi-step prompting or jailbreaking to, to, to behave the way that you want.”
Speaker
Shawn Wang
Publisher
Latent Space

145 / belief

Yeah. And I think the reason I have to be here in SF is because I make friends with people who know things and are smarter than me, and we do go for chats and they're nice enough to share some stuff.

“Yeah. And I think the reason I have to be here in SF is because I make friends with people who know things and are smarter than me, and we do go for chats and they're nice enough to share some stuff.”
Speaker
Shawn Wang
Publisher
Latent Space

146 / belief

I don't, I think that's just a more general policy of no matter what they have at the top tier, they always want to have smaller versions of that in the, in the lower tiers.

“I don't, I think that's just a more general policy of no matter what they have at the top tier, they always want to have smaller versions of that in the, in the lower tiers.”
Speaker
Shawn Wang
Publisher
Latent Space

147 / belief

We were talking on, on the car about Decagon and Sierra, obviously Brett, Brett Taylor is founder of Sierra. And yeah, it seems like there's just this, these layers of agents that'll like, I think you just look at like the income statement or like the, the org chart of any large scaled company and you start picking them off one by one.

“We were talking on, on the car about Decagon and Sierra, obviously Brett, Brett Taylor is founder of Sierra. And yeah, it seems like there's just this, these layers of agents that'll like, I think you just look at like the income statement or like the, the org chart of any large scaled company and you start picking them off one by one.”
Speaker
Shawn Wang
Publisher
Latent Space

152 / preference

Yeah, but I don't regard, I don't have, I don't use, put, put that in my mental framework of things like I come at this much more as a content creator or market analyst of like, yeah, it, it really does matter to me what has part of market fit because.

“Yeah, but I don't regard, I don't have, I don't use, put, put that in my mental framework of things like I come at this much more as a content creator or market analyst of like, yeah, it, it really does matter to me what has part of market fit because.”
Speaker
Shawn Wang
Publisher
Latent Space

154 / evaluation

This is an actual tipping point. And I think I like as people who are like, our function as podcasters and industry analysts is to raise the bar or focus attention on things that you think matter.

“This is an actual tipping point. And I think I like as people who are like, our function as podcasters and industry analysts is to raise the bar or focus attention on things that you think matter.”
Speaker
Shawn Wang
Publisher
Latent Space

155 / prediction

I think literally the, like the information just published a, like, this is something that they're worried about, which is when operator or whoever accesses your website on behalf of you, how does it indicate that it's not you, but it's, it's an agent of you.

“I think literally the, like the information just published a, like, this is something that they're worried about, which is when operator or whoever accesses your website on behalf of you, how does it indicate that it's not you, but it's, it's an agent of you.”
Speaker
Shawn Wang
Publisher
Latent Space

156 / evaluation

I was gonna say this, so I have a list [00:24:00] of like two years ago we, I wrote the Anatomy of autonomy posts where it was like the, the first, like what's going on in agents and, and and, and, and what is actually making money. Because I think there's a lot of gen I skeptics out there.

“I was gonna say this, so I have a list [00:24:00] of like two years ago we, I wrote the Anatomy of autonomy posts where it was like the, the first, like what's going on in agents and, and and, and, and what is actually making money. Because I think there's a lot of gen I skeptics out there.”
Speaker
Shawn Wang
Publisher
Latent Space

158 / belief

I should also thank Sean Puri, who I've chatted with back and forth, who's been, I guess, getting me in touch with your people. But also, I think like, just giving us a lot of context, because obviously, My First Million joined you guys, and they've been chatting with you guys a lot.

“I should also thank Sean Puri, who I've chatted with back and forth, who's been, I guess, getting me in touch with your people. But also, I think like, just giving us a lot of context, because obviously, My First Million joined you guys, and they've been chatting with you guys a lot.”
Speaker
Shawn Wang
Publisher
Latent Space

160 / belief

You are kind of a marketplace, but he has a third angle, which is the model providers, and he lets them compete. And I think that sort of Chai three-way marketplace maybe makes a lot of sense.

“You are kind of a marketplace, but he has a third angle, which is the model providers, and he lets them compete. And I think that sort of Chai three-way marketplace maybe makes a lot of sense.”
Speaker
Shawn Wang
Publisher
Latent Space

163 / belief

Uh, I'm not trying to sway anyone, but yeah, I think like something I struggled with, with this conviction, you said you pursue things to conviction, but like you start out not knowing anything.

“Uh, I'm not trying to sway anyone, but yeah, I think like something I struggled with, with this conviction, you said you pursue things to conviction, but like you start out not knowing anything.”
Speaker
Shawn Wang
Publisher
Latent Space

164 / commitment

I think the, the problem, like, so even though at my conferences, GraphRag is super popular and people are getting knowledge, graph religion, and I will say like, it's getting space, getting traction in two areas, conversation memory, and then also just rag in general, like the, the, the document data.

“I think the, the problem, like, so even though at my conferences, GraphRag is super popular and people are getting knowledge, graph religion, and I will say like, it's getting space, getting traction in two areas, conversation memory, and then also just rag in general, like the, the, the document data.”
Speaker
Shawn Wang
Publisher
Latent Space

167 / uncertainty

Um, and the cost is not, it's not cheap, but I mean, we're in New York city right now and, uh, I don't know, I paid $8 for a coffee this morning, so, uh, the coffee is cheaper in Zurich than the New York city.

“Um, and the cost is not, it's not cheap, but I mean, we're in New York city right now and, uh, I don't know, I paid $8 for a coffee this morning, so, uh, the coffee is cheaper in Zurich than the New York city.”
Speaker
Shawn Wang
Publisher
Latent Space

168 / belief

Nice. So I really had to talk about it also because I think people interested in AI want to think about like, how can we, we're an AI podcast, we have to talk about the AI podcast app.

“Nice. So I really had to talk about it also because I think people interested in AI want to think about like, how can we, we're an AI podcast, we have to talk about the AI podcast app.”
Speaker
Shawn Wang
Publisher
Latent Space

172 / preference

A lot of the reason that people like Latent Space is it takes an idiot like me who could be doing a lot more with my life, making a lot more money, having a real job somewhere else. I just choose to do this because I like it.

“A lot of the reason that people like Latent Space is it takes an idiot like me who could be doing a lot more with my life, making a lot more money, having a real job somewhere else. I just choose to do this because I like it.”
Speaker
Shawn Wang
Publisher
Latent Space

176 / evaluation

I mean, on my side, I, I think I watched only like half of the talks. Cause I was running around and I think people saw me like towards the end, I was kind of collapsing.

“I mean, on my side, I, I think I watched only like half of the talks. Cause I was running around and I think people saw me like towards the end, I was kind of collapsing.”
Speaker
Shawn Wang
Publisher
Latent Space

179 / prediction

But like the real features come when you actually turn on the AI stuff. And so the reason I got snipped, because I got fed up with Overcast not implementing any AI features at all.

“But like the real features come when you actually turn on the AI stuff. And so the reason I got snipped, because I got fed up with Overcast not implementing any AI features at all.”
Speaker
Shawn Wang
Publisher
Latent Space

182 / prediction

Yeah, it's a it's really, I think, a really nice to have. But all I'll say is that my friend Corey Quinn says that anything that can be used as a database will be used as a database.

“Yeah, it's a it's really, I think, a really nice to have. But all I'll say is that my friend Corey Quinn says that anything that can be used as a database will be used as a database.”
Speaker
Shawn Wang
Publisher
Latent Space

186 / commitment

And assistance API, we've, uh, has a target sunset date of first half of 2020. So this is kind of like, in my mind, there was a kind of very poetic mirroring of the API with the models.

“And assistance API, we've, uh, has a target sunset date of first half of 2020. So this is kind of like, in my mind, there was a kind of very poetic mirroring of the API with the models.”
Speaker
Shawn Wang
Publisher
Latent Space

187 / evaluation

Yeah, yeah, uh, for sure. And then one thing on the, on like the breadth, you know, I think a lot of the deep research, open deep research implementations have this sort of hyper parameter about, you know, how deep they're searching and how wide they're searching.

