How You Could Make Tens of Millions With AI by Next Year
This episode of The Higher Standard goes full chaos mode in the best way possible, as Chris, Saied, and Rajeil unpack the terrifyingly exciting reality that AI is no longer just a productivity tool, it is a full blown money printer for the bold, the curious, and occasionally the morally flexible. From two man companies generating hundreds of millions in revenue to the rise of AI powered business models that could completely rewrite how wealth is built, the guys explore where the opportunity is real, where the ethics get murky, and why this technology is starting to feel less like a trend and more like a once in a generation land grab. It is equal parts business insight, existential dread, and three friends realizing in real time that the future is already here and it does not care if you are ready.
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This episode is proudly brought to you by Fridays.
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🔗 Resources:
How A.I. Helped One Man (and His Brother) Build a $1.8 Billion Company (The New York Times)
The Technology Brothers Podcast Network (TBPN)
⚠️ Disclaimer: Please note that the content shared on this show is solely for entertainment purposes and should not be considered legal or investment advice or attributed to any company. The views and opinions expressed are personal and not reflective of any entity. We do not guarantee the accuracy or completeness of the information provided, and listeners are urged to seek professional advice before making any legal or financial decisions. By listening to The Higher Standard podcast you agree to these terms, and the show, its hosts and employees are not liable for any consequences arising from your use of the content.
Transcript
I'm sorry, I didn't.
Speaker B:Red light is on.
Speaker A:I didn't have my headphones on.
Speaker A:Did he say ancient fertility symbols?
Speaker B:That's right.
Speaker B:That's what he said.
Speaker B:23 Me's.
Speaker A:It's gonna be difficult to start a podcast any other way than ancient fertility symbols.
Speaker B:Let's go.
Speaker B:Let's take this off the screen.
Speaker A:What are you talking about?
Speaker A:Appreciate you.
Speaker A:Ancient fertility symbols on the screen is a great way to start a show.
Speaker B:Welcome back to the number one financial literacy podcast in the world.
Speaker B:It is Easter.
Speaker B:Happy Easter, everybody.
Speaker B:Sitting in front of me is my partner in crime, Christopher Nahibi.
Speaker A:Yeah, yeah, we're going good cop, bad cop today.
Speaker A:Black shirt, white shirt.
Speaker B:I think that's what we're doing.
Speaker A:Yeah, except my nipples can be seen through, so don't zoom in on the 4K.
Speaker A:Yeah.
Speaker A:Sitting across me on partner in time, the one, the only, the man, the myth, the legend, the man who lacks quarter zips, the King say you don't, everybody.
Speaker B:Thank you, my man, the newly unemployed king.
Speaker B:Quarters of King say you don't.
Speaker B:Yeah, it's behind the desk in the production suite, if you will.
Speaker B:The fighting Fijian.
Speaker B:What's up, my guy?
Speaker B:Hello, everyone.
Speaker B:Happy Easter.
Speaker B:There you go.
Speaker B:There you go.
Speaker A:Since you brought it up.
Speaker A:We're back, baby.
Speaker A:So since you brought it up.
Speaker B:Hold on.
Speaker A:Now that.
Speaker A:Now that you're unemployed.
Speaker A:Yeah.
Speaker A:I.
Speaker A:This is your first show you've done since then.
Speaker A:Do you feel, like, the pressure off that you can.
Speaker A:You can be more free now?
Speaker B:I feel like I could be a little bit more free on the show, yes.
Speaker B:I don't feel like I could be free in the real world.
Speaker B:Got to be a little tight with the spending, I mean.
Speaker A:Well, yeah, but let's just say, I mean, at some point you got to get another job, right?
Speaker B:Yeah, yeah, yeah.
Speaker A:So are you worried?
Speaker B:Not that big of a safety net there.
Speaker A:So you're not going to lose it, like, off the rails on the show, is what you're saying, right?
Speaker A:You got to keep it mildly contained.
Speaker B:Exactly.
Speaker B:I got to keep it mildly contained.
Speaker A:I actually haven't shared this with you guys, but this is a good time as any to bring this up.
Speaker A:I've been thinking a lot about my previous employer, Said's previous employer and the bank and its ultimate downfall.
Speaker A:And for a long time, I thought I wanted to share the story of the show, but unfortunately, doing that, I don't think we can get really accomplished with just my voice without coming off as having a bias or an interest.
Speaker B:Okay.
Speaker A:Uh, plus, Candidly, there's been so much over the course of almost 20 years that it's really hard to distill down, particularly even the demise of it all.
Speaker A:If I wanted to cover like the, the last year and a half, two years, I could not narrate it without missing details even if I tried.
Speaker B:Yeah, yeah.
Speaker A:So I thought of something else that I wanted to get both of your blessings on.
Speaker A:I thought about maybe like a reoccurring Thursday, additional drop where I bring on former employees and we talk about it openly.
Speaker A:I feel like all the employees that we, that we worked with are going through a little bit of ptsd.
Speaker A:Whether they're still there.
Speaker A:The majority of them are not because they laid off almost 90 of the company.
Speaker B:Yeah.
Speaker A:Damn.
Speaker A:Yeah, that's.
Speaker A:Say it again.
Speaker A:Damn.
Speaker A:Yeah.
Speaker B:It's like Kevin Hart.
Speaker B:Damn.
Speaker A:It's warranted.
Speaker A:Don Cheadle.
Speaker A:Damn.
Speaker B:Why you gotta say damn like that?
Speaker A:Damn.
Speaker A:But I, I think it, I think there's some value in number one.
Speaker A:I think it could be cathartic for everybody.
Speaker A:Number two, this is probably one of the most prominent questions that I get in, in DMS from people listening to the show.
Speaker A:Like, when are you gonna talk about it?
Speaker A:What happened?
Speaker B:Yeah.
Speaker B:I mean, being able to see it from a different lens each and every single time.
Speaker B:Right.
Speaker B:I mean, you, you made the decision to leave when you did, and that was how long ago?
Speaker A:July of last year.
Speaker B:July.
Speaker A:It's been almost a year.
Speaker B:It's been almost a year.
Speaker B:So then there's been people that have stuck around obviously since then up until like the final last day that.
Speaker A:Yeah.
Speaker B:You know, seen a lot of different things play out.
Speaker A:Yeah.
Speaker A:And I've been close enough to it and the people to understand what a lot of those good, bad and ugly details are.
Speaker A:So to get everybody kind of the rundown of the high level of what happened, we, we grew a bank from nothing and growing that bank, we grew it with different people coming in and out of the ecosystem over the course of, of starting it to about $13 billion in assets.
Speaker A:And we took it public.
Speaker A:Originally.
Speaker A:The NASDAQ then ultimately traded on the New York Stock Exchange.
Speaker A:It was more prestigious exchange and it offered some benefits on the NYSE side.
Speaker A:So we made that pivot.
Speaker A: contagion period happened in: Speaker A:Silicon Valley Bank Signature bank, all these banks were Failing first Reposition Public Bank.
Speaker A:Our name was brought up in the headlines.
Speaker A:Put a lot of pressure on us.
Speaker A:There's an entire regulatory conversation that needs to happen.
Speaker A:I have to think through how much that I can disclose in the show, but I'll be candid.
Speaker A:What the regulators did to us was wildly inappropriate.
Speaker A:It was wrong.
Speaker A:I tried to reach out to several different authority figures including the House Senate Banking, Finance and Urban Affairs Committee, reached very high level ranking politicians and the fdic, for lack of a better way of putting it, failed me.
Speaker A:They spun a narrative internally from their managers.
Speaker A:No one ever spoke to me to actually reach out and have an adult conversation with me.
Speaker A:No one ever gave me the opportunity.
Speaker A:They spun a narrative and everybody inside believed it because I was quote labeled toxic or nuclear I think is what they put it.
Speaker A:But it could have been farther from the truth.
Speaker A:That being said, they couldn't have done anything to me career wise.
Speaker A:It was more of what they did to the bank.
Speaker A:And what I was fighting against had nothing to do with me personally.
Speaker A:It was, I was fighting for the shareholders, right?
Speaker A:There was an activist shareholder suit which named me personally and made a bunch of claims that were completely off basis.
Speaker A:All this while I'm getting sued for $60 million by a bar I met one time and knew nothing about making all sorts of basic accusations.
Speaker A:That lawsuit is still going on.
Speaker A:I think the next hearing in that one is July of this year.
Speaker A:But that being said, you know, again, I have very little knowledge of the guy or any of the claims that are being made and I know nothing about him other than the fact that I'm being sued and what's statements are in the case.
Speaker A:So there's a, there was a lot that was going on.
Speaker A:So we ultimately brought in private equity and in bringing in private equity we went through several different rounds going back through New York, working through investment bankers and we settled on a fortress led canyon second private equity trade.
Speaker A:I have a lot of details about the people we worked with in the private equity sphere, the investment banking side.
Speaker A:I have a lot of details as to things that I think are injustices and frankly manipulations of truth.
Speaker A:And they at one point tried to use a podcast which was board approved for years to label me as distracted, which could not have been farther from the truth.
Speaker A:But that being said, it all coalesced and I made the decision that I made independent of all of those details.
Speaker A:It was just all this pressure that was effectively mounting to leave.
Speaker A:And it was one of the hardest decisions that I ever made because it left People like you and other people there.
Speaker A:I knew they were in talks to sell the Sunflower Bank, a transaction I did not approve of.
Speaker A:I still do not approve of it.
Speaker A:We had, at one point in history, tried to buy Sunflower bank before the contagion period, years before.
Speaker A:And we did not come to an agreement then for the same reasons.
Speaker A:I don't think we should have came to an agreement now to sell to them.
Speaker A:Fine.
Speaker A:I wasn't involved in it, so I can't speak to it.
Speaker A:But what I can tell you is, is that I did not agree with the strategic direction of the bank.
Speaker A:And despite my internal turmoil of whether it was being selfish or not to leave or to stay, I gave up a great deal of money to leave.
Speaker A:But that wasn't what held me back.
Speaker A:What held me back was the people.
Speaker B:Mm.
Speaker A:Because I worried about what exactly happened would happen.
Speaker A:Yeah.
Speaker A:That so many people that came to work for us would lose their jobs.
Speaker A:Mm.
Speaker A:The branches are all still there, but over 90% of the workforce.
Speaker A:Around 90% of the workforce, I should say, approximately gone, wiped out.
Speaker A:And that is not common when you take a bank that's smaller than the bank they were buying.
Speaker A:You can combine assets and do all these things.
Speaker A:However, you need to scale up.
Speaker A:You need to have people in departments, you need to have infrastructure.
Speaker B:I think from what I heard from, from people that are working around this is.
Speaker B:That's probably one of the largest rounds of layoffs that they'd ever seen.
Speaker A:I've done this.
Speaker A:I think we've done eight or so acquisitions.
Speaker A:We've been on the buying side, and we look to sell a couple times in the course of my history.
Speaker A:But I've always been on the buying side and I have never in my career laid off that many people as a percentage of the overall company.
Speaker A:I don't think that that's responsible or wise.
Speaker A:If for nothing else, you need somebody who has institutional knowledge.
Speaker A:Right.
Speaker A:And if you do make those decisions based on, for example, salary numbers that keep the lowest salary overhead, that isn't going to generally give you the most institutional knowledge, because generally the highest paid people in departments are people who've had been there for long enough to have that knowledge, if you will.
Speaker A:Right.
Speaker A:So I say all this not to give you the context of the story.
Speaker A:There's a lot more salacious that is coming, but to set everybody up for the fact that now I can and will be talking about this.
Speaker A:And I think the best way to do.
Speaker B:There's so many valuable lessons over the last 20 years that, yeah, I think that we could share and a lot of people can learn from and I.
Speaker A:Think it's lost in the show.
Speaker A:We talk a lot about things like, you know, non farm payroll and census and you know, CPI and PPI and you know, geopolitical conflict that's causing all the stress in the markets and yeah, we talk about all these things.
Speaker A:But, you know, I, and I don't think that I'm anything special.
Speaker A:I was in a very lucky set of circumstances to get to where I was career wise and, you know, I'm grateful for every moment of it.
Speaker A:But at 45, gonna be 46 not too long from now, I can say that I've.
Speaker A:I feel like I've lived through an entire career that I don't want to live through that again.
Speaker B:Yeah, that was, that was really hard stomach.
Speaker A:Yeah.
Speaker B:You know, seeing everybody go through.
Speaker B:There was a lot of turmoil over the last year or so, I'd say.
Speaker B:And a lot of people had to wear a lot, a lot of hats just to get us across the finish line.
Speaker B:And I'm really proud of what we were able to accomplish.
Speaker A:You should be.
Speaker A:I think, I think a lot of people that were there rose to the occasion and thought that they were going to be rewarded for it.
Speaker B:But I think definitely some of that,.
Speaker A:I think that that's not the reality of private equity.
Speaker A:And yes, I'm talking about U Fortress.
Speaker A:Yes, I'm talking about Ucanyon.
Speaker A:Shame on you guys.
Speaker A:Shame on you.
Speaker A:You can run a company off a balance sheet and numbers and you can run it off of financial statements, but that doesn't mean that you understand the people and the nuances of what you're putting together.
Speaker A:And frankly, your 30% return is despicable.
Speaker A:It's not impressive for two years worth of work and it should have been and could have been better.
Speaker A:But you chose to listen to the wrong people because you believed in a narrative of what somebody told you versus the truth, what was in front of you.
