Trump's First 100 Days, Tariffs Impact Trade, AI Agents, Amazon Backs Down
2695 segments
I gotta wrap, guys. I got to catch a
flight to Miami. Let me do a closing
here. If you want to keep going, you're
welcome. Two. Three. Two. The plane.
Just wait. Just text the pilot and just
tell them you're all right. Listen. I'm
not burning all the allin credits, so to
speak, and all of our tokens. I'm
kidding. I'm kidding. I'm kidding. I'm
not flying private to everything and
then putting it on the all-in budget.
The rest of us are flying Southwest
for
your dictator Jim Pol. It's a strange
concept. Yeah. David S. I What does that
mean, Dave? When's the last time you
flew a commercial? Clinton, I haven't
missed a flight in about 15 years.
[Music]
Let your winners ride.
[Music]
We open sourced it to the fans and
they've just gone crazy with it.
All right, everybody. Welcome back to
the number one podcast in the world.
We're back. We're back and what an
amazing panel we have today with us.
Ryan Peterson, friend of the pod, is
back on the show. He's the CEO of
Flexport. How are you doing, Ryan? Did
you get any skiing in this year? I know
you like to ski in the deep powder like
I tried, man, but it was a busy year for
work and I got two little kids. I I did
a few days. Okay. So, you're Oh, yes. We
all forgot you gave control of your
company to somebody. It got a little uh
shaky, got a little contentious, and
then you took the reigns back. How's it
been being back in the pilot seat? Oh,
that was a year and a half ago. So, it's
a distant memory for in in flexport
time. That's like a decade. We've uh
yeah, really had an amazing run.
Although, these tariffs, I mean, I guess
that's why you guys invited me on. These
tariffs have kind of made a lot of
created a lot of new uncertainty in the
flex sports world. Okay, so we'll
definitely get into that. and of course
fan favorite back for his fourth
appearance on the pod. I I I was so
first of all I saw the comment I I saw
the comments last time I was on. I'm I'm
officially not a fan favorite but uh
glad to be back on and I will be I will
be representing free markets uh in uh in
this uh uh in this version. What do the
comments say about you? It was like uh
you know like uh loves Biden uh you know
to totally beta you know all the uh
lover beat soy boy you're filling in for
me though. Um I think so. Yes. I was
trying to represent uh I was trying to
represent libertarian values at the
time. But uh but I love this that the
leftists are embracing Milton Freeman. I
think it's all worth it if that's what
comes out of all of AOC AOC is going to
be a complete free market uh person
soon. Yeah, free market months are
coming soon. Embracing free market
values and the stock market, right? Yes.
Exactly. Because any decline in the
stock market is Trump's fault. So now
they're they're embracing the stock
market. Well, unfortunately
unfortunately the one day that he said
it's Biden's market, it was a it was a
green day. So that uh that didn't help
the case. I mean gosh uh well listen,
it's another massive green day already.
All that matters to me is that Uber is
the anti-tariff stock. It just does
great. It's not impacted by tariffs. So
here we go. with Chimoth. It started
already. We have TDS on both sides.
We've got Trump derangement syndrome
from Aaron. Wait, no, no, no, no. I want
to be defender syndrome from Sachs.
We've got both. Defender and
derangement. Here we go. Syndrome. Trump
bias syndrome on your part. Who? Me? Me?
I call balls and strikes. What are you
talking about? Let's get started. It's
starting already, folks. It's going to
be a great episode. Lots of excitement
with us again. Jason has the uh the rain
self-sabotage. Find every way to not get
rich syndrome. I do. What are you
talking about? You guys said you're buy
me out of this thing and I can get the
hell out of here. You know how much my
shares are in all in worth? For the love
of God, write a check.
Get me the hell out of here. I just may.
Oh god. I mean, I'm going to be a
terror. If Uber breaks 88, that's my
number. 88 is the number. You're all
when that happens. Uh, and we're getting
close. All right, let's get started
here. We have so many topics to get
through with us again. David Saxs. Hey
David, you're doing uh more episodes
now. The audience wants to know. I don't
know if we're allowed to make any
initial announcements, but people are
asking me on the streets, in the
airports, in the comment threads. Is
Sachs back?