“Yeah, yeah, uh, for sure. And then one thing on the, on like the breadth, you know, I think a lot of the deep research, open deep research implementations have this sort of hyper parameter about, you know, how deep they're searching and how wide they're searching.”
Speaker
Shawn Wang
Publisher
Latent Space

190 / recommendation

The only solution I know, which is to kind of keep a kind of warm pool of servers around, which is expensive, but maybe not so expensive because it's just CPUs.

“The only solution I know, which is to kind of keep a kind of warm pool of servers around, which is expensive, but maybe not so expensive because it's just CPUs.”
Speaker
Shawn Wang
Publisher
Latent Space

191 / uncertainty

I think I'm just trying to make sure that I'm not making false predictions. Because, like, you can predict that things will be better generically, but how?

“I think I'm just trying to make sure that I'm not making false predictions. Because, like, you can predict that things will be better generically, but how?”
Speaker
Shawn Wang
Publisher
Latent Space

193 / evaluation

Where he basically observed that the browser is turning the operating system into a poorly debugged set of device drivers, because most of the apps are moved from the OS to the browser.

“Where he basically observed that the browser is turning the operating system into a poorly debugged set of device drivers, because most of the apps are moved from the OS to the browser.”
Speaker
Shawn Wang
Publisher
Latent Space

195 / prediction

There's always the question of the, are you a point solution or are you the sort of all in one? And I think the point solutions tend to win quickly, but then the only ones have a very tight cohesive experience.

“There's always the question of the, are you a point solution or are you the sort of all in one? And I think the point solutions tend to win quickly, but then the only ones have a very tight cohesive experience.”
Speaker
Shawn Wang
Publisher
Latent Space

196 / commitment

This is one of those things where I forgot to mention in my intro that I'm an investor in Browserbase. And I remember that when you pitched to me, like a lot of the stuff that we have today, we like wasn't on the original conversation.

“This is one of those things where I forgot to mention in my intro that I'm an investor in Browserbase. And I remember that when you pitched to me, like a lot of the stuff that we have today, we like wasn't on the original conversation.”
Speaker
Shawn Wang
Publisher
Latent Space

201 / belief

Comparing and then, you know, covering the EU and then, yeah, like I said, like going into the meat production and then it'll also, what's nice is it kind of reasons over like why are there differences? And I think what's really cool here is like, it's, it's showing that there's like a difference in philosophy between how the U.

“Comparing and then, you know, covering the EU and then, yeah, like I said, like going into the meat production and then it'll also, what's nice is it kind of reasons over like why are there differences? And I think what's really cool here is like, it's, it's showing that there's like a difference in philosophy between how the U.”
Speaker
Shawn Wang
Publisher
Latent Space

205 / evaluation

That was super counterintuitive for us. So actually, the first time I realized that, what you're saying is when I was talking to Jason Calacanis and he was like, do you actually just make the answer in 10 seconds and just make me wait for the balance?

“That was super counterintuitive for us. So actually, the first time I realized that, what you're saying is when I was talking to Jason Calacanis and he was like, do you actually just make the answer in 10 seconds and just make me wait for the balance?”
Speaker
Shawn Wang
Publisher
Latent Space

207 / belief

One thing I just, I just observe is that I think the early Google days had this interesting mix of PM and engineer, which I think you are, you didn't, you didn't wait for PM to tell you these are my, this is my PRD.

“One thing I just, I just observe is that I think the early Google days had this interesting mix of PM and engineer, which I think you are, you didn't, you didn't wait for PM to tell you these are my, this is my PRD.”
Speaker
Shawn Wang
Publisher
Latent Space

208 / belief

What are the shapes of graphs that people should know? So the way that I would phrase this is I think Anthropic did a very good public service and also kind of surprisingly influential blog post, I would say, when they wrote Building Effective Agents.

“What are the shapes of graphs that people should know? So the way that I would phrase this is I think Anthropic did a very good public service and also kind of surprisingly influential blog post, I would say, when they wrote Building Effective Agents.”
Speaker
Shawn Wang
Publisher
Latent Space

216 / belief

Oh, I'll also say that I think one takeaway I got from your, this conversation is that ChatGPT will have to integrate a lot more with my life.

“Oh, I'll also say that I think one takeaway I got from your, this conversation is that ChatGPT will have to integrate a lot more with my life.”
Speaker
Shawn Wang
Publisher
Latent Space

217 / evaluation

Drafting anything like I want to draft like copy for my conference that I'm running, like I'll put it there first and then I like, it'll just have the canvas up and I'll just say what I don't like about it and it changes.

“Drafting anything like I want to draft like copy for my conference that I'm running, like I'll put it there first and then I like, it'll just have the canvas up and I'll just say what I don't like about it and it changes.”
Speaker
Shawn Wang
Publisher
Latent Space

219 / preference

You know, how could something this big work in like an industrial space and in the things that we're doing, you know, it's a really exciting time for us. And it's just, you know, it's a lot of work, but what I really like about working in digital space is the, you know, the visual space is always the best place to stay.

“You know, how could something this big work in like an industrial space and in the things that we're doing, you know, it's a really exciting time for us. And it's just, you know, it's a lot of work, but what I really like about working in digital space is the, you know, the visual space is always the best place to stay.”
Speaker
Shawn Wang
Publisher
Latent Space

221 / belief

I think there's a lot of inference insights that we can get from that, as well as human psychology insights, kind of a weird blend of the two.

“I think there's a lot of inference insights that we can get from that, as well as human psychology insights, kind of a weird blend of the two.”
Speaker
Shawn Wang
Publisher
Latent Space

222 / belief

I think one problem I have, and this is a broader products question maybe, is that the ELOs apply to the whole user population.

“I think one problem I have, and this is a broader products question maybe, is that the ELOs apply to the whole user population.”
Speaker
Shawn Wang
Publisher
Latent Space

224 / preference

I think we use at the top, spreading out to different experts and then at the bottom with rejection sampling, choosing from different paths.

“I think we use at the top, spreading out to different experts and then at the bottom with rejection sampling, choosing from different paths.”
Speaker
Shawn Wang
Publisher
Latent Space

227 / belief

I would say if you were to take the exit being O1 for search, literally, you really need to prioritize search trajectories, like almost maybe paying a bunch of grad students to go research things.

“I would say if you were to take the exit being O1 for search, literally, you really need to prioritize search trajectories, like almost maybe paying a bunch of grad students to go research things.”
Speaker
Shawn Wang
Publisher
Latent Space

233 / belief

I think the collective terminology has been inference time, and I think that makes sense because test time, calling it test, meaning, has a very pre trained bias, meaning that the only reason for running inference at all is to test your model.

“I think the collective terminology has been inference time, and I think that makes sense because test time, calling it test, meaning, has a very pre trained bias, meaning that the only reason for running inference at all is to test your model.”
Speaker
Shawn Wang
Publisher
Latent Space

235 / belief

Everyone knew, like, F1 we had a preview at the Fireworks HQ, and then [01:37:00] I think some other labs did it, but I think R1 and QWQ, Quill, from the Quent team, Both Alibaba affiliated, I think, are the leading contenders on that front end.

“Everyone knew, like, F1 we had a preview at the Fireworks HQ, and then [01:37:00] I think some other labs did it, but I think R1 and QWQ, Quill, from the Quent team, Both Alibaba affiliated, I think, are the leading contenders on that front end.”
Speaker
Shawn Wang
Publisher
Latent Space

238 / belief

I think every, I mean, there should be, just like every consumer product is going to have a, going to eventually want a gateway, you know, for, for managing their requests and ops tool, you know, that kind of stuff, um, code interpreter for maybe not exposing the code, but executing code under the hood for sure.

“I think every, I mean, there should be, just like every consumer product is going to have a, going to eventually want a gateway, you know, for, for managing their requests and ops tool, you know, that kind of stuff, um, code interpreter for maybe not exposing the code, but executing code under the hood for sure.”
Speaker
Shawn Wang
Publisher
Latent Space

243 / belief

NVIDIA, I think we continue to talk about, I think I was at the Taiwanese trade show, Comtex, and saw him signing, you know, You know, women body [01:30:00] parts. And I think that was maybe a sign of the times, maybe a sign that things have peaked, but things are clearly not peaked because they continued going.

