Latent Space / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
21 published records
01 / uncertainty
“I'm someone who has come from a, a long background with React, the JavaScript framework. I don't know if you.”
02 / belief
“I tested it out with, with a bunch of friends you know, who did not have tag backgrounds or worked in tag but weren't like engineers and it like and they resonated and they were able to pick it up. But I think you'll see updates in the works where I meet people where they are in terms of like, people who, especially like really hate xml.”
03 / belief
“I think the Expedia one said, please do not mention any other travel website on the internet.”
04 / belief
“Not to be a downer, but I do think that like how hard it is to truly take these things to production and like get consistently amazing user experiences from it. But I think like this, yeah, we're at that stage where there's basically like a little bit of a gap between like what, what you kind of [00:56:00] see as being very exciting.”
05 / belief
“I think like, I basically have an idea always of like this is tldr what I want this email to say.”
06 / uncertainty
“The pace of the good AI projects that I've seen out there, like LangChain launches 10 things a week or whatever, I don't know.”
07 / belief
“I think I'm also thinking about what are, what are interesting ways to be able to like whittle down very deeply into like what kind of went wrong or what is going right when you're like running, running an application and like what the nice kind of interface to design that would be.”
08 / belief
“I think he basically, apple was like, you gotta go [00:48:00] back to the office.”
09 / belief
“I think that's a great question, and I think just this way of thinking about invariables, et cetera is something that is very core to how I've been thinking about this problem and like why I also chose to work on this problem. So, I think again, and this is like guided by some of my past experience in machine learning and also kind of like looking at like how these problems are, how like other applications that I've had a lot [00:19:00] of interest, like how some of the ML challenges have been solved in there.”
10 / belief
“I think the apple, apple standing by with like a blow dart if you, if like, say anymore.”
11 / uncertainty
“Talk to Amelia, who works on GitHub next. They, they build copilot labs and there's the voice component, which I don't know if you've tried.”
12 / evaluation
“I'm building an agent internally for us. And Guardrails are obviously very exciting because once you set the initial prompt, like the model creates its own prompts.”
13 / preference
“I'd looked into it very briefly, but I mean, I think for my, for my own workflows, I wanted to make it like as easy as possible to like wrap whatever LLM API calls you make.”
14 / observation
“I think I've seen like one of the first actually community projects that was like built using guardrails, like had chaining and then had like different rails for each node of that chain.”
15 / prediction
“But good luck with the rest of your fundraise. But it's like, never mention a fundraise, but because in the prompt, it, as part of the prompt is like, if it's a pitch and it's not in the space, a pre-draft, an email, it thinks it has to do it a lot more than it should.”
16 / evaluation
“Yeah. This is super interesting because right now a lot of products are kind of the same because all I do is they call it the model and some are prompted a little differently, but you can only guess so much delta between them in the future.”
17 / preference
“I think at the same time the technology is so exciting that you, you get like, Driven by wanting to use it. But I think like really thinking about like what's the best way to use it along with like other systems that have existed so that it's more kind of like task focused and like outcome focused rather than like technology focused.”
18 / recommendation
“I would be able to argue for LMQL because SQL is the proven language for business analysts.”
19 / evaluation
“Yeah, the copy example is interesting because [00:32:00] I think for any of these things, the SLAs are purely on like content and output, not on time.”
20 / evaluation
“I think the sequel thing, for example, it's very exciting because I had just released this like two days ago and then I already got some inbound with like people kinda swapping, like building these products and of swapping it out internally and you know, getting a lot of value out of what the sequel bug-free SQL provides.”
21 / evaluation
“I think like in the very first week that Guardrails was out, like somebody reached out to me and they were pm and they essentially were like, I don't, you know there's a lot of people on my team who would love to use this, but just do not write code.”