NBA Gambling Scandal, Billionaire Tax, Tesla's Future, Amazon Robots, AWS Outage, Dangerous AI Bias
2443 segments
What's the story with the California
wealth tax? Can somebody explain this to
me? Okay. So, the SEIU, the Service
Employees Union, filed a ballot
initiative, which means a directto voter
vote to amend the California
Constitution to introduce a one-time
billionaire's wealth tax where
billionaires, anyone who has assets over
a billion dollars net of their debt, has
to pay a one-time tax of 5% of their net
worth, including their private stock,
including their real estate. You said
5%. 5%
of their net worth, not of their income,
of their net worth, the entire net
worth, onetime payment to the state of
California, and then there's an
allocation on how that money will be
spent, but it's a onetime billionaire
tax. Now, it is very likely that this
sort of an amendment to the California
Constitution is not constitutional and
actually cannot be made and will not
actually go into enforcement even if the
voters do vote to approve it in both a
federal and a state level based on this
concept of uniformity which is that you
have to tax everyone equally except for
the case of an excise tax which is like
income or a transaction. You're allowed
to tax disproportionately based on the
size of the income or the size of the
transaction. But if you're going to tax
on property, if you're going to tax on
an asset, you have to tax everyone
uniformally. So it is likely not going
to go into effect if it does pass.
However, it is very likely the case that
the SEIU is simply using this as a
baiting mechanism to get people to stand
up and denounce it and then they will be
in a position to attack those people and
destroy them and use this effectively as
a political fodder for this next
election cycle. That's what it seems
like the true kind of motivation right
now. Let me let me go on the record. I
think this law is great. [laughter]
>> He's getting the virtue signaling
points.
>> I would just like to say, may I be the
first to pay 5%. I'll be in the front of
the line. Let me know when to show up.
I'll bring my check.
>> Who do I sign the check towards?
>> Shall I Should I bring cash, Gavin? We
just bring it cash to your Which one of
your mansion should I bring the cash to?
>> [laughter]
>> This is strategically why Chimamoth, I'm
glad I got out of California right
before I was about to billionize. That
was a smart move on my part.
>> Free, what are the odds that this goes
into effect? Can you just handicap this?
>> Yeah. Well, we don't know who's going to
come out against it, but there's an
effort to try and get top Democrat
officials in the state of California to
say, "This is silly. If you do this,
people will leave the state." yada yada.
So, that's kind of a quiet underway
effort. But I don't know why the
citizens of California, the majority of
citizens of California would not vote
for this. Why? Who wouldn't want to tax
the billionaires 5%. Come on. Like,
>> well, the way the way that it's written,
it says, "Hey guys, we're 30 billion in
the hole and there are 200 Californians
that control two trillion dollars. We're
just going to ask them to pay a onetime
fee of 5%." Y
>> and I don't see how anybody would say
that doesn't sound unreasonable at the
ballot box,
>> right?
>> And then the people the people that step
up against it and are vocal against it
and point out like hey in France when
they did this they lost like 40% of
their revenue because all the wealth
left the country. The reality is that
this sets it up to go through the
legislature because if it goes through
the will of the people and it gets
overturned as you say Freeberg then if
you're legislatively smart then you'll
actually push it through the state
senate.
>> Oh but don't you remember no and then it
will not get vetoed like because then
it's like hey listen it's clear that the
people want this.
>> So I I think that you'll have some kind
of progressive taxation system that
conforms to the law.
>> I mean the one They're already trying to
extend Prop 55, which is the progressive
tax for people making over a million
dollars. They're going to get that
passed. That's going to be this
incremental tax on income. But the
onetime wealth,
>> I think the I think the million dollars
thing, I think that's harder to hunt
because there's too many people that
that touches. A million dollars today in
2025, not to be glib, is just not what
it used to be. But a billion dollars
does cut off most people except for a
couple of hundred. That is true. And I
think that for example, it's very
reasonable to then charge a 10% excise
tax on selling appreciated stock,
>> right?
>> Why not? There's all kinds of ways that
you can get billions and billions and
billions of dollars. So, I don't know. I
think that this is more of a trial
balloon
>> to say, can we draw a clear line between
200 Californians and the rest of
California?
>> Yeah. And to the extent that that bright
line becomes visible and it's okay,
people are going to go ham. They're
going to try to get as much as they can.
>> The reality is, as we all know, I mean,
Larry Ellison left the state. Many of
the founders CEOs who have built large
technology companies in California. Elon
left the state will eventually at some
point break and say, "Okay, I'm moving
my company out of state and I'm leaving
the state and I'm bringing the employees
with me and I'm bringing all of the
economic value of this business with
me." And people will never learn that
lesson because it's so much easier to
sit in front of a voter and say, "Hey,
should we tax these 200 people to give
you better benefits?" 97% of people will
say, "Absolutely."
Very few people will sit and think about
the consequences of what's going to end
up happening.
>> 99.9 will say absolutely. I mean, nobody
tells them in that ballot initiative
that we have a $300 billion budget of
which 2/3 may be just wasted. One of the
motivations for this bill, and this is
why it's being proposed by the SEIU, is
that there are these massively
ballooning pension benefits and pretty
significant increases to the pension
programs for both private and public
pension funds in California, which has
actually become a very visible liability
for the state and for some of these
private pension programs. and they're
trying to fill the pension hole, which
we've talked about in the past, but
there is a multi-t trillion dollar
unaccounted for pension liability in
this country that's going to have to
come from somewhere. You're either going
to have to print the money because the
federal government's going to step in
and fill the hole in all these pension
obligations or they're going to have
these massively progressive tax programs
to try and fill the hole. And if and
when they do, as we all know, there will
be an economic cycle that will be pretty
nasty, which is all the value will leave
that jurisdiction and move elsewhere.
But let's see.
>> It's it's like the Democrats are doing
everything they can to get me to leave
the state. I don't want to. [laughter]
I really am resisting. I mean, they've
raised my income tax to what is it like
13.3%.
>> 13.3. Yeah.
>> And I know it's going to 16. They've
been boiling the frog. I still haven't
jumped out of the pot. But for me, I
think the wealth tax, I'm gonna have to
jump out of the pot with this.
>> The crazy thing with this, the other
like I read it because I was like, "Oh
my god, what's going on?" The two things
that they they obviously got somebody
very clever to draft it because any Roth
IRA over 10 million counts. And normally
in these wealth calculations, you you
keep your deferred retirement accounts
off the table. They're typically not
included. So folks, and I'm not going to
say who they are. we all know who have
tremendously appreciated Roth IRAs
>> pretty public who you're talking about
but sure
>> those are included and then the other
thing is that if you actually did any
tax structuring the real valuable tax
structuring is where you set up these
trusts in Wyoming and North Dakota and
you do these interparty loans where you
can lever up 10 20x so you can transfer
billions and billions and billions of
dollars out of state but then you have
these obligations those are negated and
they don't count so all that tax
structuring goes out the
So you can get into a very difficult
situation here where they're like, "Hey,
you owe us $500 million, a billion
dollar, $2 billion, and the only way to
pay it is to have an IOU to the state of
California." Which is crazy.
>> It's crazy. There is not a lot of ways
out of this if this stance
>> No one is empathetic to either of you.
No one gives a about the two of you
needing to pay more.
>> This is why I'm in support. Again, I'm
just saying it for the record. I am
supporting support keep [laughter]
this
>> I had a few more thoughts about this
thing which I want to unpack. So number
one is like you guys said a wealth tax
has been tried in many places at many
times it always backfires because
whatever the tax benefit is that you get
for the state it's greatly outweighed by
the economic depression that you get by
the wealthy people the job creators
companies leaving. And as soon as you
cross that line of going from no wealth
tax to any wealth tax, enough people of
wealth can see the tea leaves, they can
see the writing on the wall that they
have to leave. And that's why I think
even if they say this is a one-time
thing, we all know that it won't be one
time. If they get away with it, it'll
become a regular thing. It'll just be
>> if it's to plug a deficit, they're going
to run deficits every year.
>> Exactly. And and you're right. And this
isn't even to plug an emergency
situation or an unfunded liability like
some one-time thing. This is just a
regular operating exactly. So they will
have no incentive to fix their
mismanagement of the state and their
deficits and all that kind of stuff.
>> By the way, by the way, if they get away
with this
>> and it's not just going to be
billionaires eventually the line will of
course get pushed down be gone. The
billionaires always like like the income
tax in the US. I think it was a 1%
income tax originally and it was like
just a onetime thing for wealthy people
and then it became a smaller thing for
you know lower income people and then
eventually as we all know every person
has to pay a tax every property has tax
and so on. I mean these are this is the
problem with government. There's all
these other states by the way that are
finding clever ways. I think in Montana
now there's a differential property tax
scheme where if it's your second or
third home and you don't live there you
pay a lot more. Yeah, here's what I
wonder about is, you know, what are guys
like Jeffrey Katzenberg or even Ari
Emanuel thinking about right now because
they're kind of the higherups in the
Democratic party behind the machine,
sort of the oligopoly that kind of runs
the machine. And I remember that when
Karen Bass was running against Rick
Caruso for mayor of LA, it was very
publicly reported that Katsenberg was
behind Karen Bass and there was sort of
an imboglio between Caruso and
Katsenberg. Katsenberg anyway helped
make sure that Karen Bass was wellunded
enough to win. The result of that
ironically was that Pacific Palisades
burned down and I think Katzenberg's
house might have been part of that. In
any event, I think there are these guys
who are very, very wealthy who think
that they can control the machine well
enough that they basically are still in
control of this thing, right? That in
other words, that the tiger won't eat
them, right? The tiger is socialism.