“NVIDIA, I think we continue to talk about, I think I was at the Taiwanese trade show, Comtex, and saw him signing, you know, You know, women body [01:30:00] parts. And I think that was maybe a sign of the times, maybe a sign that things have peaked, but things are clearly not peaked because they continued going.”
Speaker
Shawn Wang
Publisher
Latent Space

244 / belief

I think if your, if your, your job is a, at least AI content creator or VC or, you know, someone who, whose job it is to stay on, stay on top of things, you should already be spending like a thousand dollars a month on, on stuff.

“I think if your, if your, your job is a, at least AI content creator or VC or, you know, someone who, whose job it is to stay on, stay on top of things, you should already be spending like a thousand dollars a month on, on stuff.”
Speaker
Shawn Wang
Publisher
Latent Space

245 / belief

Um, and that one, I would say Risa is obviously a star, but she's been on every episode, every podcast, but Isamah, I think, you know, actually being the guy who worked on the audio model, being able to talk to him, I think was, was a great gift for us.

“Um, and that one, I would say Risa is obviously a star, but she's been on every episode, every podcast, but Isamah, I think, you know, actually being the guy who worked on the audio model, being able to talk to him, I think was, was a great gift for us.”
Speaker
Shawn Wang
Publisher
Latent Space

248 / belief

Uh, I think, um, I have been asked my opinion on this before, and I said, I think I said it on a podcast, which is like, the main layer that you need is [01:38:00] the separate off roles, so that you don't assume it's a human, um, doing these things.

“Uh, I think, um, I have been asked my opinion on this before, and I said, I think I said it on a podcast, which is like, the main layer that you need is [01:38:00] the separate off roles, so that you don't assume it's a human, um, doing these things.”
Speaker
Shawn Wang
Publisher
Latent Space

252 / prediction

So likewise at Meta, likewise at OpenAI, likewise at the other labs as well. So like the GPU ultra rich are going to keep doing that because I think partially it's an article of faith now that you just need it.

“So likewise at Meta, likewise at OpenAI, likewise at the other labs as well. So like the GPU ultra rich are going to keep doing that because I think partially it's an article of faith now that you just need it.”
Speaker
Shawn Wang
Publisher
Latent Space

253 / recommendation

Oh yeah, magically going to close the gap between the closed source and open source. So basically I think my advice to people is keep track of the slow cooking of benchmark language because the labs that are not that frontier will keep measuring themselves on last year's benchmarks and then the labs that are actually frontier will Tell you about [01:09:00] benchmarks you've never heard of and you'll be like, Oh, like, okay, there's, there's new, there's new territory to, to, to go on.

“Oh yeah, magically going to close the gap between the closed source and open source. So basically I think my advice to people is keep track of the slow cooking of benchmark language because the labs that are not that frontier will keep measuring themselves on last year's benchmarks and then the labs that are actually frontier will Tell you about [01:09:00] benchmarks you've never heard of and you'll be like, Oh, like, okay, there's, there's new, there's new territory to, to, to go on.”
Speaker
Shawn Wang
Publisher
Latent Space

257 / observation

I want to double click on one thing just because you brought it up and it's like a rare thing to touch on VPO sales we don't get to actually we talk to pretty early stage founders mostly they don't usually have a pretty built out sales function advice what kind of sales works in this kind of field what didn't work anything you can share with other founders?

“I want to double click on one thing just because you brought it up and it's like a rare thing to touch on VPO sales we don't get to actually we talk to pretty early stage founders mostly they don't usually have a pretty built out sales function advice what kind of sales works in this kind of field what didn't work anything you can share with other founders?”
Speaker
Shawn Wang
Publisher
Latent Space

258 / recommendation

he had like three dollar signs in the title I was like I can't do that so it's either building AI for the enterprise and then I also said the worst the most dangerous thing an AI startup can do is build for other AI startups which I think both of you will co-sign and I think basically the main thesis which I really liked was like go slow to go fast like here's the if you actually build for like security, compliance, personalization, usage analytics, latency budgets, and scale from the start then you're going to pay that cost now but eventually it's going to pay off in the long run and this is the actual insight you cannot do this later like if you build the easy thing first as an MVP it's like just ship it with whatever's easy to do and then you tack on the enterprise ready.

“he had like three dollar signs in the title I was like I can't do that so it's either building AI for the enterprise and then I also said the worst the most dangerous thing an AI startup can do is build for other AI startups which I think both of you will co-sign and I think basically the main thesis which I really liked was like go slow to go fast like here's the if you actually build for like security, compliance, personalization, usage analytics, latency budgets, and scale from the start then you're going to pay that cost now but eventually it's going to pay off in the long run and this is the actual insight you cannot do this later like if you build the easy thing first as an MVP it's like just ship it with whatever's easy to do and then you tack on the enterprise ready.”
Speaker
Shawn Wang
Publisher
Latent Space

260 / prediction

Because vision models tend to just consume the whole image, if you are able to sort of focus on images based on the query, I think that, like, can get you a lot of extra performance.

“Because vision models tend to just consume the whole image, if you are able to sort of focus on images based on the query, I think that, like, can get you a lot of extra performance.”
Speaker
Shawn Wang
Publisher
Latent Space

265 / recommendation

talk about, but also kind of what we went through in our, in our call was I have PMF now, what is, is kind of what I've been saying. And so like, I think the first answer is hire a data scientist because we have to sort of figure out like from our data that you're now sitting on a ton of different customers and we don't really know the different customer segments.

“talk about, but also kind of what we went through in our, in our call was I have PMF now, what is, is kind of what I've been saying. And so like, I think the first answer is hire a data scientist because we have to sort of figure out like from our data that you're now sitting on a ton of different customers and we don't really know the different customer segments.”
Speaker
Shawn Wang
Publisher
Latent Space

267 / belief

We're not going to talk about the training for that because that's still confidential. But I think Anthropic's done a really good job, like applying the model to different things.

“We're not going to talk about the training for that because that's still confidential. But I think Anthropic's done a really good job, like applying the model to different things.”
Speaker
Shawn Wang
Publisher
Latent Space

269 / belief

Like, you're kind of skeptical about self-driving as a business. So I want to double click on this a little bit, because I mean, I think that shouldn't be taken away.

“Like, you're kind of skeptical about self-driving as a business. So I want to double click on this a little bit, because I mean, I think that shouldn't be taken away.”
Speaker
Shawn Wang
Publisher
Latent Space

270 / belief

E2B is a close friend of ours that Alessio has led around in, but also I think there's others where they're focusing on snapshotting memory so that it can do time travel for debugging.

“E2B is a close friend of ours that Alessio has led around in, but also I think there's others where they're focusing on snapshotting memory so that it can do time travel for debugging.”
Speaker
Shawn Wang
Publisher
Latent Space

271 / belief

For people who don't know, who maybe haven't dived into SWE-Bench, I think the general perception is they're like tasks that a software engineer could do.

“For people who don't know, who maybe haven't dived into SWE-Bench, I think the general perception is they're like tasks that a software engineer could do.”
Speaker
Shawn Wang
Publisher
Latent Space

272 / disagreement

I think we'll go into suite agent in a little bit, but I kind of reject the fact that, you know, you need to choose one prompt and like have your whole performance be predicated on that one prompt.

“I think we'll go into suite agent in a little bit, but I kind of reject the fact that, you know, you need to choose one prompt and like have your whole performance be predicated on that one prompt.”
Speaker
Shawn Wang
Publisher
Latent Space

273 / recommendation

Mentions personal use of XML.

“I use XML in other models as well, and it's just a really nice way to make sure that the thing that ends is tied to the thing that starts. That's the only way to do code fences where you're pretty sure example one start, example one end, that is one cohesive unit.”
Speaker
Shawn Wang
Publisher
Latent Space

276 / evaluation

Noam and basically everyone on the Strawberry team was very insistent that what they did for reinforcement learning, chain of thought, cannot be replicated by a whole bunch of open source model calls. Do you think that that is wrong?

“Noam and basically everyone on the Strawberry team was very insistent that what they did for reinforcement learning, chain of thought, cannot be replicated by a whole bunch of open source model calls. Do you think that that is wrong?”
Speaker
Shawn Wang
Publisher
Latent Space

277 / recommendation

I think I want to restate the value proposition of Fireworks for people who are comparing you versus a raw GPU provider like a RunPod or Lambda or anything like those, which is like you create the developer experience layer and you also make it easily scalable or serverless or as an endpoint.

