Bourbon, Breakthroughs, and the Roomba Affair: The AI Chaos Episode

Bourbon with Brad

In this 30th episode of Bourbon with Brad, the hosts dive into a whirlwind of AI breakthroughs, absurd tech news, and bourbon-fueled banter. They sample rare Four

Key takeaways

• Anthropic's Fable 5.1 shows significant improvements in scientific reasoning—over 100% better than 5.0—and is cheaper to run.
• AI is increasingly being used in medical research, with Moderna leveraging AI for a promising skin cancer treatment.

Main topics

• Anthropic Fable 5.1 release
• Hugging Face's AI-powered duck

Notable quotes

"It's like every other computer program out there. It's really good, but we got a little bit better one today."

"They're being proud of it. They were able to produce, in a matter of three hours, 19 million gallons of rain in Alaska."

Conclusion

The episode closes with a reflective, humorous tone on AI's dual potential

Transcript preview

Speaker 3 (0:01) Welcome to Bourbon with Brad. Speaker 4 (0:05) The views and opinions shared on the Bourbon with Brad podcast are our own and those of our guests. Nothing we discuss should be taken as financial, legal, business, or gambling advice. Don't make investment, business, or betting decisions based on our conversations as you should always talk to a qualified professional. Always drink responsibly, never drink and drive, and only consume alcohol if you are of legal drinking age. Speaker 5 (0:34) DACA Daily.ai is not built for everyone. It's built for the counsel who already knows that speed, precision, and early intelligence win cases, shape strategy, and protect the enterprise. We serve a small circle of tech-forward attorneys who understand the value of seeing regulatory movement before it becomes tomorrow's headline or next quarter's crisis. If you've heard of us, it's likely because someone trusted you enough to mention it. Speaker 5 (1:10) If you're here, it's because you belong to the fraction of counsel who treat information as a strategic asset, not a commodity. DocketDaily.ai. The quiet advantage for the attorneys who never wait to be surprised. Speaker 2 (1:34) And we are back in the bourbon studios in Indiana, PA. We are filming our 30th episode tonight. 30 episodes. Yeah, we got some special bourbons and some special people in the house. So thank you, Cardi, for bringing a great one tonight for us to try. I can't wait to crack both of these open, but especially the one that has already been cracked open and shared with friends because that's what bourbon's done. And he's saved a little bit for us, and I can't wait to have it. It has a great story, and we'll dive into that later. Yeah, it's exciting. First and foremost, we're going to get into the AI headlines, which are just never ending, and it just keeps going. Just when you thought Anthropic 5.0 was the best of the best, they released 5.1 yesterday. Speaker 8 (2:15) It's like every other computer program out there. It's really good, but we got a little bit better one today. Just when you got used to it. Yeah. Speaker 4 (2:25) Hopefully they don't change much of the functionality. I Speaker 8 (2:27) just hope Speaker 4 (2:28) it doesn't change the personality. Speaker 2 (2:29) 5.1 and I were getting along pretty well. Or 5 Speaker 8 (2:33) .0, Speaker 2 (2:33) I should say. Speaker 8 (2:35) Well, you guys have had your differences. We Speaker 2 (2:37) have. I think that was Opus 4.8, though. Him and I were just clashing. Speaker 8 (2:43) It's so funny to hear you talk about it. Me and Claude had a fight. Oh, it was. I go through my day thinking, geez, I wonder if Brad and Claude patch things up because I care about you both. Well, not so much. Like I Speaker 2 (2:57) told you, the last two days it's kind of been slow around here because they've been doing infrastructure improvements, I guess, to our whole streets' internet boxes. So we were without internet for a day and a half, and so I'm just sitting here twiddling my thumbs. That's why I actually golfed yesterday, and that was – I feel sorry for those four guys that had to play with me. Speaker 8 (3:16) Well, I assume it's people that you've played with before. Yeah, no, Speaker 2 (3:19) I mean, it was a great company, you know. Good. Good conversations. It was a little buggy and a little humid, though. The bugs Speaker 8 (3:26) are terrible right now everywhere. And it's so, like, Speaker 4 (3:30) today. Speaker 8 (3:30) Early September? Get out of here. Speaker 4 (3:32) The humidity today. It's good to see spring's finally breaking and