Speaker A:And I will unpack that all in detail.
Speaker A:And they can't stop me.
Speaker A:I hope they send me a cease and desist letter because you can't stop me.
Speaker A:I hope that they try to stop some of the people coming on the show that are going to come on.
Speaker A:And I've talked to people that are going to surprise the hell out of a lot of people that I'm going to bring on this show that are willing to talk about, that want to talk about it.
Speaker A:And frankly, it's going to be some people that you think don't get along with me.
Speaker A:Oh, wow.
Speaker A:Yeah.
Speaker A:I think there's a lot of people whose stories tie in, and some of them are going to be very different than my perspective that we're going to bring on.
Speaker A:And we're going to do this in a. I don't want to say like, like a whodunit mystery kind of thing, but I definitely want to do it in the context of.
Speaker A:Of like, look, there's always other sides.
Speaker A:And to that end, the reason why I'm bringing this on the show now is inevitably somebody who worked with us in the past is going to forward this to some of the people that I've suggested a reference right now.
Speaker A:I'm going to make this clear right now.
Speaker A:Any private equity firm or their representative who wants to come on the show, anybody, including the CEO who took over, who I very much have a problem with, including the board, who I feel very much disrespected by and I have very big problems with, I will let every single one of them come on the show and have an adult conversation with me with no judgment.
Speaker A:We can do that live on the show.
Speaker A:Yeah.
Speaker A:We can speak to one another face to face and we can hash out what I think are material differences.
Speaker A:And maybe I'm wrong.
Speaker A:I'm willing to be open minded enough to hear that.
Speaker B:Yeah.
Speaker A:Yeah.
Speaker A:But I will not do that behind closed doors.
Speaker A:Yeah.
Speaker B:Who else is going to offer up that kind of opportunity?
Speaker A:They're not.
Speaker A:And I'm not going to do it behind closed doors.
Speaker A:I'm not going to do this with you.
Speaker A:Get to be a coward and hide behind anonymity.
Speaker A:Come on the show and tell me why your side is right and I will tell you why I think it's wrong.
Speaker A:And maybe we can convince each other, the other side, but I don't think anyone's gonna take me up on that offer.
Speaker B:We'll send out offer letters.
Speaker A:No, that is their offer letter.
Speaker A:Yeah, they heard it.
Speaker A:A lot of people listen to the show now, and I fully appreciate that.
Speaker A:So when you forward it, just say hugs and kisses for Chris.
Speaker B:Xoxo.
Speaker A:All right.
Speaker A:So today's gonna be a different show than normal.
Speaker A:Normally, talk about the market and data points.
Speaker A:I took last Wednesday off.
Speaker A:I was doing something with my son.
Speaker A:And then on Friday was his birthday, so.
Speaker A:So it was also Good Friday.
Speaker A:The markets were closed.
Speaker A:So we spent a little bit of time away from the markets.
Speaker A:And I had some time to think objectively about some things that I wanted to talk about on the show.
Speaker A:And I'm hitting both side And Rajeel Cold with some stories, because these are two stories of why you have to be very careful about the narratives that you hear these days.
Speaker A:Okay.
Speaker B:And the headlines that you read.
Speaker A:And the headlines that you read.
Speaker A:And as sayed, I think you probably know the first one.
Speaker A:There is a company called medbay.
Speaker B:Mm.
Speaker A:Yeah.
Speaker A:I sent it to you guys in the show notes.
Speaker A:It made the rounds on social media.
Speaker A:And, well, it is an interesting company.
Speaker A:And I'm going to go ahead and read to you a little bit of a narrative that came from the Wall Street Journal article on it.
Speaker A:And the New York Times also reported on it.
Speaker A:New York Times just profiled MEDV as the AI success story of the decade.
Speaker A:Now, as kind of a primer to this, Sam Altman, CEO, who we talked about before, CEO of OpenAI.
Speaker A:Okay.
Speaker A:Has said that he believes the age of a one person billion dollar company is quickly upon us.
Speaker A:And this seemingly was and is that company.
Speaker A:Okay.
Speaker A:I say seemingly because there are some nuances here which I will leave to the listener to judge as okay or not.
Speaker A:Okay.
Speaker A:Fair enough.
Speaker A:Fair.
Speaker A:And you were going to be the voice of the listeners.
Speaker B:Yeah.
Speaker B:Okay, let's go.
Speaker A:Yeah, I'm keeping it nice and frosty in here.
Speaker A:So everybody's awake.
Speaker A:Everybody good?
Speaker A:Boys, you good?
Speaker B:Yeah.
Speaker B:Yep.
Speaker A:All right, so this is an AI success story of the decade.
Speaker A:$1.8 Billion in projected revenue.
Speaker A:Keyword projected revenue, not actual revenue.
Speaker A:I'll explain that here in a little bit.
Speaker A:Two employees.
Speaker A:Sam Altman's prediction was made real.
Speaker A:The two employees were the CEO and his brother.
Speaker B:Okay.
Speaker A:Everything else was AI ran.
Speaker A:Wow.
Speaker A:Okay.
Speaker A:And they are surprisingly open about the logistics of this.
Speaker A:So there is no secrets here.
Speaker A:All right?
Speaker A:All right.
Speaker A:So here's what the New York Times didn't lead with.
Speaker A:Right?
Speaker A: an FDA warning letter number: Speaker A: d a data breach in January of: Speaker A:Okay.
Speaker A:But Open Loop is a third party company.
Speaker A:They were work they were using for their clinician services.
Speaker A:Right.
Speaker A:Okay.
Speaker A:So they didn't really do that.
Speaker A:It was the company they contracted with.
Speaker A:And yeah, that sucks for them.
Speaker A:Their name's on it.
Speaker A:They've got to do some disclosures and some, you know, some dialogue that has to go out, you know, because of that.
Speaker A:But that's not really.
Speaker A:They're bad.
Speaker A:They're bad, right?
Speaker A:I mean, maybe their vendor was poorly chosen.
Speaker A:Maybe Their controls were in place.
Speaker A:But again, I don't see that as a big problem.
Speaker B:Okay.
Speaker A:But it caught a lot of fanfare.
Speaker A:So for now, you, the consumer, you're like me.
Speaker A:Yeah.
Speaker B:It doesn't bother me too much.
Speaker A:Okay.
Speaker A:I mean, unless it was your dad of being breached, in which case it bothered you.
Speaker B:It would bother me a little bit more.
Speaker B:Yeah, I mean, I mean, dude, how many Yahoo had a data breach and I don't think it's recouped all those users back and some.
Speaker B:Yeah, I mean, and that's people's personal emails, so.
Speaker A:That's right.
Speaker A:Yeah.
Speaker A:So a fair, fair statement.
Speaker A:Futurism reported that they used AI generated deep fakes before and after photos in their marketing.
Speaker A:So this company was not very old.
Speaker A:Matter of fact, this is year one, year two.
Speaker A:Right.
Speaker A:It's in its second year.
Speaker A:Okay.
Speaker A:It's going to be thematic.
Speaker A:Of the two companies we're talking about tonight, Very, very quick to profits, very, very quick to turn and you can judge the end result.
Speaker A:Okay?
Speaker A:So I would think of this and go.
Speaker A:Wait a minute.
Speaker A:If you guys got started with two employees, right?
Speaker A:You and your brother.
Speaker A:And do me a favor, Reill, while this is looking up, there's also a Fortune article.
Speaker A:Fortune.
Speaker A:Look up Fortune medv, AI success or something to that effect and see if you can find the Fortune story.
Speaker A:That one's a little more agnostic.
Speaker A:I do want to read that one at some point too.
Speaker A:I want to go over the bad stuff first because then I want to give you the way it was presented.
Speaker B:Perfect.
Speaker A:Close.
Speaker A:Yeah, close the thing and bring it up.
Speaker A:Perfect.
Speaker A:All right, so Futurism reported the AI defects before and after photos of them.
Speaker A:Close.
Speaker A:One on the bottom right too, if you don't mind.
Speaker A:Little bar there.
Speaker B:Closing.
Speaker A:Yeah, there you go.
Speaker A:Perfect.
Speaker A:All right, we'll get to this in a minute.
Speaker A:Leave it up there.
Speaker A:All right, so they use deep fakes for.
Speaker A:The company, sells GLP1s.
Speaker A:Okay.
Speaker A:And now they've branched out to some other products as well, but they're selling GLP1s.
Speaker A:They gave you a before and after, and they're deep fakes, effectively fake P people before and after.
Speaker A:But we do know this product works.
Speaker A:Okay, Right?
Speaker A:Again, I'm playing devil's advocate.
Speaker B:We do know that GLP ones work.
Speaker B:But yeah, it does bother me that a company is using like fake testimonials.
Speaker A:I mean, but again, this is medically tested and known to work products.
Speaker A:So the photo of the before person and the after person might not be real, but the results that you do get.
Speaker A:Are real.
Speaker A:Right, Right.
Speaker A:So where.
Speaker A:I mean, again, where are we drawing the line?
Speaker B:That's where the.
Speaker B:Yeah, yeah, that's.
Speaker B:Yeah.
Speaker B:When you see that in the bottom corner, results may vary.
Speaker A:I'm like, I'm not trying to defend them.
Speaker A:I'm just.
Speaker A:I'm playing the other side.
Speaker B:Devil's advocate.
Speaker A:Right, Devil's advocate.
Speaker A:Because I want to.
Speaker A:I want to.
Speaker A:I want to people to understand that there were some sacrifices made to get here.
Speaker B:Okay.
Speaker B:Was there any disclaimers on the pictures?
Speaker A:I don't know.
Speaker A:It's unclear.
Speaker A:But as these articles have all picked this up, it seems to suggest that they were very open about this and they actually openly talk about their entire infrastructure.
Speaker A:So I would be surprised if they weren't disclosing.
Speaker A:Yeah.
Speaker A:Right.
Speaker A:So if they were disclosing that these images are just AI generated, would would that have changed your perspective?
Speaker B:It probably would have changed my perspective.
Speaker B:I think for a majority of the people, they don't even understand or actually even care enough to go down the rabbit hole of understanding what the compounds are in the GLP1s.
Speaker B:So for them, they might think, do they have like their.
Speaker B:Is it.
Speaker B:Do they have their own version of a GLP one that's like proprietary to them and they don't have like real photos?
Speaker B:I can't trust this company.
Speaker B:I'd rather go to a real company like Fridays and get.
Speaker B:And get, you know, good quality stuff there.
Speaker A:Speaking of which, we are brought to you by the team over Fridays.
Speaker A:You can go to join Fridays.com Enter the code.
Speaker A:Higher.
Speaker A:Get $100 off your first order.
Speaker A:They sell GLP ones from Real humans.
Speaker A:Yeah, right.
Speaker B:And.
Speaker B:And, yeah, exactly.
Speaker B:Regil is our testimonial right there.
Speaker A:Yeah.
Speaker A:And that is a real, not deep fake version of the thick fake.
Speaker B:Yeah, exactly.
Speaker A:Yeah.
Speaker B:Where.
Speaker B:Where are we at now?
Speaker B:What's scale at?
Speaker B:Down.
Speaker B:Down.
Speaker B:How many in total?
Speaker B:I'm at like 183.
Speaker A:You said 83 pounds.
Speaker A:They really work.
Speaker A:You should go to join Fridays.com.
Speaker A:He's going higher now.
Speaker A:You look great with Jill.
Speaker A:Yeah, you really do.
Speaker B:Thank you.
Speaker A:Yeah, you, the classic English green shirt too slim.
Speaker B:So classy.
Speaker A:All right, so, but again, this.
Speaker A:This is an interesting story because Fridays is a great institutional way of doing this.
Speaker A:And to give you an example for the overhead in companies like Fridays like hims, it's about 5.5 to 6% is your typical profit margin.
Speaker A:Right.
Speaker B:Oh, that's good.
Speaker A:Right.
Speaker A:These guys over at MEDV had an over 16% profit margin because unlike HIMS, for example, which employs over 2,400 employees.
Speaker A:This company employed two.
Speaker B:Two.
Speaker A:Right.
Speaker A:Yeah.
Speaker A:So you have to wonder, like, where are you cutting corners?
Speaker A:Right, let's get into that.
Speaker A:So now we have the deep fakes.
Speaker A: as filed in Delaware November: Speaker A:And now they're running 800 plus fake doctor accounts on Facebook to sell compounded GLP1s.
Speaker A:Yikes.
Speaker A:So what they did, to be clear here, is they created over 800 fake doctor pages, pages that look like doctors.
Speaker A:Those doctor pages then ran paid ads for.
Speaker A:For their company to sell the ads for real GLP1s.
Speaker A:Yeah.
Speaker B:So it's like.
Speaker B:It's like somebody creating a fake, like, press release about them and going and doing over 800 times to make themselves seem a certain kind of way, only just to promote them.
Speaker B:Right.
Speaker B:It's like.
Speaker B:But they're promoting their financial services for something that they're actually doing.
Speaker A:You log into Facebook, you see a doctor who's got some followers, who's made some posts, and you go, oh, he's.
Speaker A:He's got an ad that I'm now seeing in my rotation.
Speaker B:Yes.
Speaker A:For this GLP1.
Speaker A:And he's backing it.
Speaker A:He's a doctor.
Speaker B:Yes.
Speaker A:Right, right.
Speaker A:That doctor isn't real.
Speaker A:He's made up, but the product is real.
Speaker B:Okay.
Speaker B:So, yeah, this is for me as right there.