“I think I want to restate the value proposition of Fireworks for people who are comparing you versus a raw GPU provider like a RunPod or Lambda or anything like those, which is like you create the developer experience layer and you also make it easily scalable or serverless or as an endpoint.”
Speaker
Shawn Wang
Publisher
Latent Space

279 / evaluation

Cosign was doing well on SweetBench, but they didn't want to leak those results. So that's why you don't see O1 preview on SweetBench, because they don't submit their reasoning choices.

“Cosign was doing well on SweetBench, but they didn't want to leak those results. So that's why you don't see O1 preview on SweetBench, because they don't submit their reasoning choices.”
Speaker
Shawn Wang
Publisher
Latent Space

280 / prediction

You get short-term gains by having specialists, domain specialists, and then someone just needs to train like a 10x bigger model on 10x more inference, 10x more data, 10x more model perhaps, whatever the current scaling law is. And then it supersedes all the individual models because of some generalized intelligence slash world knowledge.

“You get short-term gains by having specialists, domain specialists, and then someone just needs to train like a 10x bigger model on 10x more inference, 10x more data, 10x more model perhaps, whatever the current scaling law is. And then it supersedes all the individual models because of some generalized intelligence slash world knowledge.”
Speaker
Shawn Wang
Publisher
Latent Space

281 / evaluation

Basically it's just like the meta version of whatever Hugging Face offers, you know, or TensorRT, or BLM, or whatever the open source opportunity is. But to me, it's not clear that just because Meta open sources Lama, that the rest of LamaStack will be adopted.

“Basically it's just like the meta version of whatever Hugging Face offers, you know, or TensorRT, or BLM, or whatever the open source opportunity is. But to me, it's not clear that just because Meta open sources Lama, that the rest of LamaStack will be adopted.”
Speaker
Shawn Wang
Publisher
Latent Space

291 / evaluation

This is something I think about for AI engineering as well, which is the big labs want you to hand over everything in the prompts, and only code of English, and then the smaller brains, the GPU pours, always want to write more code to make things more deterministic and reliable and controllable.

“This is something I think about for AI engineering as well, which is the big labs want you to hand over everything in the prompts, and only code of English, and then the smaller brains, the GPU pours, always want to write more code to make things more deterministic and reliable and controllable.”
Speaker
Shawn Wang
Publisher
Latent Space

298 / belief

Anastasios, I actually saw you, I think at last year's NeurIPS. You were presenting a paper, which I don't really super understand, but it was some theory paper about how your method was very dominating over other sort of search methods.

“Anastasios, I actually saw you, I think at last year's NeurIPS. You were presenting a paper, which I don't really super understand, but it was some theory paper about how your method was very dominating over other sort of search methods.”
Speaker
Shawn Wang
Publisher
Latent Space

301 / evaluation

The classic one for human preference evaluation is humans demonstrably prefer longer contexts or longer outputs, which is actually something that we don't necessarily want. You guys, I think maybe two months ago put out some length control studies.

“The classic one for human preference evaluation is humans demonstrably prefer longer contexts or longer outputs, which is actually something that we don't necessarily want. You guys, I think maybe two months ago put out some length control studies.”
Speaker
Shawn Wang
Publisher
Latent Space

302 / recommendation

Blast from the past. It's always interesting how NeurIPS and all these academic conferences are sort of six months behind what people are actually doing, but conformal risk control, I would recommend people check it out.

“Blast from the past. It's always interesting how NeurIPS and all these academic conferences are sort of six months behind what people are actually doing, but conformal risk control, I would recommend people check it out.”
Speaker
Shawn Wang
Publisher
Latent Space

304 / belief

I noticed that you say no a lot, I think, or you try to ship one thing and that there's different about you than maybe other PMs or other teams that try to ship, but they're like, Oh, here are all the knobs.

“I noticed that you say no a lot, I think, or you try to ship one thing and that there's different about you than maybe other PMs or other teams that try to ship, but they're like, Oh, here are all the knobs.”
Speaker
Shawn Wang
Publisher
Latent Space

305 / belief

I'm trying to figure out what you nailed compared to others. And I think that the way that you treat your, the AI is like a little bit different than a lot of the builders I talked to.

“I'm trying to figure out what you nailed compared to others. And I think that the way that you treat your, the AI is like a little bit different than a lot of the builders I talked to.”
Speaker
Shawn Wang
Publisher
Latent Space

310 / belief

You know, I think a lot of it is competent PMing and engineering, but also just, you know, it's interesting how a lot of these projects are always like low key research previews for you.

“You know, I think a lot of it is competent PMing and engineering, but also just, you know, it's interesting how a lot of these projects are always like low key research previews for you.”
Speaker
Shawn Wang
Publisher
Latent Space

312 / belief

I think sometimes the difficulty is because we're dealing with non-deterministic models, sometimes you just got a bad roll of the dice and it's always on the distribution that you could get something bad.

“I think sometimes the difficulty is because we're dealing with non-deterministic models, sometimes you just got a bad roll of the dice and it's always on the distribution that you could get something bad.”
Speaker
Shawn Wang
Publisher
Latent Space

313 / uncertainty

I'm not sure that the Singapore government is aware that safety sometimes is a bad word in some AI circles because their work is associated with censorship.

“I'm not sure that the Singapore government is aware that safety sometimes is a bad word in some AI circles because their work is associated with censorship.”
Speaker
Shawn Wang
Publisher
Latent Space

316 / uncertainty

I don't know how we get them over the hump of going into industry and being successful engineers and I fear that we're going to create a whole bunch of certificates that don't mean anything.

“I don't know how we get them over the hump of going into industry and being successful engineers and I fear that we're going to create a whole bunch of certificates that don't mean anything.”
Speaker
Shawn Wang
Publisher
Latent Space

319 / preference

It's not even about the pivoting. They might just train from the start, but the point is that they can take a foundation model that is capable of anything and actually fashion it into a useful product at the end of it.

“It's not even about the pivoting. They might just train from the start, but the point is that they can take a foundation model that is capable of anything and actually fashion it into a useful product at the end of it.”
Speaker
Shawn Wang
Publisher
Latent Space

320 / evaluation

I will say I've been dealing with EDB a little bit from my conference, and they've been extremely responsive and it's been nice to see, because I never get to see this out of government, nice to see that as someone that wants to bring a foreign business into Singapore, they're kind of rolling on the welcome mat.

“I will say I've been dealing with EDB a little bit from my conference, and they've been extremely responsive and it's been nice to see, because I never get to see this out of government, nice to see that as someone that wants to bring a foreign business into Singapore, they're kind of rolling on the welcome mat.”
Speaker
Shawn Wang
Publisher
Latent Space

321 / preference

I don't have a point apart from which to say, I hope that people who are looking to enter Singapore, don't have that preconception that we are hard to deal with because we're very eager, I think, is my perception.

“I don't have a point apart from which to say, I hope that people who are looking to enter Singapore, don't have that preconception that we are hard to deal with because we're very eager, I think, is my perception.”
Speaker
Shawn Wang
Publisher
Latent Space

322 / preference

I don't know what the right answer is, but I will say that my perception is a lot of the Bay Area, San Francisco is on the, let everything be unregulated as possible.

“I don't know what the right answer is, but I will say that my perception is a lot of the Bay Area, San Francisco is on the, let everything be unregulated as possible.”
Speaker
Shawn Wang
Publisher
Latent Space

324 / belief

I've had the joy of watching you build this company a little bit, and I think you're one of the top founders I've ever met, so it's just great to sit down with you and learn a little bit.

“I've had the joy of watching you build this company a little bit, and I think you're one of the top founders I've ever met, so it's just great to sit down with you and learn a little bit.”
Speaker
Shawn Wang
Publisher
Latent Space

326 / belief

You can also do evals and all the other stuff. So there's a lot of tooling, and I think you saw something or you just had the self-belief where I didn't, or you saw something that was missing still, even in that space from DIY no-code Google Sheets to custom tool, they were first movers.

