Transcript generated automatically by AI and may contain errors.
Chapter 1: What is Perplexity Computer and how does it enhance workflow?
Happy Monday. What's going on, everybody? Welcome to the Daily AI Show. Today is March 30th, if you can believe it. We are one day shy of the end of Q1.
Chapter 2: How can AI tools optimize tax planning and liquidity?
And for all my folks out there in sales, best of luck finishing up the quarter. It's one thing when you're finishing up any month. End of quarters, end of years are always that much more stressful. So...
Chapter 3: What are the implications of Anthropic’s leaked Capybara model?
Good luck over the next day or so, and I hope that you hit some of your numbers. Like I said, this is The Daily Eyes Show, and I'm here with Andy Halliday. I'm Brian Visseri.
Chapter 4: How does Google’s TurboQuant improve AI inference?
I think we're two co-hosts for today. I know Beth is out, and I'm not sure about Carl. That may be the only wild card here. But that's okay. We got plenty to talk about. As always, when we come into Mondays, there always seems to be quite a bit of information that trickles in over the weekend. And so we want to get you caught up on that first.
Chapter 5: What is Arc AGI-III and its significance in AGI development?
And then I think I have another perplexity computer demo to show that I did over the weekend, Andy, that was just for fun for something my wife and I were having discussions about. And actually, I was really, really impressed. It's one of those... I'll preface it by saying it's one of those things where you go... I don't even know if I can compute.
My wife and I tried to think about what would the human process have been and how long would it have taken us to manually do it? And we couldn't even really come up with a viable answer. That's how much time this particular process had saved.
Chapter 6: How is domain-specific AI transforming customer support?
And so I thought, oh, wow. And so it was actually great because I had an opportunity to demonstrate what these tools are doing to my wife and just to kind of keep her up to date with it, whatever. But also it was something that was very, you know, almost tactile, not tactile, right? It's on the computer screen, but very, very right there.
And, you know, you could play with the buttons and push around and, you know, I explained to her how we, how I built it and stuff like that. So I think I'm going to demonstrate that just because it's fun and I think it's part of some of these tools. I've also, before we get into the news, Andy, I've been putting together a training video internally for scale that I've decided to do.
And I started with Clogged Code, and then I moved into Codex, and then I went into AI Studio, and then Perplexity Computer with a bunch of demos I've built out all the time. So now these poor souls at scale are about to get about a 30-minute video from me, but I'm going to show them.
Chapter 7: What are the benefits of set-it-and-forget-it AI tasks?
I created zip files that are quick starts for Codex and CloggedCowork. So I said code, but cowork for my coworkers, no pun intended, where you just give it the zip file and it says, hey, I'm CloggedCode and here's what we need to do.
Chapter 8: How are lightweight tools changing 3D creation workflows?
So it's a little bit kinder, gentler, not that they're bad and they are, but I think there's a little bit to be desired in terms of when you just first start, like what am I supposed to do here? And so what I did was I created scaled versions of like quick start guides that they just give it a zip file. And it's like, here's what you should do first. And then it's got a couple of basic skills.
Like I have a really nice one actually that's running in cloud code that works beautifully, but it's reading my emails and bringing back action items, but it keeps it an updated ledger and goes when I check things off simple, but actually, I ran it this morning and checked it. I was like, I found two emails that I'll be honest, had gotten a little buried. And it's like, this is a high priority.
You have not responded back to so-and-so on this request for a client. I was like, yeah, that's, that's true. It's.
Yeah. So, you know, that's a natural use case for people who want to start to do something with the agentic features of cloud code and, or specifically co-work and the new scheduled tasks thing. And it is to take a look at just optimizing the drudgery of having to review and keep track of everything in your email inbox.
I've actually created such a thing, I was just mentioning it before the show, that does a digest for me of all of the newsletters that I receive in my inbox. And that's been very, very handy. It definitely...
took a load off of me but i i haven't really decided to do that for my general inbox and all the information that's in there in part because google i use gmail so yeah google has a thing called cc and i'm in the sort of the beta group for cc which is a digest that creates a
exactly that out of you know it basically gives you a list of of the things you need to attend to that you may not have attended to and so i haven't built it for myself because google's doing it for me yeah and then and there's just gonna be more of that right where you know we build off these tools and they're helpful cloud code and then you're right it'll be it'll just be this thing that's easily done by the way i have a lot of including my ceo who uses that tool superhuman
I have access to it. It's scaled. Nothing scaled is done. It's been my own, I don't know, not resistance, but unwillingness to put the time in to just get it right. But I hear amazing things about tools that already exist. So I know I'm reinventing the wheel here. It's good to see what it can do. Working in Codex has been a bit more of a learning curve.
It couldn't actually, despite building the skill, couldn't actually do the Gmail, the same inbox functionality, which is crazy because it has a plugin for Gmail that I connected and it still was running into error. And it ultimately said, we think this is a bug. That's what Codex did.
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