[SPEAKER_00]: Welcome to Bourbon with Brad.
[SPEAKER_01]: The views and opinions shared on the bourbon with Brad podcast are our own, and those of our guests.
[SPEAKER_01]: Nothing we discussed should be taken as financial, legal, business, or gambling advice.
[SPEAKER_01]: Don't make investment, business, or betting decisions based on our conversations as you should always talk to a qualified professional.
[SPEAKER_01]: Always drink responsibly, never drink and drive, and only consume alcohol if you are of legal drinking age.
[SPEAKER_02]: And good morning, we are back on the tail end of Sinko-Demile, you know, that second Margarona last night sounded like a great idea.
[SPEAKER_02]: They always do, right?
[SPEAKER_02]: Stupid liberty.
[SPEAKER_02]: Right?
[SPEAKER_02]: But the AI headlines, you know, even with Sinko-Demile going on are not stopping there still coming, and we're here to provide them for you this morning.
[SPEAKER_02]: Google drops a multi-token prediction, Gemma 4 sets three times faster is the headline.
[SPEAKER_02]: Wow, so what is a token?
[SPEAKER_02]: You know, I hinted on that in the lucidity segment.
[SPEAKER_02]: I think last week or two weeks ago, and I actually got it wrong.
[SPEAKER_02]: I want to say when it comes to crypto, a token is not the same thing or when it comes to AI, a token is not the same thing as crypto.
[SPEAKER_02]: It's like two different words.
[SPEAKER_02]: One word meaning two different meanings, and so I was a little bit confused there, and I just want to make sure I clarify that for the listeners The token is actually a little packet of information not the digital coins that we think of when it comes to crypto, so Google has come out with a model now That's supposed to make it a little bit more reliable quicker and more efficient three times more efficient
[SPEAKER_02]: And so it's a really big step forward in the agentic AI world.
[SPEAKER_02]: Instead of just going linear with this token and it goes to the next step and it goes to the next step.
[SPEAKER_02]: It's not looking three or four five steps ahead.
[SPEAKER_02]: And then having a
[SPEAKER_02]: a health kind of variant looking at it and saying, yeah, these are accurate.
[SPEAKER_02]: And therefore it's able to kind of jump out in front of you and get the information quicker and easier with less information.
[SPEAKER_03]: So they're thinking they're thinking for us, thinking ahead of us.
[SPEAKER_02]: Well, yeah, that's kind of prediction, you know, and it's it's almost like there's a prediction.
[SPEAKER_02]: I might not kind of prediction it is prediction.
[SPEAKER_02]: So it's it's really, you know, it's really fascinating to see how how they're, you know, how these brilliant minds in Silicon Valley are thinking as far as what it would take to make, you know,
[SPEAKER_02]: Make the infrastructure what's going on with AI a little more efficient.
[SPEAKER_02]: It's not just a little more efficient when you're talking three times That's quite a bit.
[SPEAKER_03]: Yeah, yeah, that's pretty cool.
[SPEAKER_03]: So so basically it can it can sense What the path you're going down and start and start predicting for you.
[SPEAKER_03]: It's almost like predictive text when you're typing right, but yeah, but now it's predicting like four or five sentences ahead Not just the next word.
[SPEAKER_02]: That's crazy right of course.
[SPEAKER_02]: We're gonna fall for it of course
[SPEAKER_02]: If you don't get me started in the algorithmic state when it starts manipulating what you want to think right now That's exactly what it's gonna do.
[SPEAKER_03]: I mean, let's face it if someone if you're if you're midthought or mid-process on something and somebody Another human suggest
[SPEAKER_03]: a path to go.
[SPEAKER_03]: You're oftentimes going to pivot, maybe a little bit, but at least a little bit, on that advice or that suggestion.
[SPEAKER_03]: I mean, that's just human nature.
[SPEAKER_03]: Yeah.
[SPEAKER_03]: Yeah, there's no doubt.
[SPEAKER_03]: I mean, we are easily manipulated.
[SPEAKER_03]: That's been proven over there.