“You can also do evals and all the other stuff. So there's a lot of tooling, and I think you saw something or you just had the self-belief where I didn't, or you saw something that was missing still, even in that space from DIY no-code Google Sheets to custom tool, they were first movers.”
Speaker
Shawn Wang
Publisher
Latent Space

329 / belief

One other part of the triangle that I drew that you disagree with, and I thought that was very insightful, was fine-tuning. So I had all these overlapping circles, and I think you agreed with most of them, and I was like, at the center of it all, because you need logging from Ops, and then you need a gateway, and then you need a database with a framework, or whatever, was fine-tuning.

“One other part of the triangle that I drew that you disagree with, and I thought that was very insightful, was fine-tuning. So I had all these overlapping circles, and I think you agreed with most of them, and I was like, at the center of it all, because you need logging from Ops, and then you need a gateway, and then you need a database with a framework, or whatever, was fine-tuning.”
Speaker
Shawn Wang
Publisher
Latent Space

334 / belief

I think being so early in single store also taught you, among all these engineering lessons, you also learned a lot of business lessons that you took with you into Impira.

“I think being so early in single store also taught you, among all these engineering lessons, you also learned a lot of business lessons that you took with you into Impira.”
Speaker
Shawn Wang
Publisher
Latent Space

337 / belief

Like, you know, I think, I think, before we recorded, we discussed a little bit about the sensitivities around basically calling random store owners and putting, putting like an AI on them.

“Like, you know, I think, I think, before we recorded, we discussed a little bit about the sensitivities around basically calling random store owners and putting, putting like an AI on them.”
Speaker
Shawn Wang
Publisher
Latent Space

341 / belief

Yeah, I have more questions on, a couple questions on voice, and then also, like, your call to action, like, what you want feedback on, right? So, I think we should spend a bit more time on voice, because I feel like that's, like, the big splash thing.

“Yeah, I have more questions on, a couple questions on voice, and then also, like, your call to action, like, what you want feedback on, right? So, I think we should spend a bit more time on voice, because I feel like that's, like, the big splash thing.”
Speaker
Shawn Wang
Publisher
Latent Space

346 / prediction

I mean, I'm aware of them, but I think I'm excited to see how all distillation works. That's something that we've been doing like, I don't know, I've been like doing it between our models for a while And I've seen really good results like I've done back in a day like from GPT 4 to GPT 3.

“I mean, I'm aware of them, but I think I'm excited to see how all distillation works. That's something that we've been doing like, I don't know, I've been like doing it between our models for a while And I've seen really good results like I've done back in a day like from GPT 4 to GPT 3.”
Speaker
Shawn Wang
Publisher
Latent Space

347 / evaluation

I'm pretty science-based, like, you know, but probably the most like spiritual woo-woo thing about me is I don't think that would lead to consciousness or AGI just because like there's something in- there's a soul, you know?

“I'm pretty science-based, like, you know, but probably the most like spiritual woo-woo thing about me is I don't think that would lead to consciousness or AGI just because like there's something in- there's a soul, you know?”
Speaker
Shawn Wang
Publisher
Latent Space

351 / evaluation

You're one of like, you're maybe the first PhD thesis defense I've ever watched in like this AI world, because most people just publish single papers, but every paper of yours is a banger.

“You're one of like, you're maybe the first PhD thesis defense I've ever watched in like this AI world, because most people just publish single papers, but every paper of yours is a banger.”
Speaker
Shawn Wang
Publisher
Latent Space

352 / prediction

I actually always wanted to take like a selfie and go like, you know, POV, you're about to revolutionize the world of agents because we have two of the most awesome hiring agents in the house.

“I actually always wanted to take like a selfie and go like, you know, POV, you're about to revolutionize the world of agents because we have two of the most awesome hiring agents in the house.”
Speaker
Shawn Wang
Publisher
Latent Space

353 / evaluation

I will mostly agree and I'll slightly disagree in terms of this, which is like, whether designing for humans also overlaps with designing for AI. So Malte Ubo, who's the CTO of Vercel, who is creating basically JavaScript's competitor to LangChain, they're observing that basically, like if the API is easy to understand for humans, it's actually much easier to understand for LLMs, for example, because they're not overloaded functions.

“I will mostly agree and I'll slightly disagree in terms of this, which is like, whether designing for humans also overlaps with designing for AI. So Malte Ubo, who's the CTO of Vercel, who is creating basically JavaScript's competitor to LangChain, they're observing that basically, like if the API is easy to understand for humans, it's actually much easier to understand for LLMs, for example, because they're not overloaded functions.”
Speaker
Shawn Wang
Publisher
Latent Space

356 / uncertainty

I guess the best way to go through this, you know, you picked out 58 techniques out of your, I don't know, 4,000 papers that you reviewed, maybe we just pick through a few of these that are special to you and discuss them a little bit.

“I guess the best way to go through this, you know, you picked out 58 techniques out of your, I don't know, 4,000 papers that you reviewed, maybe we just pick through a few of these that are special to you and discuss them a little bit.”
Speaker
Shawn Wang
Publisher
Latent Space

358 / preference

I think one problem for me for designing these things with cost awareness is the question of, well, okay, at the baseline, you can just use the same model for everything, but realistically you have a range of models, and actually you just want to sample all range.

“I think one problem for me for designing these things with cost awareness is the question of, well, okay, at the baseline, you can just use the same model for everything, but realistically you have a range of models, and actually you just want to sample all range.”
Speaker
Shawn Wang
Publisher
Latent Space

360 / recommendation

I'll call out two recent papers which people might want to look into, which is a Salesforce yesterday released a paper called Diversity Empowered Intelligence, which is a, I think a shot at the bow for scale AI.

“I'll call out two recent papers which people might want to look into, which is a Salesforce yesterday released a paper called Diversity Empowered Intelligence, which is a, I think a shot at the bow for scale AI.”
Speaker
Shawn Wang
Publisher
Latent Space

361 / evaluation

You've done very well. And I think you've honestly done the community a service by reading all these papers so that we don't have to, because the joke is often that, you know, what is one prompt is like then inflated into like a 10 page PDF that's posted on archive.

“You've done very well. And I think you've honestly done the community a service by reading all these papers so that we don't have to, because the joke is often that, you know, what is one prompt is like then inflated into like a 10 page PDF that's posted on archive.”
Speaker
Shawn Wang
Publisher
Latent Space

362 / recommendation

We just assume that people roughly know, but yeah, I think a dedicated episode directly on this, I think is something that's sorely needed. And then, you know, something I prompted Sander with is when I wrote about the rise of the AI engineer, it was actually a direct opposition to the rise of the prompt engineer, right?

“We just assume that people roughly know, but yeah, I think a dedicated episode directly on this, I think is something that's sorely needed. And then, you know, something I prompted Sander with is when I wrote about the rise of the AI engineer, it was actually a direct opposition to the rise of the prompt engineer, right?”
Speaker
Shawn Wang
Publisher
Latent Space

363 / belief

I think the problem here comes from like, I think we understand how to do this in a normal ML context, but when you're trying to build AGI, the real world is everything.

“I think the problem here comes from like, I think we understand how to do this in a normal ML context, but when you're trying to build AGI, the real world is everything.”
Speaker
Shawn Wang
Publisher
Latent Space

364 / belief

Distill the knowledge of the benchmark into a model, and then obviously it's going to perform better on the benchmark. But I think what's less understood now is, um, you know, the sort of un gamable leaderboards, like the LMSys leaderboard, like some, it's also possible to game those things, and you can distill smaller models to do well on those.

“Distill the knowledge of the benchmark into a model, and then obviously it's going to perform better on the benchmark. But I think what's less understood now is, um, you know, the sort of un gamable leaderboards, like the LMSys leaderboard, like some, it's also possible to game those things, and you can distill smaller models to do well on those.”
Speaker
Shawn Wang
Publisher
Latent Space

365 / uncertainty

Is there any well known brand that People can link to, uh, you know, I know about like AI influencers, like on Instagram or AI wrappers, but I don't know about brand, uh, identities.

“Is there any well known brand that People can link to, uh, you know, I know about like AI influencers, like on Instagram or AI wrappers, but I don't know about brand, uh, identities.”
Speaker
Shawn Wang
Publisher
Latent Space

368 / prediction

So when you, when you quantize things, obviously you're going to lose precision because you just have less bits to store information in.

