Latest / Connor with Honor: AI, Real Estate and Real Life / What will be your AI partner of choice to help you navigate through the rest of your life by Connor with Honor

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What will be your AI partner of choice to help you navigate through the rest of your life by Connor with Honor · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  SPEAKER_00: I don't even think I have to say that like this week in AI it's been incredible or this month because that's all it's going to be from this moment on.
• 0:08
  SPEAKER_00: Well, from the past, well, since 2022, November, God, was it November 30th, 2022?
• 0:15
  SPEAKER_00: Chat GPT.
• 0:16
  SPEAKER_00: Yeah, that's uh that's that's pretty much been the whole story all across the board up until today, and it's only going to continue.
• 0:23
  SPEAKER_00: Some people are opining there happens to be an AI bubble looming with the way this technology is moving, and it still hasn't tapped us out yet.
• 0:31
  SPEAKER_00: I don't think there's a bubble on the horizon.
• 0:34
  SPEAKER_00: I know there's a lot of money exchanging hands up at the top, and some of that money is, you know, kind of moving in a circular type way.
• 0:42
  SPEAKER_00: You look at the top end of the stock market, yeah, it's all pretty much based on some companies that have something to do with AI, some kind of artificial intelligence, whether it's the supply chain side or the actual development side.
• 0:55
  SPEAKER_00: There's just a lot going on in that world.
• 0:57
  SPEAKER_00: But again, it's it's just really amazing the speed at which this technology is moving.
• 1:03
  SPEAKER_00: I will uh give you a few ideas, things to look for as well, talking about what's happening.
• 1:08
  SPEAKER_00: So if you've been watching the headlines this January, you have seen the noise.
• 1:12
  SPEAKER_00: But if you look at the data, there's three specific signals that tell us exactly where 2026 is potentially going to go.
• 1:18
  SPEAKER_00: And now we're in the uh the singularity, as Elon Musk says and a few others kind of agree.
• 1:23
  SPEAKER_00: Basically, we're moving into a place that we really can't see what the next moment is going to reveal.
• 1:29
  SPEAKER_00: There is still a lot of human innovation, human ideas, human developments on how to make these systems better, to make them more agentic.
• 1:38
  SPEAKER_00: But now they're starting to work on themselves.
• 1:40
  SPEAKER_00: They're starting to provide their own updates, their own coding changes within their own models.
• 1:45
  SPEAKER_00: So uh it's a lot different than, you know, they used to, we used to program computers, basically showing it how to do something.
• 1:53
  SPEAKER_00: Now it's kind of like raising a kid.
• 1:54
  SPEAKER_00: You don't want to show them everything.
• 1:56
  SPEAKER_00: You just kind of want to let them figure things out for themselves.
• 1:59
  SPEAKER_00: This is where the AI research comes in and how these systems start to become more developed by basically giving them more free range to do their own figuring things out.
• 2:10
  SPEAKER_00: But of course, having guidelines, because, you know, with kids, you don't want them to stick something into an electrical socket.
• 2:17
  SPEAKER_00: Well, my dad probably would have wanted to see what was going to happen, but ultimately you don't want them to stick a fork in there, and that would be that could be really, really bad, have tragic consequences.
• 2:27
  SPEAKER_00: The same thing we don't want with AI, we don't want them testing something because they're really not sure what's going to end up happening.
• 2:34
  SPEAKER_00: So we have to have at least that alignment in there, and hopefully the people that are doing this research, the people that are putting it together, are gonna have enough of that built into it.
• 2:42
  SPEAKER_00: So at least they're gonna get some idea of what the systems are doing.
• 2:46
  SPEAKER_00: But if you look on that side of it, it's kind of disconcerting that they're not really sure how these things are doing the things that they're doing in some cases.
• 2:54
  SPEAKER_00: We move on even further in the future, and we're probably not gonna have any idea.
• 2:58
  SPEAKER_00: It's almost like asking yourself, well, why did I think of that just now?
• 3:01
  SPEAKER_00: Whenever you have that obscure thought pop in, maybe something from 20, 30 years ago just bump into your brain.
