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Episode 38: Democracy as a Ticker, Jamie Dimon’s F-Bomb, & US Perps

June 3, 2026June 5, 2026

JR and Leon break down the massive news of crypto perpetuals hitting the US market, dissect Jamie Dimon’s unfiltered thoughts on the Clarity Act, look into Koshi’s new “American Power Index” (Kapow), and issue a warning about the rise of high-tech AI trading scams.

Hosts: 

Jesus Burgoa (JR), Founder & CEO of Social Market

LinkedIn:  https://www.linkedin.com/in/jesus-rafael-burgoa-b34874170/
X: https://x.com/jesusrburgoa
Website: https://jrburgoa.com/

Co-Host: 

Leon Hitchens, CMO of Social Market

LinkedIn:  https://www.linkedin.com/in/leonhitchens/
X: https://x.com/Leonhitchens
Website: https://www.leonhitchens.com/

Find Us: 

Spotify: https://open.spotify.com/show/3cfUVNwIm2AXt2oZ0nx2Dv
Apple Podcasts: https://podcasts.apple.com/us/podcast/the-social-ledger/id1803475184
YouTube: https://www.youtube.com/@TheBoostChannel
Website: https://theboost.fm/social-ledger-report/

YouTube:

Podcast:

Key Topics

1️⃣  The Clarity Act & Jamie Dimon’s Crypto Rant

⚫ The Drama: JPMorgan Chase CEO Jamie Dimon went unfiltered with Bitcoin Magazine, claiming the Clarity Act lacks legal protections and that big banks will fight it.

⚫ The Reality: The hosts note that after a brutal wave of DeFi hacks, even crypto natives are starting to crave a middle ground of institutional safety and consumer protection.

2️⃣  Perpetuals Hit the US Market via the CFTC

⚫ The Big News: The CFTC has approved Bitcoin perpetual contracts ($perps$) submitted by Koshi.

⚫ Perps vs. Futures: Leon clarifies the difference: traditional futures have an expiration date, whereas perpetuals have no end date, allowing traders to hold positions indefinitely.

3️⃣  Turning Democracy into a Ticker: The Koshi Power Index ($KAPOW$)

⚫ What is it? Koshi launched an index tracking the balance of power between Democrats and Republicans, combining forward market signals with current officeholder data.

⚫ The Flaw: Leon points out a major vulnerability: the index weights markets based on “salience” rather than trading volume. A low-volume presidential market ($500k) has the same index weight as a high-volume house market ($13M), making it easy for whales to swing the index.

4️⃣ The $12.3M “Privy” Scam & Robinhood’s AI Trading Agents

⚫ The Fraud: The SEC charged Nathan Fuller for defrauding 150 investors out of $12.3 million by promising fake AI trading bots with guaranteed 100% returns.

⚫ The Future of UX: AI-enabled scams are up 4.5x, but legitimate “agentic” tech is moving fast. Robinhood just released AI trading access via MCP servers, signaling a shift toward a “headless” chat meta where natural language replaces clunky financial UI.

Notable Quotes

Leon: “If somebody’s telling you ‘give me $1,000 and I’ll get you two grand,’ you’re either in a Ponzi scheme or someone is about to get screwed.”

Support the Show!

0:00

Hello everyone. Hello internet. This is JR.

0:04

>> This is Leon. Welcome to the

0:06

>> Spiderverse. The the Spider Noir. Have you watched Spider Noir?

0:11

>> No. Is it on Netflix?

0:13

>> Uh, no. It’s on Amazon Prime. It’s got um that one weird looking dude. Uh he’s

0:17

he’s good in movies. Nicholas uh Nicholas Cage, I think. Yeah.

0:21

>> Okay, that’s fun. I know Amazon Prime has been producing a lot of bangers this

0:25

year with like Invincible, the boys finale. So, I’m going to add that on my

0:29

watch list. Actually,

0:31

>> Invincible was pretty good. Uh, the in the middle, and I know this completely

0:35

off topic, in the middle was was a little mushy. Season 3, not not a big

0:41

fan of it, but at the end,

0:43

>> season two

0:44

>> was good. Yeah, season two and three I thought it was kind of mediocre, but

0:47

season 1 I loved, and season 4 is just like so much like goodness to it. So,

0:54

I’m I’m into it.

0:56

>> Yeah. Well, I’m glad you got into it. All right, so for this episode, we’re

1:01

kind of going to be all over the place. So, um, we want to talk about perpetuals

1:06

are coming to the US thanks to the CFTC. And this is actually going to be a

1:11

pretty big deal for Hyperlquid, uh, Coinbase, Koshi, possibly Poly Market if

1:17

once they get their um once they’re able to finally do a lot of more business

1:22

here because you can only do like sports trading and some politics, but not like

1:26

as much as you can with Koshi. So, also compared to C going back to Koshi,

1:32

they’re doing um the power index, the American Power Index. That’s pretty

1:36

cool. We want to go over that. they um have their Bitcoin powered perpetuals

1:41

now. So, that’s pretty cool. It kind of sounds like they’re taking the angle of

1:44

hyperlquid. So, I want to see more into that today and maybe get into the app as

1:48

well. And then for the last topic there, we want to talk about agents, trading

1:55

crypto, trading anything with agents. There was a 12.3 million scam reported

2:00

by the SEC this morning as of recording. So, it’s kind of a big deal. this guy um

2:06

he defrauded you know investors 150 of them I think it’s a pretty big deal

2:10

considering where the comp where the trajectory of the industry is moving

2:14

like Robin Hood released agent MCP bay did the same thing you know we’re kind

2:21

of on the same space at this point so I think it’s a pretty big deal and you

2:25

know something I want to share my concerns about um but yeah without

2:28

further ado if you like what if you like what you’re watching subscribe to the

2:32

channel it cost you nothing helps us grow. We’ve reached almost 300

2:36

subscribers in the last month. So, that’s amazing. Um, do you have any

2:41

shout outs, Leon? Anything?

2:42

>> No, no shout outs. Uh, like, subscribe. Subscribe mainly. Leave a comment.

2:48

>> Cool. Thanks. All right, so let’s talk about Koshi then, I suppose. Or I guess

2:54

the perpetuals. Oh, no. I’m sorry. I’m I’m such an idiot. I completely forgot

2:57

about the Clarity Act.

2:59

>> Yeah, let’s talk about that. And Mr. uh

3:02

>> scourge of crypto that turned a turned to like it. Jamie Diamond.

3:08

>> Yeah. So, I guess that’s where we’ll started. So, the other day I was on

3:11

Twitter like as Termin as I am normally. Um there’s been some developments on on

3:19

the Clarity Act. I mean, at this point, it’s like, dude, they already passed the

3:23

Senate or or or not, it’s going to the Senate, but already passed the the House

3:28

of Representatives.

3:29

>> Yeah. Yeah. And I think it came out of the Senate committee, too. So, it’s it’s

3:34

working its way through the system.

3:38

>> Let me see if I can find a video.

3:40

>> Uh I think it’s uh how a bill works. Uh what’s the high school rock like? What’s

3:47

the rock songs about how Congress works?

