Monetizing AI Interaction Models Revealed

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0:46Menards Garden Center is back in bloom. Stop in today to get your garden on. Check out fresh deals happening now at Menards. Save big money at Menards. Welcome to the AI Hustle podcast. Yeah, today on the show, we're talking about a brand new product that is coming out of Thinking Machines. It is a AI model that essentially listens while it talks. So similar to a human, a lot of times we've had this latency issue with things like 11 Labs or other of these kind of AI voice receptionists. There's so many different industries that this applies to, but there's a latency where you speak and it has to try to take in all the data, compute it, think of its response, and spit it out to you as fast as possible.

1:28And there's kind of a little latency gap. So they're trying to solve this by essentially having the AI model listen and actively taking information while it's also talking and be able to do this kind of simultaneously like a human would. We're going to get into all of this. It's fascinating also because this is coming out of Thinking Machine, which is from Miriam Murati, who's raised a ton of money and hasn't had a ton of products come out. So anyways, a lot to get into here. But before we do, I wanted to mention, if you haven't already joined our AI Hustle School community, we would love to have you as a member.

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2:31So lots of people that are actively building and sharing what they're working on. And we'd love to have you be one of them. So I'll leave a link in the description to that. Jamie, kicking over to this story with Thinking Machine Labs, I guess, what was the most interesting part of this software to you? Because I know you personally are working on and you have tools and you help businesses with kind of these AI receptionist kind of things. So for you, what are your first thoughts on this? I mean, I think this is a great idea. I think that's a real problem that they need to solve because even if you have really quick latency with, let's say, an AI receptionist, there's still a little bit of unnatural lag that happens between the time you finish speaking and then it starts talking back to you.

3:14And sometimes even if you pause, but it's a natural pause, like I just stopped talking for a moment, it will start responding even though you haven't finished your thoughts. So I, you know, I think there's up to this point, this AI, you know, receptionist AI voice agents have gotten really good, but they're still not quite to that, that human level yet, where, you know, as I'm talking right now, you could be, you're, you are thinking and processing what I'm saying. A traditional, you know, agent will, it has to first turn all of your, your, what your sentence into a text, then figure out the context and respond.

3:54And it's kind of like a chain process where this is trying to make it more conversational. Anyways, I think it's a great idea. I also think it's interesting because we've talked about Thinking Machines Lab on this podcast before and how it's kind of funny because their website was very cryptic for a long time. Yeah. Last year, they raised$2 billion in last July, giving them a$12 billion valuation, yet they had no product. So it was basically, from my perspective, all based around Miriam Marati's name, her credibility, and things like that. All that to say is we finally have a product or at least they're calling it a research project.

4:39They haven't officially released a product yet, But I think it's going to actually solve a really a big problem. And I think, you know, the valuation maybe will be legit. So what are your thoughts on it, Jayden? Yeah, I mean, I do think one of the interesting parts about this whole business, I want to get into this, some of the technical stuff here, because I do think it's really fascinating. But like, as far as the whole business, because we've talked about Thinking Machine before and we're like, you know, like they've raised so much money and it's all kind of off of Maria Moratti. One interesting thing about her, though, that I will say is she is probably a multi-multi-billionaire just from her OpenAI stake.

5:13So when she goes and raises a couple billion dollars, people aren't like just giving it to someone, I guess, that is just pure, you know, kind of clout and credibility. There was recently an article that I talked about how Ilya Seskover, one of the other co-founders of OpenAI, he went up on trial to kind of defend why he kicked out Sam Altman. Anyways, there's all the drama between Elon Musk and Sam Altman trial. My favorite thing about the trial, though, is that we're getting all of the like nitty gritty details because of discovery and because it's like a legal case that you don't get anywhere else.

5:42And in all of that, he had to reveal that he has about a seven billion dollar OpenAI stake. So he's one of the co-founders with Miriam Moratti, one of the originals. So you can imagine Miriam Moratti, maybe she may have joined like a little bit later and maybe he was a little bit more of an OG. But I mean, she's got to have somewhere between four and seven billion dollars in equity or a stake in OpenAI, especially as it's kind of growing and stuff. So she's over there doing her thinking machine lab. She's, you know, raising it like a$2 billion valuation. She's raising$2 billion for it. Let me get a higher valuation.