Speaker B:I'm out.
Speaker B:Yahtzee.
Speaker B:I'm out for me personally.
Speaker B:Yeah.
Speaker B:Because I'm like, I don't know what.
Speaker B:What else could this company be like?
Speaker B:I guess producing.
Speaker B:That's not real.
Speaker B:That, you know, I should have been made aware of early on.
Speaker B:I just don't feel like I could trust it.
Speaker A:That one, that was the one that got me to.
Speaker A:That was the one where I was like, see?
Speaker B:Yeah, it's a little too far right now.
Speaker B:You're really manipulating.
Speaker B:Yeah, right.
Speaker A:It's a little too far.
Speaker B:Yeah.
Speaker A:But there is no business.
Speaker A:Business ethics specifically which.
Speaker A:Say, the doctor stuff.
Speaker A:I'm testimonial.
Speaker A:But they're not real.
Speaker A:You know, and they didn't use their medical license to prescribe it to you.
Speaker A:They just look like a doctor was selling you an ad.
Speaker B:Right.
Speaker A:Because it's a gray area.
Speaker A:Yeah.
Speaker B:Because fake, deep fake photos, you're like, okay, well, I don't.
Speaker B:I personally don't even go down that rabbit hole.
Speaker A:Right.
Speaker B:I'm like, okay, it's gonna work for me.
Speaker B:Mine's gonna look different.
Speaker B:I'm not even really looking at other people's photos, just feet yeah.
Speaker B:Just feet only.
Speaker B:Yeah.
Speaker B:I gotta make sure the weight is falling off the toes, but.
Speaker A:So let's say your wife comes over to you and she looks over your shoulder one night, late at night, and you're in bed and you're up and she sees you looking at someone's feet.
Speaker B:Yeah.
Speaker A:Do you feel guilty about that?
Speaker B:That would be wrong.
Speaker A:That'd be wrong.
Speaker B:If it's just feet.
Speaker A:What if you just.
Speaker B:Because you know.
Speaker B:Because you know at that point you're staying up, looking up feet for.
Speaker B:As a fetish.
Speaker A:No, no, no.
Speaker A:What if it wasn't a fetish?
Speaker A:What if you just compliment.
Speaker A:No, no, that's looking at foot.
Speaker B:Yeah, yeah, that'd be a tough.
Speaker A:Oh, Ronaldo's foot.
Speaker A:Let me look at that real quick.
Speaker B:Yeah.
Speaker B:Just going to start questioning, like, why'd you compliment my feet?
Speaker B:Now you're looking at other people's feet.
Speaker A:Well, let's do a litmus test.
Speaker A:Have you ever looked at LeBron's hammer toes?
Speaker B:I have.
Speaker A:See?
Speaker A:Dirty, dirty boy.
Speaker B:Hold on.
Speaker B:That's because I'm curious.
Speaker B:I'm curious.
Speaker B:I'm curious because you did, too.
Speaker A:You did.
Speaker B:You just say you're curious.
Speaker B:Right there.
Speaker B:I've also done.
Speaker A:Yeah, See, all.
Speaker A:All this mythology is based at least in part in fact.
Speaker B:Right, Exactly.
Speaker B:There's some truth.
Speaker A:There's some truth inspired by truth.
Speaker A:Rely.
Speaker A:Right, Right.
Speaker B:Yeah.
Speaker B:For me.
Speaker B:Okay.
Speaker B:That detail about this whole story makes me want to bow out.
Speaker A:Okay, well, it gets interesting.
Speaker A:All right, so this lawsuit over the 500 or $800 doctors is a problem and is filed in November.
Speaker A:So we haven't got anywhere yet.
Speaker A:The company holds no proprietary technology, mind you.
Speaker A:They're on target to make $1.8 billion.
Speaker B:Right.
Speaker A:Okay.
Speaker A:They have no proprietary technology, no licensed physician network, no pharmacy infrastructure.
Speaker B:How many clients is that?
Speaker A:That's a lot.
Speaker B:That's a lot of clients.
Speaker B:Because these.
Speaker B:What, the monthly fees for some of these GPOs.
Speaker B:It's.
Speaker A:It's.
Speaker B:It's not very much.
Speaker A:300 Bucks.
Speaker B:Yeah, yeah, yeah.
Speaker B:And if you got a discount code, like, higher, it could be 200 bucks.
Speaker B:Yeah, it definitely could be.
Speaker B:Welcome.
Speaker B:Yeah, but I mean.
Speaker B:I mean, that's a lot of clients.
Speaker A:Doesn't know your game.
Speaker B:So.
Speaker B:He doesn't know what I'm doing.
Speaker A:He doesn't know it.
Speaker B:No.
Speaker A:Doesn't know the game.
Speaker B:But.
Speaker A:No, seriously, he's been on this color commentator section for a while now, bro.
Speaker B:It's a whole country on GLP1.
Speaker B:It's like, what's going on?
Speaker A:It's Got.
Speaker B:That's what I'm saying.
Speaker B:Between you got hims Fridays.
Speaker B:This company, like, what's going on?
Speaker A:You only have Fridays.
Speaker A:Everybody else.
Speaker A:Yeah, you better be on Fridays.
Speaker B:That's.
Speaker B:That's the thing.
Speaker B:What?
Speaker A:Yeah, no, it's fine.
Speaker A:So the company holds no proprietary technology, no license position network, no pharmacy infrastructure.
Speaker A:It outsources every regulated function to two companies.
Speaker A:You ready Care Validate and Open Loop, while keeping the customer relationship, the checkout flow and the spend.
Speaker A:Hmm.
Speaker A:So are they the problem or is it the two companies behind them?
Speaker A:So basically, let me tell you how to run this business.
Speaker A:You are a marketing company.
Speaker B:Yes.
Speaker A:You own the marketing checkout and you sell those leads to two different companies that work together, Care Validate and Open Loop.
Speaker A:And those two companies supply the product.
Speaker B:Yeah.
Speaker A:That's what's really going on here.
Speaker A:This is not a GLP1 company.
Speaker A:It's a GLP1 company, but it's really a marketing company disguised as a GLP1 company.
Speaker A:And this is not going to be the last time we see this model.
Speaker A:This happens a lot in white papered healthcare, in fitness and nutrition products, in.
Speaker A:You name it.
Speaker A:Remember those, the mattresses thing we talked about in the previous show?
Speaker A:Those mattresses that are all foam, mattresses that are rolled up and come to your house in boxes like Casper, they're all the same.
Speaker A:They all came from two companies.
Speaker A:One on the east coast, one on the west coast.
Speaker A:One of the west coast was my client.
Speaker A:They were former partners who worked together.
Speaker A:They branched off, had a fight.
Speaker A:The guy on the east coast moved to the west coast.
Speaker A:Now that's your two major hubs.
Speaker A:They came up with that technology to vacuum seal it and every product you get.
Speaker B:Yep.
Speaker A:Tempur, Pedic, Ortho, Casper, if it's rolled up in a suction, you know, sealed bag.
Speaker B:Yeah.
Speaker A:Right.
Speaker B:Came from them.
Speaker A:Came from them.
Speaker A:Right.
Speaker A:And if you had a marketing arm to layer on top of that, and you're going to move a lot of product, they're going to do whatever they can to give you best pricing.
Speaker B:So let me ask you, does this bother you that there's not more regulation around this or do you think this is what part of it do you think?
Speaker B:Yeah, I know.
Speaker B:How would you.
Speaker B:Like, where would you even start?
Speaker A:Better question still is, did they know about the 800 fake Dr.
Speaker A:Pages?
Speaker A:Was the AI open loop, you mean?
Speaker A:No, no, no.
Speaker A:So like, did Open Loop, did Open Loop and the other one, Care Validate, did they know?
Speaker A:But even if they, should they be.
Speaker B:Required to know, like should they have.
Speaker B:Should have done enough due diligence to.
Speaker A:Know or did the owners of the company, how empowered was their AI model?
Speaker A:Did the AI model make those accounts and start the market?
Speaker A:Because if there's only two guys, there's.
Speaker B:Got to be laws around using fake testimonials.
Speaker B:Yeah.
Speaker B:I feel like this is kind of like catfishing, bro.
Speaker B:There's got to be laws around fake testimonials.
Speaker B:You can't get.
Speaker B:You can't be getting away with that.
Speaker B:That's crazy.
Speaker A:Well, I mean, look, let's be honest.
Speaker A:Every Amazon product has got fake testimonials, okay?
Speaker A:Half the followers,.
Speaker B:Yelp reviews.
Speaker B:Yeah.
Speaker A:Instagram fake.
Speaker A:Yelp reviews, fake.
Speaker A:Everybody's fake.
Speaker A:Yeah.
Speaker B:Instagram comments, fake.
Speaker A:It's just, how can you make the fakeness look more real?
Speaker B:The only real ones are.
Speaker B:So my son, for the first time, begged me to jump on and watch a Mr.
Speaker B:Beast live video today.
Speaker B:I guess it was a streamer thing.
Speaker A:You did it.
Speaker B:He did it.
Speaker B:I let him do it.
Speaker B:Right, because it was the first one that you wanted to see.
Speaker B:It was.
Speaker B:It was going so wild that it was like crashing.
Speaker A:Yeah, we don't have that problem here.
Speaker A:We don't have that from the higher standard.
Speaker A:Not yet.
Speaker A:Yeah, we do.
Speaker B:Not yet.
Speaker A:One day we will shout out to those four repeat listeners.
Speaker A:Right.
Speaker B:But I'm like, that's how you know it's real.
Speaker A:It's a problem.
Speaker A:All right, so now you know their entire business network.
Speaker A:Right.
Speaker A:You know how it works.
Speaker A:The entire business is a marketing layer on top of a rented infrastructure.
Speaker A:And the marketing itself is built on fabricated medical credentials.
Speaker A:That's a problem.
Speaker B:That's a big problem for me.
Speaker A:Okay?
Speaker A: ion in revenue last year with: Speaker B:Don't you know somebody up high in HIMS too?
Speaker A:Yeah, yeah, yeah.
Speaker A:Not because I, you know.
Speaker B:No, not because you use the product.
Speaker A:Yeah.
Speaker B:You don't need that.
Speaker A:No, I do need that.
Speaker B:You know, you got surgery for that.
Speaker A:Oh, the hair?
Speaker B:Yeah.
Speaker A:I thought him was testosterone replacement therapy.
Speaker B:Oh, no.
Speaker B:They do hair stuff, too.
Speaker B:I think they do it all.
Speaker B:I think.
Speaker B:Yeah, they do it all.
Speaker A:I've had all of it.
Speaker A:Anyway, I've had a hair transplant.
Speaker A:I'm on trt.
Speaker B:Yeah.
Speaker A:Peptides, Somebody of the day.
Speaker B:I thought they started off as like a hair thing.
Speaker A:Was it?
Speaker B:Yes, yes.
Speaker B:Hair loss.
Speaker A:Yeah, we don't know about that.
Speaker A:Well, I didn't even know that.
Speaker B:You should know that.
Speaker A:Beautiful hair.
Speaker B:I had a Friend from high school.
Speaker B:I think it was like 20 years old.
Speaker B:He was balting and they started taking hymns and then going ball.
Speaker B:Going balling at 20s wild.
Speaker B:Oh, yeah, what's that like?
Speaker B:It came back, though.
Speaker A:I wasn't balding to him.
Speaker A:My hair just got really thin.
Speaker A:Yeah, yeah, yeah.
Speaker A:But I mean, it's not like it's better.
Speaker A:You can't go sunroofs.
Speaker A:The devil.
Speaker A:Done.
Speaker A:Elevator.
Speaker A:Why are overhead lights in every elevator?
Speaker A:Fuck you, elevator.
Speaker B:Why do you need that?
Speaker A:You don't need that.
Speaker B:Yeah.
Speaker A:You just want to make.
Speaker A:No, like, nobody want to ever find me attractive in the elevator.
Speaker B:Right.
Speaker A:You know, like, all those movies are like, it's romantic where you go up in elevator and like some hot girls in there.
Speaker A:Nope.
Speaker A:I'm close to the walls.
Speaker B:Yeah.
Speaker A:Yeah.
Speaker B:I mean, would you give up five inches of height?
Speaker A:Yes.
Speaker A:No.
Speaker A:Yeah.
Speaker A:Oh, yeah.
Speaker A:Five.
Speaker B:You give a five.
Speaker A:So you'd be six feet.
Speaker A:This love affair with, like being tall.
Speaker A:I'd be 6:1.
Speaker A:That's perfect.
Speaker A:He.
Speaker A:I would gladly give up 5 inches of height.
Speaker A:I don't have 5 inches.
Speaker A:Other places to give up.
Speaker A:Just to be clear.
Speaker A:Okay.
Speaker A:I would be negative.
Speaker A:Yeah, yeah.
Speaker A:This is a true story.
Speaker A:I don't want to share it.
Speaker A:I'm sure it.
Speaker A:Anyway.
Speaker A:There's a porn star called Girthmaster.
Speaker B:Girth Master is wild.
Speaker A:Is this like large looking white dude?
Speaker B:I heard of Girth Brooks.
Speaker A:I've never stopped.
Speaker A:I've never seen how big it is.
Speaker A:But I almost kind of want to know, right?
Speaker A:Because I saw him on a podcast.
Speaker B:If you're creative enough, I need to know.
Speaker A:I now it's like, that's your name.
Speaker A:It's got to be big, right?
Speaker A:It's got.
