Welcome to Episode 28 of the Social Ledger Report! Join J.R. and Leon Hitchens for a sharp dive into the markets, the AI hype cycle, and major financial news.
Hosts:Ā
Jesus Burgoa (JR), Founder & CEO of Social Market
LinkedIn: https://www.linkedin.com/in/jesus-rafael-burgoa-b34874170/
Website: https://jrburgoa.com/
Co-Host:
Leon Hitchens, CMO of Social Market
LinkedIn: https://www.linkedin.com/in/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
YouTube:
Podcast:
Hosts:
Jesus Burgoa (JR), Founder & CEO of Social Market
LinkedIn: https://www.linkedin.com/in/jesus-rafael-burgoa-b34874170/
Website: https://jrburgoa.com/
Co-Host:
Leon Hitchens, CMO of Social Market
LinkedIn: https://www.linkedin.com/in/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:Ā https://www.youtube.com/@TheBoostChannelĀ
Key Market & Tech Takeaways
- Bitcoin & Market Fear: Market sentiment is currently “Extreme Fear.” Bitcoin has fallen below the $100,000 mark, trading in the $93,941-$95,900 range. The hosts suggest Dollar-Cost Averaging (DCA), noting a potential floor at $\$84,000$. Historically, BTC has soared up to 700% after past government shutdowns ended.
- MicroStrategy: The company remains a massive holder with over 640,000 BTC (3% of the total supply). Despite market dips, its stock (MSTR) is up 26.1% Year-to-Date.
- The AI Bubble: The industry is described as an “inbreeding market” due to intense cross-investment among giants like Nvidia and OpenAI. A recent MIT Report indicates that 95% of Generative AI projects fail to deliver ROI. Nvidia is the biggest winner, providing the essential chips.
- AI Model Race: Google’s Gemini is gaining favor over OpenAI, primarily because of its superior ability to render JavaScript fully, allowing it to crawl the modern web more accurately.
- Hype vs. Value: The hosts stress that value, not novelty, wins; consumers are only engaged when AI delivers real outcomes, like automation and friction removal.
- Sam Altman Bailout: His request for government debt relief for OpenAI was heavily criticized as “corporate socialism.” The hosts argue that taxpayers must receive significant equity in return for any bailout.
- NFT Bubble Burst: The hosts note the tragic decline of the NFT market, with collections like Invisible Friends and Bored Apes seeing values plummet from millions to a mere fraction of their peak.
Resources:
1. Market Overview
- Credited sources: https://t.co/fZ5CiynmXP (from post [post:10])
2. Bitcoin $95K
- Credited sources: https://cryptoslate.com/bitcoin-tests-the-95k-hodl-wall-after-cascade-knocks-out-655m-from-bulls/ (from posts [post:21] and [post:22])
3. Strategy Bitcoin position
- Credited sources: None directly external.
4. Government Shutdown
- Credited sources: https://bitrss.com/u-s-government-shutdown-impact-on-crypto-liquidity-analyzed-146992 (from post [post:1])Ā
- https://cointelegraph.com/news/house-reps-vote-end-government-shutdown (from post [post:8])
5. Crypto bubble + AI bubble
- Credited sources: None directly external beyond post contexts.
6. Sam Altman asking the gov for bailout
More shares of the bailout video discussion.
- Credited sources: https://www.youtube.com/watch?v=beDspJEBa1Y (multiple posts linking to Jimmy Dore video)Ā
- https://rumble.com/v71jbue-openais-sam-altman-already-looking-for-a-government-bailout.html (from post [post:44])
Connect with Social Market
- Like and subscribe to follow future episodes!
- Let us know what you think in the comments below.
See you next week for Episode 29!
0:00
Hey everyone, welcome to Social Ledger Report. This is J.R., founder and CEO of
0:04
Social Market. And my name is Leon Hitchens. I’m the
0:08
chief, we’ll get that one right one day. The chief marketing officer here at
0:12
Social Market. Yeah. And this is Social Ed Report, uh,
0:16
episode 28. So, welcome to another episode. We actually have quite a few
0:20
things to talk about. I know we’ve gotten some feedback from the last few
0:23
episodes. So, first of all, thank you all for, uh, it’s more positive. So,
0:27
thank you all for watching. Thank you all for sticking with us this week.
0:31
We’re actually going to talk a little bit more about the market sentiment.
0:34
Like the AI bubble is possibly bursting. The government shutdown actually opened
0:39
again. So, we’re going to talk about some more development stories on that.
0:44
And then Bitcoin actually fell down 100,000. So, that’s kind of interesting.
0:50
959 right now. 959. Wow. Yeah. So, 9,000 95,900. Um,
0:57
and then Sam Otman is possibly asking the government for a Bella, which I have
1:01
mixed feelings on. In principle, I don’t agree with it, but we’ll talk more about
1:06
that here in a moment. But before we continue, uh, just to stop you there,
1:11
make sure to like the video if you like it, subscribe if you want to follow
1:14
these kind of episodes, these kind of, uh, content that we’re delivering for
1:18
you, dislike if you dislike it, just let us know what you think overall. But with
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that being said, um we’ve actually been doing some development on the app. A lot
1:27
of development I should say. And we’ve talked to some customers that have
1:31
expressed like, “Hey, this is like GTA 6, you know, it’s taking so goddamn long
1:35
to release this. Like, what’s happening?” And I’m like, “Dude, we’re
1:37
literally rehauling, overhauling the entire thing.” Anyway, so uh this is me
1:43
going through the app right now. So, I’m going to log in, which if you’ve seen
1:46
past episodes, you would see that you could just kind of access the app and be
1:52
thrown into the market section. But now you’re thrown into the wallet section.
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And this is one of my personal wallets, by the way. So, um, just don’t take my
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money. So, if we go into the market Oh, you got some world coin in there. I
2:04
love that. I do. I have a lot more. This is kind of
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like me playing with it. Uh, my personal account.
2:11
Okay, so let me be clear. This is my developer personal account, which is
2:15
separate from my main personal account, which is where I have like I have at
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least 200 World Coin, but um that’s just me putting my money there. Man, we
2:24
should probably for future reference talk about like this is where we’re
2:27
putting our money. Like I have 200 World Coin. I can I wouldn’t mind showing you
2:32
guys what my personal bags are. And I don’t know if you would feel the same,
2:35
Leon, but just to show you all like this is our investment strategy. It’s not the
2:40
most extravagant. It’s not like Wall Street level, but this is how we make
2:44
money and maybe you can like learn a thing or two.