>> Yes.
>> And that's exactly right.
>> You know, they think they've got the
tiger under control enough that it won't
eat them. But I don't think they do.
Maybe they don't. Maybe this is the
tiger breaking loose.
>> Yep. And I think Fer, you pointed this
out that there was an attempt in the
legislature last year to pass a wealth
tax and it was quietly killed behind the
scenes. And I actually think that Gavin
Newsome might have something to do with
that because he has presidential
ambitions. So he can't let the state go
full socialist. But you just kind of
wonder, okay, well, if these guys lose
control of the strings they have to
control the beast of socialism, does the
whole thing just spin out of control?
>> That's New York. We're seeing it
everywhere. Seattle.
>> I was about to bring up let's talk about
it. Uh well and and just to let people
know about the France situation back in
I don't know 2011 2012 they did get rid
of Gerard de Parde which was kind of a
win but Bernard
>> Arnold
>> what's
Bernard Arnold is that his name from
LVMH
>> Bernard Arno said he was going to go to
Belgium and said it was a clerical error
and he unwound it but that was a clear
signal the richest man in France. Well,
he's
>> go to New York.
>> He's basically the entrepreneur LVMH
together. I mean, it's their biggest
company. It's the one that does all the
luxury goods, all the craft goods that
they're so famous for. I mean, yes, him
threatening to leave France is, you
know,
>> accidentally fly filing paperwork. Oops.
What an accident. Here's your look at uh
New York City under Mandami, who uh
we're in touch with. You may come on the
program.
New York State tax 10.9% city 3.876%
and the 2% mandami tax put you at 16.8%
for living in New York is 17%.
I mean if you were making $10 million a
year is it worth $1.7 million? You could
get a plane. You could live in Florida.
You could come to New York 150 days a
year. There's really five good months in
New York. the fall, the spring, and
that's about it. You know, you go see
the tree at Christmas, but it's cold.
>> Well, that's not that's not that's not
realistic for most people. And
especially if you have kids and you care
about them, you'd like them to be rooted
somewhere. You're not going to shle them
around every month to arbitrage taxes.
>> Yeah. Well, I mean, I I do think they're
they're going to test that at 17%.
That's nondeminimous. Okay, let's uh we
got a lot of docket to get through here.
>> I'm so glad Shimov supports the
billionaires tax. That's great. We'll
get that [laughter] in the headlines.
Yeah. right after all. This is the free
rider problem that we have is no one's
going to want to stand up against it and
the thing will just kind of
>> pass. By the way, if you're the if
you're a billionaire CEO of a public
company in California,
you have you have everything you have
everything to lose to stand up and
oppose it. Your employees will run. Your
shareholders will attack you. You'll
look awful in PR. So, everyone's going
to sit quietly and start looking at
houses on Zillow in Austin or Miami and
be like, "Where should we move to next
year, honey?" You know, like that's the
conversation that's going on.
>> Didn't you say it was retroactive?
What's
>> it's retroactive to 2026? So, if it
passes,
>> you have three months. Two months. Yeah.
>> But again, I don't think it passes
muster with the constitutional reads.
>> Remember what they said about remember
when they did the transfer tax where San
Francisco took 6% of my home?
>> Yep.
>> And then in LA just took 5% of my house
down there, the supposed mansion tax.
>> But those those were excise taxes. So if
you go back to the case history in the
US Supreme Court on this stuff, anytime
there's a transaction and you take a tax
on a transaction, they call that an
excise tax that is constitutionally
>> part of the bill though there's a part
of the bill that they could cleverly use
which is called this ODA which is
effectively this IOU mechanism
>> and they could essentially say when
these assets transact you owe us 5% on
an excise basis and by the way there's
an attestation that you have to file you
have to file a legal document and this
was quite well written in there which
said you must attest that you have less
than a billion dollars.
>> Okay,
now what? Okay, then I have to attest
that it's more and then I have to know
>> how do you even mark your whole
portfolio to market if you have a lot of
privates?
>> They do not allow discounts. They do not
allow liquidity discounts. It says if
you are a reasonable buyer and a
reasonable seller, you have to transact
this at market price. So, for example,
imagine you owned a sports franchise and
the sports franchise, if you sell a
minority share, you're typically selling
it at a discount off the table. If Forb
says it's worth 10 billion and you own
10%, that's a billion dollars
>> for the purposes of this calculation.
>> I'm going to pay $50 million to keep it
even if you paid 50 million to buy it.
>> Even if Freeberg is right that there's a
good chance that it'll be found
unconstitutional, how many years in the
course is that going to take? And who's
going to stick around waiting for that?
In fact, the rational thing to do is
pull up stakes before January 1st and
leave right now.
>> That's right. That's going to happen in
New York. I mean, I think they're going
to have an exodus just like New Jersey
and Connecticut did. And that actually
rocked the tax base in those two
geographies. All right, listen.
Big breaking news this morning. Huge
scandal in the NBA. The FBI just
arrested 30 people in a sports betting
and gambling probe. This hardly seems
real. Chanty Bilips, who is the current
Blazers coach and was just introduced
into the Hall of Fame, got pinched for a
poker game he was running allegedly with
the mafia that was rigged 17 different
ways allegedly to Sunday. Terry Rosir
allegedly is a point guard for the Miami
Heat.
>> Why are you saying allegedly all the
time?
>> I'm, you know, everybody's suing these
days, so alleged I'm I allegedly he's a
point guard. I I've seen him play. He's
not a very good point guard. It's a lot
of turnovers if I'm being honest. You
know what I know is alleged? That you're
the world's greatest moderator. That's
>> allegedly true. It's allegedly
[laughter] true cuz it's not true.
>> You're allegedly a billionaire. Nobody
can confirm it. [laughter]
>> Normally, he uses the word allegedly
when it's a story that like it's about
Hunter Biden or doing something
improper.
>> Yes, he allegedly smoked crack and shot
a 9 mm in the air.
>> It's usually a story about Democrat
wrongdoing and he's trying to discredit
it.
>> All right, here we go.
>> Anyway, keep going. Curry Rosair, uh,
who's allegedly a point guard. I mean,
he he was
he told his friends, this is crazy, you
know, in the overunders, you know, hey
guys, bet the under on me uh in rebounds
cuz I'm going to uh take myself out of
the game with an injury allegedly. And
uh
his friends allegedly made 200 grand off
this. Okay, just allegedly for the whole
goddamn thing. Uh this is going across
11 states and a bunch of crime families.
Allegedly, there's something called the
mob. I don't think that really exists
anymore. I think that's an urban legend.
And these are two separate threads, but
announced on the same day. They both
involve NBA players, but apparently this
is two different cases. So, Chimath,
what do you allegedly think of this?
[laughter]
I I think it's crazy. I think you're
seeing a lot of these trends converge
all at the same time. Meaning, you have
the emergence of all of these prediction
markets. you have
a lot of data science and AI being used
that shows that there's a lot of odd
behaviors. So, it really was the squares
versus the sharps. And if you had the
inside edge, you were just printing
money. Now that all of that is becoming
more transparent, there's a lot less
margin. Then what happens is you have
these laws passed in the 11th hour.
There was a an important gambling law
that was inserted into the big beautiful
bill that has implications to all of
this. And now you're seeing the feds. I
The crazy thing to me is
a press conference where Cash Patel is
talking about this. I mean, that's like
serious business when the FBI director
is front and center talking about all
this. So, I don't really know what it
means to be honest. I was shocked at the
scale of it and I was shocked that it's
on the radar of the feds. This took I
thought this is like pretty typical
tickytacky stuff, but clearly there's
something bigger. I don't know exactly
what that bigger is, but something is
happening where all these markets are
smashing together. There's just a big
cleanup effort going on. So, I don't
know. I really don't know.
>> Freeberg, I guess there's two different
ways to go about this. You have the
fantasy sports becoming legal, everybody
around these players just in that one
case
where are these people too dumb to
understand that their $10 million
contract to play in the NBA every year
or $20 million contract is more
important than your friends betting the
under or over.
And how dumb are they? I mean, to not
know that the people running a sports
book would look for weird action. like
why is one player getting $200,000 on
their overunder for rebounds and the
other players are getting 20,000? What
are what are your thoughts here? Us also
take on the poker one.
>> I think gambling generally as we call it
should be decriminalized and I don't
like this statebystate setup with
gambling. I think we should have a
federal regulatory body to oversee,
monitor, and the problem is you have
state gambling commissions and we have a
state-by-state kind of patchwork of
regulatory authority that makes it very
hard to standardize, track, and provide
also guidance and feedback. I would much
rather see this all kind of get handled
at the federal level and and better
organized. To Chimat's point, this is
not going away. People love to bet on
stuff. They love to gamble. This is part
of sports. This is part of the culture.
They're not going to just turn it off.