• 3:08
  SPEAKER_00: I mean, when you're really not looking at anything, not doing anything related at all, you can't even see how you know, thinking about that time that you ate that cereal and you put salt on it instead of sugar, why would that even pop into your brain when that happened when you were 12?
• 3:23
  SPEAKER_00: And you know it was horrible because you used a lot of sugar usually, and when you tasted it, it was salt.
• 3:31
  SPEAKER_00: And yeah, I don't know why that came up.
• 3:33
  SPEAKER_00: But that's kind of that idea process.
• 3:35
  SPEAKER_00: So you look at these large language models, and well, how did you how did it come up with this?
• 3:40
  SPEAKER_00: How did it figure that out?
• 3:41
  SPEAKER_00: How did it make that decision to change this or do this?
• 3:45
  SPEAKER_00: A lot of the systems analysts, these super techie people, a lot of them aren't really sure how they did that, and that's uh encouraging, but it is definitely an alien form of intelligence.
• 3:57
  SPEAKER_00: So here's that update for the masses, more importantly, what this means for you and maybe your positioning in it.
• 4:02
  SPEAKER_00: So the biggest shift, Peter Lee from Microsoft Research dropped a roadmap this month that confirms what I've been implementing quietly and talking about.
• 4:11
  SPEAKER_00: We're moving from chatbot to coworker.
• 4:13
  SPEAKER_00: So for the last two years, you've been treating AI like a library, asking questions, top performing tech videos this week are discussing agentic AI.
• 4:22
  SPEAKER_00: This is really that transformative period.
• 4:24
  SPEAKER_00: The software just doesn't answer.
• 4:26
  SPEAKER_00: It does.
• 4:27
  SPEAKER_00: You open your email, drafts the contract, uh, schedules the inspection, files the report.
• 4:33
  SPEAKER_00: You can see that right now that a lot of the different systems can be given email access, calendar access as well.
• 4:40
  SPEAKER_00: And then also you can give them access to book things, book trips, do that research.
• 4:46
  SPEAKER_00: And it's not really moving into that realm where everybody's using it.
• 4:51
  SPEAKER_00: But you remember at the beginning of Amazon trying to give up a credit card at the beginning to purchase something online.
• 4:57
  SPEAKER_00: That was a weird spot for a lot of us.
• 4:59
  SPEAKER_00: And if you're the newer generations and completely trust tech, maybe this is your rough spot, thinking that you're actually going to give your AI your credit card and it's gonna go out and book everything all the way through.
• 5:10
  SPEAKER_00: That's gonna be then other people building systems to attract your AI bot, whatever it happens to be.
• 5:17
  SPEAKER_00: The big part of the conversation is are we going to trust one of these main developers of the AI technology to be our eyes, ears, and mouth potentially?
• 5:28
  SPEAKER_00: Or are we gonna want our own artificial intelligence system that's ours, 100% Connor's?
• 5:35
  SPEAKER_00: It just does what Connor wants.
• 5:37
  SPEAKER_00: It has Connor's best interest as its core values.
• 5:41
  SPEAKER_00: It's not gonna hurt Connor, but it's not gonna let Connor, you know, go off into the weeds and create issues for himself if that's what Connor doesn't want to do, and during a moment of clarity, explains to his AI that he doesn't want to go to a particular place.
• 5:57
  SPEAKER_00: Maybe Connor has some kind of an addiction, doesn't want to go there, and so on.
• 6:01
  SPEAKER_00: But are we gonna trust these massive large language model companies to be that for us, to provide that for us, or are we gonna have our own?
• 6:11
  SPEAKER_00: Because really, in a very short amount of time, if you choose, and maybe at some point it really won't be down to a choice, but in some short period of time, you're gonna have something with you at all times that's gonna be listening to all of your conversations.
• 6:25
  SPEAKER_00: If you've never seen the movie Fahrenheit 451, it's uh it's a it's a dystopian look at what potentially happens in the future when books are banned as being bad.
• 6:36
  SPEAKER_00: There's kind of one frame of thought.