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So, I’m down. But honestly, most of mine’s
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pretty pretty basic. So, down to show it.
2:56
So, side note, tomorrow in as of recording this video, November 17th,
3:01
Monad is releasing its layer 1 Ethereum based. Well, it’s layer 1, but it’s kind
3:07
of interesting. Most layer twos are Ethereum based, but this is supposed to
3:10
be Ethereum based as another layer 1, which is really interesting. So, I’m
3:15
actually putting a lot of money there and um you guys should check it out. Uh
3:18
not investment advice, right? So, you go into the markets page and this is where
3:23
you can kind of see everything. I’m running this as a local instance right
3:26
now. So, this is not available yet. It will be available tomorrow, November
3:30
17th. Anyways, so this is the market overview here. And yeah, dude. Temp
3:36
extreme fear right now. I wonder why. And it’s still Bitcoin season.
3:42
Inflation’s at three. Yeah, like
3:45
it it ties all to this government shutdown. So liquidity is what’s exiting
3:49
the market right now. Um I’ve got somewhat of a highle overview of this.
3:54
I’m, you know, not an economist. I I I did do some shorts on Bitcoin when the
4:01
government shut down. Really? Um, yes, not a ton. Um, just a
4:05
little bit playing with it. I it paid off. Um, I’m doing some some um calls
4:12
right now. I think, you know, essentially I think Bitcoin and all this
4:15
is going to go up. However, market sentiment matters more than what’s
4:20
actually happening and and that fear and greed index super important like
4:25
essentially and this is my understanding on it Jr. is um we had like essentially
4:33
potential growth. Government shut down so stuff wasn’t getting approved, things
4:37
weren’t moving forward. And then oftent times when government shut down all
4:41
that, people go to safe assets. Gold is an example of that. Um
4:48
you also have like TGA trains. You’ve got, you know, rate cuts coming. There’s
4:54
ETF approvals all all in the the push, but everybody kind of hit that under
5:01
100K and that fear is what what drives it. If the market sentiment is that
5:07
things are not going well, then things are just not going to go well. That’s
5:11
generally how it how it works in the end. And the other part that I think is
5:17
playing a big part of it is perpetual, you know, per like the ability to bet on
5:23
one side of the market. The more pressure you have on shorts, the more
5:27
that, you know, this this market’s going to go go down. I don’t think that people
5:32
are going to keep shorting this. Like you could short it, you know, maybe it
5:36
hits 90,000. Um, but like you’re only going to make a few extra thousand
5:41
unless you’re leveraging really high. And if you’re leveraging really high and
5:45
and you’re going like that, you you have to know something’s happening and I
5:49
don’t know if something’s happening. Uh it’s like, you know, right there,
5:52
Microsoft strategy, you know, they’re still buying Bitcoin
5:55
strategy. Yeah. So,
5:58
let’s talk about strategy actually. Where where does that feed from?
6:02
Where does that feed from that is still called Micro Strategy?
6:06
Uh Trading View. Uh a [ __ ] Well, I can click on it, I
6:12
think, but I’m just curious if um
6:15
Damn it. So, it broke on me here on live. That’s kind of
6:18
because you’re on local. I am on local actually, so that’s why.
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But um it’s pulling all that data from Trading View, which is publicly
6:26
available. Anyone can use it. But I just wonder if they haven’t changed
6:29
their name on there or what what’s the
6:32
Yeah, why they have the new logo. Look, here it
6:35
is. So, Micro Strategy right below $200 their stock. But yeah, I mean it’s it
6:41
doesn’t work on my local. It should work on actual production app.
6:45
So, I just looked it up. I wonder if it’s because the ticker is still MSTR
6:50
and that’s a good point, dude. Wow. That’s the reason I was just more than
6:55
anything curious um out there. Yeah. Yeah, that’s a good point. Um
7:00
wait, so I’m a little conflicted. Damn, I’m seeing all the discrepancies
7:06
here in the app now that I’m developing it and I’m kind of embarrassed, but
7:09
screw it. We’re going to roll with it. So, um, Bitcoin
7:14
and Micro Strategy, they kind of overlap, right? So, let’s talk about
7:16
Bitcoin. It’s according to this 93,941. How bad how here’s my question, Leon.
7:24
How bad are your bags impacted? Are you like
7:27
most of my stuff is in the core ones? my I’m mainly in Bitcoin, Ethereum,
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and um a little bit in Salana, you know, just cuz I I cashed out of Litecoin
7:38
thinking Litecoin was going to, you know, do something at some point. But
7:43
this is this is very interesting, dude. Market activity shows a lot of
7:49
[ __ ] are selling. Some are buying. Some are buying like a
7:54
large amount, like $1,410 like not that long ago. This only pulls
8:00
most recent data. A lot of them are buying in I mean it’s kind of a mixed
8:05
thing. I would just buy, dude. This is probably
8:09
like I don’t want people to think I’m telling you what to do when it comes to
8:13
this stuff, but like I’m I’m going to be buying Bitcoin
8:17
recently just because I mean anything below 100,000 I think
8:22
it’s it’s affordable. Even Michael Sailor himself says buy Bitcoin. But I
8:27
don’t want to be that guy. I don’t want to be known as that guy. I want to be
8:29
known as the guy who is like transparent.
8:32
Yeah. I think so. What all the analysts are saying right now is it’s going to
8:36
hit probably a bottom of 84K. Um
8:39
Okay. I think in the long haul what most
8:42
people should be doing like don’t go [ __ ] mortgage your take a second
8:46
mortgage on your house and dump you know money into it. But right
8:49
take some cost averaging. Right now is a prime opportunity. You got an extra 5k
8:53
that you were like I was going to invest. Buy some Bitcoin. Like I think
8:57
on the long term Bitcoin is gonna do really well. I don’t know if it’s going
9:02
to be a million dollars. I still like I still don’t know if I believe
9:07
that. I also don’t know if I believed 100K back in the day. Like I I think I
9:12
was a little skeptical on all this. But I think on on the part of it, it’s going
9:18
to keep growing. It’s it’s only going to get more rare. it’s only going to get
9:21
harder to compute um without you know some government intervention like I
9:27
think this is going to go go up um you know they’re talking right now about
9:32
zero tax on crypto companies like there’s so many things that could push
9:36
for this I think just you know you’ve got a market sentiment and a selloff
9:40
that’s happening at some point Micro Strategy Strategy is
9:43
going to have to liquidate their crypto too like I don’t know what their bottom
9:47
or their their mark price is I think they bought on March margin and equity.
