On our latest episode we’re talking about DeepSeek R-1, OpenAI’s Deep Research, ChatGPT Tasks, Operator, o3 models, the Stargate project, China’s cold fusion record, and K Eric Drexler talk 2024 on current nanotech.

Futuristic 35

[00:00:00 ] Steve Sammartino: What are you doing here, Steve? Sorry, I’m wasting your life.

[00:00:10 ] Cameron Reilly: This week on The Futuristic, tries to tighten up a microphone.

[00:00:16 ] Steve Sammartino: Yeah, yeah, that’s exactly what he’s doing and he’s failing massively. What’s going on with this? Why is this doing this? I did it, man. So good. Cameron, I did it.

[00:00:29 ] Cameron Reilly: You did it.

[00:00:30 ] Steve Sammartino: Can you hear me now? Is that good? Is that working? Cause I’m bad with microphones. It’s one of my

[00:00:35 ] Cameron Reilly: Yes.

[00:00:36 ] Steve Sammartino: suboptimal performance arenas.

[00:00:39 ] Cameron Reilly: Welcome back to The Futuristic, ladies and gentlemen, boys and girls. Um, this is episode 35, we’re recording this on the 7th of February 2025. Apologies, I’ve had so many people in the last month, Steve, say What’s going on with Futuristic?

[00:01:00 ] Cameron Reilly: Uh, there’s all this stuff happening and you guys aren’t explaining it to me and I’m like, uh, you know.

[00:01:06 ] Steve Sammartino: Steve,

[00:01:07 ] Cameron Reilly: Steve, Steve got sucked up into an AI vortex. Oh, hold on. I’ve got something. Hold on. Hold on. I nearly forgot. Um, there once was a chap, Samatino, who predicted the future bravino. He learned how to trade and he never got played.

[00:01:26 ] Cameron Reilly: Now money just flows like the vino.

[00:01:30 ] Steve Sammartino: he’s so fucking good. I wish you did that. It’s

[00:01:34 ] Cameron Reilly: Yeah. Well, I did tell the AI to do that and we went through like five or six drafts until I was happy with it. So, uh, it’s basically

[00:01:45 ] Steve Sammartino: So that’s a really, that’s, that’s a really important thing. People, I renovated a house once and people say, did you renovate it?

[00:01:53 ] Cameron Reilly: Mm

[00:01:54 ] Steve Sammartino: And I said, yes, they said, so you did it, you did all the bits, I said, no, no, I said, I renovated it, alright, because without me, it wouldn’t have happened. Don’t worry about who had the hammer in their hand, worry about the fact that the house went from this, to that.

[00:02:07 ] Steve Sammartino: And we need that mindset with AI.

[00:02:09 ] Cameron Reilly: Yeah. Well, Steve, it has been an absolutely bonkers month since we last talked. I, somebody was asking me, I think yesterday, about Futuristic and, um, I was like, like, every time there’s, I think, oh, we should do a show about that. A new thing happens the next day and it’s like, Oh my God, now we have to do something about that.

[00:02:31 ] Cameron Reilly: It’s almost like this needs to be a daily show now. There is so much going on. It is really, you know, I think I said this in our last show about the NVIDIA launch late last year when my jaw was on the floor listening to all the stuff that Jensen Huang was saying that the stuff that they’re coming out with.

[00:02:53 ] Cameron Reilly: And it’s been like that. For the last, ever since we last spoke, almost on a daily basis, I’m like, holy shit, I can’t believe that just happened. So, we’ll get into the news, there’s a lot to catch up on, we can’t cover everything, we’ll cover some of the highlights, but before we do that, Samatino, who flows like the vino, what, uh, tell us a little bit about what’s been happening in the world of futurism for you in the last month or so, since we last talked.

[00:03:28 ] Steve Sammartino: More corporate panic people ringing us up, we need someone to explain how this AI works. That. But the one thing that was interesting, one client. That I’ve been working with for a while, who is really bad at doing stuff. Some of the tools are so easy to implement. Now they crossed a little chasm in just saying yes to stuff because it’s an easy implementation.

[00:03:50 ] Steve Sammartino: It doesn’t seem to be a great deal of infrastructure. A lot of plugins, pretty easy. They’re working on a chat bot, not, not a new idea, but one that answers phones and gives specific directions to customers when people can’t answer phones in warehousing and that kind of situation, which they miss something like 7, 000 calls a year.

[00:04:08 ] Steve Sammartino: And they’re It’s a big organization with lots of outlets and all that type of stuff. I mean, it’s, you know, a handful a day in each location, but it adds up. And we, we figure that in the average order that they get is something like 700 bucks.

[00:04:23 ] Cameron Reilly: Yeah.

[00:04:24 ] Steve Sammartino: you know, you, the upside there is, is pretty huge. You know, we’re talking.

[00:04:29 ] Steve Sammartino: About big revenue. So I used, uh, ChatGPT in the verbal sense to design a chatbot script and conversation flow on 10 different types of topics. But I was literally working with it verbally in the way that you would work with a staff member.

[00:04:53 ] Cameron Reilly: Mm hmm.

[00:04:53 ] Steve Sammartino: Imagine you’re working in a wholesaling organization that sells these types of products with these types of customers.

[00:05:00 ] Steve Sammartino: Here’s what we need to do. Together we need to design, uh, chatbot scripts. Um, that’ll include the persona of the chatbot, the way it speaks, its verbiage and turn of phrase. Uh, the type of answers it has, the things it can answer, the things it can’t answer. I need you to remember all of this chat because you’re going to go away after the chat and take the pieces of it and put it into 10 different scripts explaining what the brief was and our outcomes and then the scripts of the areas.

[00:05:28 ] Steve Sammartino: And I need you to go into the AI that I built for these guys, I built them at GPT, and get Uh, the different types of products with the classic examples and substitutions and when people will call you back and when to ask for a phone number or an email blew my mind because I was doing it verbally. I haven’t got access to Operator yet.