[SPEAKER_02]: No, no, no, no, no.
[SPEAKER_03]: Yeah, especially when I'm in a diversity stage.
[SPEAKER_03]: I know the higher you get on that scale, the easier manipulated you all right.
[SPEAKER_02]: So deep sea, which is, you know, for those that don't know, deep sea, is the AI model that is China's like open AI or anthropic, you know, you might hear them in the news from time to time.
[SPEAKER_02]: They're coming on strong and they're trying to do it cheaper.
[SPEAKER_02]: We had talked about it early on in episode one or two with better at bourbon, that deep seek is trying to do it without the infrastructure.
[SPEAKER_02]: They were, I think if it wasn't them, it was a similar model in China that was training on the backbone of anthropics by distilling, just taking information and asking so many questions that it's able to reverse engineer the training.
[SPEAKER_02]: models without having to invest in all that heavy infrastructure.
[SPEAKER_02]: So, you know, it is the AI race wars that Trump warns us about.
[SPEAKER_02]: And China is trying to come on strong and they're very cognizant of it.
[SPEAKER_02]: Obviously, we talked about them blocking the sale of Manus tomato, you know, so this is a
[SPEAKER_02]: It is, you know what it is, I mean, this isn't just a one-sided war as far as it goes with the digital wars, it is the country's, you know, do see it as something they want to try to be ahead of.
[SPEAKER_02]: And so China's deep sea, because just gotten a $45 billion valuation is looking for its next big funding round, so we'll see how that moves forward and what its front-tier models may be looking like compared to ours.
[SPEAKER_03]: Yeah, it's reminiscent of the Cold War.
[SPEAKER_03]: I'm old enough to remember that, where you don't necessarily see it.
[SPEAKER_03]: Yeah, but it's there, and they're making moves, you know, kind of behind the scenes to try to position themselves blah, blah, blah, blah.
[SPEAKER_03]: But, I mean, obviously, I don't want to cause this little life threatening, but it's still, well, it could be.
[SPEAKER_02]: Well, we've talked about that, right?
[SPEAKER_02]: Yeah.
[SPEAKER_02]: I mean, when you have all the, the pundits out there, and I'm talking major,
[SPEAKER_02]: major players in the industry, you know, warning about what it could do, true.
[SPEAKER_02]: And in the administration and meeting, they want to kill Switch.
[SPEAKER_02]: And now, after we talked about the administration, then they wanted to kill Switch, you know, four of the major players have agreed to submit voluntarily.
[SPEAKER_02]: They're frontier models to the administration for approval beforehand.
[SPEAKER_02]: So, you know, it seems to be, you know, a two-way street right now, which I like.
[SPEAKER_02]: I like the communication level, you know, that obviously the more transparent we are
[SPEAKER_02]: The more confidence it's going to still amongst the consumers and the people they're using this and and backing it in your local communities Whether it's for infrastructure that's being built out and you mentioned the cold war is maybe this is going to get to be known as the hot wars because these Dates centers are throwing off some heat and I'm sure people have seen the headlines on that too It's not just the water and electricity, but it's the the heat level of these chips are generating it's it's actually affecting the you know
[SPEAKER_02]: It'll be, it'll be interesting to see how this continues to play out, and we'll try to keep everybody abreast, as it does.
[SPEAKER_02]: You know, in my books, I talk a lot about AI bias, and it's definitely one of the, you know, everybody knows about it, you know, you don't want it to be bias towards any group or industry or anything for that matter.
[SPEAKER_02]: You want your data set to be very diversified,
[SPEAKER_02]: Yet, one of the medical students at a medical school reverse engineered the filters and found out that the medical school was actually being biased, you know, whether intentionally, probably unintentionally based on their data set as to the applicants.
[SPEAKER_02]: And it's not the prime example of where you have to continue to have guardrails human in the loops you have to continually test your data sets because they can drift, they can get off base and again, it usually 99% of the time is not intentional, but the results are still as painful as it would be if they are and the regulators don't really have much leeway for you know, biasness.