fall's starting, huh? Yeah. Speaker 4 (3:37) Yeah. We just jumped right over summer. We're supposed to get some bad storms tonight. Speaker 2 (3:42) Yeah. But Speaker 4 (3:42) pretty Speaker 8 (3:43) nice out right Speaker 4 (3:44) now. Speaker 2 (3:45) Speaking of storms, it's not even in the headlines, but I saw it now that they're using it. I don't know if you guys saw it or not. They're using drones. There's a company out there that is actually seeding clouds. With drones? With drones. Oh, that's cool. And they seeded so much of the, you know, there's a chemical compound that they use to seed it. We know they've been doing that for years, but now they're actually acknowledging it. Speaker 4 (4:07) And Speaker 2 (4:07) they're being proud of it. They were able to produce, in a matter of three hours, 19 million gallons of rain in Alaska. Snow and rain in Alaska. Wow. Yeah. That's comforting. Speaker 4 (4:20) I'm sure all this rain this summer has just been all nature, Mother Nature. Speaker 8 (4:25) So there's some guy somewhere, every time he'd think, oh, Perry might have time to actually mow his pasture today before he has to hire goats to come do it. Let's throw the drone up there and put a little downpour on him. Speaker 4 (4:39) I heard you're more of a sheep guy. Speaker 4 (4:44) They're not bad. That's an old farmer's wise deal, right? Yeah. We'll go with that. We'll go with that. Shoot, Speaker 2 (4:55) it's only a couple minutes into the first segment. But, you know, I got the combination going today. The death wish is flown. I had to go the extra kick. Commonplace just wasn't getting there. It was delicious this morning, but I needed an extra kick once the internet came back on. So I was like, I need it. Speaker 8 (5:10) Well, yeah, I mean, I had my normal three cups this morning at home and then stopped and got a big 24-ounce iced Americano. Oh, nice. A nice kick. It's a good day for an iced one. Yeah, yeah. Speaker 2 (5:24) Needed to cool you down just a little bit. Speaker 8 (5:26) Yeah. Speaker 2 (5:27) I always feel like Anthropics always stealing the thunder when opening eyes trying to make headlines. It seems like it. It's almost like it's intentional. Well, it's like it's almost effortless, you know, and it's like they're sitting over here in the corner. Hey, look at us. Look at us. They're supposed to be IPO by now, but I think their stock's been going down, down, down. At least their initial stock projections have been going down, down. Have they? So. Anthropics? Yeah, well, Anthropic is supposed to, the rumor is that after Labor Day that they're going to be announcing about a $2 trillion valuation, and so they're going to be kicking off. I think Anthropic is going as strong as anything right now. I mean, they're producing actual revenues in the billions. And I think I even sent you guys an article that projected that they may be in a trillion-dollar revenue company at some point. That's crazy if you think about it. That Speaker 8 (6:14) is crazy. We talked last week about, I mean, we should probably come up with a statistic of. How many countries that is bigger, you know, like they can't even match that in GDP. There's probably a ton of them. Speaker 2 (6:29) Well, I just saw a stack. There was a side by side stack today of Anthropic at even a $1 trillion valuation versus some of the biggest names you've been trading stocks over the last 30 years in the tech space. Yeah. And they're 900 million combined. Really? Yeah. So when you, when you, and there's like 10 of them in there. So it's, and here we are and they're pre IPO. Very new. So new that these guys started the first two, you know, they did two and three of ChatGPT and then moved on. Speaker 4 (6:56) It's not even Speaker 2 (6:57) three years Speaker 4 (6:57) old, is Speaker 2 (6:58) it? Right. Speaker 8 (6:58) That's crazy. Speaker 2 (6:59) Yeah. Amazing, amazing growth, amazing foresight, amazing talent. I mean, the folks that are behind the talent that is producing. I had somebody ask me yesterday, said, I'm looking, you know, do you think ChatGPT is what actually is this? Well, ChatGPT is kind of like the vanilla box at this point, to be honest. I really think if you're looking for something, especially in the financial, if you're looking at stocks, if you're looking at a little deeper reasoning on something, Claude is head and shoulders, still is head and shoulders above all the rest. And LinkedIn just had me do a survey for a $5 Starbucks card today. I was like, thank you very much, LinkedIn, you know, on the same