6:14But she also has like a massive fortune just tied to opening eye. And at the end of the day, like that's where she can make a lot of her money. So anyways, I do think that's a very interesting part of the whole story. But as far as the tech of what they've released, I actually love it. I think I was, you know, I was really curious what she was going to come out with. because obviously if she was just trying to make another competing LLM to chat GPT, which they very well might, who knows? But like, it didn't seem like it was, I don't know, you know, you go leave OpenAI and just make another OpenAI clone.

6:42This is cool because it's something completely unique, which is kind of what I expected her and even Ilya is working on something. And they're making these kind of completely unique platforms and solutions that didn't exist before. And so specifically what they have done with this, it's called a full duplex. That's the technical term. And like you mentioned, voice assistants right now, they run on this what's called a sequential loop. So I'm talking, it listens, it transcribes it, it sends it back. But when you have an actual conversation with someone, you'll know it's quite a bit different, right?

7:11Like, especially imagine like a heated argument. I'm thinking of like a podcast, but maybe you have a heated argument with someone you know, and like you kind of talk over each other and they say something and you say no and then whatever, right? Or like a negotiation that's like really active or people like talking really fast and they're all talking over each other. that is incredibly hard slash impossible for an AI model. I'm just thinking about myself having conversations with chat GPT on their voice mode, which of course the voice mode, it sounds natural. It sounds good. But the problem with chat GPT voice mode is it's like giving me a long response and it kind of already answered the question in the first half of its response.

7:43And so I'm like, okay, anyways, like, I don't really need that. Like move on. Tell me more about this. As soon as I start talking, it's like, it like freezes. It's like, uh, sorry, I missed that. What did But just like, you know, it just like cuts itself off. And it's like has this awkward moment where if I was just talking and I had kind of maybe it would finish its sentence and listen to me at the same time and then immediately start talking to me throughout it. And it's kind of reminds me of what we're actually getting out of something like Claude co-work or maybe even OpenAI is kind of doing this too, where mid response, you can actually ping it with new information as it's kind of writing out its response and it will change dynamically the response, which for quick little responses isn't that important because it does them pretty fast.

8:24But when it's doing like something like Cloud Cowork, it's doing like this massive multi-step project or building a website or a web page for you. And, you know, it takes five minutes and halfway through you send it a message and then it can kind of pivot and change. I don't know. It feels like the same concept, but they've done this in a technical way where it's not seconds or minutes. It is milliseconds that they're able to get the turnaround and latency down, which is incredible. Yeah. I mean, what do you think the implications are for this because right now, I think people are still turned off by the idea of, for example, AI receptionists.

8:56So it takes a lot of ability. You have to be very creative in how you present that to somebody as far as something that they would want for their business, especially because people are thinking back two years to the last time they called tech support somewhere and they had to talk to like a very robotic answering service. And they're like, I absolutely don't want that. It's changed a lot already, but this is kind of going to take it to the next level. So you know, how do we, what are your thoughts as far as like, how long will this take to be adopted by, by the masses or at least by, by companies so that they feel comfortable with this?

9:33So, yeah, I mean, I think there is a limited research preview that's coming in the next few months. They're going to have a wider release later this year. I think until this piece of the puzzle gets solved and I'd be so curious if OpenAI just clones this, which very possibly they can, or if people integrate with them to help them do it. I'm not sure what the, you know, how technical it actually gets. But I think until this piece of the puzzle is solved, people are still going to feel like it's quite robotic because if you're talking and it's talking and then it pauses and you have this glitch, it's just this awkward moment and just feels like a robot and we don't like it.

10:07I think at the end of the day, the AI receptionist idea will be fully realized and people won't mind or care if it is sounds perfect acts perfect um it accomplishes everything in ai reception and a receptionist got accomplished maybe it has all of the same authorizations to issue refunds or whatever like for me when i talk to chat bots um on a company's website if it can issue me my refund or help me with my problem or you know whatever the issue is if it has authorization to actually solve my problem for me i don't care if it's a human in fact i'd rather it not be a human i'd rather just talk to a bot that can solve my problem But the problem is a lot of times we talk to these bots and they ask all these questions.