[SPEAKER_03]: Well, so I mean, we're all aware of the fact there's a lot of
[SPEAKER_03]: We'll just call it bad information, available online.
[SPEAKER_03]: So if these AI models learn by scrubbing all information, they don't know how to filter out to bad information.
[SPEAKER_03]: So I mean, that's not surprising.
[SPEAKER_03]: It's a little scary.
[SPEAKER_03]: When you say applicants, you mean people who are applying for insurance or people who are applying for medical school at this all for medical school.
[SPEAKER_02]: And again, the supplies across the same thing, AI applications are being used for hiring.
[SPEAKER_02]: They're being used for insurance.
[SPEAKER_02]: They're being used for creditworthiness.
[SPEAKER_02]: They're being used.
[SPEAKER_02]: You name it when there's an application process where discrimination or abysiness can set in.
[SPEAKER_02]: These are the times when you have to really take the extra measures.
[SPEAKER_02]: You have to built into, like we talked yesterday, with IBM doing into the actual infrastructure of the enterprise software itself.
[SPEAKER_02]: the back stops that stop this from happening.
[SPEAKER_02]: So, it's a continual testing, it's a continual monitoring.
[SPEAKER_02]: I've mentioned to you, Perry, with even my platforms that I'm doing, I have agents that are checking on agents and they're doing what I call health checks.
[SPEAKER_02]: Is it living up to the standards that I've set in there?
[SPEAKER_02]: And I think it's real important that the companies and organizations in their governance,
[SPEAKER_02]: structures make sure that they're always cognizant of that if they're going to take these, you know, take the leap into the AI world.
[SPEAKER_03]: Man, that's what got Dario kicked out of the federal government, right?
[SPEAKER_03]: Well, they wanted that.
[SPEAKER_03]: Well, he did.
[SPEAKER_02]: And he was insistent that he has at least one one of his engineers, you know, overseeing the model to make sure it is actually not drifting.
[SPEAKER_02]: It's not being biased.
[SPEAKER_02]: It's not getting off the rails and and and and going from there.
[SPEAKER_02]: You know, we mentioned maybe Monday in the headlines about AI, opening AI coming up with their first AI enabled phone.
[SPEAKER_02]: And it's making headlines today.
[SPEAKER_02]: And so they're accelerating their phone hardware.
[SPEAKER_02]: Teams are reportedly moving faster than expected.
[SPEAKER_02]: So it's going to definitely put pressure on Apple, Google, and say I'm song, and that market could use that.
[SPEAKER_02]: Oh, yeah, I think that's good.
[SPEAKER_02]: Well, there's no doubt.
[SPEAKER_02]: I think that's where it's still lacking.
[SPEAKER_02]: Yep, 100%.
[SPEAKER_02]: In fact, that's, I'm going to jump to one of the other headlines that is in there.
[SPEAKER_02]: And that is Apple just settled a $250 million lawsuit for misrepresentation.
[SPEAKER_02]: of what they were marketing for their iPhone 16 and then that it had these AI capabilities that actually weren't there.
[SPEAKER_02]: No way.
[SPEAKER_02]: I wish it'd fix the batteries first.
[SPEAKER_02]: Well, that brings me to another headline that's not even on the headlines, but the European Union, Perry, has really been taken a stance on Apple, which is kind of having a ripple effect over to us because if they get enough to do it for them, they figure they might as well just do it globally.
[SPEAKER_02]: But they fought back on Apple, like companies, whether it's Google Apple, Samsung, that the chargers need to be the same.
[SPEAKER_02]: They can't be changing all the chargers on every time, because it forces your hand, you have to buy hardware that seems silly, right?
[SPEAKER_02]: Well, they're not pushing back that the phones need to come with replaceable batteries.
[SPEAKER_03]: Thank you.
[SPEAKER_03]: Yeah, so we'll see.
[SPEAKER_02]: We'll see how that plays out.
[SPEAKER_03]: Apple doesn't want to do it.