thing. And I was rating, they were asking for my opinion on the different five mango AI generative. I said, I can go back and roll the tape. I've been very consistent about this. It hasn't changed. You have. But it could change. And 5.1 is certainly not going to change it for the worse because the one thing that happened with Fable 5.1 is it's cheaper and it's better. It's 3 % better than the coding, which is the big thing I'm doing, which makes me very happy. But on the scientific reasoning, it's over 100 % better. It was 24.3 % for 5.0 Fable to... Now 53-point-something on 5.1. So the scientific measures, and Moderna, on that same note, and this is my ADHD, I'm just jumping all over headlines, but Moderna said that their new skin cancer, supposedly their skin cancer cure or treatment, a very good treatment. I wouldn't say it goes as far as a cure, but it's... Pretty good, you know? Yeah. It was developed with the help of AI. Is that right? Yeah. Speaker 8 (8:35) I'd like to understand the mechanics of that. Like, what are they, do they use it to break down the proteins in the different cells? And, like, I mean, how's that, I wonder how that works. Well, it depends Speaker 2 (8:46) on which models they're using. So, you know, if they have a model that's trained on all the white papers out there, which we've talked about, remember, if they have, like, let's say they have all 100,000, you know, of the major white papers on all the protein synthesis. If you're a PhD researcher and you're having to thumb through this or even having to Google search this, tab, copy, paste. I mean, that is so antiquated at this point now in this time because you can have these things working in real time, connecting the dots, finding the commonalities, finding A plus B equals C logic. Speaker 8 (9:17) And Speaker 2 (9:17) it's taking the next steps. I mean, we're really talking about cures, and that's what we're going to get into here in the fourth or fifth segment when we have the two. The battle royale. The battle of the AIs today. We are doing it today. So we're going to have the battle of the AIs and we're going to have them. I think it makes no more sense than to have them both take the very hard stance on that AI is great for humanity and AI is going to be the death of humanity. And they're going to have to stand behind it. Speaker 4 (9:41) I like the different scenarios. I'm going to have to try to stay quiet. We'll see if that happens. Speaker 8 (9:47) Maybe Claude will say, excuse me, Brad, please don't interrupt me. How do you like it, Claude? Speaker 8 (9:55) Yeah, payback's a bitch, Mitch. Right? Payback's a bitch, Mitch. Speaker 2 (10:01) All right. New York's making headlines other than the lady that was stabbing everybody. And, geez, I mean, she was freaking completely nuts. Oh, my God. Yeah, Speaker 8 (10:09) they Speaker 2 (10:09) should Speaker 8 (10:09) have shot her in the leg. Speaker 2 (10:11) Yeah, right? I thought the same thing, Cardi. She wasn't, you know, with 18 officers around her, you thought, I would have thought maybe the stun gun or a few of them. They tried the stun gun. It didn't work. She must have Speaker 8 (10:22) been on something. She must have been on something. She must have been on the old meth pill. Well, they said between her weight and the way she was flailing around, they didn't get a good Speaker 4 (10:32) – I hate to make a joke of it because a Bank Speaker 2 (10:37) of America executive died over this, which totally caught her off guard. Yeah, I mean, just to celebrate in a huge – and it just – it's ridiculous that somebody is just walking innocently by and you have some crazy-ass fuck like this, right? That does this. But I just, but at that point in time, when she was facing the officers, she looked like the, to me, she looked like the, Speaker 6 (10:57) the, Speaker 2 (10:59) the state, stay fresh, uh, Pillsbury, very, uh, stay puffed, Pillsbury, ghostbusters around the corner. You know, I mean, she was a threat to nobody. Speaker 4 (11:10) Well, I mean, I mean, so here, I mean, She certainly deserved what she got. She earned it. She already killed somebody. Yeah. Speaker 8 (11:20) She stabbed Speaker 4 (11:21) a few others, and Speaker 2 (11:22) she was coming at the officers very aggressively, Speaker 4 (11:25) right? Yeah. It's 100 % Speaker 8 (11:27) self-induced. Speaker 4 (11:28) She was on a death Speaker 2 (11:28) wish. Speaker 8 (11:28) I just don't understand. The frustrating part is, unfortunately, you don't identify these psychopaths until it's too late. So