10:43They're like, let me root you to a human. And then it's just annoying. You just feel like you kind of wasted your time. Like there was a screener kind of like screening you. So I think that's probably part of the issue. And then there's like the whole latency problem, which is what they are basically solving here. And I think once this rolls out and with the right authorization, these bots will be awesome. The other thing that I do think is interesting, because you mentioned this a couple times of how people don't really like the concept of AI. And even when you talk about a receptionist, they have these bad experiences they think back to.

11:09One thing that I think would give people a better, more positive connotation to all of this is less of replacing a person with the AI. So like replacing a receptionist with the AI and more of, hey, you can do more than you did before. Like, you know, before your customer support people, they would get around, you know, within six to 12 hours to customer support requests. Or maybe you're getting super bogged down. You get days behind. Like, you know, that's a very bad experience. or maybe you're really bad at calling people back and it just doesn't happen. So I think pitching things is like, you were unable to do this before and now you're able versus like, you can, you know, now I just can replace that person or do it a little faster.

11:49Like a little better isn't as good as like, you are dropping the ball in this whole area and now this is gonna fix that problem. So I don't know. That's a kind of a perspective shift that I think might be a better pitch for people. For sure. I have one more question for you because I just thought of this, But, you know, someone who is has seemed to expand beyond just like voice agents recently that I've noticed has been 11 labs. You know, they have they've adopted on some actual agent functionality. They have, you know, a little music production. They're really trying to expand on beyond voice just to audio in general.

12:27Do you think I mean, I feel like that would be a perfect pairing with Thinking Machines product here, the full duplex. do you think they're going to partner with someone like that or do you think they're going to try to um i'm just trying to think of how they can market this and actually make money off this this new development they've uh come up if it's incredibly hard and technical and like they solved something that's very difficult for other people to solve then i would see companies like 11 labs 100 partnering with them on this um if it's just like they figured out something cool but they figured out at first and everyone else can kind of figure it out which is what it feels like happens so often in AI, right?

13:01Like as soon as OpenAI is like, we have a reasoning model and it's just running through a whole bunch of prompts. Everyone could kind of see how the reasoning worked. They reverse engineered it. All the Chinese labs cloned it. And then now we all have the reasoning models because they weren't like a crazy technical thing to figure out. If that's the case, then I think you'll probably see companies like OpenAI and Google roll their own version of it. You might see OpenAI and Google roll their own version regardless because they don't really like integrating or working with other people. They can just try to figure out how to figure it out.

13:30But yeah, for a lot of smaller companies, I mean, OpenA11 Labs is getting to be one of the bigger companies now. But for ones that aren't OpenAI and Google, I think you'll see a lot of partnerships with them to be able to get stuff down. I mean, they're able to get the response time in 0.4 seconds, which is faster than OpenAI and Google. And I mean, they solve a real problem. But my question is, when they say, look, limited research preview is coming in the next few months, why do I roll out later this year? it's like, yeah, as later this year as Google and OpenAI are not going to have figured this out and already rolled this out.

14:00So I think that'll be the big question is timing. For sure. Yeah, no, thanks for your input. Hey, if you enjoyed this episode, we'd really appreciate a rating or review. If you're listening, those help us reach more people. And we really appreciate them. Also, be sure to check out our AI Hustle School community. We release bonus content over there each week about how you can actually use some of these tools. We try to stay up to date on the latest ones that are released and give you guys tutorials. Try them out. See if they can actually make you money. You're going to want to check out our school community.

14:30We'd love to have you be a part of it. Thanks for listening and we'll see you next time. You know what? It sucks to be bored. But when I get on my phone and play real casino games on SpinQuest.com, the time flies by. That two-hour wait at the DMV seems like 10 minutes. Play your favorite slots. Live blackjack, live preps with a live dealer. New players,$30 coin packs are on sale for$10. Play spinquest.com and you'll never be bored again. SpinQuest is a free-to-play social casino. Avoid where prohibited. Visit spinquest.com for more details. Spring has sprung and big savings are in full bloom at Menards.

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