Speaker A:I mean.
Speaker A:Yeah.
Speaker A:So I saw my interest.
Speaker A:I saw him on a podcast.
Speaker A:I didn't know who this guy was.
Speaker A:Looks like a regular average Joe.
Speaker A:Right, Right.
Speaker A:Looks like a large guy.
Speaker A:Yeah.
Speaker A:And he said that he went viral and he got the name Girth Master because he posted a picture of it next to a wine bottle.
Speaker A:And I'm like, wait, what side of the wine bottle?
Speaker B:True to size.
Speaker A:Just, you know, if that's what you got rolling around, like, you can't be happy about that.
Speaker B:Yeah.
Speaker B:How do you go about living?
Speaker A:I mean, go about day to day.
Speaker B:Just like walking around like that.
Speaker A:Just like burn holes in the front of your underwear every 20 minutes.
Speaker B:Hold on.
Speaker B:That's not even comfortable.
Speaker A:That's not real.
Speaker B:Yeah.
Speaker A:You don't want that.
Speaker B:You don't want that.
Speaker A:No.
Speaker B:So you're Saying that.
Speaker B:That's like, that you don't want to be 6 5.
Speaker B:It's like.
Speaker B:This is uncomfortable.
Speaker A:It's uncomfortable.
Speaker B:I see.
Speaker A:You can't buy pants.
Speaker B:Can't buy off the rack.
Speaker A:No, it's a problem.
Speaker B:I can't buy off the rack either.
Speaker A:For.
Speaker B:For what it's worth.
Speaker A:Yeah.
Speaker A:Your booty's just abnormally large, bro.
Speaker A:Yeah.
Speaker B:Gotta get everything hemmed.
Speaker A:So you just get, like, the triple X large, have the waist and the thighs taken in.
Speaker B:Very excited about, you know, baggy being back in.
Speaker B:Yeah, it's very good for me.
Speaker A:Very good for me, too.
Speaker B:Yeah.
Speaker A:Yeah.
Speaker B:Those skinny jean days, those are rough days.
Speaker A:Yeah.
Speaker A:I got some bad skinny jeans.
Speaker A:Almost being able to get into.
Speaker A:On the show.
Speaker A:Yeah.
Speaker A:I've shoehorned my ass into plenty of skinny jeans, but my knocks don't fit.
Speaker A:All right, so Medv claimed a 16.2% net margin with two people.
Speaker A:The margin difference tells you where the compliance spending may have gone.
Speaker A:Or in this case, not gone.
Speaker A:Right.
Speaker A:But again, I don't know how much compliance is there.
Speaker A:Maybe we should have our friends from Fridays back on.
Speaker A:Yeah.
Speaker A:And Weiss.
Speaker B:Yeah.
Speaker B:How much regulatory pressure do they even see?
Speaker A:You know, I mean, I'm assuming a lot, but again, some of these government agencies are super underfunded.
Speaker A:Goes on.
Speaker A:The AI built the website.
Speaker A:The AI runs customer service.
Speaker A:The AI generated the deep fakes before and after.
Speaker A:So my question is, is, did the two brothers who run this.
Speaker A:Did they know?
Speaker B:Stop it?
Speaker B:Yes, they did.
Speaker A:I mean, again, I don't know if you're.
Speaker A:Look, I've built a lot of AI.
Speaker A:We know this.
Speaker A:There are things that it can do, depending on what your limits are.
Speaker B:There's.
Speaker B:There's two employees.
Speaker A:Yeah.
Speaker B:They.
Speaker B:They understand their market.
Speaker A:Hold on.
Speaker A:Somebody went to the website.
Speaker A:I get it.
Speaker A:They're.
Speaker B:They're a marketing company.
Speaker A:Who's this fat guy?
Speaker A:Hold on.
Speaker B:Right?
Speaker B:If you're a.
Speaker B:You're a marketing company, you care about your product online, which is the website.
Speaker B:That is.
Speaker B:That is your only product at that point.
Speaker B:No, come on.
Speaker A:They knew I got it.
Speaker B:Let's.
Speaker B:Let's not do that.
Speaker A:All right, Fair enough.
Speaker A:So the entire company is an AI powered fraud machine that happens to also sell real drugs.
Speaker A:Now, unfortunately, this came out in the article that Rejeel pulled up, how Medvi found success with just $20,000 and AI.
Speaker A:The original investment by the brother who started it was $20,000.
Speaker A:Look, here.
Speaker A:Here's the unfortunate part about all this.
Speaker A:Okay?
Speaker A:All right?
Speaker A:And look, I don't want to Be the.
Speaker A:The buzzkill here.
Speaker A:I enjoy it personally, but that's not why I'm doing it.
Speaker A:Right.
Speaker B:I enjoy watching you be the buzzkill.
Speaker A:Okay, for what it's worth, here's the problem.
Speaker A:Scroll down a little bit here.
Speaker A:So let's get to the paragraphs of this.
Speaker A:Perfect.
Speaker A:A little more down.
Speaker A:Just.
Speaker A:There we go.
Speaker A:There we go.
Speaker A:So, you know, I want to get into MEDV.
Speaker A: en for business in September,: Speaker A:Into the market, already crowded with hims and hers and Roe and of course, Fridays, which is much bigger than any of these companies.
Speaker B:Much better than these companies.
Speaker B:Right?
Speaker A:And outpace both on margin.
Speaker A: million in revenue in: Speaker A:There's your answer, Saeed.
Speaker A:So, again, so now here's what we know.
Speaker A:They started in late in.
Speaker A: In: Speaker A: Their first full year was: Speaker A:He made 401 million.
Speaker A:Okay?
Speaker A:Now, 401 million is a pretty interesting number.
Speaker A:Let's just say 10%.
Speaker A:He took home 40 million of that.
Speaker A:Okay?
Speaker A:Which we know he took home more.
Speaker A:All right, let's just say you're him and I'm your brother and we're running this company, okay?
Speaker A:And we know we're doing some dirty ass, right?
Speaker B:Right.
Speaker A:Before and after.
Speaker B:But it's all legal.
Speaker B:It's all above grade.
Speaker A:Take this picture.
Speaker A:Gwyneth Paltrow.
Speaker A:Make a fat.
Speaker A:So you're gonna be the before and after photo done.
Speaker A:Right.
Speaker A:We just split $40 million, right?
Speaker A:Next year, 1.8 million or 1.8 billion.
Speaker A:Run rate, Right?
Speaker A:Let's just say we.
Speaker A:Let's just throw out a hypothetical random act.
Speaker A:Let's just say we make 100 million.
Speaker A:Yeah.
Speaker A:Now, in two years, we just made $70 million each.
Speaker A:Do I give a.
Speaker A:If this gets taken down?
Speaker B:No, it's over.
Speaker A:Yeah, I got it.
Speaker B:Yeah, I've already collected it.
Speaker A:You want to sue me for 10?
Speaker A:Fine, I'll pay 10.
Speaker A:Here's the thing.
Speaker A:You can't sue me for a whole lot of money because guess what?
Speaker A:We know the drugs work.
Speaker A:Right?
Speaker A:And we know you buy the product and got the product.
Speaker A:So what are you going to sue me for?
Speaker B:Hold on.
Speaker B:The customers could have canceled at any time.
Speaker B:Clearly they didn't.
Speaker B:It's been working for them.
Speaker B:They're happy.
Speaker B:Yeah.
Speaker B:Yeah.
Speaker A:It's wild, right?
Speaker A:So the company is now on track for 1.8 billion in annual sales.
Speaker A: Again, this top line in: Speaker A:For comparison, Hims and Hers reported 2.4 billion in revenue last year with 2,442 employees in the 5.5% margin.
Speaker A:Gallagher is running nearly three times the margin with the headcount of two.
Speaker A:Gallagher is the CEO's last name.
Speaker A:Go down.
Speaker B:So what do you think?
Speaker B:Who do you think pimps out this article more?
Speaker B:Is this more for medvi, or is Hims and Hers really pushing this article to be like, this is why you need to be coming to us.
Speaker A:Down, down, farther.
Speaker A:A little bit down.
Speaker A:Go to the top of this.
Speaker A:Right there.
Speaker A:Perfect.
Speaker A:Yeah.
Speaker A:Gallagher built all of it with AI.
Speaker A:He used Chat, GPT, Claude and Grok, which was actually the surprising element there.
Speaker A:I didn't think Grock was gonna be in this to write the code powering the platform mid journey and Runway to generate the creative.
Speaker A:And 11 labs supplied the voice tools for customer communication.
Speaker A:I've used this before.
Speaker A:Google has a new version that just came out.
Speaker A:Yeah, that's.
Speaker A:There's a turbo version and there's also a new voice version.
Speaker A:The two of them can bet together, make 11 labs look slow.
Speaker A:They can react in real call centers are dead now.
Speaker A:Like, just dead, right?
Speaker A:So that's the stack they're using.
Speaker A:So now you know their AI stack, you know, the two companies they had behind them.
Speaker A:You could literally build this, this business tomorrow if you just knew how to do this, right?
Speaker B:So I was talking, I. I was talking to our friends over at Fridays early on when they were really building it out, right?
Speaker B:And they.
Speaker B:One thing that they really got hung up on is they spent a.
Speaker B:A lot of time and money into building out their website.
Speaker B:So I don't know how these two were able to do it just using AI because there's so much intricate detail and so much, I guess, security that went in.
Speaker B:And there's so many layers to these kind of websites that keep track of your orders and being able to communicate with active customer service.
Speaker B:Right.
Speaker B:It's like, it's very.
Speaker B:It's more complex than just being able to.
Speaker A:Let me tell you.
Speaker B:I don't think that anybody could do this.
Speaker B:I. I'm gonna make that very clear.
Speaker A:I think I can do it.
Speaker A:No.
Speaker B:Yeah, yeah.
Speaker B:I mean, I think that it would take.
Speaker B:It takes a lot of time and a.
Speaker A:No, it doesn't.
Speaker A:Let me.
Speaker A:Let me explain to you, okay?
Speaker A:Real simple.
Speaker A:Real simple comes up.
Speaker A:Okay?
Speaker A:Week one, everybody starts with an LLM.
Speaker A:They go, oh, this is cool.
Speaker A:But you use it like a search engine, right?
Speaker A:Week two, you go, this can do.
Speaker B:A lot yeah, how do I push the limits here?
Speaker A:Let me see if I can do more.
Speaker A:And then now, because there's Claude code and everything else, right, you start playing with agentic AI features you don't even know because if you have.
Speaker A:Because you go from like the regular plan to the more expensive Claude plan.
Speaker A:Right?
Speaker A:And then you get the hit of dopamine along the way.
Speaker A:Yeah, we're going to find out coming up real soon that AI and its use is addictive.
Speaker B:See, I. I think I saw an article recently that said a lot of people using cloud recently are, I guess, hitting their thresholds on their tokens.
Speaker A:Oh, yeah, me too.
Speaker A:I'm on the 200amonth plan now.
Speaker B:So is that like strategic?
Speaker B:Is it?
Speaker B:Or is it like, are you, are you finding yourself needing to spend more to accomplish what you wanted?
Speaker A:You.
Speaker A:Yo, you guys hit me another beverage because this is going to be a long conversation.
Speaker A:Yeah, this is a good see for me, bro.
Speaker B:Yeah, I don't, I don't, I don't think that.
Speaker B:Yeah, I don't think many people understand like the whole token function of like, of Claude or some of these platforms maybe help them understand that first.
Speaker A:So let's be clear about a couple parts of this, right?
Speaker A:Most people started off how they make their money.
Speaker A:Yeah, most people look at you mid show beverage.
Speaker B:Appreciate you.
Speaker A:Thank you.
Speaker A:My guy, Andy.
Speaker A:Shame on you.
Speaker A:We don't have any more first form.
Speaker B:Yeah.
Speaker B:Come on.
Speaker A:Thank you, Raja.
Speaker A:I appreciate same address.
Speaker A:Yeah.
Speaker A:Huh.
Speaker A:It's the same as you know where to find us.
Speaker A:He really doesn't know.
Speaker A:He passed that on the assistant ever look back at it again?
Speaker A:All right, so look, mostly we'll start off with Chat GPT.
Speaker A:Chat GBT has a pretty relatively low cost feature, right?
Speaker A:Yeah, 20 bucks a month, you use it.
Speaker A:That's where I started off.
Speaker A:I spent a year there almost.
Speaker A:Right.
Speaker A:I mean, I was there for a long time.
Speaker A:I went to Claude when I realized that chat GPT's coding mechanisms last much to be desired.
Speaker A:I was failing miserably when I was doing the show stuff for the live show and the stream decks and all that stuff.
Speaker A:Okay, move to Claude.
Speaker A:Claude has a paid feature and I kept hitting that God damn limit and it shuts you down for the, like the rest of the day until you hit like several hours later.
Speaker B:So do you have to be very strategic with what you ask it?
Speaker B:Because every time you ask it, it's using tokens.
Speaker B:Is that what's going on?
Speaker A:You can.
Speaker A:So there's a couple of components that go into it.
Speaker A:So like Claude, for example, has their Haiku model, has sonnet, has Opus.
Speaker A:Right.
Speaker A:Haiku is the least complex.
Speaker A:Opus is the most complex.
Speaker A:Sonnets what you use when you log in.
Speaker A:Yeah.
Speaker A:Right.
Speaker A:So the higher thinking model is Opus.
Speaker A:I use Opus for everything now because I'm on the higher paid plan, but I use.