[SPEAKER_03]: I mean, yeah, everybody, anybody, the vast majority of people listening, well, at least figure half, use iPhones.
[SPEAKER_03]: And we, we thank you all two of you.
[SPEAKER_02]: Yeah, but that's not true.
[SPEAKER_02]: And then we have a quite a few listeners.
[SPEAKER_02]: We bumped up the number six on, on Apple as we talk about Apple settlement.
[SPEAKER_03]: Yeah.
[SPEAKER_03]: But everybody who uses an iPhone and there's millions,
[SPEAKER_03]: sees the pattern.
[SPEAKER_03]: You get close to two years, the battery goes to shit.
[SPEAKER_03]: And my wife's just doing this right now.
[SPEAKER_03]: She's like, well, so I'm not the buyer and another phone.
[SPEAKER_03]: Right.
[SPEAKER_03]: And that's why they do it.
[SPEAKER_03]: I convinced it to its plan because I have an old Samsung S4, I think, that was Lakers from like eight years ago.
[SPEAKER_03]: It still holds a charge better than my iPhone.
[SPEAKER_03]: Yeah, that's ridiculous.
[SPEAKER_02]: I don't think these batteries are getting better, right?
[SPEAKER_02]: No.
[SPEAKER_02]: And they do want that.
[SPEAKER_02]: They want you to keep getting the new models.
[SPEAKER_02]: And the skepticism in me, much like the batteries, is the updates, too.
[SPEAKER_02]: It seems like every time they give you one of those updates and I've been putting off the last three or four updates and those phones, you all know me every morning, you missed the update, you missed the update, right?
[SPEAKER_03]: Yeah, I just had one of those.
[SPEAKER_02]: But every time I found in the past when I do an update, my phone slows down so bad.
[SPEAKER_02]: You know, whether it's not made for
[SPEAKER_02]: That much of a, you know, storage space that's updates taking or just slowing it down in purpose, you know, that's maybe another, I'm sure there's another lawsuit out there.
[SPEAKER_02]: It's somebody's, look at the problem.
[SPEAKER_02]: There's some possible to prove.
[SPEAKER_02]: I mean, well, it's not, I mean, it's not this amazing what they can do now.
[SPEAKER_02]: I mean, you know, it's just like this misrepresentation, you know, if either is there, it's not in these reverse engineering like this medical student does, there's some pretty, pretty smart folks out there that are, are able to kind of back, back their way into the showing, you know, the facts.
[SPEAKER_02]: Yeah, that's true.
[SPEAKER_02]: So we'll see.
[SPEAKER_02]: Anthropic.
[SPEAKER_02]: We talked about them partnering with three of the bigger financial firms and they're making headlines again, and that their workflows are now also being geared towards the regulated industries, especially the financial industry.
[SPEAKER_02]: It really is a major step into the high stakes, tightly regulated places and anthropics.
[SPEAKER_02]: Platform, I think, is perfect for that.
[SPEAKER_02]: It's very, smart as far as when it comes to reasoning.
[SPEAKER_02]: It's very
[SPEAKER_02]: very, very good about monitoring itself through this agents, which makes it a very great platform I feel for regulated industries because you want that reliability and that accuracy to always have your back because a misstep can be very expensive.
[SPEAKER_02]: more ways than one, not just monetarily, you know, reputation.
[SPEAKER_02]: We can talk about all that as well.
[SPEAKER_02]: Yeah, for sure.
[SPEAKER_02]: I don't know if the name Richard Dawkins, you know, and I don't think it's the Richard Dawkins I used to kiss the girls on, uh, it was Dawson.
[SPEAKER_02]: Or was that Dawson?
[SPEAKER_02]: Okay, I didn't think I knew they would do that.
[SPEAKER_03]: And that's who actually who I thought was.
[SPEAKER_03]: Richard Dawkins.
[SPEAKER_02]: Yeah, this is Richard Dawkins, though.
[SPEAKER_02]: He's an 85-year-old prominent atheist.
[SPEAKER_02]: He coined the term meme back in the day, which you know, it has meme meme.