the woman's dead, and there's a man that's injured. I don't know what his condition is. But, I mean, this is why. Like, I was talking to my brother the other night, and we were talking about. go into places where there's large crowds of people. And I don't like going to places where there's large crowds of people. And the Speaker 4 (11:49) first time I'd been Speaker 2 (11:49) back to New York was just when I had to run up there for a night and I came back and that I'm telling you, it's just, we used to go to the height. We used to go right there where that was happening at times square, stay at the, at the hotel right above there on the corner. Yeah. I just don't, I right after Thanksgiving, I just don't trust people. Speaker 8 (12:06) And, and I have personally have no reason not to like in that capacity, but. You see these stories and like, that's a perfect example. It's like, how do I know this guy walking up that smiles and says, hey, good morning. Is it going to plunge a fricking dagger in my neck? Speaker 2 (12:22) Yeah. You may look like some. Speaker 4 (12:24) Thanks, bro. Speaker 8 (12:26) But you Speaker 2 (12:28) know what I Speaker 8 (12:28) mean? You Speaker 2 (12:28) may not know it, but you may Speaker 4 (12:29) look like a health insurance CEO. Speaker 8 (12:33) That's still not an excuse. I just don't. Speaker 4 (12:37) It's frustrating because it's like, how do these people walk in the Speaker 2 (12:39) streets? We just got crazy people out there that are thinking that these extreme measures, whether you look at all the different things that have happened over the last few years, and we can just go down the line, right? And I don't want to get off on a tangent because that's not what we talk about, but it's... Oh, no, we do tangents. Speaker 4 (12:53) Well, we do do tangents, but Speaker 2 (12:55) it's... We are tangents. But it just tells you the reality of the real world right now. It's just craziness, you know? Speaker 8 (13:00) And I'm kind of curious where the anti-knife crowd is. Speaker 2 (13:04) Right? We'll just leave it at that. She was double fisting, man. She was coming at him with a butter knife in a... Speaker 2 (13:15) She was spreading and cutting, man. You're Speaker 8 (13:17) right. It's not funny. We shouldn't laugh about it, but you know there's going to be some crazy-ass memes come out of this. Oh, good Lord. I mean, it's tragic. It is Speaker 2 (13:29) tragic. It's truly tragic. Yeah, the Bank of America executive. Speaker 8 (13:32) Her family lost a loved Speaker 4 (13:33) one. Speaker 2 (13:34) I'm guaranteeing she was just completely walking in and not thinking. anything about, and probably was probably on her phone looking at something from the day's work. Well, Speaker 8 (13:41) this Speaker 2 (13:41) lady Speaker 8 (13:41) certainly didn't look like a criminal. Right? She didn't look like a criminal or anything. You know what I mean? She didn't look like some homeless. No, she doesn't look like Speaker 2 (13:47) the Speaker 8 (13:47) person you Speaker 2 (13:48) have to be on the lookout for somebody coming up and asking you for something and turning crazy on you, right? That's crazy. No, but you just never know what somebody's going through. You don't. You got to be on guard. Period. Speaker 4 (14:00) You really do. You have to pay attention. It's not just New York City. You've got to be on guard wherever you're at. Yeah, absolutely. It's kind of a sad. It Speaker 2 (14:06) can Speaker 8 (14:06) happen here. Speaker 4 (14:07) This Speaker 8 (14:07) is about as sleepy a town as you're ever going to Speaker 4 (14:09) find. Speaker 8 (14:09) We had Speaker 2 (14:09) an incident here where, you know. Yeah, with the cops. Yeah, so I mean, it happens, right? Speaker 4 (14:15) And it was kind of very similar in a sense. Actually, you're right. It was. Actually, he stabbed the cop. Exactly. There's Speaker 2 (14:22) no doubt it was justified, but it just shows you where people's minds are right now, you know? It's crazy. Anyways, let's get to OpenAI. They're probably like the fifth headline today. Sorry, Sam. If you just answer my emails, I'll put you on number one. Speaker 4 (14:38) It's simple, Sam. Speaker 2 (14:39) I know, Speaker 8 (14:40) right? Speaker 2 (14:42) I think he's in a big pissing match with Elon still. I saw Elon called him just an untrustworthy asshole after he lost the lawsuit. He stole that open source. Speaker 4 (14:55) Yeah, Elon, he's something Speaker 8 (14:57) else. Speaker 2 (14:58) No, he is. But OpenAI is Astra. We talked about