Speaker A:You have to use the models strategically.
Speaker A:This becomes more important for most people.
Speaker A:So ChatGPT selects which model is best based on what you're asking it, so it kind of knows which one to use.
Speaker A:But ChatGPT also doesn't just shut you down.
Speaker A:Shut you down.
Speaker A:They just kind of like slow you up a little bit.
Speaker A:Okay.
Speaker A:You kind of hit like these buffer limits, whereas Claude will basically just say, hey, come back in eight hours.
Speaker A:It sucks, bro.
Speaker A:When you're, when you're knee deep in coding and you're like, you're vibing and you're vibing and you're like, you're into something and it's like, come back at eight hours.
Speaker A:You're like, what?
Speaker B:No, no, I'm trying to do this now.
Speaker A:This hand job was supposed to lead to something.
Speaker A:What are you doing?
Speaker A:No, what do you mean?
Speaker A:Come back eight hours, dog.
Speaker A:I got hobbies.
Speaker B:Mid rub tug.
Speaker A:Yeah, you can't, you can't look at it now.
Speaker B:Oh, yeah, you can't give me the rub without the tug.
Speaker A:What's up, dude?
Speaker A:It was so frustrating.
Speaker A:There'd be moments where I'd be going back and forth because what inevitably ones are having multiple.
Speaker A:You got.
Speaker A:You get into some task and you're deep into it, right?
Speaker A:You're going back and forth with.
Speaker A:With Claude.
Speaker A:And then you hit that limit and you're like, yeah.
Speaker A:And there's nothing you can do.
Speaker A:No, you can.
Speaker A:You just got to pay more.
Speaker A:You can pay more tokens in the moment, like $5 and you.
Speaker A:But you're hitting a limit and a limit and a limit.
Speaker A:So most of it eventually go to the 200amonth plan because otherwise you.
Speaker A:You're spending the same amount of money, if not more.
Speaker A:Right?
Speaker A:And there's, there's a couple of plans you can go on, but there's also terminal, which is like your DOS prompt, which most people use CLAUDE code in.
Speaker A:Okay.
Speaker A:And now you can use Claude code, which is basically Claude in the terminal.
Speaker A:It looks like DOS prompt, but it's actually working on your system and knows what's going on.
Speaker A:So it's unlike using a URL, like a web browser, where it's guessing what's happening.
Speaker A:Claud code in the terminal is actually looking at your files going, okay, this is what I'm going to do to make it work.
Speaker B:Okay.
Speaker A:Okay.
Speaker A:Right.
Speaker A:So there's benefits to having one or both of them.
Speaker A:Right.
Speaker A:But now you got this agentic AI which is rolled out and now you can plug in features where Claude already automatically does this at the website where it remembers certain things about you.
Speaker A:It has a persistent memory function now which makes it super convenient because you don't have to go back and go, my name's Saeed, I just left my job.
Speaker A:I don't like my podcast that I'm on.
Speaker A:You know, it knows that it goes, hey, Saeed, what's up?
Speaker A:How's your co host?
Speaker A:What's up?
Speaker A:You know, like the whole thing.
Speaker A:Right, right, right.
Speaker A:So.
Speaker A:But it's not like as good as agentic AI long term.
Speaker A:So these API calls and fees can add up.
Speaker A:Yep.
Speaker A:And it can be very costly.
Speaker A:So.
Speaker A:But nonetheless, when you look at stuff like this, 11 labs, you look at Mid Journey, you look at Runway.
Speaker A:All products that are readily available.
Speaker A:Let me be very clear about how this works.
Speaker A:Right.
Speaker A:You go to Mid Journey to create images.
Speaker A:That's what it's for.
Speaker A:That's the highest and best use.
Speaker A:So I don't have to guess what they use this for now.
Speaker A:Chat GPT, Claude and Grok, they, they picked the three models that work for them.
Speaker A:But I'm sure you could do this with all Claude if you really wanted to.
Speaker A:I'm sure one of them is better than the other one at certain things.
Speaker A:And they just figured out what worked better for them to get results they needed.
Speaker B:Yeah.
Speaker A:And it's trial and error.
Speaker A:But anybody who's gone in, here's the problem, Right.
Speaker A:You get in the, you get in the agentic AI and it can start off with Perplexity Computer, it can start off with Claude and you tap and whatever.
Speaker A:All good.
Speaker A:It becomes addictive because you do realize you can literally build anything.
Speaker A:Yeah, right.
Speaker A:We talked about that on the previous show.
Speaker A:So because of that, you get people who can do this that literally didn't even think they could do it.
Speaker A:A couple of years, I guarantee.
Speaker A:This Gallagher dude did not think he could do this a year ago.
Speaker B:Yeah.
Speaker A:But then he saw what he could do and it just kept going and going and going and he didn't want to slow down.
Speaker A:Let's be honest.
Speaker A:I can go right now to my computer and make a before and after photo of somebody.
Speaker A:I know the product works.
Speaker A:I'm not justifying what he did.
Speaker A:But otherwise I gotta Arrange a photo shoot.
Speaker A:I gotta get real people there.
Speaker A:I gotta wait for a photographer.
Speaker B:Right?
Speaker A:I mean, think about the time investment.
Speaker B:Oh, I mean, yeah, especially, especially for a product like this.
Speaker B:Okay, you know, there's testing.
Speaker B:You gotta give them.
Speaker B:And then three months, six months down the road, take another photo.
Speaker B:Right?
Speaker B:It's too much time.
Speaker B:He's trying to.
Speaker B:Yeah, he's trying to make his $40 million.
Speaker A:That's right.
Speaker A:So then you want to, you want to get doctors on your network.
Speaker A:You want to have them advertised for you.
Speaker A:You're a startup company, you don't have a lot of capital, number one.
Speaker A:Number two, you don't have a big doctor network and you're not a big company.
Speaker A:So you literally just create doctors that are running your ads for you.
Speaker A:Those made up doctors you can make up instantaneously and you can run ads overnight.
Speaker B:Yeah, but see, this is where it starts.
Speaker A:That's where I'm not co signing.
Speaker B:No, we're not co signing it.
Speaker A:But this is speed.
Speaker B:But this is.
Speaker B:But yeah, speed was.
Speaker B:But this is where the, the, the thought comes out of, like, this is beyond shady.
Speaker B:This feels illegal.
Speaker A:Right, but again, so like, let's use a, use a completely random example.
Speaker A:Ebikes, okay?
Speaker A:Ebikes are motorcycles, okay?
Speaker A:I don't care what anybody says.
Speaker A:Those are motorcycles.
Speaker B:I hate, I become the old guy that hates these kids on, on the road.
Speaker B:Come on.
Speaker A:First of all, why does every kid on an ebike have to do wheelie Stop.
Speaker A:Yeah, stop, bro.
Speaker B:Every time they do, like, don't make me have to be the guy that calls 911 to get you out of here.
Speaker A:You doing a wheelie in the middle of the street.
Speaker A:You think you're cool?
Speaker A:Here's what you are.
Speaker A:You're stupid.
Speaker B:You're so dumb.
Speaker A:Dumb.
Speaker A:And this is not a helmet thing.
Speaker A:This is like being a jackass thing.
Speaker A:Yeah, right, like, but again, why don't we have laws for ebikes to treat them like motorcycles?
Speaker A:Right?
Speaker A:I understand that the kids riding them, we should have some type of gray area.
Speaker A:But should you be allowed to ride your e bike on the, on the park grass?
Speaker A:No, you couldn't ride a motorcycle in the park grass.
Speaker A:Why should you allow to ride ebike?
Speaker A:Right?
Speaker B:Right.
Speaker A:You should be able to ride your e bike in a bike lane, right?
Speaker A:Yes, you should be able to ride your e bike, you know, maybe on the sidewalk, maybe not, depending on how traffic the sidewalk is.
Speaker A:But there should be rules and regulation.
Speaker A:But we haven't caught up yet for that.
Speaker A:Right?
Speaker A:AI Is no different.
Speaker A:We haven't caught up.
Speaker A:Like, we know execution is so crazy now.
Speaker A:We haven't caught.
Speaker A:I mean, I think some of the stuff they did here is illegal, frankly, from a legal perspective.
Speaker A:I think some of it's illegal.
Speaker A:Like the doctor shit is just left.
Speaker B:Right.
Speaker A:But when you make as much money as they're making.
Speaker A:Let me ask you a question.
Speaker A:It's not go to jail illegal, it's get fined illegal.
Speaker A:At some point in time, you look across table at your brother and you go, hey, dog.
Speaker B:It's like a lot of these, we.
Speaker A:Make it 40 million this year.
Speaker A:It's like, I think we can handle a lawsuit.
Speaker B:I saw this piece on HBO back in the day on some of these, like cruise lines and some of the dumping they do in the ocean.
Speaker A:Yeah.
Speaker B:And they, and they already know they're going to get fined a certain dollar amount.
Speaker B:And to them they just essentially added in as an operating cost.
Speaker B:Like, yeah, we're going to get, we're going to get fined a couple million dollars for this, but we're going to make this much more.
Speaker B:Let's just do it and we'll just dump it.
Speaker B:Who cares?
Speaker A:Oh yeah, a lot of these companies do that.
Speaker A:Like Google, they get fined for like not paying taxes.
Speaker A:Like, okay, yeah.
Speaker B:Jeff Bezos with his like 14 foot hedge.
Speaker A:His hedges.
Speaker A:Yeah, his hedges in LA, he's fined every single day for those hedges.
Speaker A:But you'd rather have the hedges.
Speaker B:It's like a thousand bucks a day.
Speaker A:Yeah.
Speaker A:He's like, kick rocks, find me.
Speaker A:I'm Jen Bezel.
Speaker B:Yeah.
Speaker B:That's pretty gangster though.
Speaker A:Yeah.
Speaker A:He don't care.
Speaker B:I would do that too.
Speaker A:Yeah.
Speaker A:Let me just write you a check for the year.
Speaker A:There you go.
Speaker A:Right.
Speaker A:You know, I mean, campaign advance.
Speaker A:Those fines aren't fines to him.
Speaker A:Right.
Speaker A:You know what I mean?
Speaker A:So like, if it's not punitive, then it's not going to work.
Speaker B:Yeah.
Speaker A:So to these guys, they're making $40 million.
Speaker A:Your fines on false advertising probably aren't like painful enough for them.
Speaker B:Exactly.
Speaker A:Right.
Speaker A:Not to mention the fact that they're going to be able to afford a better attorney than you.
Speaker B:That's the problem.
Speaker B:Yeah, that's the problem.
Speaker B:It's like what we're doing is not illegal.
Speaker A:Right.
Speaker B:But I'll get, I'll get fined for it.
Speaker A:Yeah, that's the area.
Speaker B:That's the gray area.
Speaker A:Scroll down a little more here.
Speaker A:All right, we got here.
Speaker A:So Jitin Chambra of Care Validate told the Times the pace was disorienting.
Speaker A:You're like, do you have an army of people behind you?
Speaker A:And he's like, nope.
Speaker A:Dr. John Leasing, CEO of Open Loop, noted that Gallagher, the CEO, had been sharing AI workflow tips back to his own infrastructure vendor.
Speaker A:Scroll down the VC angle.
Speaker A:Medv has raised no outside capital.
Speaker A:Right.
Speaker A:Gallagher consulted Kobe Fuller, a general partner at Upfront Ventures, who advised him not to raise if he did not need the money, which was actually good advice.
Speaker A:Fuller told the Times he sees Gallagher as an early data point, not a one off.
Speaker A:Basically saying that more of these types of companies are going to come into creation.
Speaker A:They are gonna.
Speaker A:They are gonna be around, right.
Speaker B:At the end of the day, it's whoever has enough money behind them to dump into marketing and just get in front of as many eyeballs as possible.
Speaker B:It's not even them, but they started.
Speaker A:Off with 20 grand.
Speaker B:How is that possible?
Speaker A:I can explain to you, but let me go on this.
Speaker A:These folks that have those skills, it's kind of their superpower.
Speaker A:This is an extreme example, but I don't think it's going to be the last by any stretch.
Speaker A:Kick, pause.
Speaker A:Right.
Speaker A:He's mischaracterizing this because he doesn't have.
Speaker A:He hasn't spent time with AI.
Speaker A:I know that we talk a lot about it.
Speaker A:The show is labeled on place like Spotify as business and technology, which is so weird to me.
Speaker A:Yeah.
Speaker A:I think it's because my fat mouth talked about AI a lot.
Speaker A:It's my bad.
Speaker B:No, it's a good thing.
Speaker B:Hold on.
Speaker B:Certain companies are getting bought off for $100 million because that segue.
Speaker A:You want to go there now?
Speaker A:I can go on this one all day long.
Speaker A:This company is really interesting.
Speaker A:So basically, oh, God.
Speaker A:People are trying to say, hey, these guys have the superpower of this technology.
Speaker A:No, they just.
Speaker A:AI has not been around long enough for anybody to be an expert.
Speaker A:Other than the fact that people have been spending more time in it than you have.
Speaker A:Okay.
Speaker A:People don't have, like years of experience, unless you're a mathematician or you're a quant and you work for Google or anthropic.
Speaker A:Okay.
Speaker A:Everybody else, just a casual user like myself who's just gotten into it.
Speaker A:And before the show, I showed Saeed our Black Crown Alpha.
Speaker A:I showed him some of the stuff that I'm building Programmatic in regill too.
Speaker B:Right.