3:51

>> Well, I wonder who that sad little scrap of paper is.

3:54

>> Okay. So, I know schoolhouse rock.

3:56

>> Yeah. I’m just we should we should make a Schoolhouse Rock AI video of uh the

4:03

the uh crypto drama with this clarity act. That would be a very good meta. I’m

4:09

going to play with that later.

4:12

>> See if Corey can do something fun with that. If you’re watching this, Corey.

4:16

All right. Um so I found the interview. This is with Jamie Diamond. This is with

4:21

Bitcoin Magazine. Let me know if you cannot hear my audio.

4:25

could be in anyone’s wallet and it goes w the fourth wallet. So the first one

4:29

may be legitimate, second one may be a sex trafficker. So you know this it’s

4:33

complicated and the government needs to do it thoughtfully. If they don’t do it

4:36

thoughtfully it will cause it’ll be a huge problem.

4:38

>> So are you happy with the way the clarity act is turning out?

4:41

>> No because it it it allows them to effectively pay interest on deposits,

4:47

stable coins or something like that without the protection that they should

4:50

have and it doesn’t do anything for MLBSA. It has almost no legal

4:53

protections. So, no, it’s the banks will not accept it that way.

4:58

>> And the ABA, the small banks, the credit unions, not just the big guys. I’m not

5:02

worried about stable coin, but if it happened, I’m telling you, I would have

5:06

nothing to do with it and it would eventually blow up on its own. Okay? But

5:09

that’s my personal thing, but I do understand the concern of all the other

5:12

banks. So,

5:13

>> well, the markup is coming. I mean, what are you going to do about it?

5:15

>> It is. We’ll fight it. If we lose, we lose and we’ll live.

5:18

>> Okay?

5:18

>> But it will be fought. This will not be No, no one’s going to bow down to this

5:22

guy, okay? with that company and he’s the only one and he’s spending hundreds

5:26

of millions of dollars in Washington this thing.

5:29

>> He said he’s he’s representing the whole

5:31

>> full of [ __ ]

5:33

>> Yeah.

5:35

>> Watch that one.

5:35

>> She was even surprised. That’s so funny.

5:38

>> Yeah.

5:39

>> Wow. Well, I mean this is turning into a big fight between the whole, you know,

5:42

industry. You’re talking about blockchain and and and getting

5:46

blockchain out.

5:47

>> You’ve been doing that for a long time.

5:49

>> Okay. Okay, I’m just going to end it there because they go at that point.

5:53

>> It’s shocking. I you know, like I I I love that. But

5:58

>> so does that mean they’re going to [ __ ] or something? Like what’s what’s the

6:01

>> Yeah. So essentially the main character beats the crap out of the other guy and

6:07

you you got to watch it. But uh

6:10

>> you may want to look up what the show’s about Ryan. I love that. I was so thrown

6:14

off when I saw it. I was like, you know, they [ __ ] right? Like is that what

6:18

you’re going to do? Are you gonna get him?

6:19

>> No, like he did. Yeah, it’s it’s a fun fun like jab thing. So,

6:27

I still think it’s it’s interesting. It’s a funny meme. But I think overall

6:30

Jamie Diamond I I understand what he’s saying about the protections and the

6:35

safety of it all. But truthfully, man,

6:37

>> the the big banks get away with so much fraud, so many problems. They then just

6:43

pay a mediocre fine and nobody respects them. nobody likes them anymore. And I

6:48

think the banks see the crypto stuff as something they need to adopt

6:55

as like an infrastructure upgrade and they want to do it in their way and

7:00

their flavor and anything that jeopardizes their financial system,

7:04

their FX and all of that is is where they’re pushing back on. Honestly,

7:12

I see what you’re saying and there’s all there’s a lot of memes on

7:18

the internet how you compare crypto bros in the last maybe decade compared to

7:23

like the last few years. people in the last decade they were like I mean I’m

7:29

sure I’m sure Corey can pull it up or something for us but

7:34

you know back then people would would be all about decentralization no governance

7:38

and then now it’s like you know when is the next big company going to buy

7:43

release the ETF or when is the next memecoin going to go boom so it’s like

7:49

>> you cannot always have that same mindset you’d had in the last decade but also I

7:54

mean the degeneracy about the meme coins recently. Like you there’s got to be a

7:57

middle ground. Like I mean the last month we were covering a bunch of

8:01

attacks in DeFi. And you know some of our prospective customers we were

8:05

talking to they were like yeah I don’t know if I want to trust your product if

8:08

you’re on DeFi because you know there’s almost no guarantee that once my money

8:13

is lost I can get it back you know because there’s no insurance and nothing

8:17

that can guarantee protection. I mean it was insane. It was like DeFi was dying

8:23

last month for for a while and even earlier this month. Um,

8:28

so I see Jamie Diamond’s point. That’s as far as it goes.

8:32

>> To your point, like banks are also so shady, dude. Like who are going to get

8:37

[ __ ] by over the most banks, hackers on crypto, people pick their poison. And

8:44

I would take my chances with crypto either way. However, I am hopeful that

8:48

there’s going to be some sort of framework for any crypto provider

8:55

that is in favor of builders to be able to protect consumers as well. And I’m

9:00

sure the technology is only going to get better, especially Mythos is coming out

9:04

uh for everyone at some point. So, I don’t know how that will go, but I’m

9:09

hoping that, you know, at least developers will be able to catch a lot

9:13

of security bugs that can help mitigate DeFi attacks.

9:16

>> Yeah, I I do think there needs to be some sort of monetary protection for

9:24

>> deposits that are in stable coins, but also

9:28

the reason banks have any sort of protections because it’s a government

9:32

currency. Stable coins are not a government currency. They’re they’re

9:37

backed by T bills. They’re backed by all of that. But like

9:41

>> true.

9:43

>> It’s a weird gray zone of like I don’t know if the government should provide

9:47

protection for that. But yet at the same time, if a bank fails and all that money

9:52

goes away, like normal consumers lose. Like there there’s got to be some sort

9:56

of protection. But also, how do you do that in a safe

10:02

way that’s not just, you know, government overreach and overregulation?

10:07

>> I think our biggest [ __ ] up was just getting off the gold standard. Like the

10:12

dollar is just worth as much as toilet paper is in theory. You know, we need to

10:18

tokenize the dollar like have a government tokenized asset. That’s

10:23

that’s what I’ve been wanting for the last since I got into crypto. I’m like

10:27

maybe this will be the endgame, but I mean we’ll see.

10:30

>> Yeah, but I think the the bad of the gold standard was the economic rigidity

10:36

of it. Like you it prevented central banks from injecting money into the

10:41

economy during recessions. So co if we had co and we had a gold standard like

10:46

we would have been you know possibly crushed. And then uh

10:52

like there there was also like the bad of

10:56

like you know

10:57

>> deflationary spirals like a shortage of gold could cause widespread deflation

11:02

you know vulnerability to shocks like there was a lot of bad in the gold. Um

11:07

but when you did decouple it from from it the go from the gold the only thing

11:13

that’s supporting the US dollar now is the United States military. And I always

11:18

say this is like the military is the value of of our dollar.