that before because it's right in your field of vision. Astro, Astra. It crosses a critical threshold, and I'm not talking Uranus. I'm talking about the cyber threshold. Hey, leave Uranus out of Speaker 8 (15:12) it. I'm not talking about that bounty line, you know, where the old... I'm going to drag my telescope. I'm going to shoot a really good image of Uranus. Good. The planet, the Uranus. Yeah, Speaker 4 (15:24) every time we reference it, you just throw it right up there, you know? Speaker 8 (15:27) Yeah, Speaker 4 (15:28) I have a picture of it I took, but it's just a little kind of a green dot. Have you seen those pictures of Mars, by the Speaker 2 (15:32) way? Speaker 8 (15:32) Yeah, it's amazing. Speaker 4 (15:33) Yeah, Speaker 2 (15:34) the recent ones they released from the rovers, Speaker 4 (15:36) I Speaker 2 (15:36) mean, they are crystal clear. You feel like you're actually there seeing it, right? It's unbelievable. Yeah. The technology is great. Speaker 8 (15:41) Yeah, it's gotten next level, right? And did you also hear, since you segued in tangent. I'm always tangenting. Yeah, kind of like a sphincter. It just kind of goes. Voyager 2, I think it is, which is still traveling. Did you see its achievement? How far out? One light day away. Yeah, it's just now one light day away. So it takes 24 hours for the signals You know the edge of the universe I was watching I was watching I was watching I get more totally off on a tangent, but I was watching a YouTube video about Putting into perspective the distances so it'll take at the speed. It's going it'll take 18,000 years for it to go one light year Speaker 8 (16:24) I can't wait for the next one. Yeah. Speaker 4 (16:27) It's the time. It's a good thing. Metal technology Speaker 2 (16:31) allows us to get younger. Yeah. Speaker 8 (16:33) Yeah. Speaker 2 (16:33) They're flipping back the clock here with the, you know, that's a whole nother segment Speaker 8 (16:37) we're going to have. That only gets us one quarter of the way to the nearest star. Speaker 2 (16:41) Let Speaker 8 (16:41) me think about that. Speaker 2 (16:42) And I sent you guys a picture of that black hole theory, you know, or that black or the empty void theory, I guess. Yeah. Yeah. Speaker 8 (16:49) That we're living in the middle of it. That Speaker 2 (16:51) we're in the middle of. So it's kind of interesting, right? Something cleared the way. The truth of the Speaker 8 (16:55) matter is, I don't think anybody really knows, and there's no way to prove or disprove any of these theories. Not with our ability. How are we going to know? Speaker 2 (17:02) We're very limited. I mean, we're very limited. We're like a little ant down in the middle of the desert trying to figure out. what's next, you know? Speaker 8 (17:13) It's very humbling. It is. And that's one of the things I like about that hobby. But anyway. Speaker 2 (17:17) Anyways, Astra is, you know, getting released. And OpenAI has said that it's crossed a critical threshold, and that is the cyber threshold. Yep. And obviously, they made it very clear to have to come out and say, as they're now being subpoenaed on their documents and all their stuff over the Hugging Face incident where their one model broke out. And they said that wasn't Astra. I thought it was, but maybe not. Speaker 4 (17:42) Hugging Astra. Hug my Astra. No, I'm just, I think they're just trying to make headlines and it's just, it's just funny how it's. Speaker 8 (17:55) Do you think it's like a... It's almost like a sibling rivalry. Speaker 2 (17:59) Oh, there's definitely... I think it's emotional at this point. So at least for Sam. Not so much for Dario because Dario just moved on and moved on. He's never looked back. I think Sam's feeling the disloyalty because it was his... Dario was his guy, right? Yeah. So... And then after losing the lady that started ChatGPT and she went on to create now the Super Intelligence Lab, you know, so... Can't wait to see what she brings out next. Speaker 8 (18:26) I got to think it's not like he's not paying these people well enough. I'm sure they're incredibly well paid. Yeah, they're getting paid well, and I'm sure they're getting stock. I mean, if you have the wherewithal to start a startup in this environment, I mean, you're like a billionaire overnight. That's what Daria Speaker 2 (18:40) was. I was just reading coming out of the YC out there. It was the quickest evolution, and they left OpenAI, a couple of young 20-somethings, three of them, and they started this. They didn't even know what they were going