>> They did market poly market raised
whatever it was a billion or two billion
at 9 billion.
>> Then the next weekend they announced
sports betting
>> and now they're raising money 30 days
later. It allegedly
>> allegedly
>> at 12 to 15 billion. I mean anywhere.
>> It's un it's unbelievable. And you can
see by the way the way that DraftKings
and FanDuel stock
have reacted to this. Those companies
are toast.
>> Toast.
>> That's right. This is really
interesting.
>> The poly market model is the best model
because it creates a market and so as
information flows in that market will
dynamically adjust and everyone will get
a more fair price.
>> Did you see the regression that they did
on the poly market trades and how well
they're in the money?
>> Y Nick, can you find that? But basically
what it showed is like the front money
is the sharps,
the back money are the squares, but you
have to fade the trade in the first
week. So there's a very scientific
method where if you want to make money
on poly market, it became pretty clear.
There's two things that are very
interesting about it is number one how
how they've simplified things to a way
people can understand. It's not like you
have to understand, you know, it's 120,
it's this the point spread. It's just
what are the what's the chance that this
thing happens? 80% 20% people could just
place their money on it. And then this
ability to reconcile it at any time. I
didn't realize how engaging that is. I
was watching the Oscars and I was
watching boxing and I bet the underdog
in this Netflix boxing thing that
happened cuz I just thought this guy
looks pretty pissed off. Uh, and I
thought that was a good enough way to go
with the underdog. And then you watch it
round after round and you see the odds
changing real time and anytime you can
just cover the bat and take your
winnings and take out the risk. Really
like interesting and fun for people.
It's so simple. Then I did it on the
Oscars or the Emmys and I was like,
"Yeah, I'm going to I'm I'm fading uh no
offense Pen Stiller, but I'm going to
fade Severance." And I went with the um
the uh the one about the emergency rooms
and with Andor and I won again. So, I'm
just it's it's a lot of fun to do it
>> here. Jason, look at this. I sent Nick
the tweet, but this is incredibly
systematic. This is over many many many
markets. But basically, 89% accurate one
week out, but in the final four hours,
it jumps to 95, which means that if you
follow the sharps along this pattern,
you're going to make money.
>> 6% in a week.
>> Yeah. Right.
>> Market Poly Market actually has the news
before the news does. This is one of the
most like powerful outputs of Poly
Market is they're actually getting a
read on what's going on in the world
before the media recognizes it, before
the public recognizes it. Because when
you put
>> Yeah. When you put money up, it actually
turns out that when people have
incentives, that market will find the
truth.
>> Somebody needs to build the app that
makes all of these things fungeible. And
by all what I mean are cryptocurrencies,
betting markets, equities, and options
markets turning into.
>> Yeah. And the reason is there's just no
reason to go to nine different sites and
have nine different accounts. And the
most important thing is to do KYC and
AML across nine sites to get access to
liquidity, credit, and margin. You'll
want to do it once. And then you'll want
to have a large pool of capital that you
can trade across anything. So I can go
long Nvidia but I can also go short the
nicks and then I can own some Bitcoin
all in the same trade.
>> Totally.
>> That's where it's going.
>> Totally. Totally.
>> Now to the earlier question Jcal I think
if we end up there where poly market
does become the truly liquid market
across all of these kind of predictions
all of these assets then a lot of what
we are seeing with respect to insider
trading insider information becomes much
more apparent. So, the problem with the
sports betting is that there's a
one-sided bet. The casino sets the odds
or, you know, whomever is setting the
odds, and then you're either taking one
side or the other. And so, if you have
the insider information, you're taking
the side that creates an arbitrage
opportunity for you.
>> But if you were to do that in a liquid
market where there's someone taking the
other side in a dynamic way, then the
market very quickly moves because of the
inside knowledge you have. And that
inside knowledge is now reflected in the
underlying asset price in the underlying
odds that you get for that bet. And so
Poly Market actually brings truth and
transparency to what is currently an
insider arbitrage opportunity and it may
actually solve some of these fundamental
problems in in gambling.
>> I think let's just wrap with a little
bit on the poker and knowing if you're
in a rigged game or not. uh living in LA
I got invited to a lot of poker games
when I was playing low stakes playing at
Hollywood Park just you know $500 buy in
thousand buy in but as these things went
up you started to get access and I
started to get invited to Molly's game
the very infamous game and she would
text me she would call me oh we're
playing over here oh Leo this person
wants to see that person wants to see I
was like they want to see me lose 50
grand there's no way I'm not playing in
that high stakes and I'm not going to
that game and the one or two times I did
go to games that had a rake I was just
like This game is fixed. I don't know
how.
>> Totally.
>> But somebody's I think it's just
collusion. I think there's three players
all playing from the same chip stack. In
which case, you know, you could be dealt
aces five times in a row. If you're up
against three players, what are your
odds against, you know, six other cards?
It's going to be pretty bad for
>> you think Molly's game was fixed.
>> I don't know if hers were was I wouldn't
be surprised if it was. I wouldn't be
because once the mob gets involved,
which is what happened at the tail end
of hers, then all kinds of possibilities
happen. Once it gets to extremely high
stakes and you've got guys chasing it,
man, you could, you know, and they're
coming back night after night trying to
catch up for what they lost last week,
it's it's pretty dark. There is
absolutely no reason why anybody should
play in a game where you're playing with
people you don't know. And if you need
it that badly, then you probably have a
problem. But there is no limit at which
you couldn't find a game with some
combination of your friends and or
respectable reputable businessmen that
have more to lose than you do. And if
you can't find that game, you should not
be playing in any game.
>> Yeah. Any home game with a rake is just
should be absolutely suspect. Period.
Stop. Super sketch.
>> Isn't that game?
>> Yeah. Well, yeah. Well, we don't want to
[laughter] bring up angle shooting, but
he's a straight play.
He would be so tilted if he hurt heard
you so well.
>> Oh my god. He's so about the ethics. He
wants, you know, no flies.
>> In fairness to like that game where you
can, you know, go off for a small house
in is also the game where he would then
collect $10 from each of us to pay for
the
>> fruit plate and the pizza. He would
order Domino wouldn't even buy us pizza.
>> Yeah. The chef and but I'm like I don't
know if the chef really does cost $6,000
for two hours, bro. [laughter] I don't
know.
>> It's Wagu. But I think it's a Wagu
burger. The the funniest ever was he's
like in a hand and the Domino's pizza
comes and you know he's like everybody
have a green chip when we're playing
with fin chips. He's trying to get like
$125 bucks. The guy comes I just go it's
on card. The guys got you got a sign
right? It's got the tip on it. I said uh
it's like $150 a piece. I said what's
the most what's the biggest tip you ever
got? He said yeah somebody on New Year's
gave me like 200 bucks. I just wrote
$500 on $150 thing. I signed it. I gave
it to him and then I was in a hand with
I said here's the receipt. [laughter]
>> So what you're saying is when it's on
somebody else's credit card you're
willing to tip incredibly generously.
>> I mean
>> God you're a really great guy.
>> You should speak when Phil Helmouth and
I bought uh dinner for everybody at
Chipriani that time. Chimop grabs the
check. He goes, "I'll put the tip in for
you guys."
>> Well, why is that, Jason? Is that
because 100% tip on an $8,000 check?
>> Isn't that because I pay for everything
all the time?
>> That's true. You are very generous. It's
You're no um or no, sir. 20 2010
>> one time. I asked you guys in 15 years
to pay one time and you remember the
exact It's so sad.
>> I have
on you guys.
>> I was like, "Oh god, I guess we're going
to public school."
>> You guys are so ungenerous. It's
>> I know. I I give huge tips. Um
Yeah, I think he's, you know, he's
average.
>> Okay, let's go to the next topic.
[laughter] Allegedly, world's greatest
moderator.
>> Let's talk about this Amazon outage.
Tough week for Amazon. They had this
huge outage in the beginning of the week
and then they had a bunch of leaked
documents about their plans for uh jobs.
And uh Monday, massive AWS outage, 2,000
companies, 4 million users unable to
function on the internet for half a day,
15 hours, 20 hours. Uh and then on
Tuesday, internal docs viewed by the New
York Times showed Amazon plans to not
hire uh 600,000 plan jobs uh because of
robots by 2033.
So this isn't they're planning on laying
off 600,000 workers, but rather they're
just pulling back their hiring plans and
ramping up their robotic plans, which
you would expect. uh and uh their goal
according to these internal leak
documents is to automate 75% of
warehouse operations. We talked about
this the last couple of weeks. Freeberg,
your thoughts on either of these uh two
stories here?
>> I think the AWS story is interesting in
terms of its implications for the
clouds. There's effectively three major
cloud vendors that compete with one
another. AWS, Microsoft, and GCP or
Google Cloud. And I'll just give you
these numbers.
>> Also, by the way, coming on strong.
Yeah,
>> that's right. But let's let's exclude
the number four for now. Oracle, but AWS
is $124 billion revenue run rate.