11:22

>> Um

11:23

>> you’re not wrong.

11:24

>> It it is, you know, it’s just like a Roman Empire in the past. Like why did

11:29

you know why is all their stuff worth something? It was like it’s because it’s

11:32

the Roman Empire. The United States is the same way. It’s,

11:36

you know, not good, not bad. I I think it’s just the the way. And I think we’re

11:42

the most good out of any, you know, society that’s been around like in all

11:48

of history. Like, you know, if you look back to the Mayans to to anybody else,

11:52

the Romans, like the amount of bad things everyone did, you know, it it

11:57

always was bad, but I think theirs was for conquering and ours is for, you

12:02

know, trying to keep people snick safe for the most part.

12:08

Well, I still think America is the best country on earth despite whatever Peter

12:12

Theo might do moving to Argentina. Um, it’s pretty much Rome back in the day in

12:17

my opinion. Not to, you know, I think it’s a very high testosterone

12:22

conversation when you’re talking about the Roman Empire, but that’s besides my

12:25

point. Um, but in order to express gratitude for America, I mean, whatever

12:32

rep, let me let me say that again. You can cut that, Corey.

12:36

Um, but you know, I still think this is the

12:41

best country on earth. However, speaking of best country on earth, did you know

12:45

that perpetuals are finally coming back to America or I don’t know if they were

12:49

ever here?

12:51

>> I Yeah, I don’t know if they were ever here. Um, I saw it like I I feel like

12:56

it’s a positive. I there’s so many crypto tools out there that have just

13:01

been limited to us for, you know, better part of five, six years. And I’m so glad

13:07

that it’s it’s finally starting to come back. You don’t have to have a VPN. You

13:10

don’t have to kind of finagle your way around.

13:14

>> Okay. So, I think it all started this week when the CFTC approves the BTC per

13:22

contract submitted by Koshi. It’s pretty cool how they’re an LLC.

13:27

Like I wonder um well they probably have a parent company that’s a Delaware C or

13:32

something and then they have the exchange that’s an LLC.

13:36

>> So probably like Alphabet like Google’s an LLC. Yeah. In the end.

13:42

>> Yeah. Probably should be sharing my screen as I’m talking about this. Um

13:47

so I found this post and it’s from Salana Floor and it pretty much just

13:50

says what I just read. Um, they made their their their submission. It’s

13:55

pretty interesting. I think you mentioned, you know, before we went live

14:00

that Brian Armstrong corrected this. They weren’t the first

14:05

approved per in America. Is that right?

14:09

>> I maybe they’re the first, but they’re not the only one is what Brian Armstrong

14:15

was kind of trying to say.

14:18

>> Okay. So, that’s

14:19

>> Yeah, cuz I went and looked. Okay, that’s fine. I almost thought for

14:23

a moment this was actually I was like, “Hey yo, this guy’s coming out here.”

14:28

Um, will regulated PERPS be the next

14:31

trillion dollar market? Absolutely. I mean, day trading, you have more success

14:36

doing PERPS than trading stocks or memecoins. So, it could be worthwhile,

14:43

you know, and people are comparing prediction markets with meme coins with

14:49

ETFs or, you know, there’s a lot of ways to invest and to day trade. Obviously,

14:54

investing will probably net you more than day trading, but I think PERS are

14:59

going to be the next prediction markets here in America. Like, everyone’s going

15:04

to be doing it. It has that stickiness to it where you’re like shorting or

15:08

longing something. And if you use products like Phantom Wallet, they do

15:12

have their pers there. One thing that’s really cool is it has this little

15:17

onboarding system. You know, I could probably well it I don’t know if I’ll be

15:22

able to share here right now, but because I have it as a as a as an

15:26

extension, but my point is is you know, UIUX is so easy to make right now

15:31

because of cloud apps like VIP coding. So, I think this is going to be like the

15:38

next big thing aside from like the next big thing that comes in the financial

15:42

market after per after um prediction markets.

15:47

>> I could see this actually becoming the main thing. Like I I think prediction

15:52

markets are going to have a reckoning at some point. Everyone’s saying how bad

15:56

they are. People are, you know, defending it. And I think Khi is looking

16:01

at the future of where things might go. And perpetuals are an actual like

16:09

like an actual like like

16:14

it’s it’s it’s a real thing that is is not just a bet, you

16:19

know, like you can do this stuff. It it it’s a little bit like traditional

16:25

futures, but traditional futures don’t ha um sorry, traditional futures have an

16:31

end date. Perpetuals don’t have an end date. So,

16:34

>> okay,

16:35

>> that’s that’s how they end. So, you can hold a position in perpetuals

16:39

indefinitely. And I think that

16:44

is the closest to actual finance tools. Whereas prediction markets in a lot of

16:49

ways are they’re not an actual prediction market.

16:55

It’s not like uh Mark Cuban where you know when he bought got bought up by

16:58

Yahoo he shorted and and called on the stock you know uh you know if he could

17:04

do stuff like that

17:06

>> when you’re saying when he did that that was like a proxy of a prediction market

17:11

>> sort of like it is a proxy of prediction market but also you know if if he was

17:16

you know if there was a prediction market for you know would Yahoo buy his

17:21

company like he couldn’t do that because he had insider knowledge like the the

17:25

whole thing about like prediction markets and the original pitch was there

17:30

was supposed to be a hedge on stuff. So, like if you go book a vacation in, you

17:33

know, uh, Miami, you go, “Hey, there’s going to be a hurricane.” You place

17:38

money on it. So, when you when you do have a hurricane, you recoup your money.

17:42

You know, like that was kind of the the pitch. And now it’s not really that.

17:47

It’s turned into like, oh, is there going to be a war? And, you know, or,

17:50

oh, hey, are we going to do this? Is this person, you know, going to going to

17:53

do this or say that? It’s it’s really just gambling masked as as something.

17:57

And I think there is real usages for the for the prediction markets, but I think

18:02

they’re being marketed as like a make money and pay your rent, which is like

18:07

very predatory.

18:10

>> Can you repeat the last part about the rent one?

18:12

>> Like Koshi is running ads that say, “Hey, make rent like bet on bet on

18:18

prediction, you know, markets.”

18:20

>> Okay. Okay. Yeah. I mean, fintech, fintech is the most highly regulated one

18:26

besides um healthcare because you’re obviously dealing with people’s

18:29

livelihoods. So, I can see them getting in trouble

18:33

for that. But also, I mean, we’re in the new administration where everything is

18:37

legal, so it’s probably

18:39

>> anything while that happens. It’s all fair game. You know, if you have the

18:42

deepest pockets, you’re it’s all fair game. Um, but in any case, I thought

18:47

that was pretty cool. It’s still on weight. I’m I’m on the wait list, so

18:52

we’ll see what happens. I thought it was something worth mentioning just because

18:55

I love trading on prediction markets and sports betting on the Spurs. I’m hoping

19:02

they win. We’re the game is going to be later on today as of us streaming it, so

19:06

I’m hoping they win. Um, let us know in the comments who you think might win and

19:10

why if you’re watching it if you’re watching this. Um,

19:15

okay. So, while we’re still on Koshi, I wanted to talk about

19:21

uh the American Power Index, which I thought it was fun how um Lana made a

19:28

comment the way she wanted to position it. It was like pow like a like a comic

19:34

book. Um

19:36

>> really,

19:37

>> can I find else?