9:51
And if that equity, you know, if it’s equity, I bet you that they probably
9:55
have to be at like 30 40,000 a coin to to have to liquidate. So, they might be
10:01
safe. But man, some of these other ones out there, I wonder if companies bought
10:05
on margins or bought on loans and like essentially if you lend out on Bitcoin
10:10
at some point like all these loans on Coinbase are going to be margin called
10:14
and you’re going have to you won’t have enough to pay the interest. you’re going
10:17
to have to liquidate and that could be a bigger problem for the market.
10:21
Yeah. So, we were going to talk about Micro
10:25
Strategy here in a moment, but I think it was good to kind of set the the
10:29
precedent with Bitcoin in mind because we all I don’t know if everyone knows
10:34
like you, the audience, but strategy by Michael Sailor is really just aping
10:40
Bitcoin. It’s kind of like some crypto bros on Twitter saying like, “Hey dude,
10:44
let’s just buy this crypto and then make it a whole entire business.” I don’t
10:48
know what strategy was or micro strategy was before Bitcoin, right? I don’t have
10:53
that familiarity and and a lot of people might not know either just because they
10:57
came to the front of the stage by saying, “Hey, yeah, we’re buying
11:00
Bitcoin. That’s our entire strategy.” Um, but I asked Grock like what’s the
11:06
whole thing happening right now with Micro Strategy Strategy’s position now
11:10
that it fell down 100,000 because as you may already know Strategy and a lot of
11:14
crypto companies bought Bitcoin when it was on the top. So it’s down not
11:19
massively but it’s still down and the fears according to the index of fear and
11:24
greed if you look here in the markets it’s possibly going to go down even
11:29
further you know just because people are going to continue to sell. So I asked
11:33
Grock about it and it says Micro Strategy’s aggressive Bitcoin
11:37
accumulation was a hot topic which again we already said that with updates on
11:40
purchases holding reachings about or its holdings reaching over 640,000 bitcoins
11:48
3% of the entire goddamn supply and strategies like preferred stock issuance
11:53
for funding postclarified not selling despite wallet moves with yields at 26.1
11:59
year to date and potentially for more buys. So, I mean, it makes sense. They
12:06
haven’t taken a a huge loss, it seems, because they’ve been buying Bitcoin for
12:09
a a while now. Even year to date, it’s up at 26%. Yeah. So, strategy Bitcoin
12:16
position, it’s kind of interesting. Um, I don’t know what else to talk about
12:20
that. I don’t know if you have any other thoughts on that.
12:23
No, I more than anything, I’m worried where Bitcoin goes. Like this could be a
12:27
pivotable moment for what the United States is doing for crypto. Like maybe
12:33
Bitcoin doesn’t become like the great the greatest. But also like this could
12:37
just be a price correction. Like maybe Bitcoin never was meant to be at that
12:42
price, you know, like this could be a market correction on where the sentiment
12:46
is right now. Like maybe we hover around 90 to 100K for for you know a few years
12:52
just like what Bitcoin did in the past. It went
12:55
all the way to what 50 60 grand back in the day and then dropped down to 20 and
13:00
stood at 20 forever. You know, like right
13:03
we could see something like that happening right now. Maybe 100K wasn’t
13:06
wasn’t where the price needed to hold and you know we could have a a sliding
13:12
scale, you know, over the next couple of years and then all of a sudden it goes
13:15
to 200K. Um I think that’s more possible than Bitcoin going low and staying low
13:21
for forever. um money is getting pushed into it. I think liquidity after it hits
13:27
with the government shutdown, it’s going to take a little bit of time, but there
13:30
is a chart on X and I did I send that to you?
13:33
Okay. I don’t think so. Um
13:36
no, I didn’t get it. You may want to pull it out for us.
13:39
Find it. So, this is what I what I what I saw out there is the last two times
13:43
the government shutdown ended, Bitcoin ripped 700 and 300%.
13:47
This is a possibility that could happen. Like history repeats itself often. Um,
13:53
we’re right right here, you know, every time liquidity exit the market. And hey,
13:58
man, if we get STEMI checks, like most people below $100,000 could get a a
14:04
stimulus check. Um, I don’t I don’t know if if I’ll qualify in there. Like I hope
14:10
that there’s a higher limit for married married uh couples. Um, but if I get a
14:14
Steammy check, it’s going straight into crypto again. Like I could also see that
14:18
happen with a ton of people. So if if the government, you know, the government
14:22
gets back to the normaly, doesn’t invade Venezuela or, you know, start some other
14:28
crazy thing happens in the world, um, I could see Bitcoin flying. Um, I could
14:33
also just see Micro Strategy using this as an opportunity and buying a [ __ ] ton
14:38
more crypto and knowing something that none of us know. Um, but it’s kind of
14:42
yet to be seen. like this this crash is happening over the weekend. So, it it’s
14:48
an interesting part, but I I believe this chart
14:51
is a history repeats itself moment. You know, in some instances, I think the
14:59
and this is the tricky part. Crypto markets are open every day of the week
15:04
and stock markets are only open uh during the week. So, what I’ve noticed
15:10
is sometimes um just ETFs, indexes, they’ll usually perform almost in
15:17
parallel to how crypto performs. Usually, Bitcoin.