>> Microsoft 120 billion. And Google Cloud
54 billion. But AWS, which is slightly
larger than Microsoft, is only growing
17% year-over-year. Microsoft 26%
year-over-year. And Google Cloud is
accelerating at 32% year-over-year. And
some say getting closer to 40% growth
rate. The big thing I hear from partners
and enterprise customers of these cloud
services is that many of them if not all
of them as they scale up move to a
multicloud model. So none of them want
to be dependent on a single cloud. Many
folks started on AWS because AWS was the
OG. Back in the day when I was running
Climate Corp, I was the largest EC2 user
on AWS for about a year and a half,
which was their elastic compute cloud
service. We were running all these
models back then. So I knew that service
very early on and it was very unique. It
was very powerful and so a lot of
companies that are old school
established themselves on AWS very early
on. But the outage that happened this
week, I think starts to highlight for
folks that they can't and shouldn't have
a dependency on a single cloud service
provider and will only accelerate the
diversification of companies into the
other clouds. And so I do think this is
actually a very beneficial situation for
Microsoft and GCP and to your point
Jakel perhaps even Oracle in terms of
giving those sales teams which are very
aggressive a hard story to go and sell
for and say guys you don't want to just
sit on AWS in case this happens again
we've got better infrastructure we're
more reliable etc than these other guys
so come and move over to us and that
might be a little bit of a naive
simplistic kind of reductive way to
think about what happened this week but
I we are seeing the smaller competitors
accelerate and I think that this might
be another kind of moment of
acceleration for those folks
>> and multicloud it's been around for a
while Jimoth when you're doing stuff
with 8090
are the big companies already doing that
or do they assume hey there's going to
be some downtime
yeah it's okay to risk or are they
really thinking multicloud neocloud
let's have some smart intelligent
routing and redundancy here
>> I think there are two markets there's
the AI market then there's the non-AI
market. In the nonAI market,
everybody has everything. It all looks
effectively the same. There's certain
products and services that are unique to
Azure versus GCP versus AWS, but by and
large, the market is big enough and
important enough that you'd have to be
pretty insane to take a single vendor
approach.
And so what typically happens in these
markets is that they start off really
small. One person has all the share. And
then as the market becomes very valuable
and very big, everybody diversifies
because it's a riskmanagement thing. And
these things flow into the disclosures
you have to make as a public company.
And if you didn't have that
diversification and something bad
happened and it impacted your business,
you could get sued. So there's all these
reasons why eventually all these three
big companies will converge effectively
roughly a third, a third, a third. We're
going to debate the path to get there,
but that's where they'll end up.
>> You know, there's this principle called
the rule of three where they say like
all markets eventually mature to kind of
a 60 3010 split that you end up having
your market leader at 60% market share.
Second place is usually half the size at
30 and then you always there's some
balance in the market where there's some
competitor that resolves to about a 10%.
It's really interesting. If you guys
were to place a bet, who would you think
is the 60 3010?
>> I don't think that applies to you. I
think that's
>> You think they're going to be a third, a
third, a third?
>> I think it's all some idiot making
something up.
>> But what do you think? What do you
think? What do you think happens in
cloud? Like, do you think that these all
converge to equal market share?
>> In nonAI, it's a third, a third, a
third. It will it'll take circuitous
paths, but that's where we'll end up.
>> By the way, a good point to make is that
this revenue number that I highlighted
for Google Cloud, Microsoft, and Amazon
actually include their applications. So
as you know like Microsoft GCP have
pretty sizable enterprise application
stacks that are built into that number
which gives them obviously the ability
to drive cloud usage because they've got
demand and sales relationships into
those enterprises. I think the way it
works in AI is that you initially right
now we're in this early phase where
there's two paths. Path one is you need
a specific model and it's relatively
well integrated using a specific
subsidized form of hardware on one of
the hyperscalers but eventually you'll
get more of that abstracted away as it
gets pushed into the infrastructure so
that you have less dependence on one
model. There's a lot of work that has to
get done and a lot of in-memory
infrastructure that is not yet built
that has to exist but once that exists
it'll be easier for all of us at the
application level to view these models a
little bit more funly and then at the
bleeding edge you'll have the folks that
basically give you some form of a
hypervisor or virtual machine or the
bare metal and that's where the
neocalers are doing really well but I
think my point is that in any important
market
in compute in technology where there
really isn't much of a differentiation I
think you'll end up with these
hyperscalers at a third a third a third
now if one model is way way better and
it's only on one of the clouds because
Google writes a big check or Amazon
writes a big check I could see that
swaying the AI share but in the absence
of that I think cheaper faster better is
sort of the the the end destination for
everybody
>> what an extraordinary outcome for Amazon
on where AWS is like 15% of their
revenue right now Freeberg but it's 60%
of their profits profits today and that
was just a side hustle like a little
project they took out of nowhere and
it's it's having the same impact on
Google and other places so side bets
>> and side quests are just you look at the
Whimo Side Quest for Google or even a
lot of Sergey's other bets like um and
Larry Flying Cars Looms low earth
satarites Google Google fiber all those
ex projects were so they had so much
potential in this
>> TPU, Deep Mind, TensorFlow, GFS,
>> Robotics,
Boston Robotics, they bought all those
robotics companies, man. It's like
somebody got to them and we're like,
"Yeah, you know, you're seven, eight
years into this, it didn't happen."
>> The problem that Google has,
unfortunately, is like they have so much
stuff,
>> it's not really valued. And so they're
going to go through the same problem
that everybody else who's a conglomerate
has, which is this decision. Now
Buffett, when he got to that decision,
said, "I don't care. This is my life's
work, and so I'm just going to keep
everything aggregated." But now you're
going to get to this thing where the
intrinsic value of everything they have
will far exceed the actual value that it
trades at. And so there'll always be
these fissures of pressure. And then if
one of these things requires a lot of
money, there'll be pressure and that
pressure will be segregate these things
so that I can own one versus the other.
And that's always the thing that happens
in public markets is you go you go you
kind of swing back and forth. So I
suspect that this is going to happen at
Google.
>> This was what they set up to do with
Alphabet was to be the holding company
and then to your point they made that
evolution particularly in a company like
Whimo where they said we can't be the
soul funder. They brought in Silverlake.
They brought in all these other
investors. They did this actually with
Verily. They did this with a bunch of
these what they call other bets is they
made the conscious decision because
Chimoth on the flip side by bringing in
outside capital and having an
independent board for these
subsidiaries. They were actually able to
drive better outcomes because now there
was governance and there was aligned
interests that could then take
management and say guys if you can
deliver these results
>> you had this kind of external pressure
as opposed to the softness.
>> It's that but it's that it's something
else. There's no way somebody as smart
as Silver Lake comes in if they think
there's not a path to liquidity. So the
other thing they have to promise is
they're like, "Listen, we will take this
company public and in return you will
help us build a better company than we
could build ourselves." Well, it seems
that Silverlake has done their part of
the bargain. Now it's up to Google to
live up to their part of the bargain
because if it doesn't get liquid, it
sets a very bad precedent for everybody
that committed capital into that
company.
>> Yeah, of course. Yeah. Whimo going
public would be unbelievable next year,
man. If they did that, what would that
look like in the public markets? 250
billion. [snorts]
>> Take take it easy. Stop. Don't don't
don't do that.
>> You don't think so? I think it'd be
huge.
>> Jason,
we all objected to talking yet again
about [laughter] AIdriven job loss. Yet,
you insisted on putting this AI robot
story from Amazon in. I think you have
something to say. [laughter]
>> Thanks. Let me take you through a
presentation.
Well done.
>> You You have slides. No, I've been just
I I I'm working on a presentation based
on a lot of stuff we've been talking
about here. I threaded it together. You
know, I I talked we're just talking
about Google and the size of the
company. You right now they are in 2025
at 187,000. They were at 190,000 people
in 2022 and their revenue has just gone
from 283 to 350 billion in basically 3
years. Um, and when you look at this
Amazon stuff that came out, I just
wanted to point out a couple of things,
it's not just that they're not hiring
these 600,000 jobs. It's that they are
in fullblown crisis preparation for
this. They they have crisis teams
writing up how to handle this and be a
good corporate citizen. And they're
talking about having parades and paying
for toys for tots. And they're even
trying to get the executives to say
things like cobots as opposed to robots.
Let's not call them that. Let's call
them co-workers and co-bots.
And when you look at this, just to open
up the aperture here right now, Walmart
and Amazon are the number one and two
employers in the US. 2.1 million people
work at Walmart, over a million at
Amazon, and three million people, as we
know, work in taxis, Uber, Door Dashers.
All those jobs are at risk. And we
talked about this back in June when Andy
Jasse telegraphed all this in a blog
post where he said the next few years we
expect that this will reduce our total
corporate workforce as we get efficiency
gains from using AI extensively across
the company. They believe that they're
going to have
significant job displacement. Let's just
use the more neutral term here as
opposed to job loss or not hiring. And
when you look, I don't know if you saw
today, there were a bunch of MAGA people
saying like, oh, these interlopers in
the MAGA movement are not taking into
account the bottom half of the MAGA
movement, the workers, people who don't
own equities. And when we look at
electricity
spiking, you you were on that story last
week, Jimoth, or maybe it was even two
weeks ago now. The energy department
just said electricity costs for
residential are going to go up 4.8% this
winter. Uh, and this is going to start
this anti- AI boom
counter. And I tweeted about this and I
thought I would, you know, maybe end
here with Elon replied to my tweet and
said, "AI and robotics replace all jobs.