19:38

>> Yeah. Um it was just something fun that she tried to do, which I I respect the

19:43

effort. Here it is. All right. So, this is it. Like, this

19:52

happened a few days ago, like Wednesday, I think. Thursday.

19:56

>> Yeah. Kapow. Kapow.

19:58

>> Yeah. The Koshi Power Index or I I see the effort. Um, yeah. So, Koshi American

20:09

Power index. So, what’s this about? It tracks the shifting balance of power

20:12

between Democrats and Republicans backed by our data. That’s actually kind of

20:16

interesting. I like that. Um I I know I said that the first time I

20:21

looked at it, too. So, let’s see if Grock can break it down a little bit

20:25

more. I mean, it just talks about it being

20:29

launch. Kapow. Okay. Yeah. So, I guess we’re calling it Kapow still. It blends

20:34

75% forward-looking market signal on future controls with 25% current office

20:40

holder data on 50 50 plus D for Democrat and 50 plus R for Republican scale

20:46

showing a sharp swing toward Republicans in May 2026 with the latest reading near

20:52

plus 2.5R for Republican. This index offers a tradeable lens on policy

20:57

uncertainty and political shifts, drawing interests for its potential to

21:02

price power dynamics faster than polls while enabling hedging of election

21:07

related risks. Honestly, this is probably the best thing I’ve seen yet.

21:11

Like, like so dead ass about this. I really like this.

21:17

You You’re not going to see this [ __ ] anywhere outside of America.

21:26

Let’s see. So, um,

21:28

>> go ahead.

21:29

>> So, I hold on, let me look something up.

21:34

>> While you’re doing that, some comments. We really turn democracy into a ticker

21:39

symbol. Let’s [ __ ] do one minute markets on this. How long until senator

21:44

gets caught front running their own legislation? Oh my god, that’s probably

21:48

something I didn’t think about before, but like I can see politicians hedging

21:52

on this. There’s a lot of insider trading already, which you know with

21:56

stocks it it’s already going to get banned, I suppose, but I don’t know if

21:59

that’s going to extend to everything in the markets. Um,

22:02

>> but man,

22:03

>> yeah. So, what I went to go look real quick on is like

22:08

um how how they’re doing this.

22:12

Um,

22:13

>> okay. There’s a word um it’s called salance I

22:21

believe I’m pronounced it right. It it’s like ambiguity.

22:25

So um you know it’s it’s like let me look it up real quick cuz explaining the

22:30

word is

22:32

>> that’s fine.

22:33

>> Salience refers to the state of quality of being prominent, noticeable or

22:38

standing out relative to its environment.

22:43

I don’t have a financial background, but is that like a financial thing?

22:48

>> Salience. No, it it’s a psychology neuroscience. Like the reason why

22:54

>> um I know it is a marketing term. It’s you know likelihood of a brand standing

22:58

out in consumer’s mind or in a cluttered market.

23:01

>> Um

23:02

>> yeah,

23:02

>> so this is what I’m saying though. There’s like a salience ambiguity

23:07

ambiguity to it. like it’s using a pri proprietary system that just weights

23:14

based on events salient. So it’s it’s trying to weight an event based on what

23:19

it thinks. But they don’t publicly elaborate on exactly how this is formula

23:23

is calculated. I think

23:25

>> I believe it

23:26

>> and I and I understand why they might not want to do this, but I think they

23:30

should release all of this. Like Elon Musk got ripped to shreds saying that

23:34

Twitter was leaning Democrat. you know, the the the algorithm was silencing

23:41

Republican voices, all of that. Whether it was true or not, it became like the

23:45

whole like stickick about why he bought Twitter and everything. I think if Koshi

23:50

wants to look completely like just that this is an un like

23:57

unbiased thing, they need to do some more public elaboration on exactly how

24:03

this formula is calculated because

24:06

>> I I do want to see that cuz I do think that there might be flawed or hidden

24:12

waiting like the index gives similar weights to various political markets

24:16

despite wild differences in like these these trading markets. And then in

24:20

addition to that um like it can cause opinions of like a few traders on low

24:27

volume markets like shutdowns and stuff to disproportionately outweigh high

24:32

volume markets control of the house, you know, cuz they’re they’re using their

24:36

their market data to then essentially do that. So what I’m saying is some of

24:40

these low value low volume markets can outweigh a high volume market possibly.

24:49

Yeah, I mean it makes sense. Like I think they should have definitely put

24:54

out there it’s like people who I don’t know maybe

24:59

this might be a little bit of a far stretch but it’s like when Apple made

25:04

the M1 they kind of told you how it was made like we put the system in chip with

25:11

like the GPU CPU everything in there you know anyone who knows about that can

25:15

also replicate it you know like building chips is

25:18

>> you know something anyone could do if they wanted to like

25:21

>> well

25:22

>> maybe this is

25:23

>> I I think that’s a flawed example because the reason

25:27

>> I figured

25:28

>> Apple can do the chips so well is they controlled the whole stack you know and

25:33

in many ways coffee she does share the whole stack but let me let me show you

25:37

real quick like what I mean here so this is a really good um article about it

25:42

similar weights wally different volumes presidential race here kapow weights 18%

25:50

% but look at the trading volume like you know half a million dollars but

25:55

control of house 13 million volume this is outweing that

26:02

this you know and then that has the same weight as this you know

26:07

>> and then shutdown this year has the same weight

26:11

as as this if not more weight than that shouldn’t

26:16

shouldn’t be the way like what I’m saying is there could be a flaw odd

26:20

index to this.

26:22

>> No, I see what you’re saying. Like the inflow is a little bit contradicting,

26:26

especially with the control of the house and the house seats.

26:29

>> Yeah, cuz then you could go essentially control the market by putting half a

26:33

million dollars on the presidential race one way and possibly swing the whole the

26:38

whole KayPal index very quickly with looking at trading volume out here.

26:46

I mean, I guess it’s kind of like a ETF ETF or is it like an index? Kind of like

26:52

the Coinbase index where it has like the top 50 tokens by market cap. If suddenly

26:58

one of the tokens like let’s say if because

27:01

>> it’s like the S&P 500 100%. You know, Nvidia makes up the the thing. So when

27:06

Nvidia dips, the whole [ __ ] index dips, but this is exactly it. However,

27:12

>> yep. Nobody, you know, nobody anymore really

27:15

believes that the S&P 500 is a representation of the the economy. Like

27:20

to some traders it is, but but it is not a representation of the actual economy.

27:25

And my point here is that all of this could become a very big part. in here.