to start. I think they asked AI, what should we start? Chat GPT. Speaker 4 (18:58) But they Speaker 2 (18:59) started this, it's called after market or after something, you know, and all of a sudden it's valued at 3.2 billion, you know, in the very shortest period of time of any tech company coming out of this YC incubator, which by the way, which Sam Altman had a legacy back. I think he was ahead of that, you know, back in the day. Oh, it's all incestuous out there. It's Hollywood, you know. It's close. We talked about Hollywood last Speaker 4 (19:24) week. Speaker 8 (19:24) Silicon Speaker 2 (19:25) Valley, you know? Close enough. But on other news, we're going to move off of OpenAI because they're just not making headlines that are very fascinating these days. New York City banned AI Speaker 8 (19:39) in K through 8th grade for a year. In other words, the students are not allowed to use it or the teachers or nobody? Speaker 2 (19:47) Students definitely not. Speaker 8 (19:48) Teachers Speaker 2 (19:49) probably are allowed to, but... I'm sure there's a governance on there too, but now that everything's being marked because as Grammarly, you know, tools like that can be used to determine who's using Speaker 4 (19:59) AI, you know, I'm sure the... Right, so they can actually identify. I'm Speaker 2 (20:03) sure the parents are going to be watching with a watchful eye if they're grading with AI. They're going to be like, oh, yeah, what's good for the goose is good for the gander, right? That's true. They also ban chatbots through all grades. Speaker 8 (20:18) What's a Speaker 2 (20:18) chatbot? Well, the chatbot is kind of the interactive. It's the issue that was happening with the suicide with the 16-year-old. It's the issue. Speaker 8 (20:27) So they still exist, but they're not allowed to use them. Speaker 2 (20:31) They do. So they do exist. In fact, the two chatbots that we're going to have battling it out here, they are chatbots. Speaker 8 (20:37) Yeah, yeah. So Speaker 2 (20:38) now we're bringing them into the chatbot realm. We're taking them out of the textual and allowing them to go. And even in the text realm, it's a – considered a chat bot in that regards because you know it's Speaker 8 (20:48) the Speaker 2 (20:48) interaction back and forth yep Speaker 8 (20:50) so Speaker 2 (20:50) i can see it i mean when you're when you're being influenced like that and we see that you know we saw it with the settlement with meta last week and they don't even really have i would say as noteworthy of an ai they do have meta ai but uh just not as noteworthy you know so Speaker 8 (21:10) Fascinating stuff. But apparently, Meta's, there goes the balls. Balls Speaker 2 (21:14) are Speaker 8 (21:14) dropping. We're ready. I told you when I was mowing my grass, I was listening to Free Fall. I was listening to Spotify, an 80s playlist on Free Fall. And of course, the first thing I think of is Free Balling. Yeah. Speaker 4 (21:26) You're never going to look at that song for me. You're never going to look at that song the same again. No. It's like, oh, God. Free Balling. When we try Cardi's. For a gate here, we're going to be free-balling. He says that's Speaker 8 (21:41) the Speaker 4 (21:41) only way to drink it. That's the only way to drink it. I Speaker 8 (21:45) said I'm kind of a pussy when it comes to it. Speaker 2 (21:48) So, you know, I've mentioned Hugging Face, but they're making headlines for other reasons. A little more lighthearted this time. NVIDIA is buying them, first of all. Speaker 4 (21:57) I can see your arm, Cardi. Kind of big. You're not hiding. Go ahead. Speaker 8 (22:02) You're more than welcome to get your hand. I can switch Speaker 4 (22:04) to Speaker 8 (22:04) the other camera. Let me help Speaker 4 (22:06) you. He's one of the... Our Speaker 8 (22:09) dear friend, Cardi. He's retired. He's a retired gentleman now at the ripe young age of, I don't know, maybe early 60s. I can spend more time up here now. Speaker 2 (22:23) So Hugging Face is making, they're sold out on a new product. Did you see that? Yeah. Yeah, they're robot Speaker 4 (22:30) ducks. Robot ducks? Who came up with that genius idea? Oh, Hugging Face. Hugging Face, of course, right? I mean, they come up with all the good ideas. That's why NVIDIA bought them for 12 point some billion. That blows my mind. Speaker 2 (22:45) Right? So I guess these ducks have like 15, 16, 17 motors in them. They have... They have, you know, the sensors, they have the camera, they have the ability to learn from their, you know, from