“So when you, when you quantize things, obviously you're going to lose precision because you just have less bits to store information in.”
Speaker
Shawn Wang
Publisher
Latent Space

371 / recommendation

Specifically because you brought up spreadsheets, I want to share my personal experience because I think Google has done a really good job that people don't know about, which is if you use Google Sheets, Gemini is integrated inside of Google Sheets and it helps you write formulas.

“Specifically because you brought up spreadsheets, I want to share my personal experience because I think Google has done a really good job that people don't know about, which is if you use Google Sheets, Gemini is integrated inside of Google Sheets and it helps you write formulas.”
Speaker
Shawn Wang
Publisher
Latent Space

372 / belief

I think one of the decisions before you as a CEO is how much you have like the house model be like the one true thing, and then how much you spend time working on customer models.

“I think one of the decisions before you as a CEO is how much you have like the house model be like the one true thing, and then how much you spend time working on customer models.”
Speaker
Shawn Wang
Publisher
Latent Space

376 / belief

I hope that I sort of editorialized the title a little bit, and I know you were slightly uncomfortable with it, but you just own it anyway. I think you're very good at the hot takes.

“I hope that I sort of editorialized the title a little bit, and I know you were slightly uncomfortable with it, but you just own it anyway. I think you're very good at the hot takes.”
Speaker
Shawn Wang
Publisher
Latent Space

377 / uncertainty

I was actually, we just did an interview with Yi Tay from Reka, I don't know if you're familiar with his work, but also another encoder-decoder bet, and one of his arguments was actually people kind of over-index on the decoder-only GPT-3 type paradigm.

“I was actually, we just did an interview with Yi Tay from Reka, I don't know if you're familiar with his work, but also another encoder-decoder bet, and one of his arguments was actually people kind of over-index on the decoder-only GPT-3 type paradigm.”
Speaker
Shawn Wang
Publisher
Latent Space

378 / belief

People consider Streamlit and Gradio to be the state of the art, but I think there's so much to improve, and having what you call web foundations and web fundamentals at the core of it, I think, would be really helpful.

“People consider Streamlit and Gradio to be the state of the art, but I think there's so much to improve, and having what you call web foundations and web fundamentals at the core of it, I think, would be really helpful.”
Speaker
Shawn Wang
Publisher
Latent Space

384 / belief

Open source is synonymous with local, private, and all the good things that people want. And I think their vision of even running this stuff on CPUs at a very, very fast speed by just being extremely cracked, I think is very understated.

“Open source is synonymous with local, private, and all the good things that people want. And I think their vision of even running this stuff on CPUs at a very, very fast speed by just being extremely cracked, I think is very understated.”
Speaker
Shawn Wang
Publisher
Latent Space

392 / belief

We just didn't have the paper beforehand. But I think, like, when I call Lama3, the synthetic data model is you have the license for it, but then you also have the roadmap, the recipe, because it's in the paper.

“We just didn't have the paper beforehand. But I think, like, when I call Lama3, the synthetic data model is you have the license for it, but then you also have the roadmap, the recipe, because it's in the paper.”
Speaker
Shawn Wang
Publisher
Latent Space

395 / belief

To me, I think a lot of people were trying to puzzle out the strategic moves between OpenAI and Apple here because Apple is in a very good position to commoditize OpenAI.

“To me, I think a lot of people were trying to puzzle out the strategic moves between OpenAI and Apple here because Apple is in a very good position to commoditize OpenAI.”
Speaker
Shawn Wang
Publisher
Latent Space

396 / belief

Some things don't change. But on top of that, I think one of the reasons I put vector databases inside of these wars is in order to grow, the vector databases have to become more frameworks.

“Some things don't change. But on top of that, I think one of the reasons I put vector databases inside of these wars is in order to grow, the vector databases have to become more frameworks.”
Speaker
Shawn Wang
Publisher
Latent Space

398 / commitment

I will call out, you know, they have some interesting experimentations with Mamba and Mistral NEMO is actually on the efficiency frontier chart that I drew that is still relevant.

“I will call out, you know, they have some interesting experimentations with Mamba and Mistral NEMO is actually on the efficiency frontier chart that I drew that is still relevant.”
Speaker
Shawn Wang
Publisher
Latent Space

403 / preference

I think I want to leave some discussion time open for miscellaneous trends that are happening in the industry that don't exactly fit in the four words or are a layer above the four words.

“I think I want to leave some discussion time open for miscellaneous trends that are happening in the industry that don't exactly fit in the four words or are a layer above the four words.”
Speaker
Shawn Wang
Publisher
Latent Space

406 / evaluation

These are the same things to the model. That is a huge, huge win for interpretability, because up to now, we were only doing interpretability on toy models, like a few million parameters, a model of Go or chess or whatever.

“These are the same things to the model. That is a huge, huge win for interpretability, because up to now, we were only doing interpretability on toy models, like a few million parameters, a model of Go or chess or whatever.”
Speaker
Shawn Wang
Publisher
Latent Space

407 / recommendation

We should basically, when we're getting to the point where we're over-training models 100 times past Chinchilla ratio to optimize for inference, the next thing is actually like, hey, let's stop using so much memory when training because we're going to quantize it anyway for inference.

“We should basically, when we're getting to the point where we're over-training models 100 times past Chinchilla ratio to optimize for inference, the next thing is actually like, hey, let's stop using so much memory when training because we're going to quantize it anyway for inference.”
Speaker
Shawn Wang
Publisher
Latent Space

408 / prediction

They will be building on architectures like Mobile LM and Small LM, which basically innovate in terms of shared weights and shared matrices for small models so that you just optimize the amount of file size and memory that you take up. And I think just general trend on device models, the only way that intelligence too cheap to meter happens is everything happens on device.

“They will be building on architectures like Mobile LM and Small LM, which basically innovate in terms of shared weights and shared matrices for small models so that you just optimize the amount of file size and memory that you take up. And I think just general trend on device models, the only way that intelligence too cheap to meter happens is everything happens on device.”
Speaker
Shawn Wang
Publisher
Latent Space

409 / uncertainty

Because I think that one of the burning rumors is, I don't know, nothing from Scott, I haven't talked to him at all about this, even though he's very friendly.

“Because I think that one of the burning rumors is, I don't know, nothing from Scott, I haven't talked to him at all about this, even though he's very friendly.”
Speaker
Shawn Wang
Publisher
Latent Space

411 / belief

I would say the diffusion people have actually started to swing back to pixel level and probably that will presage the language people also moving towards, you know, 1 million vocabulary and then, you know, whatever the natural limit is for character level.

“I would say the diffusion people have actually started to swing back to pixel level and probably that will presage the language people also moving towards, you know, 1 million vocabulary and then, you know, whatever the natural limit is for character level.”
Speaker
Shawn Wang
Publisher
Latent Space

412 / uncertainty

We still need to have, at the architecture level, some kind of variable inference length thing that lets you actually think in latent space, like you're talking about. I don't know if there's any papers that you're thinking about.

“We still need to have, at the architecture level, some kind of variable inference length thing that lets you actually think in latent space, like you're talking about. I don't know if there's any papers that you're thinking about.”
Speaker
Shawn Wang
Publisher
Latent Space

413 / belief

One of our previous guests, Brian Bischoff, is also asking about like, how do we think about evals for practical things like confidence estimation, structured output, you know, stuff like that.

“One of our previous guests, Brian Bischoff, is also asking about like, how do we think about evals for practical things like confidence estimation, structured output, you know, stuff like that.”
Speaker
Shawn Wang
Publisher
Latent Space

415 / evaluation

The other thing is RLHF came from the alignment community. And I think there's a lot of conception that maybe it's due to safety concerns, but I feel like it's really over the past two, three years expanded to just this produces a better model period, even if you don't really are not that concerned about existential risk.

“The other thing is RLHF came from the alignment community. And I think there's a lot of conception that maybe it's due to safety concerns, but I feel like it's really over the past two, three years expanded to just this produces a better model period, even if you don't really are not that concerned about existential risk.”
Speaker
Shawn Wang
Publisher
Latent Space

416 / prediction

To me, you know, I'm not exactly sure what you guys did, but like, I feel like when people say synthetic data, there needs to be different categories of synthetic data now, because I think there's so many different usage of this thing.