27:31

Look, the weight’s based on salience. Like I had to I had to go Google it

27:36

because I was like I know salience, you know, more or less means being, you

27:40

know, quality of prominence or something, but I was like I’ve never,

27:44

you know, known the full term. But this is my concern is you could come in here,

27:49

>> put a million dollars one way and swing this market pretty heavily because this

27:54

weight is here. I think they need to weight it off a trading volume too and

27:58

have some sort of like mathematical formula to to factor in all of that. So

28:03

that control of house should probably have way more, you know, weight here. It

28:08

should probably be 30%, maybe 40%. You know,

28:12

>> yeah, like it’s not as stable. I think the things that are the least stable in

28:17

this index were the presidential one and I forgot the other one that

28:21

>> the shutdown this year. It just it didn’t have enough volume. You could you

28:24

could swing the volume like these if you if you could put $5 million on a

28:29

presidential race in one way. You could in theory, you know, swing the market,

28:35

cash out early and, you know, still make up your money on a on by losing some

28:40

money on a presidential race because there’s just not enough volume yet.

28:43

>> Okay. Yeah. So, so I think you’ve mentioned that you you you

28:49

broke that down pretty good because like this is very high level stuff and

28:55

most people are reading this are going to be like oh that’s cool I can now like

28:58

trade on on politics more with like this index which is amazing like I like it a

29:03

lot I think it’s a very cool thing it’s very innovative thing you’ve never seen

29:07

this before um

29:09

>> maybe it needs a little bit more adjustments I think

29:12

>> I just think I mean these guys are and to some degree

29:16

they’re the experts right like you become the expert if by you building a

29:20

product whatever it is you become an expert at it if you’re convicted enough

29:24

and I think these people are by any means by all means they’re they’re

29:29

they’re the professionals but I wonder

29:34

I wonder what influenced the formula like I mean it it kind of breaks it down

29:38

there but like the formula itself like you mentioned like there’s still a lot

29:41

of questions that need to be answered and I I think they should probably come

29:44

forward and maybe in Kawi research or one of their conferences be like hey

29:48

yeah so this is why we’re building it and why not

29:51

>> they have some of this out there

29:53

>> on here on cost K costy research so there is a fact sheet there is um you

29:58

know information and a white paper that you could get um but I believe you have

30:04

to email and request this stuff

30:07

>> okay

30:07

>> so like I I’ve emailed them earlier today for the fact sheet and then for

30:12

the white paper because I am actually kind of interested

30:16

on how they’re doing that. Um like and again it it’s about volume

30:22

here. Like this is not a very high volume thing. And I I really do think

30:26

somebody could come in here and influence this pretty heavily to

30:31

Democrat

30:33

>> with with maybe a million to $3 million maybe, you know.

30:42

Yeah, honestly, um, this could easily influence elections as we know it. Like

30:48

we were talking about it earlier, gerrymandering is already a pretty big

30:51

deal, but like, well, I mean, there’s a lot of things, not just gerrymandering,

30:55

but that’s the first thing that came to mind. But, you know, there’s a lot of

30:58

big things, especially with prediction markets. I think that was probably the

31:02

most talked about thing during the 2024 elections for the president. I think

31:08

this is going to be the new relevance with it. And I mean I mean it’s a

31:13

[ __ ] mess when when you’re when you’re talking about elections, but like

31:18

>> this is going to be um it’s going to be an interesting election later this year

31:21

for the for the for the what are they called again? The my mind is blanking.

31:27

Um the elections happening in between like the

31:34

two-year elections. What are they called again? Um,

31:38

God, I’m a dumb

31:39

>> midterms.

31:42

>> Yeah, there you go. The midterms.

31:43

>> Okay.

31:45

>> Yeah, we’ll we’ll see what happens with the midterms. I’m actually looking

31:48

forward to it. I’m I’m I’m betting and I’m hedging and I’m doing everything as

31:53

far as all that goes.

31:56

>> Um, which is all fun,

31:58

>> but something that is not fun that I kind of want to talk about in the end

32:01

here is the Nathan Fuller scam with Privy. Uh, I think it’s Privy. So,

32:09

>> I think is it Privy or Privy? We’re probably neither of us are

32:14

pronouncing it right, but I thought it was Privy.

32:19

>> Okay, I’m going to say Privy. It sounds better because it has two V’s.

32:22

>> Um, so the TLDDR is this guy, the name is Nathan Fuller. I could never find a

32:27

picture anywhere. I don’t know if you can find it, but he lived in Texas in

32:31

Cypress and he was operating with his Wyoming entity that was made in 2023.

32:37

Um, the timeline goes from October 2022 to

32:42

mid 2020 22 to 24. He raised $12.3 million from 150 investors. Um the pitch

32:51

was mostly centered around investors signed joint venture agreements

32:55

promising proprietary AI based trading bots for high frequency arbitrage across

33:02

platforms which is kind of interesting when I read AI based trading bots. I was

33:07

like is he doing like like three comma strippy or some formula based trading

33:13

bot or was it like aic but based on the timeline it’s very much

33:17

>> uh what I first said. So, the claim guaranteed returns 100 plus% in as

33:24

little as 21 days or 40 to 50% routinely, which I’m like, dude,

33:31

if anyone tells you guaranteed returns, huge red flag. Like,

33:36

>> I don’t know. Like, maybe people are not those people weren’t the brightest and

33:41

unfortunately they pay the price. Um, but the SEC roll,

33:45

>> you get the greed thing, you know, like every time you hear that the greed gets

33:50

to you and you get in a precar precarious situation and then you nobody

33:57

taught them those those things. Like there’s always new prey to kind of prey

34:01

upon. Like I do think it’s a little bit more of

34:05

ignorance than stupidity, but it’s it’s just unfortunate.

34:09

>> Yep. So, I asked Grock all this what I’m what I’m telling you. Um, the SEC

34:15

charges are actually like relevant, like more recent. It violates the Securities

34:21

Act with all these [ __ ] sections. It seeks injunction, disgment,

34:27

and penalties. Discorgment. Is that how you pronounce it? I’m I’m ESL, so that’s

34:32

my

34:32

>> Oh, man. Disgint. I’ve never seen that. I don’t even know what that word is.

34:38

>> All right, we’re going to find out. Yeah, let’s Google that one real quick

34:41

because I’m not sure.

34:43

>> We’re we’re learning words today, you know. Uh I already forgot the last one.

34:49

Um this Gorgman is illegal.

34:51

>> Yes, salience. Thank you. Um tells you I didn’t really learn much from it. Um

34:56

this Gorgman is a legal remedy where a wrongdoer is forced to give up profits

35:01

obtained through illegal or unethical acts. Okay, so totally valid. I’m glad

35:06

they’re doing that. It makes sense. Oh, going back to

35:09

>> it’s kind of like reparations to some

35:12

>> Yeah, exactly.

35:14

>> I guess it’s a fancier way of saying reparations because that’s

35:17

Yeah.