Speaker A:And I don't have any skills, and I was able to build that.
Speaker A:Right.
Speaker B:So for the listeners, too, I wanted to let everybody know that your boy here is going to be taking the anthropic courses and I'll be happy to report back to see, you know, how, how well they are and we can actually talk about them either on the show or maybe I could start joining the lives.
Speaker A:So I watched one the other night.
Speaker A:It was one of the first ones.
Speaker A:It was interesting.
Speaker A:More LLM usage and prompting.
Speaker A:But I think some of the latter ones are going to be really valuable because they talk the later like two, last two or three.
Speaker B:Yeah.
Speaker A:About agentic AI and about some of the kind of the bigger, more complex users.
Speaker B:Yeah.
Speaker A:I think that's really where as you're using this stuff.
Speaker A:To me it's.
Speaker A:The LLMs are great.
Speaker A:The good.
Speaker A:It's a little sycophantic in ways where you talk to it.
Speaker A:It gives you response that you want.
Speaker A:But agentic AI is, is where this goes.
Speaker A:Like you need to get comfortable with having your own agentic AI as a personal assistant.
Speaker B:So then what do you say?
Speaker B:If you're saying that this is where, this is where this goes and this is where you need to get comfortable, what do you say to the person and the people out there that are saying that this is looking more and more like potentially what NFTs were?
Speaker A:I saw it today.
Speaker B:Yeah.
Speaker A:Who said that today?
Speaker A:That we both saw.
Speaker A:Was it somebody, Somebody notable said that today?
Speaker B:Yeah, yeah.
Speaker A:Oh, it was Adam.
Speaker B:Yeah.
Speaker A:Mind pump.
Speaker B:Yeah.
Speaker B:I don't, I don't want to say it on the show, but it'd be.
Speaker A:No, no, it was just fine.
Speaker A:I was talking Adam.
Speaker B:He's feeling like it's starting to go more and more down that way.
Speaker A:I think that's, that's a valid worry.
Speaker A:I mean, I would say NFTs are probably a little bit nuttier of an idea.
Speaker A:I think there's probably a little bit more, more meat in the bone with AI, but I, because I'm a heavier user than most, I can tell you that it has enabled me to do things that I have no right in any world to be able to do.
Speaker A:Like it's disgusting.
Speaker A:Full trading algorithms, looking and summarizing 16 of the most prominent hedge fund models in the country, putting everything together.
Speaker A:Whether I'm going to find alpha or not, it works.
Speaker A:You know, who knows?
Speaker A:That's on me though.
Speaker A:But I have been able to code and build things, remove if this works or not.
Speaker A:I have been able to build websites, I've been able to get better Google Analytics, I'm be able to get.
Speaker A:I'm able to get better oversight and management of my time.
Speaker A:And here's the big disconnect that I was massively wrong about in the beginning.
Speaker A:I thought I deploy agentic AI Chris gets more time because it's going to handle everything.
Speaker A:Right.
Speaker A:Now when I post the platforms, it used to be I have to go to listen to this.
Speaker B:That's the sell, right?
Speaker A:That's the sell.
Speaker B:That's the sell to everything.
Speaker A:It's the wrong thing.
Speaker A:I used to be able to.
Speaker A:I was using this.
Speaker A:This one example is great example of this.
Speaker A:Right.
Speaker A:I used to post to Instagram Mark the higher standards of collaborator TikTok, YouTube personal channel.
Speaker A:YouTube, higher standard channel.
Speaker A:LinkedIn X and threads.
Speaker A:Yes.
Speaker A:Right.
Speaker B:Seven different platforms.
Speaker A:Seven different platforms.
Speaker A:Now I send my AI a message saying, hey, post this to x threads in LinkedIn with this image and it posts it.
Speaker A:Yeah.
Speaker A:And then if I want to post a carousel, I say it posts all platforms and it pulls it from a folder so it doesn't degrade the quality that text messaging normally degrades a little bit.
Speaker B:Yeah.
Speaker A:And it uploads directly from the drive, so you get the same quality that goes out.
Speaker A:And then it does all that for me and I just go in and make sure everything works right.
Speaker A:That saves me in and of itself, just the posting.
Speaker A:It saves me probably an hour a day.
Speaker A:Wow.
Speaker A:Right.
Speaker A:For just one post.
Speaker A:Right, Right.
Speaker B:Yeah.
Speaker B:Because sometimes there's like multiple posts a day.
Speaker A:Right.
Speaker A:But when you post like carousel the seven platforms, it can be time consuming.
Speaker B:Yeah.
Speaker A:And then the platforms intentionally make you wait to upload it because they want to keep you in the locks in their ecosystem, even though they could totally operate and do that when you're not there.
Speaker A:But it's just.
Speaker A:So I got access to do all that.
Speaker A:And that's how I push it all through my.
Speaker A:I save an hour a day.
Speaker A:Do you think I'm gaining that time back to do something else?
Speaker B:No, you're finding ways to become more efficient, to do more.
Speaker A:Right.
Speaker A:So instead of doing less work, I've just increased my output.
Speaker A:I still work the same month.
Speaker A:I actually work more hours now than before.
Speaker A:Wow.
Speaker A:But the output is just wider.
Speaker A:Right.
Speaker A:And the reason why is you get hooked on this like I can.
Speaker B:It's out of excitement, though.
Speaker B:It's not out of that.
Speaker B:Not out of necessity.
Speaker A:It is.
Speaker A:But that's.
Speaker A:That's the dopamine.
Speaker A:That's the addictiveness about this.
Speaker A:Wow.
Speaker A:And I find this addictiveness much better than social media addictiveness.
Speaker A:Right.
Speaker B:But I think that's also because you're entrepreneurial.
Speaker B:That's not because you think eating anybody would do this, everybody.
Speaker A:Let's say you're in anime, okay?
Speaker A:You could build an entire anime movie on your own if you wanted to.
Speaker A:If you were so inclined, you could do it.
Speaker A:Let's say you liked anime and you wanted to build a social network for anime.
Speaker A:You could literally build that by prompting vibe coding in regular English.
Speaker A:And then you're saying, I don't like where this looks.
Speaker A:Move this here, move that there.
Speaker A:You could.
Speaker A:I don't know anything about databases.
Speaker A:I've got Amazon S3.
Speaker A:I've got all this, like, email structure in the background.
Speaker A:Simple email services, ses, like, stuff I have no business knowing about.
Speaker A:Right.
Speaker A:Fully operational and functional because AI helped me do it.
Speaker A:It's nuts.
Speaker B:Yeah, that's girthy.
Speaker A:Yeah.
Speaker A:Girth master.
Speaker A:You can call me the AI master.
Speaker A:It's as big as a wine bottle.
Speaker A:Boys call me Girth Brooks Girthy.
Speaker B:Yeah.
Speaker A:Yeah.
Speaker A:Okay, so the second thing I want to talk about.
Speaker A:Oh, actually, look, so it goes in this.
Speaker A:No VC money.
Speaker A:There's a whole legal basis for compounded GLP1s.
Speaker A:It's independent of him.
Speaker B:And they're still operating.
Speaker A:They're still operating.
Speaker A:This.
Speaker A:This went out.
Speaker A:And what's interesting to me was, I don't know why this went out.
Speaker A:Obviously, Sam Altman had made this prediction.
Speaker A:This was the first company which seemingly is a billion dollar company with, you know, one employee, two employees.
Speaker A:Right, right.
Speaker A:And I don't think this is going to be the last.
Speaker A:I think this is controversial because of the industry that he's in, but it makes total sense that this is the one.
Speaker A:It's.
Speaker A:It's really hot right now.
Speaker A:He's branched out, actually.
Speaker A:He does like hair products.
Speaker A:He does like peptides and stuff now.
Speaker A:So I mean, he's.
Speaker A:They've branched out and I don't see this going anywhere.
Speaker A:And if he can survive the legal challenges here, you're now making a 16% return where everybody else is making a 5.5% return.
Speaker A:That in and of itself.
Speaker B:Yeah.
Speaker A:Why would you're hims.
Speaker B:Why wouldn't you do this for another industry?
Speaker A:If these guys don't get shut down?
Speaker A:Yeah.
Speaker A:If you're hims, this is.
Speaker A:This is why you pivot to AI.
Speaker A:5.5% Profits or over three times as many profits.
Speaker B:Right.
Speaker A:Like that.
Speaker B: That's the: Speaker A:And that's where I go, is this NFTs?
Speaker A:No, I don't.
Speaker A:I don't think so.
Speaker A:I think this is.
Speaker A: employees down to: Speaker A:Right.
Speaker A:And let's just say you increase profits to 8%.
Speaker A:That's meaningful at billions of dollars of revenue.
Speaker B:And.
Speaker B:Hold on.
Speaker B:And because they're publicly traded and they're, they have a fiduciary responsibility to the shareholders to at least explore and go down this option.
Speaker A:Right.
Speaker B:Their board is going to be required, I mean, looked at at some point to be like, you guys need to at least have a discussion about this.
Speaker A:If they survive these legal challenges and if they continue to grow, the other thing you do is you offer to buy them.
Speaker B:Yeah.
Speaker B:Because then otherwise.
Speaker B:Right, and otherwise, why isn't hims and hers doing everything in their power to get these guys shut down?
Speaker B:Maybe they want something like this so that they could justify doing the same.
Speaker A:So yeah, if you scroll down here, they talk a little about the HIPAA breach.
Speaker A:To me, that's a distraction.
Speaker A:It wasn't them that did that.
Speaker A:That was kind of the anecdote of what's going on by the third party provider.
Speaker A:I keep scrolling down, Jill.
Speaker A:The.
Speaker A:The compliance record the Times didn't cover.
Speaker A:So with the Times profile omitted, MEDV was already on the FDA's radar before the story ran.
Speaker A: ,: Speaker A: On December: Speaker A:MEDV's website displayed product labels bearing MEDV name, implying the company was the compounder of its drugs.
Speaker A:When it was not.
Speaker A:The site carried claims including some active ingredients as same active ingredients as we go VI and Ozempic and same active ingredients as Manjaro and Zeppbound.
Speaker A:Language the FDA ruled misleading because it implied FDA approval that compounded products do not have.
Speaker A:The letter warned that failure to address the violations could result in seizure of everything or injunction without further notice.
Speaker B:So of everything that they saw on the website, that was.
Speaker B:That was the biggest problem and concern.
Speaker B:Yeah.
Speaker A:Yeah.
Speaker B:So nothing else was a problem.
Speaker A: ,: Speaker A:When.
Speaker A:When venture investor Shield Minot Monot Monot posted X that Facebook ads library showed hundreds of ads of medv running under accounts impersonating doctors.
Speaker A:And to me, that's the biggest problem.
Speaker A:The moat problem is the interesting part of this.
Speaker A:Let's go down here a little bit.
Speaker A:So the moat here in business refers to how hard it is for somebody to recreate what you've done.
Speaker B:Okay.
Speaker A:The bigger the moat, the harder it is to do.
Speaker B:Yes.
Speaker A:Right.
Speaker A:So Gallagher has acknowledged the structural vulnerability.
Speaker A:Medv holds no proprietary technology, no licensed physician network that we talked about, no pharmaceutical infrastructure, and no exclusive supplier relationships.
Speaker A:Any operator with marketing, fluency and Care Validate or Open Loop account can replicate the model.
Speaker A:The defensible layer, to the extent that one exists, is execution velocity in brand.
Speaker A:Gallagher told the Times Envy now generates more than $3 million per day in less than two years.
Speaker A:Okay.
Speaker A:He has reinvested profits into expansion rather than defense defensibility.
Speaker A: s health launched in February: Speaker A:Meal delivery launched in March.
Speaker A:Women's Health, hair growth, and skin care are cued.
Speaker A:The the unit economics remain favorable as long as customer acquisition stays disciplined.
Speaker A:Platform fees to Care Validate and Open Loop likely represent the largest cost line.
Speaker A:Marketing and software account for most of the remainder.
Speaker A:Against 250,000 customers, that points to a high but not unusual customer acquisition cost for a subscription health business.
Speaker A:Near zero overhead.
Speaker B:That's wild.
Speaker A:Wow.
Speaker B:See, I mean, and like, so this is completely unlike Fridays, that does have a physician network and does have a dietitian network.
Speaker B:Right.
Speaker B:Where they can.
Speaker B:People can call in that and it's like, oh, yeah, Same day.
Speaker B:Same day.
Speaker B:Right.
Speaker B:Within, like, same 10 minutes.
Speaker B:If.
Speaker B:If it's available, which it usually is.
Speaker B:So what.
Speaker B:What you would think, like, if.
Speaker B:Yeah, If.
Speaker B:If I'm going to be ordering a compound like this from a company, that's what I would want.
Speaker B:That's.
Speaker B:That's the expectation level that I would have.
Speaker A:So AI came out about a year, year and a half ago.
Speaker A:Yeah.
Speaker A:And it really started getting good about a year ago.
Speaker A:Right.
Speaker A:These guys in that time, they were first to move, first to act, and they made.
Speaker A:Let's.
Speaker A:Let's just call it 20 million.
Speaker A:Let's say just take the 40 million and just say you reinvested 20.
Speaker A:I don't think they did, but let's just say they did.
Speaker A:Okay.
Speaker A:Let's say you made 20 million.
Speaker A:I'm good with 10 each, dog.
Speaker A:You good?
Speaker B:I'm good.
Speaker B:I'm going fractions, bro.