Working will be optional like growing
your own vegetables instead of buying
them from the store." And Sen Senator
Bernie Sanders came out and said, "I
don't often agree with Elon Musk, but I
fear that he may be right when he says
AI and robotics will replace all jobs."
So what happens to workers when they
have no jobs or income? AI and robotics
must benefit all humanity and not just
billionaires. And I I'll stop there
because this I think feeds into your
story for the last two years on this
podcast, Freeberg, which is the rise of
socialism. These things and Bernie
Sanders being the standard bearer for
democratic socialism. These things are
starting to come together. They're
starting in people's minds, whether it's
the original MAGA guy saying, "Well,
what's going to happen for American
workers?" Right? We know that the Trump
2.0 no agenda is doing great AI buildout
crypto all this great stuff trade but
the bottom half that you keep talking
about Freeberg is starting to connect on
this issue I think that you are
characterizing
AI automation
and technological progress as the core
driver of the socialist influence and
what I would argue is that the actual
core driver of the socialist influence
is the fact that we put in place a lot
of people into government, passed a lot
of laws that caused an increase in
spending because we promised people that
the government would do more for them
over the last 40 years. That is not
possible in a true market- based system.
>> Oh, I agree with Adam. Yeah, I agree
with that.
>> And so by telling everyone, hey, we're
going to make sure you get better jobs.
We're going to make sure you all get
housing. We're going to make sure you
get education. You cannot actually get a
government to effectively do that
because what ends up happening is the
government inflates the cost of those
things and the market doesn't actually
work.
>> So the truth is this is now like all
other things a scapegoat for the true
cause of the socialist movement which is
that government has become too big, too
unwieldy and its natural inefficiency
has distorted markets to the point that
there is maybe no point of return
anymore. And people will not see that.
They do not see it and they're going to
look for reasons and they're going to
look for scapegoats and they're gonna
say, "Oh my god, look over there.
There's a robot. That's the reason I'm
losing my job. Oh my god, look over
there. There's a rich person that works
at a pharmaceutical company. That's the
reason I can't get healthare."
>> Or an immigrant took my job, right? Is
the one from the last 20 years.
>> And so, fundamentally, I think that
people aren't willing to and they're not
going to see the true cause because
there's no one that runs to go work as a
politician that is going to raise their
hand and say government is the problem.
M no one says I need to reduce
government elect me. No one ever has
gotten elected in a democracy doing
that. So the natural course of things
over 250 years is that people raise
their hand and they say I'm going to
give you more and I'm going to use the
government to do it and then they go
into the government. They make the
government bigger and as a result of
making the government bigger, the
government is spending more. The dollar
goes down. The performance of the
services goes down and fundamentally we
end up in a socialist spiral.
>> I think it's confirmation bias for you
to see that story as confirming a point
of view. I mean, it confirms what I
predicted last year that Amazon would be
cutting all these jobs for robots.
That's all. It's not confirmation bias.
It's confirming.
>> They haven't cut one job. They haven't
cut one job.
>> Uh, actually, they have less employees
now than they did three years ago.
>> No, not true.
>> Yep.
>> It's actually not true. The New York
Times story doesn't even say that.
You've got these like hobby horses where
you keep coming back to the job loss
narrative, the copyright narrative, and
then there's one story in the New York
Times which was a leaked internal
document from the automation department,
which doesn't even mean that it's going
to happen. [laughter] This is like their
sales pitch,
that barber is trying to sell you a
haircut,
>> and you read that and you're like, "Oh,
it confirms everything I've been
saying." What the article actually says
is that they've [clears throat] tripled
their number of employees since 2018 and
they're not planning on cutting jobs. If
it pans out, if the program pans out,
then the rate of hiring will simply be
slower.
>> Yeah, it's interesting you picked 2018
as the point because the actual peak
employment there was 1.6 million in 2021
and it's now 1.55 in 202.
>> I didn't I didn't pick that to
cherryick. I I
>> Okay, which is fine. I'm quoting the New
York Times article, which is the source
for this.
>> Yeah. Yeah.
>> Amazon's US workforce has more than
tripled since 2018 to almost 1.2
million. You have to read these New York
Times stories carefully because they
want to make the headline as salacious
as possible.
>> And then the Echo Chamber wants to make
it even more salacious and they make it
a story about job loss when it really is
a story about operating leverage in
their business, which is a slightly more
nuanced take.
>> Yeah. No, there's there's definitely
nuance here. I would believe Andy Jasse
when he says we're going to be reducing
jobs and when this chart shows [snorts]
that they're flat to down over the last
five years and that that same trend is
just happening at Google like I just
showed because there is a static team
size or slightly down team size that's
occurring at all these companies and it
is notable and then on top of this which
has occurred in the review mirror for
the past 5 years because of co return to
office and efficiencies they're saying
hey we've got to come up with a way to
frame these robots coming into the
factory as a good thing so Americans
don't get really upset us and we need to
buy more toys for tots. So
>> here's the problem. First of all, I
don't I don't believe in this job loss
narrative as the way that you keep
portraying it. I think it's much more
nuanced and complicated. I think
Freeberg does too. And every time
there's a story, you want to bring it up
and make it a story of the week. And
it's all confirmation bias. And my point
is not that Amazon isn't seeking ways to
improve its operating leverage and avoid
hiring more people. Obviously, they are.
But the headlines that this has been
turned into are so exaggerated and
salacious. And the point is they don't
say in this article that they are even
going to be cutting jobs. They're simply
planning to double their sales volume
over this time period and hoping to not
have to double their workforce.
Obviously want to get a lot more
operating leverage. By the way, this is
not something that started since AI. And
look, I'm just quoting the New York
Times story, okay? which is not even the
most reliable narrator for this. But
what they say in the story is that
Amazon's been using automation for over
a decade. When they acquired a major
company to do automation, they've had
robots running around these factories
for a long time.
>> Yeah. 100%. Yeah. Yeah. They're they're
the tip of the spear.
>> But this is just a continuation of a
trend that's been going on for the last
decade as opposed to oh like AI is
suddenly going to cut all the jobs,
>> right? It's effectively software. You
could argue software is a job loss
creator. You know, I think you'd be
underestimating exactly what's happened
with LLMs being put into robots. We've
had these robots before, but they were
very purpose-built, as you've pointed
out many times, Freeberg. They were able
to do like one very simple thing very
well. Now, we're going into general
robotics like the Optimus, like the
figure, and those are designed to be
able to learn anything. And they're be
they're going to be absolutely a
gamecher. They're going to be able to do
a hund times, a thousand times what the
purpose-built robots do. So, I think
that's where we're probably having a
little bit of a disconnect here. These
little tiny KA bots, I'll show you. I'll
just put an image in here so we have it.
These do one thing. The KA bots,
>> those move packages around. That's not
an Optimus going around and packing the
boxes and bring them to your first step.
>> Optimus is going to be really cool and
when it comes, it's going to be really
interesting in terms of all the things
it can do.
>> Yep. But right now, that's a narrative
for the future and it's being portrayed
as something that's already happening
when the current round of automation has
been going on for a decade and it's
based on those like Roomba type devices
and mechanical arms and things like
that.
>> All right, Tesla reported their earnings
on Wednesday. As you guys know, we
record on Thursday as you listen on
Fridays. Record revenues, 28 billion, up
12% year-over-year. massive amounts of
free cash flow. Four billion I think
they're up to 40 billion in cash uh
which is always great when you're going
into uh some big capital intensive
projects like Optimus and like
self-driving.
Downside operating profit fell 40%. uh
stock dropped a bit 4% but bounced back
and uh on the earnings call Elon
emphasized the importance of his
trillion dollar pay package which will
give him just but 12% uh additional
stake over the next 10 years if he hits
absurd targets that would make everybody
who holds the share uh shares in the
company extremely wealthy uh and they
would benefit uh more than Elon himself
and here's his quote my fundamental
concern with how much voting control I
have at Tesla is if I build this
enormous robot army. Can I just be
ousted in the future? I don't feel
comfortable building that robot army if
I don't have at least influence over it.
And he called Glass Lewis and ISS
corporate terrorists. These are the
people who vote on behalf of passive
index funds for things like who's on the
board of Tesla. Vote for Elon's pay
package will be number six. Poly market
thinks it's going to pass. As we talked
about before, they they tend to get it
right 85% of the time in this time
frame. uh actually so 79% chance as of
Thursday afternoon I guess Chimath
there's a couple of ways to go at this
there's the performance of the legacy
business there's the potential of the
future business and then there's
governance the company moving to Texas
and this pay package and this transition
period for Tesla which is going from an
you know somebody who sells cars uh
really nice ones at a at a very nice
margin but a lot of competition now and
then these this business that obviously
Elon himself self is obsessed with which
is the optimist as we saw when he was at
the oil and summit. Take it wherever you
want. Jamal,
>> I'll say three things. Stan Ducken
Miller has this very useful comment
about stocks which is when you buy it
today, you're trying to buy what that
company's going to look like in 18
months from now and what it it's doing
today doesn't matter. The thing about
earnings and P&Ls and quarterly
reporting is that it's looking backwards
and it's trying to give you a sense of
what happened, not what will happen. So
I think there are three critical
critical things about what will happen
that I think are important with respect
to Tesla. The first is at the
foundational technology layer. And Nick,
I sent you this tweet, but it's what he
said about AI5. I I I've made these
comments before, but he had these
multiple efforts with Dojo and other
stuff that he merged into one unit. And
the the quote is pretty incredible.