15:22
Um I have this position. I’m following inverse Kramer index. I’m using
15:26
Autopoly, by the way. Not an endorsement. I wish just because I
15:29
really find the product pretty cool. Um it’s down like 10%. Uh or excuse me,
15:34
it’s down $10, which is like a very small amount. It’s like about 1 2%. But
15:39
you know, it’s it’s not doing too well. You know,
15:44
I thought it would have been doing better. But,
15:47
um, man, fear right now is every isn’t is in everyone’s mind. I think it’s
15:52
really interesting how massive this government shutdown was. Not just for I
15:56
mean, obviously, it’s very detrimental for the workers, and this is where I
15:59
feel really bad for it. I know people who actually work in the airports. one I
16:04
don’t know what the name of the position is but um you know uh one of my my
16:09
fiance’s co-workers uh has a husband who controls air traffic I’m not sure the
16:14
name of the position and his job was impacted because the government shut
16:17
down I think so
16:18
okay yeah okay so thank you so man he wasn’t getting paid for like 43 days or
16:24
something so I think that’s how long the government shutdown was 43 days
16:27
yeah it’s the long longest in history beat Trump’s other one like
16:31
you know in some ways the Democrats That’s,
16:35
you know, they might have been winning politically in some views. Uh, but, you
16:39
know, in inevitably they they lost and caved and didn’t get what they wanted
16:43
and like they were hurting real dude.
16:46
Yeah. They were hurting real people to have no no win. I think you know that
16:52
in my view they’ve lost the plot. Um, they did
16:56
and and I think that impact’s huge. It’s not just about you know there like
17:00
there’s a ton of people that work for the federal government. It’s the largest
17:03
employer in the United States. There was so many people not getting paid. The US
17:08
military wasn’t getting paid. Some police, you know, the federal government
17:11
police weren’t weren’t getting paid. Like there there’s just I I think we’re
17:17
going to see this market rebound and sentiment go into good into a better
17:20
spot. I want you know Disney just stopped fighting with YouTube. Like
17:25
there’s so many little parts here that on the macro and micro level uh YouTube
17:31
uh and Disney weren’t weren’t you couldn’t view Disney on YouTube TV.
17:36
Oh, I didn’t know that. Dude, first of all, [ __ ] this.
17:38
Is that a rock? I’ve been on top of you.
17:42
Oh, kind of. Yeah, it’s it’s pretty massive
17:45
right now. It’s not the only massive thing. I’ll tell you that much.
17:49
that that Bitcoin turbulence, you know, there there’s a bunch of outflows, alt
17:53
rallies, you know, we’ve got tariffs, like there’s just so many things
17:57
happening that it it in some ways we could be a little
18:02
bit in the bubble hype. Like, you know, I know we wanted to talk about AI
18:06
bubbles here, like there’s a Wall Street skepticism of crypto in some ways.
18:12
They’re now adopting it. like this is the first time that they’re going to
18:15
revolutionize the financial system, but it took crypto better part of 10 years
18:19
to get here, you know, like it really did.
18:23
It it’s been a long driver there. Trump inevitably was the one who made that
18:27
change and what a character to bring that level of change. And the only
18:31
reason is because they all got debanked, you know, like they they were we can’t
18:36
have that anymore. Um, so it’s it’s no different than this AI bubble that we’re
18:40
kind of seeing. like we’re seeing a lot of overhyped AI companies and funds
18:46
shift, you know, shift around and and talk about it. Like I don’t know you
18:50
want to start talking about this AI bubble like it is a style bubble in some
18:55
ways. There’s this chart that I shared with
18:57
you that I um it famously became popular on Twitter.
19:01
At least that’s where I think the original
19:04
uh post came from. Now, let me see if I can pull it out real quick. Well,
19:09
couldn’t find it on Twitter, but I found it on Instagram. Some of you, the
19:13
viewer, might be able to, if you’re watching this on YouTube, this is kind
19:16
of how it looks like. But if you’re watching this on audio, let me just
19:18
explain a little bit. So, here’s how the eye bubble has been created. You have
19:22
literally circles, like big circles that have like all these different arrows
19:27
pointing to another company. As far as the involvement, there’s different
19:32
colored, you know, arrows here. Like there’s one for hardware or software,
19:36
there’s one for investment, there’s one for services, and another one for
19:39
venture capital or like investments. And those are just like different
19:42
associations within every bubble or every company that is represented in the
19:46
bubble. So, Nvidia and you know, this is probably the biggest winner here because
19:52
it built the shovels. Um, I saw somewhere, and this is a side note, I
19:57
saw somewhere that I think it was a YouTube video.
20:01
While Nvidia is probably profiting the most, it’s the most profitable company
20:05
right now in the world. It’s about 5 trillion. It says here 4.5 trillion, but
20:09
I think this is a bit outdated. $5 trillion. It’s how much it’s worth. They
20:14
actually put in a lot of money according to this chart. They put investment
20:18
capital on XAI, on Figure AI, Mistral. Um and then they also gave uh kind of
20:26
like a the most involvement here is hardware or software with open AI with
20:32
Microsoft with um well no a lot of them are just using
20:38
Nvidia as a software as software and hardware you know like the chips
20:42
everything but Nvidia gives out an investment to smaller companies like in
20:49
well Intel is not a small one but it gives it to Intel it gives it to NScale,
20:53
OpenAI, and there’s that famous thing that happened where Nvidia proposed to
20:59
give OpenAI a billion dollars in investment or something to that level.
21:03
And then OpenAI came around and gave that money to AMD and then that money
21:07
came back to Nvidia because they were buying chips. It’s a cluster [ __ ] It’s
21:11
an inbreeding market, as I like to call it. You know, these guys are just
21:16
sharing the same fluids, sharing the same money. It’s kind of weird, man. But
21:21
yeah, it happens sometimes like you know obviously if if your largest buyer is a
21:26
you know uh somebody that you work with often like investments should flow back
21:31
and forth to you know make it make sense but this seems like just a little bit
21:35
too much like yep
21:38
what happen if open AI fails and there’s a there’s a strong possibility that
21:43
they’re not the ones that are going to win like anthropic is crushing it Gemini
21:47
right now polymarket I don’t know if you want to pull Poly market. Go look at the
21:50
best AI right now. I bet you it’s Gemini or Enthropic.
21:54
Um Oh, maybe Grock shows up in the list,
21:57
but which company has the best AI model end
22:00
of year? Dude, I was looking at I was looking for
22:04
this market like earlier this earlier this week and I couldn’t find it. Is it
22:08
like just new? Uh you know, I don’t I don’t know. Um
22:13
let’s see which company has the second second best. Okay. So you got go back.
22:19
Go back one. What do you mean like back?
22:23
Go back a window. Yeah. Hit the first one. U or largest company. No, no.