Speaker B:Yeah.
Speaker A:You know, and let's just say next year they do.
Speaker A:They do 50 million instead.
Speaker A:I'm good with 20 million each, bro.
Speaker A:Like, if we never hit another successful business as long as we live smart, like, we're good.
Speaker B:We hit it.
Speaker A:Yeah.
Speaker A:Yeah.
Speaker B:Live off the dividends, bro.
Speaker A:What did you guys do?
Speaker A:We ran a company, you know, new technology.
Speaker A:They found it to be illegal.
Speaker A:So we shut it down.
Speaker A:You make money.
Speaker A:Yeah.
Speaker A:30 Million, you know, Exactly.
Speaker A:Whoopsies.
Speaker A:You know, it's not a bad day.
Speaker B:It's not.
Speaker B:It's not a bad day.
Speaker A:This is the power of the shit that this is.
Speaker A:This is, this is like what I keep telling people about why this makes sense and why, like I understand people are gonna lose jobs.
Speaker A:I get that.
Speaker A:I'm not, I'm not criticizing, but these guys didn't cost anybody jobs.
Speaker B:Yeah.
Speaker A:These guys built something that, that they were going to build anyway.
Speaker A:Right.
Speaker A:And they just didn't hire people to do it because they were able to run with him and his brother.
Speaker B:Yeah.
Speaker B:I think eventually what happens here is that the cost of being able to, to create stuff like this is just going to become more and more expensive just to keep people out.
Speaker A:What do you mean API costs are going to go down?
Speaker A:Yeah.
Speaker B:You don't think.
Speaker B:Okay, because, you know, I had, I had prepared for a different show too at some point.
Speaker B:Maybe this will be later.
Speaker B:Later in the show or later in the week.
Speaker B:Just there are signs of concern in the AI sector and data centers.
Speaker A:Right?
Speaker A:Yeah.
Speaker B: f US data centers planned for: Speaker A:Yeah, that's right.
Speaker A:Right.
Speaker B:So doesn't that and what the whole basis of, of all this is.
Speaker B:AI needs cheap power.
Speaker B:That's right, they need cheap.
Speaker A:So, but if, well, no, so here's there's an alternative and Google, Google just proved this.
Speaker B:Okay, what's the alternative?
Speaker A:Just came out from Google.
Speaker A:So instead of being, making AI cheaper because the power got cheaper, mathematicians, a bunch of nerds got together and they're like, okay, we can make AI better by improving the algorithm that AI runs on.
Speaker A:So it takes less power.
Speaker B:So it takes.
Speaker B:But that's, that's for their models, right?
Speaker B:Because they're running off their, their.
Speaker A:No, Turboquan is open source.
Speaker A:Is it?
Speaker A:Yeah.
Speaker A:So you can actually, you can actually speed up the efficiency of an AI model now.
Speaker A:And so here's the, here's the beauty of so much of the AI like world right now is that a lot of it's open source, so you can pull in different aspects of it from different providers.
Speaker A:So for example, my agent AI uses haiku for basic tasks, which is the lowest cost model.
Speaker A:It runs Ollama locally for simple tasks that cost me nothing in API calls.
Speaker A:It runs Sonnet for most activities and when it needs something complex, it'll pull up to Opus.
Speaker A:But it also uses Gemini, it also uses Grok.
Speaker A:It also uses a bunch of different elements because some of those are just better and more efficient from a cost perspective.
Speaker A:Okay, so to give you an idea of how cheap this relatively is to run, I think I talked about this earlier.
Speaker A:To run a machine learning model on a rented GPU in the cloud for our product.
Speaker A:Yes.
Speaker A:Running 16 different strategic.
Speaker A:Strategic algorithms in real time.
Speaker A:Trading of options and including full Greeks, Beta Theta Gamma.
Speaker B:Right.
Speaker A:You know all that stuff every day.
Speaker A:Every day, 20 to 25amonth.
Speaker B:Yeah.
Speaker A:That's okay.
Speaker A:You're not talking meaningful dollars.
Speaker A:Right.
Speaker A:Our real time feed for now.
Speaker B:But yeah.
Speaker A:Even if it goes up by, you know, 50%.
Speaker B:Yeah.
Speaker A:If you make a hundred dollars a month on this thing, you know, I mean.
Speaker B:No, no, yeah, it doesn't.
Speaker A:It does.
Speaker A:The math makes sense.
Speaker A:The API calls get expensive when you don't understand what you're doing.
Speaker A:And most people will get into this stuff and they'll just.
Speaker A:Once you get into agentic AI and you're using API tokens because when you're logged into just Claude, this is going to tell you when you're hitting your limits, you set the limits, it's going to tell you, you're going to know like, hey, your session's timed out, right?
Speaker A:And you go, ah, shit.
Speaker B:Right?
Speaker A:You know, but when you go into the agentic AI world, Perplexity Computer and like some of the fun.
Speaker A:So let me pause this here.
Speaker A:Let me back up a little bit.
Speaker A:Agentic AI is getting a lot of pushback from influencers, people on social media because Claude has rolled out a lot of features that if you use just Claude, the LLM Learning language model, it has memory now, it has a remote function where you can log in from your phone and it can work on your desktop while you're not there.
Speaker A:So if your desktop is always on, you can have a remote function of CLAUDE on your phone and your desktop running Claude on the terminal on the Internet, right?
Speaker A:And that effectively is agentic AI and it can plug into things like your Gmail and everything else.
Speaker A:So we're getting to the point now where you don't really need tokens, you just need to have an LLM.
Speaker A:And that's where this all goes anyway, is that Sooner or later OpenAI, who bought, who was the CEO of OpenClaw, the first agent AI which kicked this whole thing off, now works for OpenAI and Sam Altman.
Speaker A:Sooner or later they're going to come out with their own agentic AI product.
Speaker A:They sell as a product, right?
Speaker A:Claude is going to come up with an agentic AI that sell as a product or they're going to upgrade theirs to agentic AI.
Speaker A:And then everybody else who's got the Mac minis like we have, you have that because you have a firewall with something like HIPAA data on it.
Speaker A:Right.
Speaker A:Or you've got like legal client information on it.
Speaker A:You need a firewall or some type of controls to ensure that it's not out in the cloud.
Speaker A:And if it is out in the cloud, it's on like, you know, Amazon's S3 and it's got a full encryption.
Speaker B:Yeah, right.
Speaker A:But that, that world is where we're at.
Speaker A:Yeah.
Speaker A:So because of that, API calls are going to become less and less important.
Speaker A:Because think about NFTs.
Speaker A:When they came out, they were worth a lot of money because there was a lot of demand.
Speaker A:Well, at some point in time the value is going to go down.
Speaker A:API calls.
Speaker A:Okay, all right, Just food for thought.
Speaker A:I know the power is an interesting conversation and I know the geopolitical unrest right now, which I'm really trying to just stay away from because it's just been so volatile.
Speaker B:It's only going to make that cheap power actually go higher.
Speaker A:But I think a lot of the REITs, real estate investment trust, a lot of the major commercial real estate companies.
Speaker B:Yeah.
Speaker A:Are going to start investing in the data centers.
Speaker A:And I think that's, that's where you're going to see a lot of the building happen.
Speaker A:Okay.
Speaker A:That's just where the power, where the money's going to go.
Speaker A:And even if you don't believe in AI, this world just becomes more and more technologically sound.
Speaker B:Yeah.
Speaker A:Unfortunately, data center or not, we, every single one of us on our phone, I used to do this, right.
Speaker A:I would go to my phone and I would delete the photos that I don't like.
Speaker A:Right.
Speaker A:That aren't just like random photos, screenshots.
Speaker A:And then I would download the rest of them onto a hard drive and then I would delete all the photos off my phone and start again.
Speaker B:Yeah.
Speaker A:I've completely gotten away from that.
Speaker A:I've got a years now in the cloud of my photos.
Speaker B:Yeah, right, yeah.
Speaker A:And as you have kids and as you have family, like that, cloud consumption grows.
Speaker A:Right, Right.
Speaker A:And then Apple, you're in there, so you're like, fuck them.
Speaker A:I can't leave.
Speaker B:Yeah.
Speaker B:Everything's in the ecosystem.
Speaker A:Everything's in the ecosystem.
Speaker A:Everything's in the cloud.
Speaker A:But my data usage has only gotten bigger and bigger over time.
Speaker A:It's not gotten smaller.
Speaker A:And as your kids, like my son, they start playing Games and they start getting online, they start having profiles.
Speaker A:Your data is now going up by one other person or two people.
Speaker A:Right.
Speaker A:That is data center usage too.
Speaker A:It's not going down.
Speaker A:It's only going one way.
Speaker A:Yeah, yeah, yeah.
Speaker A:So AI is only one aspect of it and it's really power hungry right now.
Speaker A:But as the algorithms improve, as the technology improves, the cost to run those same models and to get more and more efficient, even at the same power sources.
Speaker A:So.
Speaker B:Well, you know who else is really power hungry?
Speaker A:Ah, here we go.
Speaker B:This topic number two.
Speaker A:You want to do it?
Speaker B:Let's do it.
Speaker A:All right.
Speaker B:We have to.
Speaker B:I mean, we're an hour in, but this is too good.
Speaker A:Yeah, too good.
Speaker A:So.
Speaker B:Pull them up.
Speaker A:No, no, no.
Speaker A:Yeah.
Speaker A:TBPN is a website.
Speaker A:The, the Technology Brothers Podcast network is what it was originally an acronym for.
Speaker A:So I saw these guys probably a year ago, maybe, maybe a little longer, and.
Speaker A:Oh, they redo the website.
Speaker A:Wow, that actually looks really good.
Speaker A:Good for them.
Speaker A:I saw these guys like a year ago and I, I thought a lot of what they did was cool.
Speaker A:I liked it.
Speaker A:Yeah.
Speaker B:I mean, we both liked it.
Speaker B:We both thought that, you know, we could do a live show just like.
Speaker A:Them and we do.
Speaker A:I would say that our show is very different than theirs, but there are certainly aspects of their show that I found to be very interesting.
Speaker A:But I did find the two of them to do a three hour show every single day.
Speaker A:Number one, massive respect for that amount of dedication.
Speaker A:It's not easy to do a three hour show every single day, five days a week.
Speaker B:Five days a week, Right.
Speaker A:That's hard to do.
Speaker A:Number two, they started getting some really popular guests on, even though their first shows seem to be like faux interviews of guests, kind of questionable.
Speaker A:But I have always found, and no respect to them.
Speaker A:I have always found their numbers to be bullshit.
Speaker A:And I'm not saying that in a hater way.
Speaker A:I'm saying that like in they have a huge Twitter X following.
Speaker A:But I know from first hand experience that the algorithm on YouTube does not reward.
Speaker A:This is why our live shows don't stay on.
Speaker A:On YouTube.
Speaker B:Yeah, we have to take them down.
Speaker A:Right.
Speaker A:It's actually punitive to your platform because people will tune in during the live show, but then after that the, the fall off because it's every single day the cadence of new listeners.
Speaker A:Just go to your new shows and go to your old shows.
Speaker A:Right.
Speaker A:So what happens is the algorithm gets very confused and it doesn't push your content.
Speaker A:The algorithm and they don't they haven't grown a whole lot, but they started doing some pretty sensational things.
Speaker B:Yeah.
Speaker B:Last year they, they made, I guess it was projected that they made like 5 million.
Speaker A:They said they made 5 million last year.
Speaker B:That was off of a Wall Street Journal article.
Speaker A:Right.
Speaker B:And these guys are new onto the scene.
Speaker B:This is not like something that they had built over a long period of time.
Speaker A:No.
Speaker A:So this, they're about a year and a half in.
Speaker A:Yeah.
Speaker A:They, they said in a recent interview they were going to do $30 million in ad revenue next year.
Speaker B:Yeah.
Speaker B:And they, they heavily focus on the tech space, the AI space.
Speaker B:Right.
Speaker A:They've had everybody from Palmer Lucky to Sam Altman to, I mean, you name it, they've had everybody on as of late.
Speaker A:And one of the things that really I thought was interesting is they, they go from 11am to 2pm Pacific Standard Time.
Speaker A:They're in Los Angeles, have a massive studio.
Speaker B:They've been on the floor of the New York Stock Exchange.
Speaker A:They have no, they go there monthly.
Speaker A:Yeah.
Speaker B:Oh, now they're there monthly.
Speaker A:They have a deal with the, the nyse and they literally go there.
Speaker A:I think it's in NYC or nasdaq, whatever.
Speaker A:They go there.
Speaker A:They go to the floor literally every month for like one week a month.
Speaker A:And they kind of do their thing there.
Speaker A:I've always had a theory about these boys that I hope they don't take offense to because you know what?
Speaker A:They just sold the company to open AI.
Speaker A:Open AI paid rumored to be over $100 million for them.
Speaker A:I am not hating on that.
Speaker A:Good for these.
Speaker A:Yeah, good for them.
Speaker A:Tons of respect.
Speaker A:I would love to have more insight into that conversation.
Speaker A:I would love to know the data and the economics because I think it makes us all better.
Speaker A:That being said, you and I are in the same sector, business and technology.
Speaker B:Yep.
Speaker A:And we don't have anywhere near the caliber of the guests that they've had on, although we've got some great ones lined up.
Speaker A:We've spent time to really grow this show a meaningful way and to do things, build studios, cinematic lighting.
Speaker A:Over the, over the course of years, we grew it organically and you can see that trend as our shows developed.