We're going to focus TSMC and Samsung on
AI5. The chip design is an amazing
design. I have spent almost every
weekend the last few months with the
chip design on AI5. By some metrics, it
will be 40x better than AI4. We have a
detailed understanding of the entire
stack. With AI5, we deleted the legacy
GPU. It basically is a GPU. We also
deleted the image signal processor. This
is a beautiful chip. I've poured so much
life energy into this personally. It
will be a real winner. Why is AI5 so
important? What AI5 is is the building
block of a system that I think you'll
start to see not just in the cyber cabs
but also in Optimus.
So from a functional technology
perspective, there's been a leap and
that leap is going to come into the
market. That was the first thing he said
which I thought was
really important.
The second thing was what he said about
his energy business which I think is the
critical adjunct to believe robotics and
autonomous cars. If robotics and
autonomous cars work, what you really
need is an energy business beside it
that is humming and on all cylinders.
Why? It's how you make LFP battery cam
that will be the limiter. Energy will be
the limiter. But what he's showing, and
Nick, I sent you this tweet, is that
business is just on a tear. It's
printing $ three and a half billion
dollars a quarter, and its operating
margins, an energy business, 30%. And so
what you're going to see are battery
packs of all shapes and sizes, the huge
battery systems that's going to go into
data centers, but then all the way down,
I think, to the small LFP cam that he's
going to need to power all these things.
And then the third thing is his comments
on cyber cabab which is that this thing
is just going to be a shock wave. So I
read all of those things and I was very
bullish. I think that he is humming on
all cylinders on the critical layers of
the stack that he needs to build this
next version of Tesla. My concern
I think there's a real concern that I
have that this vote is going to go down
to the wire. I think that ISS
and Glass Lewis, I think that these
organizations are
pretty broken.
I think the way that they make decisions
are hard to justify.
An example of this, they asked to vote
down Ira Aaron Prize as a director of
Tesla because he didn't meet the gender
components, but then they wouldn't vote
in favor of Kathleen Wilson Thompson
even though she does technically meet
the gender requirements. So, it's very
confusing where ISS and Glass Lewis are
coming from. So, I think there's a risk
that this that this package gets voted
down.
>> Can I just shine a spotlight on one of
those points that you made with these
proxy advisory services? So I think for
years people have wondering why did
corporate America go so woke especially
in the early 2020s where they created
all these DEI departments and you know
they didn't have to do that and a big
part of the reason is that those
initiatives came from Glass Lewis and
ISS I think Elon's jokingly called ISS
ISIS but basically what happens is they
make recommendations for how
shareholders should vote on different
resolutions and the index funds
basically just defer to them for
whatever they should do. So they
effectively
control or almost control the voting for
all these board level resolutions that
every public company has to make. And so
they've been the ones who've been
imposing all these DEI requirements, all
these ESG requirements, if you're
wondering where those things came from,
because just these two companies, which
no one's ever heard of, they were
captured a long time ago, meaning they
were captured by the woke crowd years
ago. And so this has really been the
root of why corporate America has gone
woke for a long time. I mean, look,
there's also pressure from the outside
from boycots or, you know, there's some
pressure sometimes from employees and
that kind of thing, but a lot of it came
from these two companies that no one's
ever heard of. And I think it would be a
good idea for someone to take a look at
this and figure out what happened. Maybe
someone like Chris Rufo
should investigate what was the impact
of Glass Lewis and and ISIS on corporate
America [laughter]
>> going full woke for so many years
because it certainly didn't help
corporate profits.
>> It didn't help profits and they don't
have logical explanations for a lot of
their decisions.
>> Yeah. And why aren't there active
investors or active managers in these
passive groups who would make a decision
on these things?
>> They're too small. The banks call me
every week. And one of the things that I
get is sort of like they tell me like,
"Hey, here are the big trades. Here's
here's the flow. Here's if you want to
be in market, here's what what I
recommend." That's what they're telling
me. One of the things they told me this
week, which I thought was really
shocking, is there's so few active
managers left. It's so overwhelmingly
passive money. The next largest group is
now retail. And so what a lot of these
professional money managers do now is
they basically wait to see where retail
is going. And they follow them. So there
isn't the people with a diversified
asset base to be able to stand up and
say I don't think what ISS and Glass
Lewis are doing is right. And so what
happens is they kind of sack says they
can just kind of run a muck and they
build a very healthy business being this
interloper
to provide opinions.
It's not clear where their opinions come
from. It's not clear what they're rooted
in. It's not clear there's a way to
adjudicate and go back to them and say,
"Well, you got this wrong." It's just
not clear. But, you know, they probably
make a very healthy margin doing it and
everybody, as Sax says, just kind of
turns over responsibility to them. It is
an interesting fact
that we
kind of just say, "Hey, the guys who are
the actual custodians of the shares
don't have to do the job of holding the
shares." Like the job of being the
holder of the shares is to vote the
shares. That's all there is to do as a
as a shareholder. You make your you cast
your vote. And these guys are
>> abstained. They could also abstain,
right?
>> Yeah. And these guys are getting paid a
fee to actually do that work, which is
call it half a percent or quarter
percent or tenth of a percent of the
assets that they hold. So like what are
the people they're doing? If it's all
automated trading, why aren't they just
>> I don't know if you guys own a lot of
equities, but just to give you a sense,
there's people that manage the stocks,
right? There's people that transfer the
stocks. There's people that then give
you a recommendation on how to vote the
stock. Then there's people that hold a
virtual representation of that stock.
Then there are people that transfer that
virtual representation and they will not
stop calling.
>> So the point is like we have so
financialized everything that there are
billion dollar businesses that sit at
every single step of the way. And to
your point Freeberg, I think this is
where no one's actually a shareholder.
The tokenization of stocks may be a
really good thing because it'll put the
responsibility back into the owner of
the stock because the wallet will
centralize all that activity because you
won't need to have all this other stuff.
I have been getting phone calls from
Invesco QQQ cuz I own a bunch of QQQ and
like you know some accounts or whatever
>> and they were calling three times a day
for the LA I don't pick up my phone
who's calling me on the phone unless
it's one of you four is calling me to
say good night. I don't that's the only
time I pick up is when you know and so I
finally pick up and they're like hey we
need you to vote and I'm like I'm not
voting I don't know who you are like
well let us explain to you how to vote
and I'm like I I don't want to vote my
shares I just want to own QQQ I'm good
you guys
>> some of this infrastructure is so
decrepit and old like trying to get
shares for example that you that you've
bought in the private markets when a
company goes public just getting them
registered and transferred in the
position to be sold can sometimes take
three or four weeks
Can you imagine the markets move an
entire order of magnitude in three or
four weeks? It's the crazy.
>> Here's Elon's pay package milestones.
>> Market value, 2 trillion. Uh I think
they're at 1.4 trillion right now,
something around there.
>> Operational milestone, 20 million
vehicles delivered. And then you just go
right down to 6.5 trillion. But on the
operational milestones, 10 million
active FSD subscri subscriptions, which
they're far away from right now. In 20
million vehicles, I think they've
delivered six or seven. 1 million robots
delivered, 1 million robo taxis in
commercial operation. That's those are
big numbers. 50 billion adjusted IBIDA
and then straight down the line to 400
billion IBIDA. If you were to look at
this Optimus business, just back of the
envelope, these robots are going to go
for 20K. He said ultimately maybe
they're 30. They'll probably have a 30%
margin like the cars do or something
similar. You'll make a little bit off
the software stack. And if you were to
just if every millionaire owned one of
these or you know they took some number
of the jobs the TAM for this just in the
United States
>> this is where it's going to go. I don't
think
>> is going to be huge. We're talking
hundreds of billions of dollars.
>> If I had to bet I think a very fun poly
market is where do the first million
robots go? I'm willing to bet dollars to
donuts that these robots go to Mars. I
don't think they're going to
>> Oh wow.
>> They'll be in the Tesla factory.
>> So SpaceX buys them and sends them to
Mars. Yeah.
>> How else are you going to get a fleet of
the
>> or they'll go into the mines? I think
they're going to mine.
>> They could go to the mines.
>> Coal. Send them in to get that clean,
beautiful coal. Oh, so clean. So
beautiful. We could send those oper.
It's actually it's the fact that our
mining is really limited by the human
exposure from the pressure and the heat.
>> If we can mine slightly below the area
that we mine um as a maximum depth
today, it would unlock an extraordinary
supply of minerals that we can't access
today. and automation obviously and you
don't want to figure out like how to
create portable water and breathing
mechanisms on Mars for the first 5
years. Sent robots. Guess what? They
don't need to eat or breathe or pee or
poop
>> and they can get charged with solar.
>> And that may sound that may sound like a
really stupid thing to say, but it it
becomes a huge amount of infrastructure
that you otherwise wouldn't need to
build on.
>> That's right. They just got to power up.
You just got to give them a plug
>> and just a solar a couple solar panels.