22:27
Largest company. Can you search AI one more time? Oh, no. That’s the the one
22:32
down there. It’s the which company has best AI model in of 2025. I want that
22:35
one. The fourth one down. Got it. Yeah. So it’s this one.
22:39
Yeah. See, like right now Google’s winning. Gemini has gotten actually very
22:43
good. And and one of the reasons I actually believe Gemini’s gotten really
22:47
good is because they they render JavaScript.
22:49
Uh what do you mean? So when their crawlers are going to the
22:53
web, some of these other crawlers like OpenAI will not render JavaScript from
22:57
my understanding. But Google, can you explain to me in Crayon eating
23:01
terms just for the viewers, they render the code fully. So most of
23:05
the websites are built in what’s called JavaScript. They’re like React. It’s the
23:09
code back end. Most of that code does not render the text normally. It doesn’t
23:14
show the text to the crawler in the code.
23:17
Google and Anthropic, I believe, both render the the actual code of
23:22
JavaScript. So, they’re able to see the website like a human can see it. That’s
23:26
the best way to compare it. And I think that’s why they’re winning. One of the
23:31
studies that recently came out was OpenAI’s data when it was crawled from
23:36
the internet hallucinations like got cut like by 80 90%.
23:42
Jeez. But the training data was what what it
23:45
was a research thing. The training data out there that was fed into like chat PD
23:50
was actually what was causing it to hallucinate. But real life data
23:54
helped it not hallucinate. So, I I think there’s there’s a real possibility that
24:00
like Open AI could just go belly up at some point if their model just is not as
24:06
good. And man, Google’s crushing it. Anthropic’s crushing it in in some way
24:11
XAI is really doing good. I think in a different kind of sphere of what Google
24:16
and Anthropic are trying to do. Um, I think they’re much better for current
24:19
events and, you know, all of that. But Gemini has access to all of Google’s
24:24
first party data and that data is valuable. They can read every email that
24:29
you do. They can, you know, see where you search like that. That that’s
24:33
something that that OpenAI is starting to get where you
24:37
you connect all your connectors and it’s feeding that data, but I don’t know if
24:40
it’s training off that data. You know what’s interesting? Um,
24:45
Birkshshire Hathaway, what’s his name? Um,
24:48
Warren Buffett guy. Thank you. Warren Buffett himself.
24:52
What’s that? You just called him rich guy. I love
24:55
that. Yeah, dude. I mean, uh,
24:57
as soon as you said it, rich guy. I was like, “Oh, Warren Buffett.” That or or
25:01
Jeff Bezos or the trillionaire Elon Musk. There’s only a few of them.
25:05
There you go. Pretty much. So, this [ __ ] guy, dude,
25:10
Warren Buffett, he actually sold his stocks on Apple to buy Google. Well, not
25:16
for that specific reason, but I think he sold Apple not that long ago, but he
25:21
instead is betting on Google. That’s kind of crazy. Is Google undervalued?
25:25
I I you know, in some ways, I think they could be everybody. Can you look up
25:29
their stock price right now for me? Um, since you’re you’re driving, sorry.
25:33
Um, yes.
25:35
I think there was a fear for a second when chat GPT came out.
25:39
Um, can you do it like six months or year to date? Year to date?
25:45
Yeah, they’re up still up 40 [ __ ] five
25:48
though%. Yeah, but there was a second for
25:52
everybody that Google’s cooked. They’re they’re over chat GPT is going to crush
25:57
them. And I don’t think that’s the case. I think everybody is not going to chat
26:02
GPT. I use chat GPT daytoday. I actually mapped it as a as the little action
26:07
button. My action button now does um chat GPT. But I think what most people
26:13
are doing is using AI mode in Google. They’re doing the AI overviews. They’re
26:18
reading that. They’re that’s their interaction with it because behavior is
26:23
that totally go for it. Um, so I know what you’re asking.
26:28
I know what you’re saying. Well, I was just using that myself. I asked Google
26:35
MIT Well, I don’t I didn’t ask it, but I looked up MIT report on AI investing
26:39
because I wanted to talk a little bit more about the bubble. And this is me
26:42
using Google AI overview initially. Yeah, because it gives you the best of
26:48
both worlds. I think where chat GPT fails is it doesn’t give you all the
26:53
links. You have to like kind of press a little thing. Half the time it isn’t in
26:57
the right one. Google’s like, “Oh, no, no, no. We’re still surfacing your
27:02
information.” And again, it’s crawling the web and looking at websites like you
27:06
and I would look at it versus I believe chatbt is not doing that my
27:11
understanding of it. So the the the amount of data and the amount of
27:15
websites that are built in JavaScript and React
27:18
are are a majority of sites these days like you know like they’re all out there
27:23
or they interact with it somehow. The data that they’re probably getting by
27:26
seeing it as a human versus seeing it as like a crawler is is massive.
27:33
Yeah. So AI uh and what was it? OpenAI, they got in trouble with Reddit because
27:40
they were crawling all of their data and you know Reddit is trying to sue them.
27:44
Google doesn’t have to [ __ ] do that. It literally and this is the monopoly
27:47
part. They’re never going to admit it. But they control almost all the data.