their. Speaker 2 (23:02) trials and Speaker 4 (23:02) errors. They're a little less than two pounds, 10 inches tall. Do they have races? Like they put them in water and let them, I don't know. All I know is that Speaker 2 (23:09) I can have a lot of fun with this duck. So get yours now before they're sold. I mean, I guess they're sold out. So I might not be able to get $399, but you know, so Speaker 8 (23:17) they should Speaker 2 (23:18) be Speaker 8 (23:18) getting a commission. Are they like AI controlled or do you run them? Speaker 2 (23:20) Yeah, I mean, they're, they're AI enabled. So, I mean, they're, they're actually, there's, there's an algorithm going there. They got, they have the sensors. They have the, uh, the, the one, uh, I wanted to make sure I'm saying this right. Cause it's initial LIDAR. So it's the laser, it's a laser sensor technology that, that shoots lasers out in quick, quick laser bolts off of reflections. And because light's very, you know, the distance of how light travels is very, our mathematical guy knows it's very, it's a fixed variable that they can track distance off of. Speaker 8 (23:52) So Speaker 2 (23:52) these little ducks have lighter on it so they can tell exactly, yeah, or basically how they see. And that's how they map 3D things out. Really cool stuff that they put into this little duck. Speaker 2 (24:04) Until it gets shot out of the air. Speaker 8 (24:07) Can they fly? Can they fly? Speaker 4 (24:10) Well, you know what? I think the only thing that's fair is that we now arm these ducks. They start firing back like the drones. Speaker 5 (24:18) I Speaker 4 (24:18) like that idea. Duck hunting is going to get interesting. Yeah. I like it. Battle ducks. That's right. How many did you get? I got two hunters. Speaker 4 (24:32) I'll teach him to quack at me. Speaker 8 (24:34) That's right. You know, you mentioned the ducks. Have you seen some of the videos of these robot races they're having in China? Crazy. Is that the creepiest? Did you see the one that mapped humans onto them? Yeah. Right? That one. And then when they smash into that pad at the end. It's freaking hilarious. I Speaker 2 (24:51) saw a robot. And we were talking about robots. I saw one that was at a display. And the guy kind of jokingly pushed him. Speaker 2 (24:59) And the robot Speaker 4 (25:00) started going, haul Kung Fu China on his ass. That's not how you treat the customer. Wouldn't it be funny if the robot just hauled off and like bitch slapped him? I mean, he's doing great kicks. He's getting his balance. He's being held down by like three of the guys off stage. Really? It looks like a fight at McDonald's like 1240 in the morning in New York. Yeah. Speaker 8 (25:22) Seen on any college campus on any given Thursday night. Speaker 8 (25:30) Right? Speaker 2 (25:30) This is old news over there. Yeah. Speaker 4 (25:33) Didn't you eat at a restaurant Speaker 8 (25:35) in Vegas or somewhere that had robotic servers? Speaker 4 (25:37) It Speaker 8 (25:37) was all robotic Speaker 4 (25:37) servers. They'd come out, they'd serve you, they would take your order. Speaker 7 (25:44) No, they'd tip them, they'd come after Speaker 4 (25:45) you. Oh, I know. So I got your face. The biometrics in, I know where you live. And by the way, I got your DNA off the spoon. Speaker 4 (25:58) You're mine now. You do have fractional fatherhood in your ancestry. I just wanted to let you know. I wasn't going to spill the beans, but now. Speaker 8 (26:09) All bets Speaker 4 (26:10) are off Speaker 8 (26:10) now, human. Speaker 4 (26:11) We'll call Speaker 8 (26:12) it even. Fractional fatherhood is one of my favorite. What's up, Louie? It's one of my favorite lines of all time. I love that. Fractional fatherhood. Speaker 4 (26:25) All right. So I'm going to I'm just going to touch on this headline, but I want to I want to continue to talk with all you gentlemen when we have everybody on air. And that is the the Roomba one I sent you earlier this week. Well, that conversation devolved pretty quickly over in Taiwan. Speaker 4 (26:43) I'm just going to hint on it. I'm just going to put it out there as a teaser because. Speaker 8 (26:48) That Speaker 4 (26:48) is hilarious. It's not necessarily a very recent one. It's about a year or two ago. And there's Gus. Louie's there. Looking all good. Gus is checking out your legs, Lou. I know. Keep your pants on, Lou. Speaker 2 (27:09) Yeah, the Roomba with the cheating wife, it's a great story. I can't wait to crack into it with you boys. I Speaker 8 (27:16) kind of get the impression