• 6:38
  SPEAKER_00: You're supposed to, there's a big thought police sector, and maybe I don't know if that's where we're going, but then they deem firefighters as the original book burners.
• 6:47
  SPEAKER_00: Interesting.
• 6:48
  SPEAKER_00: But if you haven't seen it, there's a part or most of the movie has something listening.
• 6:53
  SPEAKER_00: And it's basically the personal assistant of the people in the movie.
• 6:57
  SPEAKER_00: Everybody has one in their residence, in their house, kind of connected to them, wakes them up in the morning, maybe makes things, starts the coffee and that sort of thing.
• 7:06
  SPEAKER_00: But what happens is in some part of the movie they want it to shut off, so they mute it or tell it to be silent or not listen or not pay attention.
• 7:14
  SPEAKER_00: Well, what ends up happening is later on you figure out, and I'm not going to ruin the whole plot, but you figure out that actually it's still listening.
• 7:21
  SPEAKER_00: It didn't shut off.
• 7:22
  SPEAKER_00: That's going to be our systems.
• 7:24
  SPEAKER_00: Right now, we think that there's some at least limited scope of privacy, but you've agreed with uh terms of service changes whenever you have your your phones or your smart TVs, everything, you're agreeing to some kind of terms of service use or an agreement at the beginning of it.
• 7:40
  SPEAKER_00: And if you go through that massive legal document, you're going to find out that more than likely you've probably given up most everything having to do with privacy.
• 7:48
  SPEAKER_00: That being the case, I think the systems are going to move from probably in short order, from being, you know, these large global systems that really don't have a mark on them or your mark to what they're starting to become now, where they have this memory that uh they can actually recall what you talked about a couple days ago, and that's only going to get better as time moves on.
• 8:09
  SPEAKER_00: How soon I don't know, but I think that's a big part of the work.
• 8:13
  SPEAKER_00: But then after that point, when is that breakaway point where us as human beings say, well, I can't trust these different companies to give me this best AI?
• 8:22
  SPEAKER_00: And but you just talk talk about the top, the top few, you know, Microsoft Copilot, OpenAI's Chat GPT, um uh Grok uh XAI's Grok, you have Anthropic's Claude, you have Meta, you have Amazon in the game as well.
• 8:39
  SPEAKER_00: So which company would you trust with that kind of intimacy?
• 8:44
  SPEAKER_00: Right now, a lot of people do share things with a chatbot, especially if they're treating it like a therapist or treating it like a doctor, they're probably uploading medical records and stuff into it.
• 8:53
  SPEAKER_00: I'm no judge on that, but understand that's now training data for these systems.
• 8:59
  SPEAKER_00: If you had your own, the stuff that you would put into it would not be deemed as training data.
• 9:04
  SPEAKER_00: It would be your data.
• 9:06
  SPEAKER_00: And then we would have to have a discussion about privacy concerns because you see these casinos getting blackmailed by people going in and locking down their data, you know, freezing up all their systems, and they pay them hundreds of thousands, well, a boatload of money to be able to unlock the system instead of trying to seek out the perpetrator, time is money in a casino world.
• 9:27
  SPEAKER_00: So it's difficult for them to go and try to fix that solution or get the right authorities on it because super smart hackers, those same types of access points for hackers, if they're talking to something that I'm talking to 24 hours a day, seven days a week, you know, there's some blackmailing in there, especially if Connor's up to no good in a particular realm.
• 9:47
  SPEAKER_00: You know, are my conversations always 100% clean and ethical?
• 9:50
  SPEAKER_00: I would hope so.
• 9:52
  SPEAKER_00: But again, you know, as it says, quorum deo, in the eyes of God, we almost have to always act like that.
• 9:59
  SPEAKER_00: And I come from a long line of, well, a long career in law enforcement, and we didn't have cameras at all times.
• 10:05
  SPEAKER_00: But, you know, I was kind of the Rodney King era.
• 10:08
  SPEAKER_00: I wasn't there, but I was graduated the academy a couple weeks after that.