Well, the ratings are back ever since I
came back to the show. That's for sure.
The ratings are back, show, but is
measurable back? Is Sachs back?
Well, I'm back as much as I can. Mhm.
And you are a partial employee of the
government. You can do 130 days a year
or something. Is that still the status?
Yeah, it's roughly half after work days.
Got it. And so what do you do? You have
a you have a punch clock there. When you
get to the White House, you punch in,
you punch out like Fred Flintstone or
what? Are you keeping track of these
days? How do you do it? I know why you
don't know this because you have yet to
be invited to the White House. But
that's interesting. I got not how it
works. Normal people just people just
badge in and badge out like that. Badge
it and badge. It's a natural place,
Jason. I I mean, literally, it's
interesting. There's a new private club.
It's incredible that you have thoroughly
prepared for this week, just like
always. I am always prepared.
Interestingly, I don't know if you
gentlemen know this, Ryan and Aaron.
There's a new private club in DC that uh
Don Jr. is doing and Sax is a member.
Chimat's a member. And I just checked my
Gmail. I checked all three of my Gmail
accounts, everything. No invite. You
must have gotten lost again.
Did you send a paper one? Was it like
you sent a goal card or something? Sax,
how do I get invited to this private
club? What is this private club?
Everybody wants to know. Well, we'll be
happy to have you as a guest. Okay. Do I
have to wear a MAGA hat and have the
courtesy MAGA hats at the door? If you
want to be a member, obviously there are
dues and a membership fee, and Okay. I
just didn't want to waste your time with
an offer that I knew you wouldn't uh be
willing to accept. It's only $500,000 is
what I read. Is that true?
That's true for for founding members who
have additional benefits, but there's
also a lower level that's the more
reasonable membership level. So, I think
people are getting a little bit carried
away with that number. Got it. Okay.
That's why I wanted to clarify. Yeah.
Yeah. There's like 10 founding members
who have that level and then there's a
lower level for more average member.
Chimatha, are you one of those 10? Yes.
Do you pay more if you have TDS or how
does that work? TDS premium. What do you
talking about? Jal specifically or what
are we talking about? the TDS search
charge. Asking for a friend. It's a TDS
search charge. You put the tariff search
we just we want a place to hang out in
DC. All of us have been to clubs like
the Battery or I don't know if you go to
LA like the I think places. There's
Malibu Beach House. There's Bird Street
Clubs. There are places in Palm Beach
that are really cool. In any event, we
wanted a place to hang out. And the the
clubs that exist in Washington today
have been around for decades. They're
kind of old and stuffy. To the extent
there are Republican clubs, they tend to
be like more Bush era Republicans as
opposed to Trump era Republicans. So, we
wanted to create something new, hipper,
and Trump aligned. Since I'm in the
government, I can't be an owner, but I
told him I'd be happy to be member
number one. And so, I, you know, said,
"Great, let's let's do it." And so,
we're creating a place for us to hang
out. That's basically it. We want a
place to go where you don't have to
worry that the next person over at the
bar is a fake news reporter or even a
lobbyist or something like that who we
don't know and we don't trust. Got it.
So, it's like any private club. You want
to go somewhere that's highly curated.
This private club uh movement is
happening all over the country, not just
Washington. But we're creating something
that didn't exist before in DC, which
again is younger, hip, Trump aligned,
Republican. We're uh I I actually
started a Kamala club in um in the Bay
Area. So um so we're Yep. I don't think
anyone would pay to join that though is
the problem, right? I mean, it's an open
bar, that's for sure.
Where where do where do you guys meet
up? In like Redwood City. We actually
meet up at the uh at the at the trade
ports. All right. was we're 100 days
into Trump 2.0. It's just a random 100
day thing, but everybody's talking about
everybody's hand ringing. What has it
been like for this first 100 days? How
does it compare to Biden? How does it
compare to Trump 1.0? 143 executive
orders, the most ever in the first 100
days. And they're moving obviously at a
at a different pace to uh be generous.