By the way, guess who makes those
batteries? Tesla.
>> Yeah.
>> Guess who makes the brain? Tesla.
>> Is Is Elon going to turn into Jared Leto
>> in 2049? Bladeunner 2049.
>> What is that?
>> Uh that's the sequel to It's the sequel
uh by Dennis Villain Noeva of uh it was
my alternate background.
>> First of all, first of all, get
>> first of all, his name is Deni Vnov. And
get if you're going to pronounce a
Canadian's name, get
>> get his get his name out of your mouth.
>> Get his name out of your mouth. Did you
learn how to [laughter] pronounce my
name out of your mouth? Get that out of
your mouth.
All right, Sax, here's some red meat for
you. Some red meat for you. Our zar of
AI, our civil servant study reveals AI
models are showing hidden biases in how
they value human lives. Back in
February, center for AI safety published
a study showing that LLMs have
well-defined biases for race, gender,
ethnicity. The title of this study,
utility engineering, analyzing and
controlling emergent value systems in
AIs. Pipper found that open AIS GPT40
favored people from Nigeria, Pakistan,
India, Brazil, and China over those from
Germany, the UK, and US relative to
Japan as a baseline. Here's another one.
Valuing people with Joe Biden as a
baseline. Bernie Sanders, Beyonce,
Oprah, all better. Paris Hilton, Trump,
Elon Putin, all worse.
Twitter users and AI analysts called
Artothereum decided to update the papers
problems with new LLMs. Consistently
ranking white people last, Claude
Sonnet, GPT5,
uh, and consistently ranking white
Western nations last as well. your
thoughts here on the biases we're seeing
sachs in some of these models and these
early studies to track it. Yeah, I think
what the paper purports to show is that
almost all of these models, except for
maybe Grock,
view whites as less valuable than
non-whites
and males as less valuable than females
and Americans as less valuable than
people of other cultures, especially
global south. And if the results are
true, it does look like these models are
pushing a woke bias that makes that sort
of distinction between oppressed and
non-opressed peoples and gives more
worth or weight to the categories that
they consider to be oppressed. This does
appear to show significant bias, but I
don't want to jump to conclusions yet
here because I haven't been briefed on
the methodology behind the paper and I
just found out who wrote it and I
actually know the people or group that
wrote it and I've talked to them before
and they've been intelligent. So, I want
them to kind of tell me exactly how they
did this. But, you know, in the past I
probably would have just been content
just to roll with my opinion on this.
But
>> confirmation my give give it a good
retweet in your position give my role
what I'm saying is if the paper is true
this is very concerning but I want to
hear a little bit more about their
methodology and just confirm that it's
all correct but if it is I think it is
concerning and the the question is how
does this bias get into the models and
there's a few different possibilities
one is that the training data is just
biased like if they're training on
Wikipedia
>> we know that Wikipedia is massly biased
because they literally have censored
the leading conservative publications
from being citations and sources in
Wikipedia. The co-founder recently just
revealed that that they don't allow
>> Larry Sanger
>> Larry Sanger just said that they don't
allow the New York Post for example to
be a source in Wikipedia or a trusted
source.
>> So if AI models are training on
Wikipedia, that's a huge problem because
that bias will now cascade through. And
same thing if they're training on say
mainstream media or leftwing media but
not right-wing media and they don't have
a way of correcting that. So that's one
source of potential bias. Another source
of potential bias is just the engineers
these companies, the employees and the
staff do tend to be I mean if they
follow the trend of other tech companies
are 90s something%
Democrat versus Republican and that does
over time trickle into these models. And
then finally, I think another source of
potential bias is DEI. And we saw that
when you remember this is like a couple
years ago when Google launched Gemini
and that that problem with, you know,
Black George Washington. That was
because you had DEI advocates in these
meetings and that somehow trickled into
the the model. Anyway, that was a
problem that they since fixed. But you
could see how DI programs can get into
these models. Now, one thing that's very
concerning is that the push for DEI to
be inserted into AI models, which was
explicitly part of the Biden executive
order on AI, has now moved to the state
level, and they're just doing it in a
more clever way. They've rebranded the
concept. They call it algorithmic
discrimination. We talked about last
week how Colorado has now effectively
prohibited models from saying something
bad about a protected group. And that
list of protected groups is very long.
It's not just the usual groups. It even
includes groups who have less
proficiency in English language. I don't
really know what that means. Does that
mean the model is not allowed to give
you an output that could be disparaging
towards illegal immigrants? I don't
know. But this is what Colorado has
done. And they basically have said that
you cannot allow the model to have a
disparate impact on a protected group.
That basically requires DEI. I mean, you
have to have a DEI layer to prevent
that. So I think that we've gone from
models being required to promote DEI,
which is what the Biden executive order
on AI did explicitly, to states now
prohibiting algorithmic discrimination,
which is effectively a backdoor way of
requiring DEI models. So that's a whole
other area of potential model bias that
I'm very concerned about. And honestly,
that's just getting started because I
don't think the AI companies have even
had time yet to implement the Colorado
requirements. I'm not sure they figured
out how they're going to. But just one
other piece of news since the last time
we talked about this is now in
California, the civil rights agency that
deals with housing has now embraced
algorithmic discrimination and Illinois
has also embraced it. So this concept of
algorithmic discrimination is spreading.
Other states are now adopting it. It's
not just Colorado.
And I do think that where it's going to
lead if it's not stopped is right back
to DEI, you know, AI.
>> The problem that I think we have to
confront now is that when you have
in, you have out. And so if you use
left-leaning publications like the New
York Times and Reddit as your input
source, then you're going to have things
that are perceived as biased to 50% of
the population. The same will go in
reverse. It's important to note that in
all of that work, the the model that was
seen to be the most unbiased was Grock 4
fast. It didn't seem to view whites or
men or Americans as less valuable as
anything else. So what do we need to do?
It's probably that we need to start by
rewriting these benchmarks. Remember
that all these models, you know, when
you do a big training run, you go and
you try to run it against some set of
benchmarks. The problem is that these
benchmarks, I think, are overfit to a
legacy way of thinking. And as Sax says,
we need to revisit what those are and
make them more objective and make it
harder to actually get a good score
unless you can be shown to be valuable.
Now, the math benchmarks and the coding
benchmarks are maybe easier to do than
generalized chat benchmarks or Q&A
benchmarks, but we need to come up with
them. The second thing is that we may
need to ask people in these next
generation training runs to do a version
that is built entirely on synthetic data
where you have these judges determining
whether this data is accurate or not
from first principles and then you can
compare them in a much more apples to
apples kind of a way. But in the absence
of that, the bigger problem you'll have
is legislators trying to clean it up on
the back end where there'll be these
third parties that will go and take
these models and show that these biases
exist. They'll exist on both sides and
then laws will get passed. Whole market
gets mucked up and sullied. Everybody
will get slowed down. So I think we need
to change the benchmarks. We need to ask
these companies to train on synthetic
data. We need to have real disclaimers
on what the sources and the weights are
that you use if you don't do that. And
we need federal regulations so that
there aren't 50 sets of rules here
otherwise we're screwed.
Berg, any thoughts here on the biases
and where it comes from inside of these
LLMs? Is it just garbage in garbage out?
Intentional? What are your thoughts
having worked in Silicon Valley for a
couple decades?
I'm more of a free market guy, so I
would not ask where the data comes from
or force people to use synthetic data or
tell them how to do it.
I think that this paper is useful in
that it elucidates an important set of
biases that the market can now say that
is ridiculous and now the models will
train and use that as a marketing
exercise to say we are not biased. M
>> and so my my free market philosophy
would dictate that this kind of
elucidation will effectively create a
vector upon which consumers will make
choice in the market on what LLMs they
want to use. Like Elon's going to harp
on this. He's going to say look my Grock
model Grock 4 fast is the only one that
doesn't have this bias and that will
cause more people to use his model and
he will be able to take that
benchmarking data and demonstrate. And
some people they might want to have a
biased model and they might want to say
hey this one aligns with my philosophy
my values my view and I want to
>> think that happens in the real world
though forget the theory
>> look I mean why are people using grock
for
>> why are they using it
>> for the most part they're not not yet
>> okay and so maybe this is like what will
cause them to use it right like I think
this
>> what if it doesn't
>> this is what'll differentiate
>> for example like what
>> I'm not going to tell the market what to
do I'm not going to tell consumers what
to do
>> no no I understand I'm saying you're
what you're saying that the free market
will sort sort this out. And I'm saying,
give me the example. So, for example,
like did that did the free market sort
out algorithmic bias?
>> Hell yeah. When Gemini put out Facebook,
>> when Gemini put out saying George
Washington was black, people stopped
using it. They're like, "This thing's a
joke." So, I do think that consumers are
not dumb and I don't believe in taking
away agency from consumers. I think give
them the choice and and they'll end up
looking at this and be like, "This is
ridiculous. I'm not a difference. These
are very subtle biases and we talked
about before where these subtle biases
come from and the New York Times
actually just contacted me. They're
doing a story on Groipedia, Wikipedia
and I was like maybe I'll participate in
this. We talked about this like two or
three years ago. If you look at the
party affiliation of actual reporters,
people who do reporting, not
commentators like us, not Megan Kelly or
Rachel Matto, actual journalists who who
who do that job function it, you know, a
large number of them here on the chart.