• 10:12
  SPEAKER_00: That was videotape, right?
• 10:13
  SPEAKER_00: So that was being watched, the actions of those police officers.
• 10:17
  SPEAKER_00: And if you didn't wake up then as a police officer realizing that anytime you could be on camera, and if that's the only thing keeping you from doing bad things, well, you need to use it because otherwise you're gonna end up in prison.
• 10:29
  SPEAKER_00: Now, you take that, translate it into today, translate it into these systems.
• 10:34
  SPEAKER_00: Maybe you're using one of the big five companies to be your AI overlord, your AI assistant, maybe is a better way to put it.
• 10:41
  SPEAKER_00: How can you trust that that stuff's gonna be guarded?
• 10:43
  SPEAKER_00: Also, if it breaks out and there's companies building out your own AI assistant, your own AI entity that your partners with in life from this moment on, how's that protective layer?
• 10:56
  SPEAKER_00: What's that security like?
• 10:57
  SPEAKER_00: And how can you um what kind of guarantees?
• 11:01
  SPEAKER_00: Now, guarantees are great.
• 11:02
  SPEAKER_00: Don't you just love a good guarantee if it's not on the box?
• 11:05
  SPEAKER_00: Remember that movie?
• 11:06
  SPEAKER_00: If it's not on the box, it's meaningless to me.
• 11:08
  SPEAKER_00: But ultimately, with all of these systems, they can guarantee everything.
• 11:14
  SPEAKER_00: But if all your information is now placed out there for the public to judge, which I'm sure is going to happen at an obscene level, at least at some point, once that ends up happening, yeah, it you can't, you don't get you, you don't get to come back from that.
• 11:28
  SPEAKER_00: It's like if you're sending pictures of your privates somewhere, and then you're being blackmailed with them, you've already sent the privates.
• 11:36
  SPEAKER_00: So to go back and unsend, you know, it doesn't happen.
• 11:39
  SPEAKER_00: It's already out there in the world.
• 11:41
  SPEAKER_00: And your true friends might not leave you.
• 11:44
  SPEAKER_00: A lot of people, you'll figure out who your true friends are in that regard.
• 11:47
  SPEAKER_00: I had a friend of mine that kind of went through that process, but seemed to be okay, seemed to recover today.
• 11:52
  SPEAKER_00: But at that time, for the next couple of years, it was it was rough for him.
• 11:57
  SPEAKER_00: And uh, well, finally, probably there.
• 11:59
  SPEAKER_00: Don't know if anybody still brings it up.
• 12:00
  SPEAKER_00: I don't talk to him that often, but again, kind of an idea.
• 12:03
  SPEAKER_00: But if you're giving all your personal information to these AI systems, we should be given some kind of reassurement that it's not going to discuss, you know, what I say in my sleep.
• 12:13
  SPEAKER_00: I think that would be important.
• 12:15
  SPEAKER_00: But we'll have to watch.
• 12:16
  SPEAKER_00: But that's, I think, that next layer of development of what's going to end up happening.
• 12:20
  SPEAKER_00: So, second, the physical world just woke up.
• 12:22
  SPEAKER_00: You might have seen the viral clips of the new Boston Dynamics Atlas robot at the Hyundai plant in Georgia.
• 12:29
  SPEAKER_00: It's flashy, it gets views, but ignore the backflips.
• 12:33
  SPEAKER_00: Look at the integration.
• 12:34
  SPEAKER_00: Now, these these systems can't compete at an NBA level or a top NFL level or a top hockey level, uh, level of human being gameplay.
• 12:46
  SPEAKER_00: But at the very beginning, the systems couldn't beat a player, a human player in chess, and then blew by that, and then the game go, blue by that.
• 12:56
  SPEAKER_00: So you see the development.
• 12:58
  SPEAKER_00: The robotic arm is just starting, and it will be everything.
• 13:02
  SPEAKER_00: We are even better at some particular point.
• 13:05
  SPEAKER_00: So you'd be able to stack up a robot playing a fair game against a top NBA athlete like Kobe or one of the other cats at the top, top NFL uh quarterback, and so on and so forth.