“To me, you know, I'm not exactly sure what you guys did, but like, I feel like when people say synthetic data, there needs to be different categories of synthetic data now, because I think there's so many different usage of this thing.”
Speaker
Shawn Wang
Publisher
Latent Space

417 / evaluation

We're basically saying that, I think that one of the lessons from AlphaGo is that people thought that human interest in Go would be diminished because computers are better than humans.

“We're basically saying that, I think that one of the lessons from AlphaGo is that people thought that human interest in Go would be diminished because computers are better than humans.”
Speaker
Shawn Wang
Publisher
Latent Space

418 / evaluation

I don't know how to describe, you've done so much work in a very short amount of time at Meta, but you were most notably leading Llama 2 and now today we're also coordinating on the release of Llama 3.

“I don't know how to describe, you've done so much work in a very short amount of time at Meta, but you were most notably leading Llama 2 and now today we're also coordinating on the release of Llama 3.”
Speaker
Shawn Wang
Publisher
Latent Space

419 / evaluation

Because I didn't know that, I don't know how much to believe, you know, like there's a lot of these kinds of papers where it makes a lot of noise, but it doesn't actually pan out.

“Because I didn't know that, I don't know how much to believe, you know, like there's a lot of these kinds of papers where it makes a lot of noise, but it doesn't actually pan out.”
Speaker
Shawn Wang
Publisher
Latent Space

423 / belief

I think the only other, before this, it was kind of like ML perf, that's the other big leaderboard that I can think about where, obviously, maybe AlexNet, specific competitions, specific benchmarks, but not something that aggregates across all the other benchmarks.

“I think the only other, before this, it was kind of like ML perf, that's the other big leaderboard that I can think about where, obviously, maybe AlexNet, specific competitions, specific benchmarks, but not something that aggregates across all the other benchmarks.”
Speaker
Shawn Wang
Publisher
Latent Space

426 / evaluation

Yeah, so I really like this concept of evaluation. So actually, yeah, I think there's typically what I always say is like sort of 25 is random chance, 50 is average human, 75 is expert human, 90 is you're cheating.

“Yeah, so I really like this concept of evaluation. So actually, yeah, I think there's typically what I always say is like sort of 25 is random chance, 50 is average human, 75 is expert human, 90 is you're cheating.”
Speaker
Shawn Wang
Publisher
Latent Space

427 / evaluation

Obviously, I think you're like our second or third person from Hugging Face on the podcast and it's like the definitional sort of open AI company, maybe the real open AI.

“Obviously, I think you're like our second or third person from Hugging Face on the podcast and it's like the definitional sort of open AI company, maybe the real open AI.”
Speaker
Shawn Wang
Publisher
Latent Space

428 / belief

I think. Okay. The last part that makes me uncomfortable about MOE debate is actually it's related to another paper that you wrote about the efficiency misnomer, in the sense that, like, now people are trying to make the debate all about the active parameters rather than total parameters.

“I think. Okay. The last part that makes me uncomfortable about MOE debate is actually it's related to another paper that you wrote about the efficiency misnomer, in the sense that, like, now people are trying to make the debate all about the active parameters rather than total parameters.”
Speaker
Shawn Wang
Publisher
Latent Space

430 / belief

We can make this the ending conversation, which is, I think you're an inspiration to a lot of other people who want to follow your career path, and, you know, I'm really glad that we got the chance to, like, walk through your career a bit.

“We can make this the ending conversation, which is, I think you're an inspiration to a lot of other people who want to follow your career path, and, you know, I'm really glad that we got the chance to, like, walk through your career a bit.”
Speaker
Shawn Wang
Publisher
Latent Space

431 / belief

I think in retrospect, you understand now that this is a very valuable experience. And I think now, today, it will be much more competitive to get the job that you got, whereas you didn't, you know, two years ago, you didn't have to try that hard to get it.

“I think in retrospect, you understand now that this is a very valuable experience. And I think now, today, it will be much more competitive to get the job that you got, whereas you didn't, you know, two years ago, you didn't have to try that hard to get it.”
Speaker
Shawn Wang
Publisher
Latent Space

433 / commitment

Like how do you, like, from the start of like, you haven't trained anything yet and you're about to kick off the run, like, are you able to like call your shots and say, we will beat GP 3.

“Like how do you, like, from the start of like, you haven't trained anything yet and you're about to kick off the run, like, are you able to like call your shots and say, we will beat GP 3.”
Speaker
Shawn Wang
Publisher
Latent Space

443 / uncertainty

Sorry, I, I should have used that word. So like, you know, I don't know if you have any commentary on like ra, deep seek Snowflake Quinn all these proliferation of Moe e models that seem to all be spars op cycle because, you know, you, you were advisor on, on the spars op cycling paper.

“Sorry, I, I should have used that word. So like, you know, I don't know if you have any commentary on like ra, deep seek Snowflake Quinn all these proliferation of Moe e models that seem to all be spars op cycle because, you know, you, you were advisor on, on the spars op cycling paper.”
Speaker
Shawn Wang
Publisher
Latent Space

445 / belief

I think that you navigate the meta very well, and part of my goal here is to also isolate how you think about the meta for other people to reflect on, because I think obviously you do it very well.

“I think that you navigate the meta very well, and part of my goal here is to also isolate how you think about the meta for other people to reflect on, because I think obviously you do it very well.”
Speaker
Shawn Wang
Publisher
Latent Space

448 / evaluation

Like, or So it's a very interesting observation where like, most efficiency work is just busy work, or like, it's work at a small scale that doesn't, that just ignores the fact that like, this thing doesn't scale, because you haven't scaled it.

“Like, or So it's a very interesting observation where like, most efficiency work is just busy work, or like, it's work at a small scale that doesn't, that just ignores the fact that like, this thing doesn't scale, because you haven't scaled it.”
Speaker
Shawn Wang
Publisher
Latent Space

449 / preference

Rules like that, mantras that you've developed for yourself where you're like, okay, I must do this. So for example, recently for me, I've been trying to run my life on calendar for a long time, and I found that the only way that I work is I write things down on pen and paper, and I cross them off individually.

“Rules like that, mantras that you've developed for yourself where you're like, okay, I must do this. So for example, recently for me, I've been trying to run my life on calendar for a long time, and I found that the only way that I work is I write things down on pen and paper, and I cross them off individually.”
Speaker
Shawn Wang
Publisher
Latent Space

458 / recommendation

Yeah, I mean, like Kubernetes, like that point about Kubernetes, I will say as a former AWS employee, like it seems like it would be ideal for imbue to at some point make it more abstracted or agnostic because you're going to want to, you know, replicate your setup.

“Yeah, I mean, like Kubernetes, like that point about Kubernetes, I will say as a former AWS employee, like it seems like it would be ideal for imbue to at some point make it more abstracted or agnostic because you're going to want to, you know, replicate your setup.”
Speaker
Shawn Wang
Publisher
Latent Space

459 / evaluation

One thing I'll, one thing I'll mention quickly is that a lot of the stuff that you mentioned is typically not part of the normal interview loop. It's actually really hard to interview for because this is the stuff that you polish out in, as you go into production, the coding interviews are typically about the happy path.

“One thing I'll, one thing I'll mention quickly is that a lot of the stuff that you mentioned is typically not part of the normal interview loop. It's actually really hard to interview for because this is the stuff that you polish out in, as you go into production, the coding interviews are typically about the happy path.”
Speaker
Shawn Wang
Publisher
Latent Space

460 / evaluation

I have some appreciation, I think when you had me on your podcast, I was still working at Temporal and that was like a nice Framework, if you live within Temporal's boundaries, you can pretend that all those faults don't exist, and you can, you can code in a sort of very fault tolerant way.

“I have some appreciation, I think when you had me on your podcast, I was still working at Temporal and that was like a nice Framework, if you live within Temporal's boundaries, you can pretend that all those faults don't exist, and you can, you can code in a sort of very fault tolerant way.”
Speaker
Shawn Wang
Publisher
Latent Space

462 / belief

I forgot to mention that you also run Ink and Switch, which is one of the leading research labs, in my mind, of the tools for thought productivity space, , whatever people mentioned there, or maybe future of programming even, a little bit of that.

