High Signal Podcasts Evidence ledger
Method
Browse
How the evidence works
← All source episodes

Latent Space / episode intelligence

Windsurf: The Enterprise AI IDE - with Varun and Anshul of Codeium AI

13 Dec 2024 24 published claims 2 attributable people
Open original episode ↗ Read the evidence

Speakers in the public record

Alessio FanelliShawn Wang

Claim mix

belief 12recommendation 3evaluation 2prediction 2uncertainty 2commitment 2observation 1

Evidence policy

Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.

Claim ledger

The useful parts, with receipts.

24 published records

01 / evaluation

The things like autocomplete and supercomplete that run on every keystroke are entirely, like, our own models. And, by the way, that is still because properties like FIM, fill-in-the-middle capabilities, are still quite bad with the current...

“The things like autocomplete and supercomplete that run on every keystroke are entirely, like, our own models. And, by the way, that is still because properties like FIM, fill-in-the-middle capabilities, are still quite bad with the current...”
Speaker
Not verified from transcript
Publisher
Latent Space

02 / prediction

works without, like, any, like, intent-based information, sure, that can become, like, fully agentic. And, like, we will learn what those tasks are, like, pretty quickly because we have a lot of data.

“works without, like, any, like, intent-based information, sure, that can become, like, fully agentic. And, like, we will learn what those tasks are, like, pretty quickly because we have a lot of data.”
Speaker
Not verified from transcript
Publisher
Latent Space

07 / belief

I think that's like Swyx and I were talking like, maybe we can write this because we're like one of the first products that people can actually use with AI.

“I think that's like Swyx and I were talking like, maybe we can write this because we're like one of the first products that people can actually use with AI.”
Speaker
Not verified from transcript
Publisher
Latent Space

09 / belief

Like I do think with things like Cascade and these agentic systems like we are starting to get onto powerful because like there's so many pieces like from a UX perspective that make Cascade really good like it's just really like micro things that are like just all over the place but as you know we're streaming in we're showing like the changes we're like allowing you to jump and open diffs and see it we can run background terminal commands you can see what like what's running background processes that are running like there's all these like small UX things that together come to a really powerful and intuitive UX I think we're starting to get there.

“Like I do think with things like Cascade and these agentic systems like we are starting to get onto powerful because like there's so many pieces like from a UX perspective that make Cascade really good like it's just really like micro things that are like just all over the place but as you know we're streaming in we're showing like the changes we're like allowing you to jump and open diffs and see it we can run background terminal commands you can see what like what's running background processes that are running like there's all these like small UX things that together come to a really powerful and intuitive UX I think we're starting to get there.”
Speaker
Not verified from transcript
Publisher
Latent Space

11 / belief

Like we were first, like this GPU virtualization company pivoted to this. And then after that, we're making some changes and like, I think there's like a versatility of the company and like this, this ability to move where we think the instinct, we have this instinct where, and by the way, the instinct could be wrong, but if we smell something, we're going to move fast.

“Like we were first, like this GPU virtualization company pivoted to this. And then after that, we're making some changes and like, I think there's like a versatility of the company and like this, this ability to move where we think the instinct, we have this instinct where, and by the way, the instinct could be wrong, but if we smell something, we're going to move fast.”
Speaker
Not verified from transcript
Publisher
Latent Space

12 / belief

What really matters here is like across a broad set of tasks, you're performing like high quality sort of suggestions for people and people love using the product. And I think actually like the way these things work is beyond a certain point, because yes, I actually think it's valuable beyond a certain point.

“What really matters here is like across a broad set of tasks, you're performing like high quality sort of suggestions for people and people love using the product. And I think actually like the way these things work is beyond a certain point, because yes, I actually think it's valuable beyond a certain point.”
Speaker
Not verified from transcript
Publisher
Latent Space

13 / belief

Yeah, maybe, Alessio, one thing that I think about a lot, because I do think about this, the Perseat, anything, all of this stuff, I think about a good deal.

“Yeah, maybe, Alessio, one thing that I think about a lot, because I do think about this, the Perseat, anything, all of this stuff, I think about a good deal.”
Speaker
Not verified from transcript
Publisher
Latent Space

18 / commitment

We, like, I will say this, the super complete product that we have has gone materially better because of us not only using synthetic data, but also getting the preference data from our users of like, hey, given these set of trajectories, here's actually what a good outcome is.

“We, like, I will say this, the super complete product that we have has gone materially better because of us not only using synthetic data, but also getting the preference data from our users of like, hey, given these set of trajectories, here's actually what a good outcome is.”
Speaker
Not verified from transcript
Publisher
Latent Space

19 / uncertainty

Yeah I mean I think like I don't know if this is just the nature of our company like you know I think there's something you said like there's all like the San Francisco AI companies and like everyone's like hyping each other like on the tech and everything which is like great the tech's really important.

“Yeah I mean I think like I don't know if this is just the nature of our company like you know I think there's something you said like there's all like the San Francisco AI companies and like everyone's like hyping each other like on the tech and everything which is like great the tech's really important.”
Speaker
Not verified from transcript
Publisher
Latent Space

20 / 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

21 / 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

23 / 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
Search evidence