35:19

>> Yeah. Exactly. So, why this scam worked? Red flags to highlight according to

35:24

Grock. AI hype exploitation. It promised blackbox tech that sounded futuristic

35:30

and low risk. I mean, I believe it. Um, guaranteed returns is always a massive

35:34

red flag, but yet these people still gave me money. So, I’m like, I don’t

35:37

know, dude. I mean, Darwinism is still a thing if you’re falling for this scam.

35:41

I’m sorry. I don’t know what to tell you. Fake credentials, bogus insurance,

35:45

FDIC claims. Okay, so I guess that’s probably fair cuz Well, no. I mean,

35:49

that’s not true. I mean, sorry. I’m just thinking I’m My ADHD is [ __ ] on the

35:55

roof right now. Um, I have a bad habit of talking as I’m thinking, so you’ll

36:00

get my gibberish. I mean, let me ask you, Leon, you’ve talked you you and I

36:06

met at at Geekdom, you know, we were talking about startups, and you’ve

36:09

probably seen more startups than I ever have before. Um, how does one,

36:16

if you’re raising money, how does one get away with

36:22

guaranteeing returns and they back it up with whatever [ __ ] Like, do you

36:27

think they’re just really good at sales at that point? like how did this person

36:31

get away with it is when trying to get

36:36

>> Does that make sense?

36:37

>> I Yeah, I I run into this a lot where the person is so charismatic. Um there’s

36:43

a there’s actually a word for it. Um charismatic and

36:50

manipulative. It’s like a man, what is the word? I I’ll I’ll find

36:56

it.

36:58

>> Okay. uh Mavelian

37:05

uh it’s Mavelian um a person that is like that they’re

37:11

they’re just charismatic and manipulative like their whole

37:16

personality is about doing that they’re slick they’re you know so sociopathic

37:21

they’re narcissistic they’re calculating all all those things and I think you

37:26

have to be that to be a founder in some ways. However, these people are often

37:32

like overtly um maybe even covertly like you know

37:37

tricking people into it. like they might not be explicitly saying that there’s

37:41

going to be returns like you know oh I’m going to get you a

37:45

th000% but they’re more or less like hey your money’s safe like you know there’s

37:50

nothing to worry about like you’re going to get returns like look at this in the

37:52

past you know like doing all of it but often times something that’s too good to

38:00

be true is often too good to be true like if if somebody’s telling you give

38:03

me $1,000 and I’ll get you two grand you’re either in a Ponzi scheme

38:07

somebody’s something’s happening like somebody’s going to get screwed and it’s

38:12

a matter of when are you going to get screwed and I think most people don’t

38:16

run into that enough man scams are constant and there’s

38:21

there’s an inflow of new people every single day you know

38:27

>> yeah I mean people it’s just great at that point um we were talking earlier

38:31

about psychology a lot and I could have about the psychology of money which is a

38:35

book that I’ve read and I believe you’ve also read it Um, money just kind of

38:39

brings out the worst and very few times the best in us. Um, it only amplifies

38:46

what already exists is kind of like my take away from that book. Like, you

38:50

know, if you’re already a certain type of person, you add more money into that,

38:55

you’re going to fuel up that certain type of person. So, it’s all very

39:00

interesting stuff, I suppose. Um but going back to this broader context

39:04

according to Grog AI crypto trading scams in 2026 they pretty much exploded

39:10

analysis and other noted AI enabled operations extract 4.5x more money on

39:15

average whether they’re deep fakes fake signal groups fabricated dashboards and

39:20

autonomous agents are common. Okay, so that makes sense. Like this is what I

39:24

wanted to talk about like as a segue like everyone is now doing agents and I

39:31

mean I mean this is the this is the thing

39:34

with with been being in fintech. One thing I’ve noticed is building in this

39:38

space long enough, like even with the whole degeneracy that there was with

39:43

meme coins, um like you’re never going to find returns.

39:48

Like if anyone is ever telling you, yeah, you have promised returns on your

39:52

investments. I’ll be very careful. Um, the best thing I can look into that that

39:58

is actually legitimate would be like UBS or Fidelity or maybe you’re talking to

40:03

some, you know, quant firm. They’re the ones who have enough expertise, enough

40:08

data to be able to tell you where your investments are going to project are.

40:13

>> They’re still they’re all still gamles and they’re all still estimates. Like

40:17

you it’s just like Nvidia like Nvidia is kind of um a guaranteed success in many

40:22

ways. However, man, you know, somebody could not make their payment. Like, you

40:29

know, the United States could go to war with Taiwan and, you know, China and

40:32

they could it could just there’s always a risk.

40:36

>> Yeah. There’s always going to be a risk. You just never know where things are

40:38

going to go. And if anybody says they can do do it like a quant a quant should

40:44

be a highly highly intelligent person, the more intelligent a person is

40:49

generally the more hedging language they use. So you should hear them say, “Hey,

40:55

if everything goes to plan uh based on current market conditions, this is the

40:59

the path that you know the numbers are heading, you know, based on um you know,

41:05

us not heading to war. This is where the market should head based on you know the

41:10

quarterly earnings hitting this, you know, if everything goes well.” like

41:16

anybody that’s intelligent going to use hedging language more than just saying,

41:20

“Yeah, this is definitively what happens.”

41:23

>> Yeah. I think a good way to spot someone who’s legitimately trying to help you

41:28

financially, they’re still going to tell you like, “Listen, there’s still a

41:32

risk.” Whereas someone who wants to just take your money, run with it, they’re

41:37

going to tell you everything you want to hear. Like, yeah, dude, if you give me

41:40

$1,000, I’m gonna double it. No sweat. probably gonna sound a lot more

41:45

elaborate than I am, but you know, my point is is they’re never going to tell

41:49

you like the risks even if you ask the risks. And I mean, I ran into one person

41:53

one time. I thankfully I was smart enough not to give up my money. But I

41:59

mean, I’ve been approached by MLMs as well. So, I think the pattern that I’ve

42:03

seen is they’re always going to try to sell you the upside or just the good

42:08

outcome. And when you ask them on what would happen if it doesn’t go that way,

42:14

either depending on the person if they’re good at sales or good at talking

42:17

to you, they might they might just say some [ __ ] that will make you think, “Oh,

42:23

well, I guess it’s fine either way.” Like, no sweat. Whereas, maybe you’re

42:27

talking to a person who doesn’t know better, like an MLM. You know, a lot of

42:31

them are amateurs, I suppose, but they’ll they’ll they’ll just stumble on

42:35

their awards, which, you know, case closed. So, I think it’s very

42:40

interesting. Um, I mean, it’s just another day here in here in crypto, I

42:44

suppose, or at least back then when it took place. Um, but yeah, just be

42:49

careful where you put your money, man. Like, there’s a lot of good places to

42:52

put it. I think the best way to tell if it’s a good place is if it tells you,

42:57

you know, no, you’re not going to, you’re not

43:01

guaranteed to make a profit. It’s all about timing. It’s all about you knowing

43:04

what you’re doing. um legal term for it and financial term

43:09

there’s definitely always luck involved but you can always make your own luck

43:12

too definitely um I guess the last thing as part of this topic you mentioned with

43:18

me you shared with me earlier this week that Robin Hood released agents and base

43:24

you know I saw on their Twitter blow up as far as them enabling aic MCP

43:30

connectivity to trade on their app or just on their ecosystem.