Speaker A:They came out, spent millions out the gate, do what they did.
Speaker A:But to me, I look at the show and I think, okay, so what happened was during the last election, podcasts became very important.
Speaker A:We know that traditional media is dying and the trust in traditional media is at an all time low and as it should be.
Speaker A:We know that billionaires have owned traditional media for A long time and they've tried to influence the outcome of traditional media and the narrative of the American people.
Speaker B:You can understand why it helps them control the narrative.
Speaker A:Been weaponized.
Speaker A:Yeah, I think that because of the impact in the last election to the Republican side, the very liberal leaning Silicon Valley, which I've got a lot of respect for and I love a lot of those people there and it's not a knock on them.
Speaker A:They needed an outlet, a voice that was going to allow them to come off good.
Speaker A:Right.
Speaker A:So I, and I think these guys have some Y Combinator backing.
Speaker A:And if you Remember from the OpenAI conversation of Sam Altman, his connection to Nexus there, Peter Thiel and those guys, I think that these guys are backed by the same team in Silicon Valley.
Speaker A:That, that explains their abnormally large sponsorships for their relative small base.
Speaker A:It explains why all of them are tech focused.
Speaker A:It explains why Sam Altman would pay over a hundred million dollars to use them as a marketing arm.
Speaker A:Yep.
Speaker A:For open AI.
Speaker A:And look again, I don't have a.
Speaker B:Problem with anything and, and just be labeled the trusted source for all things AI and technology.
Speaker A:Well, if you, if you're in the AI space and let's look at Zuckerberg for example.
Speaker A:Zuckerberg is demonized a lot for the impacts on social media.
Speaker A:Sam Altman is demonized a lot.
Speaker A:We've covered him in some ways that are sensational and salacious, but they needed an outlet that could get out non traditional media and have clips that go viral from.
Speaker A:And I think these are the guys that they're leaning on to do it.
Speaker A:Yeah, this is how name another podcast these guys have been on.
Speaker B:Yeah, I, I don't know, I don't know of any.
Speaker B:But I, I do know the, the people over at Breaking Points have given them a shout out and that was the one that caught me off guard because I actually trust that source.
Speaker A:Yeah, no, I'm not, look, I'm not knocking, you know, the two cultures.
Speaker B:No, I'm not, I'm not knocking it either.
Speaker B:But it, it, it doesn't feel organic.
Speaker A:A year and a half, 5 million in revenue.
Speaker A:Year one, allegedly.
Speaker A:I'm going to go with that on face value.
Speaker A:30 Million, allegedly.
Speaker A:Year two, again, I'm going to go with that on face value and then now OpenAI buys you.
Speaker A:But you're going to keep your journalistic independence for over a hundred million dollars.
Speaker A:Now, mind you, as a primer to this, we just covered the two brothers who use agentic AI and AI to build a company.
Speaker A:That company Sells hundreds of millions of dollars of products.
Speaker A:Schedule to sell 1.8 billion.
Speaker A:Billion next year.
Speaker A:Yep.
Speaker A:They're going to make less in a year and a half than these two guys made off this platform.
Speaker A:For perspective, does that make sense?
Speaker B:No, no, it makes no sense.
Speaker B:Wild.
Speaker A:I mean, they have 250,000 real customers, like it or not.
Speaker A:Right.
Speaker A:Two employees, 16.2% margin.
Speaker A:They're making money.
Speaker A:These guys have a multimillion dollar studio.
Speaker A:They're paying rent there.
Speaker A:They own the space.
Speaker A:I doubt they own it.
Speaker A:It's in Los Angeles.
Speaker A:I believe they have a president.
Speaker B:It's in la.
Speaker A:Yeah, they have a president.
Speaker A:They have.
Speaker A:It's in la.
Speaker A:I believe they have a president.
Speaker A:They have a full team.
Speaker A:They got a ton of equipment in there and trust me, we, we've got our fair share of equipment in here.
Speaker A:I mean, I mean, we're well into the six figures.
Speaker A:I. I know they've spent a million dollars.
Speaker A:Right.
Speaker A:Yeah.
Speaker A:And again, beautiful studio, beautiful space.
Speaker A:I would have liked to see them be a little more cinematic, if I'm being candid, but whatever.
Speaker B:Maybe that's the raw feel that they're going for.
Speaker A:If I'm being critical of the show, I will say one thing.
Speaker A:I. I understand how difficult it is to be in front of somebody for three hours and talk.
Speaker B:Yeah.
Speaker A:I would like to see a lot more of them engaging like you and I do.
Speaker A:Right.
Speaker B:They do.
Speaker B:They do a lot of reading of timelines.
Speaker A:Yeah.
Speaker B:And a lot of, A lot of their show is broken up into interviewing guests.
Speaker A:Yeah.
Speaker A:Which to me is fine.
Speaker A:That, that's a whole logistics nightmare and it's a ton of respect for how hard that is to manage.
Speaker A:Particularly people that are interviewing.
Speaker A:Those are not easy interviews to get.
Speaker B:Yeah.
Speaker A:On your time.
Speaker A:Plus you're.
Speaker A:You're either they're call or you're meeting them physically in person.
Speaker A:That's a lot of work.
Speaker A:I'm not discounting any of that.
Speaker A:But 100 million guys?
Speaker A:The fuck some.
Speaker A:I mean, come on, dog.
Speaker A:Look, I understand that there's some shenanigans.
Speaker A:Did your watches fall off?
Speaker A:Even your watch?
Speaker A:Don't believe it.
Speaker B:I played with, I was playing with the chest.
Speaker A:Yeah, Yeah.
Speaker B:I don't buy it, man.
Speaker A:Look, I'm not knocking him.
Speaker A:Look, I hope to hell, first of all it is real.
Speaker A:But I hope to hell that that means that other creators in this space, like you, me, Regiel, and selfishly as that may be, I hope that we can get that same benefit from a non traditional media source.
Speaker B:Hey, you know, back to Fractions, bro.
Speaker B:I'm going 10.
Speaker A:10 Million.
Speaker A:We can split.
Speaker B:That sounds good.
Speaker A:Yeah.
Speaker B:With that?
Speaker B:Yeah, I'm okay with that.
Speaker A:Babe, I'm sorry.
Speaker A:Look, we only made a million each.
Speaker B:Only?
Speaker A:Yeah.
Speaker B:Taxes as a kid.
Speaker B:Say.
Speaker B:Get your bag, boys.
Speaker B:I'm glad you got.
Speaker A:You know, I'm 100% like.
Speaker A:Respect.
Speaker A:I like the new website too.
Speaker A:I didn't.
Speaker A:I hadn't seen this yet.
Speaker A:This looks great.
Speaker B:Yeah, it's clean.
Speaker A:Yeah.
Speaker A:Their, their new logos and graphics are really cool.
Speaker A:And as a guy who designed all of our own graphics, I can tell you that, that I respect.
Speaker A:They use a third party firm, but this firm they use is really getting off the screen.
Speaker A:Makes me sick.
Speaker A:Yeah.
Speaker B:Makes me sick.
Speaker A:Yeah.
Speaker A:Get this out of here.
Speaker A:I prefer our grungy dirty ass.
Speaker B:Yeah, I like it like a bunch better.
Speaker A:Right.
Speaker A:Shout out to the gangsters, homie.
Speaker A:We ain't polished.
Speaker A:If you want polish, go over to TBN.
Speaker A:If you want street smarts.
Speaker A:We're the 50 cent of social media journalism.
Speaker B:Yeah, I'm for that.
Speaker B:Yeah, I'm all for that.
Speaker B:Sign me up twice on Sunday.
Speaker B:I'm excited, man.
Speaker B:I'm excited to have.
Speaker B:Going back to some more real conversations and like to circle back to what we said at the top of the show.
Speaker A:Right.
Speaker B:To go down the path of all the things, all the lessons that we've learned in corporate America over the last 20 years that I would definitely be valuable that we were.
Speaker B:We weren't able to share before.
Speaker A:I mean like, I want to do it in a respectful way.
Speaker A:No, no, no, no, no, no.
Speaker B:Yeah.
Speaker B:We're not going to come out guns blazing.
Speaker B:But.
Speaker A:But I will have to admit, like me probably more than most was done pretty dirty.
Speaker A:Yeah.
Speaker A:And I'll say this.
Speaker A:I hope somebody forwards this to the board.
Speaker A:I left that company.
Speaker A:Right.
Speaker A:A.
Speaker A:A kid who grew up in that company from 26 to almost 46.
Speaker A:Right.
Speaker A:I left that company leaving hundreds of thousands of dollars in a payment just a couple months away from.
Speaker A:And millions on the table of payout.
Speaker A:I left that on the table and I resigned on my own volition.
Speaker A:Not a single board member called.
Speaker A:No email, no text.
Speaker A:Board members, mind you, who had just months earlier agreed to pay me $2.7 million and I have it in writing and just chose to look the other way and not.
Speaker A:And not even agree to have a conversation about why they retraded me.
Speaker A:Yeah.
Speaker A:Board members who begged me to help them in a situation they could not have solved.
Speaker A:That took me to the Republican party and a lot of Conversations was held off the regulators.
Speaker A:These guys were thanking me, calling me all these great things only to have them turn around and call me egotistical when I wanted to be paid for it.
Speaker A:That's not ego.
Speaker A:That's how corporate America works.
Speaker A:I do a job, you pay me for it.
Speaker A:Just saying, hey, Chris is good at his job is not how you reward really successful results.
Speaker A:That's just not the way it works.
Speaker A:It doesn't make me have an ego.
Speaker A:That makes me have an expectation that if I perform, you pay.
Speaker A:That's how corporate America works.
Speaker B:And over perform form.
Speaker A:Yeah.
Speaker A:Well that's, that's an opinion that would be ecical me.
Speaker B:But if you say it, it's okay.
Speaker A:If you say it's fine.
Speaker A:Yeah.
Speaker B:So a lot, a lot more to come on that.
Speaker B:Jul, you got anything?
Speaker B:Yeah, just come over to th.com and get your merch.
Speaker A:Get your merch.
Speaker B:Sign up for our let's be friends.
Speaker A:Yeah.
Speaker B:Our newsletter.
Speaker B:A newsletter came out over the weekend too.
Speaker A:Oh yeah.
Speaker A:So the newsletter is.
Speaker A:Look, he broke the screen.
Speaker A:Look, he just broke this remote control thing.
Speaker A:Don't worry about it in the show, nobody will look at it.
Speaker B:Yeah.
Speaker A:So the newsletter is fully automated by our AI but I recognize the problem that happened.
Speaker B:The products were missing.
Speaker A:Yeah.
Speaker A:So I sent it out over the weekend because I give me more time to kind of investigate what happened.
Speaker A:I figured it out.
Speaker A:The next one that comes out has two new features.
Speaker A:One that that's going to be replaced with an agent AI version which looks exactly the same to you, the end user.
Speaker A:It'll be just random products but they'll also be like Chris's weekly comments or Saeed's weekly comments.
Speaker A:Because AI listens to our shows.
Speaker A:Yeah.
Speaker A:Whenever I post them to social media, I. E. YouTube.
Speaker A:When it comes out on Tuesday, our.
Speaker A:Our AI listens to the show.
Speaker A:Download the transcript via via Whisper.
Speaker A:An internal mod doesn't cost us anything in API calls.
Speaker A:Gets the tone of what we're talking about and then puts in into the newsletter that goes out about an hour and a half, two hours later a statement about Saeed's thoughts or Rajill's thoughts or Chris's thoughts about the show.
Speaker A:Right.
Speaker A:Yeah.
Speaker B:That's awesome.
Speaker A:Yeah.
Speaker B:So yeah, stay on the lookout for that.
Speaker B:If you're listening and you've been paying attention this long, please.
Speaker B:I hope you're a subscriber of the show.
Speaker B:Head over.
Speaker B:If you're on YouTube, make sure you subscribe.
Speaker B:Hit that like button and then notification bell.
Speaker B:Do all the moist goody good stuff.
Speaker A:Oh, this comes out next week.
Speaker A:This comes out on Tuesday.
Speaker A:Thursday.
Speaker A:We're dropping a special episode on Thursday.
Speaker A:So this episode comes out on the 7th, on the 9th.
Speaker A:Special, special episode coming out.
Speaker A:Very big guests in the house and a special episode co host as well.
Speaker B:Yes.
Speaker A:Which I hope to that you guys will like it.
Speaker A:It's a very different episode for us.
Speaker A:Very distinct departure.
Speaker A:But hopefully you guys like it.
Speaker B:Yeah.
Speaker A:Yeah.
Speaker B:And let us know your thoughts if you like.
Speaker B:If you like the show the best.
Speaker B:Thank you.
Speaker B:That you can give us is refer this out to a friend, colleague, a fellow investor.
Speaker B:That's.
Speaker B:That would do great wonders for the show.
Speaker A:Or call Sam Altman, get us $100 million.
Speaker B:Yeah.
Speaker A:We'll give you commission, 10% for you finders fee.
Speaker A:Yeah, 10% for anybody gets the same.
Speaker A:Altman.
Speaker B:All right, I'll be seeing you soon.
Speaker A:When?
Speaker A:Oh yeah.
Speaker A:Tomorrow.
Speaker B:Yeah, maybe.
Speaker A:Really?
Speaker A:Yeah, why not?
Speaker B:You come through.
Speaker A:All right.
Speaker A:Good night everybody.
Speaker A:Okay, bye.