Major indices are down 7 to 10%.
Obviously, this trade war and tariffs,
the yield on the the yield on the
10-year, it's down about 40 basis
points. There's a lot going on. Let's go
around the horn. Ryan Aaron, you're our
guest. What's your take on the first 100
days? Is it what you expected, good,
bad, and otherwise, wins and fails,
everything. I'll go first. I think it's
a whirlwind. I mean, if you look at the
uh the John Boyd, the fighter pilot, has
this concept of the UDA loop, which is
observe, orient, decide, and act. And
the concept is that if you're in dog
fighting, if you're able to maneuver
through those UDA loops at a faster pace
than your than your competition, they
get disoriented and don't know what to
do. And I I think that that's got to be
how Democrats in Washington and maybe
mainstream Republicans in Washington.
Certainly journalists are all feeling
this like there's that the Trump Trump
administration takes action and before
anybody can respond to that they have
already done like four more things and
you're like wait I forgot to actually
follow up on the other thing that they
did that I didn't like. Uh, and so it's
yeah, it's pretty disorienting if you're
if you're trying to they they can't find
a line to fall back to and go, "Hey,
we're going to push back against this
policy because they're already moving on
to the next one, the next one." Um, so
that that's like my high level
interpretation. Obviously, I come at it
from a trade angle. I think everybody
knew that Trump was going to be he he
told us during the campaign that the the
most beautiful word in the English
language is
tariff. Don't tell them it's an Arabic
word, but the most beautiful word in the
English language. And so we knew that
was coming. I think that the the the
suddenness of it all caught people by
surprise. I mean, they told us April
1st, April 2nd would be Liberation Day.
They didn't tell us that it would go
live the next week, you know, and effect
you've already ordered these goods. So,
that's one aspect that people are kind
of disoriented about. And we're gonna
unpack. Yeah, we're going to unpack
that. Aaron, your thoughts on the first
100 days? Obviously you are a Democrat
and uh you were pretty vocally not in
support of Trump. So what's your take on
the first 100 days? Any any bright spots
for you things you you know support?
Actually Sax's world I'd say has has
been a bright spot. So especially I mean
I think we have a very clear message on
AI and uh and that that that is that's
been I think a huge net positive is um
you know if you look at the the past you
know few months uh out of all the the AI
push from the administration it's
unmistakably you know pro open source
you know pro you know bring as much AI
innovation you know to the US obviously
that the tariffs you know add a little
bit of a headwind to that. I have some
very strong asks, you know, around high
skilled immigration because I think
that, you know, AI talent is going to be
super critical to to actually win the AI
war. So, so I'd say that that
directionally has has had some positive
momentum. You know, from my perspective,
this is kind of playing out almost
exactly how I thought it would 6 months
ago. And then 3 months ago, I I think
there was some signs that maybe maybe,
you know, it wouldn't play out this way.
um just based on some of the some of the
you know kind of early groups that were
coming to the White House the the the
the sort of deep business you know kind
of centricity of the White House you
know I think it was day one or two that
Stargate was announced you know at the
White House we're going to go build
massive infrastructure the case I'd like
to make you know once we talk about
tariffs is is I think there's an
alternative universe where you just lean
into acceleration as opposed to adding
headwinds but but so that would be that
would be the case of what what maybe
could have been you know very different
is we just keep double down on doubling
down on what's working while fixing the
parts that aren't working. But uh but
that would be, you know, my my uh my
judgment so far. Chimath, I mean, you've
been talking about it here every week.
You and I have uh been talking about it
pretty consistently, so I don't think
there'll be many surprises here, but
take a second and maybe assess what you
think if you had to pick a singular
thing that's gone really well and a
singular thing you think could be
improved. What What do you got? Let me
give you my overall grade.
And then I'll tell you how I get to
that. I think the first 100 days have
been a B+.