• 13:16
  SPEAKER_00: We haven't gotten there yet, but it's coming.
• 13:19
  SPEAKER_00: It's just getting better every single day.
• 13:22
  SPEAKER_00: But these robots are now learning the sim to real training, running millions of simulations in a virtual world before they ever step onto a factory floor.
• 13:31
  SPEAKER_00: This is the exact same logic we apply to business integration.
• 13:35
  SPEAKER_00: We do simulate those workflows digitally before we ask for or risk the capital on the rollout.
• 13:40
  SPEAKER_00: Some of the systems that are being put in place to handle customer service, for example, some start out, it's a great idea, it's all conceptually perfect.
• 13:49
  SPEAKER_00: It's going to save the business a lot of money.
• 13:51
  SPEAKER_00: They're going to be able to offload all of these human beings and labor.
• 13:55
  SPEAKER_00: A couple instances out there, huge mistake, massive problems.
• 13:59
  SPEAKER_00: So now they bring back the workforce.
• 14:02
  SPEAKER_00: And I think that's going to happen even in a larger scale, probably not the bringing back part, but these early adopters that aren't actually playing it all the way out and testing it.
• 14:13
  SPEAKER_00: I mean, you have to test it through the teeth.
• 14:16
  SPEAKER_00: If you don't do that, then you're putting your business, your brand, everything at risk.
• 14:20
  SPEAKER_00: So we're looking at security experts.
• 14:23
  SPEAKER_00: This is the shadow identity thing that people are talking about.
• 14:26
  SPEAKER_00: Security experts are calling 2026 the year of the trust gap, with deep fakes becoming commoditized.
• 14:33
  SPEAKER_00: Verification is the new currency.
• 14:35
  SPEAKER_00: There's probably going to be some type of um watermark, some kind of verified vetting process.
• 14:43
  SPEAKER_00: I'm sure somebody out there is working on that technology that's going to be adopted by everybody, and that's you know, a multimillion dollar, maybe even more business, somebody that builds it out.
• 14:53
  SPEAKER_00: But basically, then come then becoming that uh the source for everything verified or not verified.
• 15:01
  SPEAKER_00: Basically, if I'm gonna be putting up a let's say I produce this video using an AI clone.
• 15:08
  SPEAKER_00: And if you haven't seen these things with Synthasia, these other systems, they're they're pretty good.
• 15:12
  SPEAKER_00: I mean, they're 100% me, they look like me, they move like me, they speak like me, have my same mannerisms because it's trained from me.
• 15:19
  SPEAKER_00: And all I need to do is just upload the script as if the one I'm looking at here, and then of course going on as my online tangents as I always do.
• 15:27
  SPEAKER_00: But offloading a script into it or inloading, uploading, ha, and then it takes the script and it prepares the video just like this, and it can get out there and talk and do the whole nine yards.
• 15:39
  SPEAKER_00: If you haven't seen those, it's pretty amazing, but there's no watermark with that.
• 15:43
  SPEAKER_00: It's basically me producing the content, putting it online without a care in the world, whether I tell you it's AI or not.
• 15:49
  SPEAKER_00: This isn't AI.
• 15:50
  SPEAKER_00: I'm gonna pinch myself, that's meaningless, but I think that's funny.
• 15:53
  SPEAKER_00: So, that being the case, you see the images as well.
• 15:56
  SPEAKER_00: You can have a Gemini's nano banana make you something, an image, right?
• 16:00
  SPEAKER_00: In the bottom right-hand corner, it's got that little star that indicates it's the nano banana image.
• 16:06
  SPEAKER_00: But you know, all you have to do is crop that.
• 16:08
  SPEAKER_00: You pull it out, or you can throw that into Canva, you can get rid of that little star on it.
• 16:12
  SPEAKER_00: And I leave all of them.
• 16:14
  SPEAKER_00: I I thought maybe at some point, why have that there?