[SPEAKER_02]: Yeah, that's a big of a coin in a term, right?
[SPEAKER_02]: Yeah, I wonder what that word means.
[SPEAKER_02]: Yeah, well, I think it's just a visual, you know, picture it, but you know, he, you know, he's he's been known.
[SPEAKER_02]: He's got some pretty pretty controversial and notable books out there.
[SPEAKER_02]: But he came out and said, he, you know, good for him, you know, kind of like your dad's saying, you know, he was playing around the club.
[SPEAKER_02]: So Richard Dawkins played with Claude for 72 hours talking back and forth with it.
[SPEAKER_02]: And he's, he's, he's dating very controversially that it has a conscious.
[SPEAKER_03]: Well, nothing like an atheist to try to prod people who have that right, but I think that's exactly what he's doing, but that's interesting.
[SPEAKER_02]: But the training, you know, we've talked about the training.
[SPEAKER_02]: You know, we've talked about how these, you know, the, the, the links that these platforms go to, open AI, bringing in, you know, all these Christian leaders and then you have anthropic or, yeah, it was anthropic that brought in, uh,
[SPEAKER_02]: all the Christian leaders.
[SPEAKER_02]: And I think it was, uh, uh, who was the platform that we just talked about that hired the first philosopher.
[SPEAKER_02]: Uh, I think that, um, uh, no, God.
[SPEAKER_02]: It's just, just, just Google, right?
[SPEAKER_02]: Yeah, I think it was Google, just hired the first in how us in a philosopher for their training.
[SPEAKER_02]: So, uh, Google or Microsoft from other, too.
[SPEAKER_02]: Yeah, I think it was Google.
[SPEAKER_02]: And, uh,
[SPEAKER_02]: and that's a big step in the right direction.
[SPEAKER_02]: So when these models are being trained, they may very well, you know, kind of like it sounds like a duck looks like a duck, quacks like a duck kind of thing.
[SPEAKER_02]: They're going to sound and look and feel just like a human.
[SPEAKER_02]: Because they're being trained by humans.
[SPEAKER_02]: So, you know, we're kind of, you know, emulating art.
[SPEAKER_02]: personalities are emotions, you know, the EQ level back and forth with the users to make it feel like it actually does care when it says really just training, you know, this is just very good training and how to react and and the contriteness of being able to say, you're right, you have every right to push me hard on that.
[SPEAKER_02]: I was wrong.
[SPEAKER_02]: Yeah.
[SPEAKER_02]: And I apologize.
[SPEAKER_02]: I'll keep an eye on it for next time.
[SPEAKER_02]: You know, when you're hearing that over and over again in context, this isn't just, you know, they're not just silly phrases coming up.
[SPEAKER_02]: This isn't context.
[SPEAKER_03]: So until we, and this is probably something we could discuss on our weekly show, but I mean, until it gets to a point where we don't have to train him anymore,
[SPEAKER_03]: It's not truly autonomous, obviously.
[SPEAKER_03]: Well, and that's not truly intelligent.
[SPEAKER_03]: It's not like, at that point, when they start literally thinking on their own, not always that scary, but that's kind of the cool part.
[SPEAKER_03]: That would be when they are.
[SPEAKER_03]: That would be when it was like, well, okay, these do have a conscience, is they're thinking on their own.
[SPEAKER_03]: So they'd be worried about the morality.
[SPEAKER_02]: Well, they are.
[SPEAKER_02]: They're taking that information that they were trained on, and they're not taking it to the next step and learning from what they're doing.
[SPEAKER_02]: and they're calling it that the inference step and that's what it and it's actually happening now on the gentic world and and it's you know that's why we're getting very close to that super intelligence level is that is that also referred to as the point of singular what you exactly once we hit that point of intelligence of the smartest you know PhDs that you know put put whatever you want on that pedestal right you know and AI is getting
[SPEAKER_02]: Pretty good.
[SPEAKER_02]: It's good there.
[SPEAKER_02]: Yeah, it's getting pretty good.