And here's how I get to that
score. There have been two things where
I think Trump
has frankly hit a home run. The first is
all of the direct
investment and specifically the foreign
direct investment into the United
States. I think it's approaching if not
it has already exceeded a trillion
dollars from corporations and
organizations and individuals from
around the world who have committed to
bringing money into the United States.
And I think strategically that's a
legacy that will live past him. So, I
think that's been an
A+. The second is we had a very unsafe
border
situation and he ran on shutting it
down. I'm not talking about the
execution of the deportations. I'm just
saying getting the illegal crossings to
zero and he's done that. So, that's been
an A+.
I think what's going to be more
controversial are these next three
things though. But in my interpretation,
I think the tariffs have been an
A and I think that the market reaction,
the stock market is only down 4%. And
the interest rate markets are, you know,
4 and a/4%. I think those have been an
A. Now the reason I think tariffs have
been an A is because it is uncovered in
my opinion how beholden we are to a
brittle supply chain and specifically to
China who is a friend but who's also an
enemy and I think that that's going to
really severely complicate
our flexibility and optionality in the
future as they do what is in their best
interests. Okay. So where have they then
not done so well? I think the documents
have been frankly a D. We were supposed
to get the Epstein files. We haven't
yet. We were supposed to get the Martin
Luther King files. We haven't. We did
get the redacted JFK files. I don't
think there's been very good
communication about why it's taking so
long. So I think it's a very small
narrow thing, but I think it had a lot
of attention on the way in. I think
the communications of the
tariffs and the back and forth have been
a C. I think the markets were not
led in enough of a way where they could
absorb the
volatility. But if you take it all in
its totality, I would give it a B+. I
think it's been a very productive 100
days. And when you look back, I think
in, you know, 3 years, four years, 5
years. Okay, we've made some important
progress. Saxs, obviously you're part of
the administration, so I'm not sure
exactly how to ask you this, but you s
you heard some nice compliments about AI
from Aaron. I I happen to agree with
those. I actually agree with uh a good
portion of the crypto stuff, too. I
think actually getting those uh
tightened up, which are your two zones
of excellence and your area that you're
focused on. I think you've done a great
job there. So, just bestie to bestie,
great job there. What's your Thank you.
What's your take overall? You know, it's
kind of hard, I guess, to ask somebody
in the administration to criticize the
administration, but hearing everybody
else's take, what's your response,
maybe? Well, I would I would highlight
three main areas that I think are big
accomplishments for the Trump
administration in the first 100 days.
So, so number one has to be the border.
Like Jamas said, I think you have to
give the administration an A+ on this.
They've completely stopped the border
crisis. I think we all knew that Trump
would take action on this because it's
one of the main issues he campaigned on.
I think if you had asked any of us, you
know, 4 months ago, would this problem
be completely solved? Meaning, border
apprehensions completely stopped, border
completely sealed within the first 100
days, I don't think we would have
believed necessarily that it would get
done so quickly, but it has. Uh, recall
that for 4 years during the Biden years,
we were told for the first 3 years that
the problem didn't even exist. Whenever
the videos were published of caravans
coming or throngs of people running
across the border, we were told that
these were cherrypicked videos on Fox
News. It wasn't real. Finally, in the
last year of the Biden administration,
they said, "Okay, we're finally going to
do something about it." They took some
limited actions and they said that doing
more than that would require new
legislation. Well, all of that was just
gaslighting. It turns out Trump came in,
he restored remain in Mexico and other
policies, completely stopped it. He had
this line at the state of the union
which I think is exactly right which is
we didn't need a new law we just needed
a new president. So I think that's area
number one. Area number two I would say
would be the vibe shift in the culture
around wokeism and DEI. You know how
quickly we forget about this but wokeism
has completely collapsed. Uh I don't
know that anyone is endorsing in a
fullthroated way. Moreover, beyond just
sort of the cultural aspect of it, I
think we've had significant policy
changes on DEI. Trump has basically
ended DEI at the government level. He
also signed an executive order ending
the use of disparit impact for
affirmative action. This is the policy
that said that even if you have a policy
that's applied in a completely neutral
and objective way, if it results in a
disparate impact where different groups
are represented in a different way in
the outcomes, then somehow that must be
racist. And that led to essentially
engineering the results of various
populations to basically fit quotas. And
I think all of that now has fallen by
the wayside. And I think that
meritocracy and colorblindness are back.