27:52
They can access it at will if they need it, right? And this is where they train
27:55
their models. And that’s amazing. I guess that’s why I mean it was Bard the
27:59
first iteration of Gemini which Bard sucked like every other product that
28:04
first [ __ ] name also I kind of like it that’s just the AI
28:10
what’s the um the DND part of me cuz Bard is like a class where you’re kind
28:14
of like so so that’s the only reason why I’m
28:16
like I think it was a cool name but to a normal consumer it’ be like what the
28:21
[ __ ] does that mean what is this which I was also funny enough agreeing with you
28:25
there initially But now it’s Gemini and it’s a it’s a
28:30
nice name. It kind of conflicts with me when I look at Gemini on Google and I’m
28:34
trying to get into the Gemini exchange on crypto. It pulls up Google Gemini
28:39
first and then Gemini Trust. But uh to your point, yeah, it’s it’s gone a long
28:45
way, dude. Uh Gemini is very likely going to be the best model
28:51
for a little bit of for quite some time. And here’s the thing, foundational
28:55
models are extremely hard to make because they require a lot of data. They
28:58
require a lot of iteration, a lot of training, a lot of capital. You need a
29:03
lot of infrastructure for that to train the model. It’s incredibly hard. These
29:07
companies can do it. They have almost the entire money that a an AI startup
29:13
would would need. But talking about AI startups, um I wanted to just read this
29:18
report and kind of just close this off with the AI bubble thing. So this is
29:22
from MIT which some of you may have already seen. I’m not going to read it
29:25
all. It I’m going to read the first paragraph which says a recent MIT report
29:29
fund excuse me found that 95% of companies failed to achieve a return on
29:35
their investment in generative AI with only 5% of initiatives reaching
29:40
production deployment with sustained value. The primary reason for this
29:43
include a lack of clear use case, failure to customize solutions for
29:48
specific business problems, and a preference for internal development over
29:53
external partnerships. Companies that partner with AI vendors or focus on
29:58
narrow well-defined uses use cases like customer support or coding assistance
30:02
are more likely to to see success. And this is kind of like what you and I were
30:06
talking before this call. we were kind of so first of all we’re raising for
30:09
start for for social market and we’ve kind of run into this problem where
30:13
we’re a foremost a crypto company and also a um security company now I mean
30:19
we’ve kind of pivoted quite a bit more than a lot more than we’d like to admit
30:23
this year um and it’s all just based on the markets right we’re pretty flexible
30:27
but also we use AI VCs some angels that we’ve talked to
30:34
they want to see AI in a more specific kind of way. Uh I don’t want to mention
30:40
any names, but we’ve talked to some people who’ve raced who who have raced
30:44
successfully and their use cases are very explicit. AI for real estate, AI
30:50
for notetaking, AI for um prod productivity, you know, if you have the
30:56
name AI on it and you can actually demo the app, which it should be easier now
30:59
that you can vibe code it, um you’re pretty much ahead. And I know I know
31:04
Leon you talked to uh one person who was able to race far easier with talking
31:10
about cryp talking about AI than when they were racing for crypto just a few
31:13
years ago. Oh yeah. It it’s shift like and this is
31:17
why I think in some ways there is a bubble there was a bubble a
31:20
little bit for crypto. NFTTS were never going to take off. Like I think that
31:25
they’re now granded and there’s there’s more use cases for them now. Um just
31:29
like everything’s moving onchain. If you buy a house, you’re going to get an NFT
31:32
that assigns to you. Just like if you have a car, you get a title. That’s an
31:36
NFT. I think there’s some novel uses for that. But AI right now, it’s like you
31:42
you join a a meeting and you’ve got seven [ __ ] um AI notetakers, you
31:47
know? Like this is not sustainable. Like it it’s just not. And there’s market
31:53
corrections. The dot bubble was a totally different thing where there was
31:58
just not companies that existed afterwards. You know, pets.com was a
32:01
prime example and I think that the peak of it,
32:04
but I think this is the same thing. Every single company has added AI. Every
32:08
single company has pivoted. Air Table’s a prime example. They’re like an AI
32:12
company now. And I’m just like, wait, what? Like how? Like they’re building AI
32:16
apps. I think, you know, the biggest win for anybody out there is like Zapier.
32:21
They they were like, you know, kind of the infrastructure for automation and
32:25
now they’re and like we utilize them. If you want anything to work with any
32:30
anything on the internet, you need an MCP server. And Zapier has one of the
32:34
best out there. N8N has popped up that’s, you know, pretty good. Um, you
32:39
know, makes out there, but I think there’s a lot of companies that are just
32:42
building overlays. They say that their stuff’s a gentic, but it’s not a gentic.
32:46
It’s just a chat, you know, overlay. Um, there’s some stuff that’s getting really
32:50
good, but I saw like, you know, many people on Twitter say, “Hey, if you’re
32:55
doing an AI company, you should like innovate on it.” So, if you’re a lawyer
33:00
and your whole company is just run by agents, that’s what people want to
33:03
invest in because it’s just like an AI like a lawyer company. I’m thinking
33:08
think Legal Zoom, but with just all AI. That’s a huge thing. Um, but I don’t
33:14
think that’s going to be the the solve for everything. You’re not going to have
33:16
one employee and like a thousand agents. You’re probably instead of having 10,000
33:22
employees, you’re probably going to have a thousand employees, you know, doing
33:26
doing a lot lot more. Um, what does that mean for people and, you know, jobs and
33:31
percentages like tech just laid off a ton. I think the the economy is trying
33:35
to wrestle with all of that just like the economy wrestled with um what what’s
33:40
happening in 2000 with internet. It was changing everybody’s lives. I just think
33:45
there’s a lot of wrestling with what is happening.
33:49
I think unemployment is closer to two. It’s definitely above 10%. Which is
33:54
insane. We are in stackflation as they call it. Inflation is high.
33:58
Um GDP growth is negative. Unemployment is high. That is
34:02
stackflation. And it sucks. We’re going to feel the effects
34:06
probably next year, dude. I mean, once this bubble pops, it’s going to be
34:10
catastrophic. Um but final note on the whole AI crypto bubble well different
34:16
respective bubbles right so we mostly talk about AI bubble but let me kind of
34:21
just paint the picture a little bit better on how big the crypto bubble was
34:25
which a lot of people don’t really acknowledge because they don’t really
34:28
know much. So four years ago this NFT was worth almost 500 ETH and today it’s
34:35
worth less than 0.1. Yeah.
34:39
And it sucks. I actually like this NFD collection. It’s um Invincible Friends.
34:43
Invisible Friends. Oh, Invisible Friends, not Doodles.
34:46
Yeah, Invisible Friends. I love it. I think it’s great design and everything,
34:50
but just like um Crypto Apes or what the the
34:55
one that’s busted invisible friends. Yeah. So, this is the collection. Are
35:00
you talking about like board apes? Like the monkeys
35:03
board apes? Yeah. Yeah. There you go. Yeah, dude. Man, it’s it’s kind of
35:09
tragic like seeing all of this. I mean, it’s market correction. You’re always
35:13
going to have those no matter what. And that’s what we’ve seen with Bitcoin and
35:17
well, not with Bitcoin, but we’ve seen with crypto. I think Bitcoin is going to
35:20
continue to go high. I don’t know when. I don’t know why or how, but
35:26
the scarcity is a big component to it. You know, it’s more scarce than gold.