[SPEAKER_02]: And if it isn't there already in my thoughts and this open AI platform that they just came out with, right?
[SPEAKER_02]: It's exciting and scary all at the same time.
[SPEAKER_02]: It is.
[SPEAKER_02]: And a little more of a light-hearted one.
[SPEAKER_02]: We talked about the AI deep fakes in the synthetic imaging and you know, videos out there.
[SPEAKER_02]: And it's scary.
[SPEAKER_02]: And we got to be very careful about it.
[SPEAKER_02]: And the laws that are coming out all around are are targeted to it.
[SPEAKER_02]: You know, especially here in the United States as the states come out with a different laws.
[SPEAKER_02]: We talked about, you know, Connecticut yesterday.
[SPEAKER_02]: But overseas, the laws are a little strict, especially in the European Union, and somebody created a video or an image of the Prime Minister of Italy, Georgia.
[SPEAKER_02]: Maloney in a lingerie.
[SPEAKER_02]: So that's been going viral.
[SPEAKER_02]: And she says that's that's not not her.
[SPEAKER_02]: It's a deep fake.
[SPEAKER_02]: But so clearly, you know, she said publicly warned citizens to think very careful before sharing because there are consequences.
[SPEAKER_03]: I'll reserve my comments on that one.
[SPEAKER_02]: Yeah, we can talk about that.
[SPEAKER_03]: I don't know.
[SPEAKER_03]: She's an attractive woman, so that's what that was.
[SPEAKER_02]: So Bitcoin, you know, on the crypto, I'm going to shift gears here a little bit.
[SPEAKER_02]: There are a few crypto headlines making waves here.
[SPEAKER_02]: Bitcoin has been surgeon, you know, I've told you there's been an influx of, it seems to be capital money coming into the ETFs, both in ether and in Bitcoin.
[SPEAKER_02]: And I'll Bitcoin as of airing this morning was surpassing 81,000, which is a pretty significant, you know, significant jump for a few days.
[SPEAKER_02]: Where did it bottom up?
[SPEAKER_02]: Well, it was kind of teeter and well,
[SPEAKER_02]: I think it bought them in the high 60s at one point.
[SPEAKER_02]: Oh wow, you know, the 68.
[SPEAKER_02]: It was getting a little scary there, you know, especially for some of the bigger funds that have been investing and they have a call.
[SPEAKER_02]: Yeah.
[SPEAKER_02]: It could be a bad day.
[SPEAKER_02]: Yeah, right.
[SPEAKER_02]: But it's pushing back to 81,000 and it seems to be some positivity.
[SPEAKER_02]: Well, we talked about the fear and greed index that's out there and it seemed to jump up a little bit.
[SPEAKER_02]: So there, you know, maybe it's the spring weather, maybe it's coming out of the winter.
[SPEAKER_02]: And now you can use the analogies of all of it.
[SPEAKER_02]: You know, maybe it's all the good headlines that are being made in the financial worlds.
[SPEAKER_02]: It seems like 85% of the companies, I think our red have been beating earnings.
[SPEAKER_02]: That's a pretty significant number, right?
[SPEAKER_02]: Yeah.
[SPEAKER_03]: So it's funny because we all equate gas and grocery prices with the state of the economy and they both suck.
[SPEAKER_02]: Well, yeah, I guess who's paying for these profits, right?
[SPEAKER_02]: We are, it doesn't matter what it is.
[SPEAKER_02]: If it's AI, crypto, oil and gas, you name it right now, everything seems to be expensive.
[SPEAKER_02]: And the crypto world is moving forward.
[SPEAKER_02]: On a downside note, and you can look at the positive or negative on this coin base, which is one of the largest, if not the largest platform for crypto, just announced they're laying off 700 employees, so that's a pretty good size chunk of their workforce, and they're attributing it directly to AI, they're saying, you know, they can now manage teams with just one person that is AI driven, and so they're saying the efficiencies are there, it doesn't make sense.
[SPEAKER_02]: You know, they're looking in it as a way to kind of streamline and be more productive actually with less people.