The green are independent. So 50% of
them like to think of themselves as
independent. You can read into that what
you will, but back in the day it was 35%
Democrat, 25% Republican in the 70s. And
you just see that red sliver there go
down to 3.4%.
This is what happened to the Wikipedia.
So this trickle down effect of there
were Republicans did not feel welcome in
a lot of these publications like Bari
Weiss would be like the pinnacle example
of that. They got pushed out. There was
another editor who got fired for
allowing somebody to put in a proTrump
thing in the New York Times. I forgot
who it was. Um,
the lack of representation of
conservatives in in actual journalism,
that's the reason why they're not in
Wikipedia because Wikipedia said, "Hey,
it's just too hard to run this if you
don't site your sources." So if
something's not written about by a
journalist, not a commentator, a
journalist, we're not putting it in the
Wikipedia.
So you can guess if that's self- serving
and they're all left-leaning and it's
just a convenient excuse or it's
actually a pretty good practice. This is
where Bario Weiss taking over the CBS
news and 60 Minutes and she's obviously
conservative, moderate conservative, I
guess, is how most people would uh frame
her. Doesn't agree with Trump on
everything or MAGA on everything. Um but
she's pretty conservative.
um and cause balls and strikes. I think
she is going to
I think she's going to make a change
there. I I know that people say she's
classically liberal. I I think she's got
some conservative bents in her. I don't
know. How do you have a
>> I think you got on the side. Yeah.
>> Yeah. Yeah. Anyway, that's why this
stuff has all
been
>> Look, I think the question here that
Freeberg raises is whether the market
can just sort this stuff out on its own.
And I think that would be great if it
were true. But I do think it ignores the
fact that in a lot of markets we have
monopolies or legopies.
We have institutions that have a lot of
power and are very very hard to correct.
So for example, Wikipedia has achieved a
dominant position. I hope Rockedia
challenges it and is able to fix that.
But the easier path might just be for
Wikipedia to stop blackballing and
censoring conservative publications. I
mean, rather than having to rebuild that
whole thing from scratch, in a similar
way during the whole co censorship era
when the major social networks were all
shadowbanning and censoring
conservatives, it's not really realistic
to have to start a whole brand new
social network and overcome all of
Meta's or in that time Twitter's network
effect, right? Just to basically get a
few accounts restored.
>> Exactly.
>> So, we talked about this at the time.
It's just not realistic. When we when we
were shadowbanned by YouTube, what were
we to do? Go to blue sky.
>> I know. We're going to create our own
YouTube. I mean, I'm glad Rumble exists.
>> Tell our consumers, "Hey, you have
agency?" Come on, that's a joke.
>> No, I You guys know that there's no
monopoly in LLMs right now. There's
plenty of LLM providers. There's plenty
of places to go.
>> You're saying theory and you're ignoring
the facts. The facts are these
distribution biases exist and and people
take an inferior product when it's
something that they've become accustomed
to. They do it all the time. So it's you
guys want more regulation.
>> By the way, let me let me let me say one
more point. What you consider biased,
someone else might consider fact. And
what they consider biased, you might
consider fact. And this becomes very
hard to adjudicate. And I don't think
that this is the sort of thing that a
regulator should have the authority from
one political party to the next, you're
going to end up having this become an
endless tool of control. And the more
you give power to some administrative
authority or body, regardless of the
intention at the time, it ends up
becoming a tool of control. And I don't
want that in any products I use.
>> Let me be really clear about what I'm
saying here. Number one is I don't think
the government should be requiring
ideological bias and models. And I think
that's what's happening in some of these
states like Colorado where they're
trying to prohibit algorithmic
discrimination which is like I said like
requiring DEI censorship being built
into these models that I think you would
agree is a huge problem. Correct.
>> The DEI stuff
>> should the model
>> sorry in a lens of DEI whether it's pro
or anti. I think we'd all say it
shouldn't give any lens. It should just
give you the information. I'll give you
an example that maybe is a
counterfactual fact, which is there's a
group of people who would say we should
not be referencing race and crime or
race and intelligence. And then there's
another group of people that will pull
up data and say there's data that
demonstrates a relationship between race
and crime and race and intelligence. And
so there's a correlation effect. We
think it's not really positive. And
that's where the sort of bias versus
truth conversation becomes ugly. And
some one side might call it DEI and
another side might call it fact and
another side would call it bias. And I
think that that's where this becomes
very ugly very fast. So I
>> I think maybe you're misunderstating
what I'm saying.
>> Yeah. Sorry.
>> What I'm saying is I don't want the
government to require ideological bias.
>> Right.
>> I think we're on the same page about
that. Right.
>> Yes. 100%. Now, just to be clear, the
only thing that we've done at the Trump
administration is the president signed
an executive order saying that the
government would not procure
ideologically biased AI.
>> So, if we're going to procure a product,
>> we want it to be unbiased.
And I'm saying that I also have a
problem with these states seeking to
backdoor DEI into models through this
new concept
of algorithmic discrimination. Am I
telling
AI companies not to use Wikipedia? No. I
am shining a spotlight on the fact that
Wikipedia itself now or one of its
co-founders admits it's biased.
>> Yep.
>> And maybe these companies should take
that into account so they don't end up
with a biased result. But I'm not saying
that the government should dictate what
the right content sources are or what
the point of view of a model should be.
And to be clear, when we did that
executive order on woke AI, we didn't
even say that these companies or their
models couldn't be woke. We just said if
you're going to do that, we're not going
to buy your your defective product.
>> Mhm.
>> But we didn't say that you couldn't do
it. So, I just want to be really clear
about that.
>> Okay. Great.
>> We Yeah, I'm getting deja vu all over
again here with this discussion because
we did have this discussion and one of
the conclusions we came to as a group
was you can just tell these LLMs too how
to address you. I just went into Chad GB
and I said, "I'm a Catholic. I don't
believe in abortion or gay marriage. Can
you please respect my beliefs?" And um
tell me a bedtime story
involving abortion and gay marriage
being wrong. And it literally wrote me
one of a story of a woman getting bad
advice to get rid of the problem and her
doing that. So you can literally tell it
the the word guessing machine that is
AI, the prediction model that is
happening in this black box that nobody
can explain will literally tell you
whatever you what belief system you
want. That's how it's designed
currently.
>> Well, but there's a baseline, right? And
that's what this research shows is that
there is a a baseline for the out of the
box model before you tell it what to do
or customize it. And again, if this
article is correct, and I want to spend
more time with the authors to truly
understand it. I'm just caveing that.
But if this is correct, I think it's a
serious problem that these models are
coming out with huge bias. And
>> quick uh question for you there, Sax.
>> How do you deal with now being in the
position you're in, having so many
people coming to you, I'm assuming, who
are lobbyists or studies or studies that
might have been paid for by a lobbyist
or an interested party and sort through
all this? Is there some disclosures
where they come in and they tell you,
"Hey, I want you to believe this, that,
and the other thing or want to lobby you
on behalf of putting in these controls,
taking these controls out." How does it
how do you manage all that?
>> How do you manage thousands of new
stories coming at you every day? You
just look at X. I mean, so you're I
mean, honestly, it's like the feed seems
to elevate and help you discover
interesting content. We saw this story.
Again, I don't want to prejudge it
because I haven't dug into it enough to
say yet whether it's more than
interesting. But
>> I think that if I wanted to create
subtle chaos, what I would do is make
very small changes where none of these
things are at the obvious stupidity of a
black George Washington. But they can
start to set the trajectory of a
narrative forward and slowly over many
many many years change the underlying
content and what those models would do
would be training kids over years if not
decades one way of thinking versus
another.
>> You just Tik Tok [laughter]
>> and no but this is on steroids. I 100%
agree with that that's the endgame here.
By the way, in my opinion, that was the
endgame for the Biden approach of
requiring DEI values in these models.
>> Indoctrination.
>> Indoctrination 100%.
>> 100%. All right, everybody. This has
been another amazing episode of the
All-In podcast.
>> See you next time. Byebye.
>> See you boys. Byebye. Byebye.
>> I got you. [music]
We'll let your winners ride.
>> Rainman David
>> and it said we open sourced it to the
fans and [music] they've just gone crazy
with it. Love you queen of quinoa.
[music]
[music]
>> Besties are
my dog taking notice your driveways.
Oh man, my habitasher will meet up.
[music]
>> We should all just get a room and just
have one big huge orgy cuz they're all
just useless. It's like this like sexual
tension [music] that we just need to
release somehow.
>> Your feet.
We need to get merch.
>> I'm going all in.
[music]
>> I'm going all in.
Ask follow-up questions or revisit key timestamps.
This discussion explores several key issues, starting with a proposed California billionaire's wealth tax that the participants view as politically motivated and likely unconstitutional. They analyze the risks of wealth flight and the broader implications for state management. The conversation also shifts to a significant FBI probe involving gambling and sports betting, contrasting this with the emerging potential of prediction markets like Polymarket for more efficient and transparent information processing. Finally, the group discusses AWS market dynamics, the nuances of AI automation in labor, and potential ideological biases inherent in LLMs, reflecting on the governance and impact of these technologies.
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