The Robot Revolution

The Robots are coming! We are talking about the latest in GPRs (general purpose humanoid robots), Apple cancelling their car project, Gemini 1.5 Pro testing, Biden’s plan to ban voice impersonation, the decline of TV viewership, and Deep Mind CEO Demis Hassabis’ views on AlphaZero sitting atop LLMs on the AGI stack.

FULL TRANSCRIPT

Futuristic 22

[00:00:00] Cameron: Welcome to Futuristic episode 22. Uh, forgive me, father, for it has been a month since our last recording. And by father, I’m talking about Steve. I don’t know. Hey, how

[00:00:27] Steve: Uh, definitely my fault. Definitely my fault. By the way, Cam, Futuristic22, I was on TikTok this morning.

[00:00:35] Steve: This one business cat has some, one of those guys that has good

[00:00:38] Steve: advice. And he was talking about how

[00:00:39] Steve: to

[00:00:40] Steve: build your brand and all that kind of stuff. And he said that only 9 percent of podcasts

[00:00:44] Steve: make it to episode 50.

[00:00:45] Steve: So we’re nearly halfway.

[00:00:49] Cameron: Ah, yes. F22. Uh, Steve, what have you done in the last month that you can impress us with that’s related somehow to emerging technologies?

[00:01:02] Steve: Yeah, I’ve been working with a few of my clients on trying to build out bespoke

[00:01:08] Steve: corporate AIs and we’ve messed around a lot with building GPTs. For the companies. One of them’s an electrical company that I work with

[00:01:16] Steve: and we’re building Sparky AI, which is a go to tool for electricians, you know, code standards, all that kind of stuff, and it’s not bad, but I think that GPTs are never really going to solve the corporate problems the way that I, and I’ll be quick on this, the way that I see it, there’s going to be three types of AIs that emerge, there’s going to be What I call global AIs, which are the general purpose AIs that we all use, like Gemini and ChatGPT.

[00:01:42] Steve: They’ll eventually be personal AIs. I think Apple might be doubling down to move towards that, where it’s your kind of quasi digital twin. And then in the middle, there’s the corporate AI. And we might liken that to an intranet or a wiki, but with functionality to do things, not just serve up information.

[00:01:59] Steve: And even though Microsoft is doing that with their co pilot, it seems very, let’s say, uh, efficiency tools centric. You know, help you with PowerPoints and finances and spreadsheets. But I can’t help but think that All of the AIs that are being worked on, none of them will really be able to work through the complexity of a person, of a corporation’s data pool or data lake, which are really, really complex.

[00:02:25] Steve: And I’m now working with a company called Actualization AI, who do a combination of Training on internal data pools, using open, uh, LLM models and solving specific business problems with specific AIs. I feel like that’s going to be a big growth industry, uh, simply because, you know, the world is messy and complex and even two companies in the same industry, fundamentally different, you know, they have different pieces of data from different places that have been accumulated over the past 30 or 40 years.

[00:02:58] Steve: And I feel like, you know, Those kind of closed system AIs that need to be built out in a bespoke manner is going to be a big thing.

[00:03:06] Cameron: So tell me, from your perspective in the corporate world, what are your clients looking for AIs to do for them? What are their current ambitions for AI?

[00:03:18] Steve: Two