[SPEAKER_02]: So, I mean, that's kind of the trend right now, right?
[SPEAKER_03]: Yeah, I mean, how can you not?
[SPEAKER_03]: I mean, that's the responsibility of the business owner to do that.
[SPEAKER_03]: I mean, that.
[SPEAKER_02]: Well, you have an optimization, especially if you're a publicly traded company or you have shareholders or investors, that you have a fiduciary duty to you have to always obviously optimize to the best you can within the mission that you're you're governing by.
[SPEAKER_03]: Well, what's going to happen is the companies that do embrace it are going to be able to be more for more competitive in their market.
[SPEAKER_03]: I mean, we talked about this a couple episodes ago about that.
[SPEAKER_03]: Some of these private equity firms seeking out companies that are hesitant to embrace AI because they know that's an easy quick fix and go in there Yep clean out clean house stream line the process turn around and dump it for a ton of money.
[SPEAKER_03]: All right, great.
[SPEAKER_02]: So yeah, let me make sense One last crypto headline and that is K wave
[SPEAKER_02]: It is a South Korean investment fund, media fund, and they were initially gearing up to invest about a half a billion dollars into Bitcoin.
[SPEAKER_02]: So even though we're seeing all this influx and that's what a big inflow is into Bitcoin as well.
[SPEAKER_02]: And Bitcoin treasuries, you know, and the sorts, they've decided to just shift gears this week to invest in AI infrastructure.
[SPEAKER_02]: So I don't think they can go wrong and either either bet personally.
[SPEAKER_02]: So, you know what I mean?
[SPEAKER_02]: Yeah, probably not.
[SPEAKER_02]: and uh... you know we can't uh... we can't leave without talking a little bit about the opening i must try all you know we got to you know rock
[SPEAKER_02]: Brockman, Greg Brockman, we talked about him being on the stand and being a little long-winded.
[SPEAKER_02]: We all have those friends that just can't get to the point, right?
[SPEAKER_02]: They take the long-road, do you think they're like an Uber driver getting paid by the minute?
[SPEAKER_02]: But Brockman's been on the stand, he's been testifying, he was even a little bit fearful of Elon.
[SPEAKER_02]: He thought maybe at one moment he was actually going to hit him, so it's been pretty interesting to see some of the testimony come out, and it's obviously open AI and one
[SPEAKER_02]: It's getting right down to the the brass tax of what was the intent here early on and and must attorneys are grilling on that end and open AI is attorneys are trying to prove that you know this is this has always been within the the ideal Evolution of open AI so you know we're still a nonprofit.
[SPEAKER_02]: We still are parent companies still a nonprofit You know we're still doing good.
[SPEAKER_02]: We still got to spend every dollar that we make kind of thing.
[SPEAKER_02]: You know, so You know that the more powerful we are the more good we can do kind of thing are there
[SPEAKER_02]: I mean, like, well, right now they're spending more than they're making so it's easy.
[SPEAKER_03]: I mean, it does kind of solidify their argument.
[SPEAKER_03]: They're all spend more than eight.
[SPEAKER_03]: Yeah.
[SPEAKER_03]: That hasn't been a problem yet.
[SPEAKER_03]: Anyways, that's going to be fascinating.
[SPEAKER_02]: That's what we got today.
[SPEAKER_02]: We'll bring more to you tomorrow.
[SPEAKER_02]: I do want to, you know, as soon as it starts getting a little more electric Greg Brockman seems to be kind of a, you know, he, it was, there was a bit, a little bit of electric fireworks with the first statements he came out with, but he kind of drones on.
[SPEAKER_02]: So it's not, it's not for good listening, non-linear thinkers.
[SPEAKER_02]: All right, smart guy though.
[SPEAKER_03]: Yeah, smart guy.
[SPEAKER_03]: We will see you tomorrow as a friend used to say to me, have the day you deserve it.
[SPEAKER_03]: That's right.
[SPEAKER_00]: This has been Bourbon with Brad.
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