The only hold out really has been these
universities where Trump is now taking
action against Harvard and I think that
ultimately we will win that battle. You
see that even in relatively liberal
companies the DI departments have been
cancelled and they're moving back
towards more of a meritocracy. So I
would say that that's like big shift
number two. And I think if any of us had
tried to predict that 100 days ago, we
would have thought yes, Trump will do
something about it. But I don't think we
would have predicted the total collapse
of wokeism and DEI so quickly. And then
I'd say the third area which is still in
flight is the rep privatization of the
economy. That's a term that Scott Besson
used. I think that the Trump
administration needs to reprivatize the
economy. And I like that framing of it.
And there's a bunch of different pieces
under that. I'd say number one is
Doge again ending this hogw spending. I
do think that Trump has come into office
inheriting a very weak Biden economy
that was being propped up by massive
amounts of government spending that was
not only stimulating the public sector,
but it was also gooseing the employment
numbers as well. And we knew that that
spending was unsustainable. We have to
do something about it. So, I think for
the first time in decades, we've
actually started to make real cuts in
government, real cuts in the federal
workforce. And look, we'd like to do
more, but that is a huge shift in the
conversation. There's other pieces of it
as well. I mean, President Trump has
signed a significant number of executive
orders on deregulation. There's also
been unleashing energy. He ended Biden's
EV mandate and a lot of these like green
new scam projects, offshore wind, and
he's been encouraging oil and gas
exploration. So, I think there's that.
And then I appreciate what Aaron said
about tech innovation. We did repeal
Biden's exec order on AI, which was, you
know, 100 pages of unnecessary
regulation on AI. We've ended the war on
crypto, and I think we're trying to stop
the regulatory capture that benefits
large incumbents. So, you have all these
things, and there's been other things
that that have been done on the economy
as well, but I I do think that this sets
us up for a Trump boom in the future.
It's just that a lot of these changes
take time to to play out. Okay, great.
Well done. And well, I think I think I
think we knew Sax would be very pro.
Chamas uh Chamas seems really pro other
than he wants like the alien conspiracy
files released which we'll get soon.
What is the what is the view from Jay
Cal when the where you're the the the
leftleaning guy in the in the room? Uh
you know I'm kind of independent but
yeah social liberal. You know I I look
at what all Americans believe and and
try to build some consensus here. It's
one of the things I've been trying to do
on the pod is look for where we
agree. Americans universally want the
border secured. They don't want illegal
immigration and they don't want
fentinel. So this is the biggest win I
think for Trump which I think everybody
on the panel pointed out and Sachs you
were dead right like when we were seeing
those videos some of them were 5 years
old some of them were recent. Biden
really covered up what was going on in
the border and it took years to figure
out what was exactly going on there. So
that's the biggest win possible. I I
give overall just to be brief a B
for this first 100 days and I give you
know Biden like a C minus. The second
thing that everybody agrees on is they
want to downsize the government. They
don't want waste and fraud. So I think
Doge is the other huge win. The things I
think that could be improved really just
three simple things. The economic
uncertainty is really terrible for
running a business. I'm seeing a lot of
folks in my circle on my podcasts this
week in Startups and here telling me,
"Oh, I don't know how to plan for the
future." And we're going to get into
that with this tariff stuff and the
trade war. And so, I think economic
uncertainty, we have to sort of slow
down and maybe make it easier for people
to understand what the administration is
trying to do. I think rule of law really
matters to people. People didn't like
Biden's pardons. They didn't like
covering up his mental acuity. And I
don't think people like the deportations
without due process. We talked about
that on a previous episode.