35:30
And more people are going to buy it. But yeah, I mean, board apes, these [ __ ]
35:35
things. Um, man, I think and let’s pull up some data actually. So, about or no,
35:41
we can see it right here. Uh, OpenC had a redesign. It’s a little confusing
35:45
right now, but it it’s like you move the forks around
35:48
in your house and you can’t find the forks.
35:52
Exactly. Um, so there’s over 5,000 owners. Half of them are unique, which
35:58
is interesting. You know, I don’t know. Uh, let me know what you
36:03
think on that. only 3.4% are listed and the top offers
36:08
right now is about six E which is about $18,000.
36:13
Dude, I know when people were buying these things for millions and now it’s
36:16
like less than 10% of that which is insane. Um it was a it was a bubble that
36:23
I don’t think anybody Well, I think a lot of people thought it
36:28
was a bubble but I don’t know if any of the people buying it thought it was a
36:32
bubble, you know. You know, this is where I’ve had learn.
36:38
So, I’m 28 and the first bubble that happened in my lifetime was the dotcom
36:43
bubble, but I was like an infant. I didn’t know [ __ ] I was just [ __ ] in my
36:47
diapers. Um, and then in 2008 was the house mortgage crisis or the um housing
36:53
crisis. Yeah,
36:55
I was I was playing le I was playing with my Legos in that time, dude. I was
36:59
watching Star Wars, Clone Wars. I was doing all that stuff and I think
37:04
um well there’s this meme with YC where they’re hiring younger and younger kids
37:09
or you know people which is nice but um there was this viral video that went
37:15
popular on on Twitter where it was um God I think it was like the the kid was
37:20
not no not older than three years old and he was already like talking about
37:24
this is how you can get on YC. How about you first learn how to wipe
37:29
your own ass before you can talk about how to get into YC? But um the point
37:34
here is is you know I think the crypto bubble with the NFT bubble that we saw
37:40
was my first adult bubble where I can be like okay no so this is kind of how
37:45
things are. You know people will this new thing that’s trending will come
37:51
out and then people are going to oversell it. They’re going to think it’s
37:54
going to change the world and it’s going to only go up. That’s how it is. And
37:58
then people realize, “Oh, this thing sucks. It’s not as good. It’s not going
38:02
to solve my problems or it’s not going to make me infinite money.” Boom. People
38:06
sell. People stop selling it. They stop talking about it. It just goes to [ __ ]
38:11
And that’s kind of what we saw with NFTTS. And this is kind of like what
38:15
we’re seeing with AI. You know, a lot of people right now think AI is going to
38:19
replace jobs. You know, there’s this famous article that came out about
38:22
Amazon laying over uh 12 13,000 employees just because of AI. But it’s
38:28
not because AI is going to replace their job. because they were instead
38:32
allocating that money that would go from 13,000 employees or so into their own AI
38:38
infrastructure because they could make more money on the AWS side instead of
38:42
you know putting that money to their employees which still sucks but it’s not
38:48
directly AI is not directly replacing people and there’s still some
38:52
hallucinations I think AIs have gone have come a long way since 2022 but
38:58
I mean one more thing I’ll say is I made this post and it had one like. So if you
39:02
guys want to like it, give it a like. Um, so this is kind of what I talked
39:05
about. I said consumers don’t actually care about AI. They care about outcomes.
39:09
Gen AI, computer vision, automation, robotics, large language models, etc.
39:13
are not the same. Gen AI gets the hype, but automation gets their attention.
39:17
People gravitate to AI when it removes friction, saves times, or handles the
39:22
boring stuff. there is more value more people or excuse me uh value over
39:28
novelty every time. That’s kind of what I wrote and that’s kind of like my
39:33
interpretation what I’ve learned about all these bubbles that we’ve seen where
39:39
you know hype is just not going to last forever. Retention happens when there’s
39:44
value actually given in AI right now. If we can automate the boring stuff, things
39:49
that we don’t want to necessarily handle or don’t care about as much. That’s
39:54
where AI is going to come into use. For instance, we use AI to do market
39:57
research for our next few episodes. It saves me a [ __ ] ton of time. As someone
40:02
who barely has time to eat, sleep, you know, like I’m very sleepd deprived in
40:06
general because I’m working a full-time job. I’m building a startup. I got to
40:10
make sure my dog doesn’t die on me. So, I got to take care of her. I got to
40:13
spend time with my fianceƩ. I got to barely make some time for my friends in
40:17
between. I am so [ __ ] busy. I don’t want to spend more of my time doing
40:20
market research. I rather just be able to get the stuff that matters as soon as
40:24
I can. And that’s where AI comes in. And that’s why I pay for OpenAI. I pay for
40:29
Claude. And I mean, yeah, I I also could pay for
40:34
Nate end to automate some of my workflows. But that’s the general
40:38
message that I want to leave with. We’ll see. Like I think AI is going to have a
40:44
bust a little bit. Some of these companies that are building on top of
40:47
the big ones are going to go away. And I think if some of these go away, you’re
40:52
not going to, you know, like the amount of credits that are being bought right
40:55
now. Like dude,
40:58
it’s just crazy. Like do you want to talk about real quick too the Sam Alman
41:01
bailout? Like I I don’t understand what’s what’s happening there. I just
41:05
know that there was a meme online. Okay. So, real quick, TLDDR, Sam Alman
41:13
came out doing some press releases, some some marketing or not marketing, but
41:17
much more like interviews. Uh, he was pushing for the government backing
41:22
OpenAI’s debts amid shutdown, which it drew a lot of criticism on X. And this
41:29
is I asked Grock like, “Hey, give me some context.” So, I’m going to read it
41:32
for you again. uh people were criticizing uh his him
41:38
asking that on the government to relieve some of OpenAI’s debts, which is
41:42
basically saying, “Hey, bail me the [ __ ] out.”