43:39

>> So, let’s Robin Hood agents uh trading agents. Let me share my screen.

43:46

>> So, this I’m actually pretty excited about because I want my money to

43:50

automate and move while I am sleeping. Hopefully, not on the downside or me

43:55

losing my money. Um, so this came out a few days ago. Your strategy shouldn’t

43:59

sleep just because you do. And this is my whole selling point or my whole

44:03

belief as well. will connect your AI agent to Robin Hood agentic account to

44:07

explore trade ideas, build and rebalance portfolios, program custom tools, and

44:12

place trades as you strategy. I’m sorry, as your strategy evolves. So, first I’ve

44:19

seen this uh page. So, it’s the first time I’ve seen this

44:24

page. It’s in beta. Uh market access for AI agents available

44:29

now through Robin Hood’s MCP server. So, I’m pretty technical. Like, I

44:35

understand why we need an MCP server, but if it’s so bad, like, like, you and

44:40

I have talked about how bad it is, Leon. Like, why are people still [ __ ]

44:43

building MCPs? That’s the one thing I don’t fully understand.

44:47

>> I think it’s something about token usage or something. Like,

44:51

there’s a reason to it, actually. Like

44:57

>> yeah, I mean the setup for an MCP server is [ __ ] horrible, which I mean it’s

45:01

not any different than most apps I suppose, but or tech, but

45:07

um

45:07

>> yeah. So

45:08

>> go too deep into a rabbit hole.

45:10

>> Yeah. So like um it’s a little bit about tokens but it’s

45:15

also um like universal translator like every API doesn’t you know like APIs

45:22

don’t always describe like what endpoints are there you know you have to

45:25

kind of go and figure them out um and then also MCPs provide a sandbox like

45:31

secure environment for for them um execute code without exposing root

45:36

credentials or breaking compliance and all that. So I think that they’re still

45:40

there, but it there there does require a lot of like technical parts to it to

45:45

ensure you know you can do it and you’re still using an API in the end. It’s just

45:50

setting it up is is hard and you know managing the enterprise security and

45:55

governance is still a little complicated.

45:59

>> Okay. Um

46:03

I don’t like robo advisors. I feel like if you’re just going to give an LLM kind

46:07

of like the market feed and sell that product, I’m like

46:11

I can just do that on ChadvT unless there’s like proprietary data that I

46:15

don’t have access to. Like imagine if the Bloomberg terminal had like its own

46:19

LLM and it tells you everything from whatever you can find manually on the

46:25

Bloomberg terminal, but instead you can access it almost immediately with an

46:29

LLM. Like I think that’d be pretty cool. But um

46:34

>> they just go headless. I think more than than anything all these things are

46:38

turning turning these apps into headless things. Like I think more than anything

46:44

instead of like the new way to interact with anything is going to be a headless

46:49

environment. You’re going to type into a chat thing. It’s going to execute your,

46:53

you know, trades, do all of that. I’m a little less interested in like the AI

46:59

component of it. Like the rebalancing’s cool and all of that, but I I think the

47:03

ability to say, “Hey, uh, I want to buy 15 shares of Tesla and, you know, tell

47:09

it, hey, you know, versus a, you know, before you have to go say, hey, what’s

47:14

the low price? What’s the high price? You willing to do, what’s the slippage?”

47:17

All that you can you can just tell it and then it can kind of give you some

47:20

information, provide it to you, give you an analysis, and then you can say,

47:24

“Okay, great. put an open call out for, you know, Tesla at 5% below market, you

47:31

know, buy it when it can and if it if it drops below, you know, that 5% at 10%

47:36

buy more. You know, like it it’s going to give you the ability to natural

47:40

language communicate versus in the past you had to go do that and it was a

47:44

little complicated. And you know, the reason why Charles Swab is such a good

47:49

trading place is because the [ __ ] interface sucked. Like, you know,

47:54

Fideli’s interface sucks. Like, Robin Hood is such a good interface. I just

47:58

think the next interface is chat. Like, if you can just tell it buy 15 shares of

48:03

Tesla, but buy it at less than 10% on the market and keep that open until June

48:10

31st, like that’s a that’s a great like thing and it just goes and does it

48:15

versus you having to go put all that data into like some weird ass interface.

48:21

>> Yeah. because people don’t want to download apps anymore. Like that’s

48:25

always been the case for a while. Like you say, hey, I I created this app. You

48:30

know, people are like, “Oh, another app.” You know, depending on whatever it

48:34

is. But, um, Headless is very much the new meta. I wonder how long it’ll stick.

48:39

I wonder if it’ll actually last. I think the next best example that I’ve seen is

48:45

Banker. They still have their headless function of it. I mean, when it was

48:49

working because right now it’s still not working. like you cannot make trades. Um

48:53

I mean I think you can with Twitter but I don’t understand. Um they I haven’t

48:57

followed up with them. Anyways um what’s cool is they have their headless like

49:01

you can do their trades on Twitter but you can also do it on on like Telegram

49:06

and then you can go to their app and you can have a lot more functionality there.

49:10

Like I think that’s the approach I’m taking for Mintlock and I think that’s

49:14

the approach a lot of people are taking as well because

49:17

um the accessibility distribution side of it is just very powerful. Everyone’s

49:22

already on chatting interfaces like we talk a lot every day to people that we

49:27

care about. It makes sense you know like building on

49:30

a chatting interface I think is going to be a new meta. I wonder how long it’ll

49:34

last though. I I think it’s going to be the new meta

49:38

more and more. Like Rivian vehicles now have a an AI in it and it’s got an MCP

49:44

that’s running to the car. So like MCPs, Rivian, you know, everybody’s doing

49:50

>> more and more of this stuff. And I think computing is going to change to be

49:54

you’re still going to have websites, you’re still going to have apps, you’re

49:56

still going to have that stuff, but there’s going to be

50:00

an easier ability just to tell the computer, hey, organize all these trades

50:05

or, you know, every single month on the 14th and the 3rd, deposit $100 and then

50:11

buy this this stock. Like that that normally would have required you to go

50:17

set up a recurring deposit and then you would have to go set up a recurring buy

50:20

for that. and then you have to set up another recurring buy, you know, like

50:24

all of that’s quite complicated. Maybe took you 15, 20 minutes. You can just

50:28

type it in and it does it for you in like five minutes. Like it’s going to

50:32

make things easier. It’s just like Salesforce going headless. Like you

50:35

don’t need to go and update all these fields. You can just tell it, hey,

50:39

here’s my meeting notes. Here’s the information on the client. Um, you know,

50:43

move it from a a sales stage to an opportunity. Make a deal. I’m going to

50:49

sell them $15,000 worth of software and it does it in five minutes versus

50:53

something that would have taken you administratively probably 30 minutes to

50:56

an hour to go enter all those fields. So, I think that’s the way for complex

51:01

tasks to to to go, but you’re still going to have those interfaces and and I

51:06

think that’s the cool part like the rebalancing. You know, if you have Tesla

51:09

and Nvidia, maybe you only want to keep so much Nvidia shares because you’re

51:13

hedging against, you know, risk. like rebalancing that. I I’m just more

51:19

concerned about the AI being like the one that’s making the decisions and

51:24

going and buying a ton of GameStop shares and you tell it, you know, to AI

51:29

buy that like at some point you’re going to get burned because the somebody’s

51:32

going to outsmart the AI. Like human ingenuity always can outsmart an AI in

51:38

some capacity.