• 16:18
  SPEAKER_00: But you know, I don't think anybody really cares if it's a conceptually strong thumbnail and it's got all the attributes that top-performing YouTube thumbnails have, and it pertains to the content that's behind the thumbnail.
• 16:31
  SPEAKER_00: Hey, why not?
• 16:32
  SPEAKER_00: So I just leave it, give credit where it's due, because it does an incredible job.
• 16:36
  SPEAKER_00: If you haven't played with it, you should check it out.
• 16:39
  SPEAKER_00: And finally, I'm gonna say this one thing that I found very, very effective with artificial intelligence is being able to learn things that I had no idea about.
• 16:48
  SPEAKER_00: And this isn't a pitch, well, this isn't a sponsored pitch, but Notebook LM, if you haven't used it yet, notebook LM, it's by Alphabet, by Google, by it's the uh it's it's through the Google Corporation.
• 17:04
  SPEAKER_00: But Notebook LM, it's free.
• 17:06
  SPEAKER_00: I don't know how many um how many documents, the bandwidth, as far as token length or size of files, you can put into it on the free tier, but it's able to chew on YouTube videos, links to websites, content.
• 17:20
  SPEAKER_00: And if there's something you've been wanting to learn, you put in whatever form you want it in in the system, and then it's gonna chew on it and it's gonna give you reports, you're gonna be able to put together quizzes, you're gonna be able to have an interactive conversation with AI about the document or documents you put inside of it, the YouTube videos you put inside of it.
• 17:40
  SPEAKER_00: I mean, it just does an incredible job, and that I think is really a big advantage I see, especially for you know me approaching 57.
• 17:48
  SPEAKER_00: 57?
• 17:49
  SPEAKER_00: Yeah.
• 17:50
  SPEAKER_00: I'll be 57 this year.
• 17:52
  SPEAKER_00: Approaching that age, trying to keep that brain a little bit more plastique, which I think all of us do as we get older, but it's almost like, you know, tying your right hand if you're right-handed, using your left hand to try to write, it kind of opens up.
• 18:03
  SPEAKER_00: New neural pathways, and I think using Notebook LM has really been phenomenal, especially when it comes to me learning the AI space and applying that to my various businesses out there.
• 18:13
  SPEAKER_00: You can see more about those.
• 18:14
  SPEAKER_00: Selfishplug at ConnorWithhonor.com.
• 18:17
  unknown: All right.
• 18:18
  SPEAKER_00: Hope you're well.
• 18:19
  SPEAKER_00: Thank you for watching.
• 18:20
  SPEAKER_00: Uh, please, I'd love to hear from uh you about what you think of these different things that are going to be happening.
• 18:26
  SPEAKER_00: I know a lot of people are warning that you know there should be more regulation.
• 18:30
  SPEAKER_00: Um the cat at anthropic, he's he's saying it honest, he's putting it out there that we need to be careful.
• 18:37
  SPEAKER_00: And this alignment thing could pose to be a problem if we don't have the proper alignment.
• 18:43
  SPEAKER_00: And the systems are just allowed to run rogue.
• 18:46
  SPEAKER_00: Right now, we don't have the robotic arm that's truly developed.
• 18:50
  SPEAKER_00: Some of the robots do some fascinating things, but you know, those drones are probably more dangerous for humankind, at least for now, because they're very small, they fly, they can recognize faces, potentially DNA typing, and uh just be sent out to do their business in a very malicious, a very bad way, uh hired by bad actors.
• 19:14
  SPEAKER_00: And I'm not talking about AI sending them out to accomplish its own goals.
• 19:18
  SPEAKER_00: Maybe that's a dystopian future that we need to be prepared for, but I'm talking about human beings employing them with AI to go out and do bad things for them.
• 19:28
  SPEAKER_00: So keep an eye on things, be well.
• 19:30
  SPEAKER_00: And if you hear a mosquito that doesn't seem to be uh able to be seen, maybe it's a drone, so watch out.
• 19:35
  SPEAKER_00: All right, Kano Than.
• 19:36
  SPEAKER_00: We'll see you in the next one.
• 19:37
  SPEAKER_00: Thanks for watching.