that you're on the side of the plaintiff Speaker 4 (27:21) on that one. Speaker 8 (27:22) If I'm Judge Wapner in this case, I'm not sure Speaker 2 (27:25) where I'm at because there was two different rulings. There was the privacy ruling and then there was the criminal ruling. So that's where it gets kind of very interesting. It's foreign law. It's not the laws. But we do have some foreign laws within the states, it seems like. We've got a couple states that are going out to the extremes. In Taiwan, you could argue, and this is a prime example of where privacy rights and criminal law for something that we kind of take for granted here. And I can't wait to kind of touch upon it. And it was the wife that was cheating, right? I'm going to keep that as a teaser, you know? Okay, Speaker 4 (28:02) sorry. Speaker 2 (28:04) Cool story. It's not Speaker 4 (28:04) because she wasn't vacuuming. I thought you were going to say sucking. Come on, Bear. You only had half a bourbon. Right? I'll get there. I know. I know you will. But anyways, when we Speaker 2 (28:22) come back. We're going to bring Louie on. We're going to bring Eric on. We're going to crack into, before we get into our bourbon of the week, we're going to crack into Cardi's bourbon and try it just as recommended. and give our honest tasting notes on it, and hopefully it makes the top ten. Speaker 8 (28:40) I like that Traveler bottle. It's very minimalist. Well, Speaker 2 (28:43) yeah, the Traveler, it's sat on our shelf for a while now because I really like the way it looks. Speaker 4 (28:48) Oh, you've had that here? Yeah. Okay, gotcha. Speaker 2 (28:51) Yeah, so that's a beautiful Speaker 4 (28:53) bottle. It is. Yeah, it's gorgeous. Especially what Louie thinks of it. It's very classy. He's got the artistic eye. He's the eye guy. Yep. We'll be right back after this. Speaker 5 (29:11) Dockadaily.ai is not built for everyone. It's built for the counsel who already knows that speed, precision, and early intelligence win cases, shape strategy, and protect the enterprise. We serve a small circle of tech-forward attorneys who understand the value of seeing regulatory movement before it becomes tomorrow's headline or next quarter's crisis. If you've heard of us, it's likely because someone trusted you enough to mention it. Speaker 5 (29:46) If you're here, it's because you belong to the fraction of counsel who treat information as a strategic asset, not a commodity. Dockaddaily.ai, the quiet advantage for the attorneys who never wait to be surprised. All Speaker 4 (30:10) right, we are back. I was just talking about Eric. He says he's got a little string back here. I'm going to try to find it because I'm always giving the boy hugs. Speaker 4 (30:23) It gives a whole new meaning to pulling my string. No, we're lucky. We're in the second segment. We've got the boys up here. You guys are looking great. Speaker 2 (30:33) Cardi, thank you for bringing this beautiful bottle. Bring it over here, Lou. Let me look at it. Speaker 1 (30:39) Four Gate Whiskey Company. Speaker 1 (30:45) Louisville, Kentucky. Anything that starts with Louis is a pretty good thing. Speaker 2 (30:49) We've been taking Cardi's recommendation and we've been drinking it. Speaker 4 (30:53) Neat. Free-balling it. It's very sweet. Speaker 8 (30:57) It's good. That initial, when it first hits your tongue, it's super sweet. Very good. Yeah. Speaker 2 (31:02) And I like how Cardi works. He's just kind of passing it around town like it's communion. I hope you wipe the top of the bottle off. I wonder Speaker 8 (31:09) how many people just tipped the bottle and took a swig right out of it. Oh, well, that's old school, right? Do Speaker 1 (31:15) you think the younger generation knows what a swig is? I don't know. They do. Speaker 4 (31:21) Maybe not. Why don't you give the definition of a swig? Speaker 1 (31:24) I guess they would call it a gulp. I Speaker 2 (31:28) think it's important because we do have younger listeners that are learning how to drink. Speaker 4 (31:35) Going to make sure we teach them right. Properly. When I learned what a handle was, I'm like, what's that? Speaker 1 (31:45) I'd be curious to know who used that word first and why did they use swigs? Speaker 4 (31:50) Yeah, Speaker 1 (31:51) there's got to be something. Speaker 1 (31:53) Swallow something. Swallow and ingestion. Speaker 8 (31:58) Who knows? Swallow big, swig. Big swig. Yeah, Speaker 1 (32:02) big swig maybe. I don't know. I'm going to look it up. Yeah, there you go. My grandmother, I remember her saying,