51:40

>> Can you imag Yeah. No, I agree. Um, AI still cannot think like we can. I don’t

51:45

think if it’ll ever get there. I don’t think Terminator is going to happen type

51:49

future. But, um, you mentioned that AI can be fooled by a person still. Um, how

51:58

do you think this could influence with the

52:02

we were talking about Kapow earlier. I think insider trading there could

52:07

influence it pretty pretty significantly.

52:11

if we if there were to be an agent to be trading on similar instruments,

52:16

how far do you think um the damage could be?

52:21

>> I I think we’re barreling towards a great depression sort of problem at some

52:26

point. Like I don’t think traditional recessions and traditional depressions

52:30

are going to happen because of how GDP um is less than the interest payment now

52:37

on the US debt. Like I think it’s a hard mathematical equation for that. But I

52:42

think at some point these AIs and all these tools could possibly

52:47

just accident crash crash stocks, crash shares. Like for example, if everybody’s

52:53

betting on Microsoft and everybody’s using similar models and all of a sudden

52:57

micro Microsoft reports bad earnings but their their future, you know, their

53:03

future look, you know, on all the description looks really good. You could

53:08

see all these robots just buying up Microsoft and shooting it up to values

53:12

that it shouldn’t be at when you know they’re then same thing on the opposite.

53:19

>> Bless you.

53:20

>> Thank you. I I just think there’s a lot of risk on that side at some point. Like

53:24

I don’t fully understand it, but I I see that there could be problems in the

53:28

future.

53:29

>> Yeah. I mean, I guess we’ll find out, but I’m just thinking ahead. I’m like,

53:35

yeah, we’re probably not at a good point for letting an AI do all the trading. I

53:39

don’t know how autopilot is doing it. They have the claw only

53:44

agent handling all their trades. They put a 50 They put 50,000 on it. They’re

53:49

pretty much up at this point. Um, but it’s still a person handling it.

53:56

like it’s not the AI doing everything on its own, but just having the person kind

54:01

of be the middleman between the AI executing on the traits. Um, I wonder

54:05

how that’ll go. I think AI trading is going to be a pretty big deal. Maybe the

54:11

next big thing is going to be someone who enables aic trading tools. I I think

54:18

at some point we’re barreling towards like I don’t know if you read sci-fi or

54:23

watch sci-fi the foundation on Apple TV how they have a society that’s highly

54:28

advanced but they ban AI they ban robots you know because there was an uprising

54:34

out there like I could see at some point AI becoming

54:39

like we love AI but if you go out to any of those commencement speeches you go

54:44

out to anyone in the real world AI is a no. It’s a devil. It’s bad. It’s there.

54:49

I think a majority of people that I know that are not in tech are like, “No, I’m

54:54

not going to use AI. No, like that’s it’s a bad I don’t want to use it. Like

54:58

I don’t want data centers. I don’t want this.” Like I I can see a point where

55:06

some people get stuck in a an economy that is just different from where we are

55:11

at. But also, I could see that there could be at some point

55:16

laws and regulations against using AI with trading and all this stuff at some

55:21

point if there’s some sort of crash like this is the wild wild west of it and I

55:27

think we should take advantage of it and we should use it but I’m fascinated to

55:30

see where this stuff happens cuz yeah claw portfolio is up 14.6%.

55:36

um $18 million currently invested. That’s a small hedge fund. But if you

55:41

have $200 million moving all together with AI, you could very quickly [ __ ] the

55:48

market if everybody dumped $200 million of of it. It they become one whole well

55:55

moving together. Imagine, you know, somebody, you know, like Micro Strategy

56:00

and then all these people following Micro Strategy. If there was billions of

56:04

dollars following Micro Strategy very quickly, Micro Strategy sells and

56:08

somebody else sells, that’s that’s that’s a huge market shock.

56:13

Honestly, I think everyone in the entire like all the AI leaders who sold the

56:20

idea that AI is going to take your job, they’re [ __ ] idiots. They should have

56:24

never done that. That is the worst PR you could ever have done. you should

56:28

blame yourself in fact for all this negative PR and negative view that a lot

56:32

of people our age and beyond that have with AI. Like I think that was the

56:37

biggest [ __ ] ever. And I’m actually mad at it because I’m like that’s not

56:40

what AI is supposed to do. Like if you ask me AI is supposed to automate the

56:44

boring [ __ ] I am waiting for the day where I can have an AI or robot,

56:49

whatever it is, do my dishes, do my laundry. Those are tedious tasks I do

56:54

every day that I do not give a [ __ ] about. I only do it because I have to.

56:58

Um, that is my whole thing with AI. And you know what? If it still replaces a

57:03

maid, I mean, so be it. It does a greater good. It helps people do boring

57:08

chores a lot more. But you shouldn’t sell it by saying, “Yeah, this is going

57:14

to replace people. Unemployment is going to reach 10% and above.” Like, no, dude.

57:18

Nobody wants to hear that. It it’s it’s just like there’s um there’s now data

57:23

showing that tech hiring is increasing, but it’s not from just tech companies.

57:27

It’s from all sorts of companies that now need technology people. It’s just

57:31

like uh IT providers became a big thing because every single office has, you

57:37

know, uh wires to to deliver the Ethernet, every computer, you know, is

57:42

connected to a network. There’s security, you know, now you need IT

57:45

companies. I think the same way that there’s going to be more agencies doing

57:50

you know dev work. There’s going to be more people doing this development. It’s

57:54

going to look totally vastly different than what you know you were doing even 5

57:58

years ago but it is still going to be a white collarish job. might not be paid

58:02

as as highly just because it’s going to be um lower barrier to entry, you know,

58:08

but um

58:09

>> for sure

58:10

>> I I do think that all of them sold everybody a thing like I think Sam

58:15

Alman, all these people believe AGI is going to solve this stuff and I don’t I

58:20

don’t think it’s going to happen.

58:22

>> Nope, I agree. Um

58:25

>> I don’t know. I have very political strong opinions. Happy to talk more

58:29

about it maybe next episode depending what the market is at. But yeah, I mean

58:35

I think this is pretty much everything for the for today’s episode. Um, let us

58:39

know what you think. Subscribe to the channel if you already haven’t. We’re

58:42

going to come find you. Make sure you subscribe. If not, let us know why you

58:46

wouldn’t subscribe, dislike it, whatever. We have the dislike button. Or

58:50

is it still the move? Okay. Dislike it if you dislike it. Like it if you liked

58:53

it.

58:54

>> All right. But yeah, thanks for watching.

58:56

>> All right. Bye.

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