41:45
Um this was ironic for a tech billionaire
41:49
seeking socialist style aid. So, a lot of and and I don’t want to get too
41:53
political, but it’s a lot of people push this idea that socialism is bad, but
41:58
right now what we’re seeing, and we saw it in 2008, uh we have corporate
42:02
socialism, which means the government will bail you out at no extra cost, and
42:05
they don’t even ask for anything in return, which is just bad business. Um,
42:09
and I have a couple of posts that I can refer to if you like, but um that’s the
42:13
general premise of it. Um, no, that makes sense. And I think, you
42:17
know, if the government does bail them out, they need to take equity. Like,
42:20
dude, absolutely, dude. You know, Bernie Sanders was really big
42:24
on this. And the iron the irony is Trump is the one who who implemented it with
42:30
Intel and others. Like, I think if we bail out any of these companies, us, the
42:35
taxpayers should benefit. Um, the United States is an extreme amount of debt.
42:40
It’s not sustainable. Like, yeah,
42:42
you know, in the end, it’s just not. Um, the only thing that’s backing it up
42:46
right now is the warships that that move around this this world. Um, and I think
42:52
if we want to see this stuff progress, like we can’t let these these private
42:58
companies just take advantage of that, we should probably forgive their debt in
43:03
the end because unfortunately, if you don’t, they could
43:08
go belly up and it’s going to take the whole US economy just like uh 2008. If
43:12
you let these things that are too big to fail fail,
43:16
it would have sent us into like a depression. You know, like the
43:20
government has so many things to stop another great depression and we’re h
43:25
hurtling towards so many problems. And one of them is is if the United States
43:30
dollar just falls, it is a problem. But if Sam wants to be bailed out, he needs
43:36
to give up equity. And he needs to give up significant amount of equity. Um is
43:39
that worth something? Who knows? Like again, open AI is is pushing this
43:45
forward. Like Microsoft is spinning up um nuclear reactors to power data
43:49
centers. Like there is a problem right now with how do they power all this in
43:54
this world. I think it’s very real what they’re
43:59
building. they have in their last reporting or in their last um I guess uh
44:05
town hall if you want to call it that Sam Elman reported almost a billion
44:09
people using open AI you know or chatbt which is like 800 million the specific
44:14
the the exact number around that ballpark that is a real business and
44:18
that is a real amount of traction I wish 8 billion people or excuse me 8 million
44:24
people were using social market right um and the same could be said a lot of
44:28
people a lot of businesses want that many people. So, I think what they build
44:32
is not vapor work. I think they build a very tangible, very useful, productive
44:36
tool, productivity tool. But asking for a bailout, dude, you’re shooting for the
44:40
moon. You need to be ready to have the conversation of like, what can I give
44:44
back to the taxpayers and the government that is going to build me up? Because
44:49
this conversation was very different in 2008 from what it seems. Again, I was
44:52
wiping I was I don’t know, being a kid, right, in 2008. But
44:56
yeah, um
44:56
licking some eating some Legos and snorting uh nickels probably.
45:02
No, dude. I was snorting glue, dude. That was the thing.
45:05
So, explains a lot,
45:06
you know. Oh, absolutely. So, the thing is is
45:11
banks when they got bailed out, they didn’t give [ __ ] back.
45:15
Real quick, uh small small amendment to your thing. Um, the US Treasury did
45:22
disperse like I think like $450 billion. I believe they got like 95% of that
45:30
money back. Wait, what do you mean?
45:33
They they were repaid on that those bailouts.
45:36
Oh, okay. Yeah, cuz the Treasury the Treasury is
45:40
the one who bailed it out. It’s the same thing as um
45:43
um uh Argentina. Argentina’s the 20 billion dollars that they gave is is
45:49
like a it’s a weird currency swap system where they bail out the country and then
45:54
essentially the Treasury will get that money back at some point, but a lot of
45:59
this stuff is like an odd like like move of money. Um it’s the same thing.
46:06
Yeah. Like the Ukrainian all the stuff that were Yeah. Essentially exactly that
46:11
bubble. But Ukrainian war is the same thing. Every missile we give, we
46:15
essentially get money back for it, but it’s like in a later date.
46:20
Okay. So, it’s not like we’re just giving the money. No strings attached.
46:24
That’s crazy. Yeah. Like in in many ways there are
46:28
strings attached, but they they have to do it. It’s like um the bailouts did not
46:35
address the underlying issues that led to the crisis but it resulted in like a
46:41
moral hazard you know or risk of financial you know future excessive risk
46:46
takingaking by financial institutions like there’s a weird thing but public
46:50
perception is that bailouts were a net positive you know in there um you know
46:56
all of that but uh there was like bonuses paid to bank executives you
47:01
general feeling that no one was held accountable, which is why this bailout
47:05
is that moral, you know, part. Same thing with Sam Ultimate. Like, if if he
47:10
gets bailed out, he’s probably going to take a bonus. He’s going to take more
47:12
equity. Like, no. Like, you you should put all of these tools in in in front of
47:18
them to stop that. But also that was um some of the laws that was passed after
47:22
two 2008 that Trump has actually repealed for the most part um to protect
47:26
the to protect the American people from big banks over lending and doing
47:31
fractional things that just caused caused all this. Um but that money was
47:37
all paid back in that bailout. I don’t know about the cars the car companies if
47:41
they were paid out. I know Ford didn’t take money, but I think GM and all that
47:45
inevitably took money that that, you know, inevitably Stellantis bought most
47:49
of those brands. Chrysler, you know, all Jeep, all that. So, did that one help?
47:55
Probably not. Um, but many of those banks would have gone under. Um, I think
47:58
there were six banks in total. Okay. Yeah, I mean, that makes sense.
48:03
Um, well, there goes my argument. Um, you know, you you probably framed it
48:08
much better than I would, so I appreciate that.
48:10
Great, man. I mean, anything else? No, let’s let’s do the wrap on it. Um,
48:16
great. Yeah, I think that’s it.
48:19
Great. Well, thanks so much for watching. This has been Social Market.
48:23
Excuse me. This has been Social Leisure Report with J.R., founder and CEO of
48:26
Social Market and Leon, CMO of Social Market. And make sure you like this
48:31
video if you liked it. Subscribe if you want to keep watching this kind of
48:33
stuff. If you disliked it for whatever reason, give it a dislike. And yeah,
48:37
this has been Leave a comment, too, if you disliked
48:39
it. I I want to know why you disliked it. Don’t Don’t leave me wondering.
48:44
And if you actually stayed this long to watch it, thanks so much. Um let us know
48:47
what you think. Yeah. We’ll see you in episode 29 next week. Take