“I forgot to mention that you also run Ink and Switch, which is one of the leading research labs, in my mind, of the tools for thought productivity space, , whatever people mentioned there, or maybe future of programming even, a little bit of that.”
Speaker
Shawn Wang
Publisher
Latent Space

463 / belief

I mean , I, I selected as one of my keynotes, Justine Tunney, working at LlamaFall in Mozilla, because I think there's a lot of people interested in that stuff.

“I mean , I, I selected as one of my keynotes, Justine Tunney, working at LlamaFall in Mozilla, because I think there's a lot of people interested in that stuff.”
Speaker
Shawn Wang
Publisher
Latent Space

464 / prediction

You even shared your job description, your reading list, and your interview loop. So, , if anyone's looking to hire AI engineers, I expect this to be the definitive piece and definitive podcast covering it.

“You even shared your job description, your reading list, and your interview loop. So, , if anyone's looking to hire AI engineers, I expect this to be the definitive piece and definitive podcast covering it.”
Speaker
Shawn Wang
Publisher
Latent Space

465 / evaluation

If some AI engineer would not know, I don't know what, , I don't know where we would stoop to, to call something required knowledge, , or you're not part of the cool kids club.

“If some AI engineer would not know, I don't know what, , I don't know where we would stoop to, to call something required knowledge, , or you're not part of the cool kids club.”
Speaker
Shawn Wang
Publisher
Latent Space

467 / evaluation

I, I do often say that I think AI engineering is about 90 percent software engineering with like the, the 10 percent of like really strong really differentiated AI engineering.

“I, I do often say that I think AI engineering is about 90 percent software engineering with like the, the 10 percent of like really strong really differentiated AI engineering.”
Speaker
Shawn Wang
Publisher
Latent Space

468 / recommendation

You know, use Mistral to rephrase some existing part of your data sets, generate more tokens, anything like that, or any other form of synthetic data that you choose to mention? I think you also mentioned the large world model paper, right?

“You know, use Mistral to rephrase some existing part of your data sets, generate more tokens, anything like that, or any other form of synthetic data that you choose to mention? I think you also mentioned the large world model paper, right?”
Speaker
Shawn Wang
Publisher
Latent Space

469 / evaluation

One thing I see in the recent papers that have been coming out is this sort of concept of multi-stage training data. And if you're doing full fine tuning, maybe the move or the answer is don't train 500 billion tokens on just code, because then yeah, it's going to massively overfit to just code.

“One thing I see in the recent papers that have been coming out is this sort of concept of multi-stage training data. And if you're doing full fine tuning, maybe the move or the answer is don't train 500 billion tokens on just code, because then yeah, it's going to massively overfit to just code.”
Speaker
Shawn Wang
Publisher
Latent Space

470 / evaluation

Yeah, I think, you know, the one thing that makes this sort of generative AI era very different from the sort of data science-y type era is that it is very non-deterministic and it's hard to control.

“Yeah, I think, you know, the one thing that makes this sort of generative AI era very different from the sort of data science-y type era is that it is very non-deterministic and it's hard to control.”
Speaker
Shawn Wang
Publisher
Latent Space

471 / belief

You know, people always trying to define the difference between ML and AI. And I think in AI, we definitely care a lot more about out of domain generalization and that's all under the umbrella of learning, but it is a very specific kind of learning.

“You know, people always trying to define the difference between ML and AI. And I think in AI, we definitely care a lot more about out of domain generalization and that's all under the umbrella of learning, but it is a very specific kind of learning.”
Speaker
Shawn Wang
Publisher
Latent Space

474 / observation

Or is there a mode where people are knowingly playing a game? Because you told me that you make more money when someone believes they're talking directly to the creator.

“Or is there a mode where people are knowingly playing a game? Because you told me that you make more money when someone believes they're talking directly to the creator.”
Speaker
Shawn Wang
Publisher
Latent Space

479 / belief

Perfect Well, thank you so much This is I think you're very naturally incentivized by Growing community and giving your thought and insight to the rest of us.

“Perfect Well, thank you so much This is I think you're very naturally incentivized by Growing community and giving your thought and insight to the rest of us.”
Speaker
Shawn Wang
Publisher
Latent Space

481 / prediction

You're very much known for sort of cognitive architectures, and I think, like, a lot of the AI research has been focused on simulating the mind, or simulating consciousness, maybe.

“You're very much known for sort of cognitive architectures, and I think, like, a lot of the AI research has been focused on simulating the mind, or simulating consciousness, maybe.”
Speaker
Shawn Wang
Publisher
Latent Space

482 / evaluation

It's just retrieval. And here it's like, The home of generative AI, this, whatever hyperstition is in my mind, like this is actually pushing the edge of what generative and creativity in AI means.

“It's just retrieval. And here it's like, The home of generative AI, this, whatever hyperstition is in my mind, like this is actually pushing the edge of what generative and creativity in AI means.”
Speaker
Shawn Wang
Publisher
Latent Space

483 / evaluation

When you say you need a certain set of tools for people to sort of invent things from first principles Devin is the agent that I think has been able to utilize its tools very effectively.

“When you say you need a certain set of tools for people to sort of invent things from first principles Devin is the agent that I think has been able to utilize its tools very effectively.”
Speaker
Shawn Wang
Publisher
Latent Space

490 / uncertainty

Yep. And then just to recap as well, like the models you were using back then were like, I don't know, would they like BERT type stuff or T5 or I don't know what timeframe we're talking about here.

“Yep. And then just to recap as well, like the models you were using back then were like, I don't know, would they like BERT type stuff or T5 or I don't know what timeframe we're talking about here.”
Speaker
Shawn Wang
Publisher
Latent Space

492 / uncertainty

You know, the fun thing you can do with a credit system, which is data for data, basically you can give people more credits if they give data back to you. I don't know if you've already done that.

“You know, the fun thing you can do with a credit system, which is data for data, basically you can give people more credits if they give data back to you. I don't know if you've already done that.”
Speaker
Shawn Wang
Publisher
Latent Space

494 / evaluation

Basically, I think I'm very just impressed by how first principles, your ideas around what the workflow is. And I think that's why you're not as reliant on like the LLM improving, because it's actually just about improving the workflow that you would recommend to people.

“Basically, I think I'm very just impressed by how first principles, your ideas around what the workflow is. And I think that's why you're not as reliant on like the LLM improving, because it's actually just about improving the workflow that you would recommend to people.”
Speaker
Shawn Wang
Publisher
Latent Space

495 / prediction

Now you just match the other two guys. And so that puts An insane amount of pressure on what gpt5 is going to be because it's just going to have like the only option it has now because all the other models are multimodal all the other models are long context all the other models have perfect recall gpt5 has to match everything and do more to to not be a flop

“Now you just match the other two guys. And so that puts An insane amount of pressure on what gpt5 is going to be because it's just going to have like the only option it has now because all the other models are multimodal all the other models are long context all the other models have perfect recall gpt5 has to match everything and do more to to not be a flop”
Speaker
Shawn Wang
Publisher
Latent Space

496 / belief

I think maybe the only new thing was this Reddit deal with Google for like a 60 million dollar deal just ahead of their IPO, very conveniently turning Reddit into a AI data company.

“I think maybe the only new thing was this Reddit deal with Google for like a 60 million dollar deal just ahead of their IPO, very conveniently turning Reddit into a AI data company.”
Speaker
Shawn Wang
Publisher
Latent Space

498 / belief

I went and looked at when Meta went from being a VR company to an AI company. And I think the stock I'm trying to look up the details now.

“I went and looked at when Meta went from being a VR company to an AI company. And I think the stock I'm trying to look up the details now.”
Speaker
Shawn Wang
Publisher
Latent Space

499 / belief

We definitely did see some leaks on GPT 4. 5, as I think a lot of people reported and I'm not sure if you covered it.

“We definitely did see some leaks on GPT 4. 5, as I think a lot of people reported and I'm not sure if you covered it.”
Speaker
Shawn Wang
Publisher
Latent Space

500 / belief

Wars are fought around limited resources. And I think probably the, you know, the most limited resource is talent, but the talent expresses itself in a number of areas.

“Wars are fought around limited resources. And I think probably the, you know, the most limited resource is talent, but the talent expresses itself in a number of areas.”
Speaker
Shawn Wang
Publisher
Latent Space
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