Overwhelmingly, people want Trump and
the administration to obey what the
Supreme Court says. They really want
rule of law, the third term talk. Like
eight out of 10 Americans don't like
that kind of talk. Um, and then
conflicts of interest. Obviously, people
hated the Hunter Biden stuff. They hate
the memecoin stuff. And so that's where
it could improve. crisper
communications, more thoughtful
execution, maybe less trolling. I don't
like the White House Twitter account
trolling. And then focus on what got
Trump here. You know, you all said the
same thing. What got Trump in here was
the economy. And one thing that wasn't
mentioned by everybody is the peace
dividend. And Trump is making massive
progress in Ukraine, apparently. I don't
know if it's on the docket today or not,
but stopping the wars and making the
economy boom, those are the two most
important things that he could do. Build
on that. I I totally missed that. You're
absolutely right. That's another one
where I would give Trump an A+. Nat and
I had dinner with POTUS two weeks ago.
And wait, you had dinner with Trump?
This is breaking news. Well, okay,
whatever. Yes. Well, I think it's I
think it's remarkable how much of a
Putin apologist Jake House's become. I
mean, you want to end the war in Ukraine
now? Well, you're going to you're going
to give it You're going to give it to
Putin? You're not going to stop Putin.
I'm totally in favor of what Trump's
doing in in negotiating a deal to get
more money. Oh, you want to talk to
Putin now? I've always wanted to talk to
Putin. I just don't trust him. But you
you can trust him. Let me tell you what
Trump said. So, there we go. There was a
handful of us at dinner and then he got
up to say a few words at the end and he
reminded me why I was so inclined to
vote for him, which is he talked about
his uncle
and he talked about how his uncle taught
him about the severity of nuclear war
and how people don't understand how
intense and how destructive it is and
the power of these weapons and he left
that speech at the end saying and this
is why I'm so fundamentally against this
thing and it reminded me to your point
Jason it is so easy to forget that
there's only one existential risk
save like aliens coming from the
heavens, right? There's only one
existential risk where all these issues
become fringe issues. You know, you
mentioned rule of law, border security,
foreign direct investment, tariffs, it
all goes out the window in a nuclear
war. And I was like, I am so glad this
guy's in charge because this one issue,
he never waivers.
Yeah. And I think there's all kinds of
complicated moments that could make this
an issue. And this was where my biggest
issue with Biden was was I did not know
who was in control. And I think that
Trump in the first 100 days, to your
point, I think has completely reinforced
that there are no conditions under which
he'll go to war. He has time and time
again showed find the off-ramp. And I
think that that's really healthy for
Americans to see. Yeah. And let me build
on that point with respect to to Ukraine
is we were on a glide path before the
Trump presidency that Biden had put us
on a certain path. Kla Harris gave every
indication she would have continued it.
What was that path? It was a path of
continued escalation and doubling down
in Ukraine. Recall that it was Biden
himself at the beginning of the war who
said that if we give Ukraine Abrams
tanks and F-16s or attackums or high
Mars or if we allow them to hit targets
inside of Russia, it would lead to World
War II. He actually used the word
Armageddon. So at the beginning of that
administration, they were very concerned
about how an escalatory path could lead
us into direct conflict with Russia and
World War II. And yet, despite that, at
every fork in the road where they had a
choice, they ended up doubling down.
They gave the Abrams tanks. They gave
the F-16s. They gave the High Mars. They
gave the attacks. And finally, when
Biden was a lame duck in his last couple
months in office, they did the most
reckless and irresponsible thing, which
is allow American weapons to be used to
strike targets on Russian soil. Not just
fighting in Ukraine, but on Russian
soil. Moreover, we now know from a New
York Times article that just came out in
the last few weeks that it was American
generals and American intelligence who
are planning this war. So, when you're
talking about striking Russian targets
on Russian soil, it's not just the
Ukrainians using our weapons. They're
using our targeting, they're using our
guidance, they're using our satellites.
I mean, we are deeply integrated in the
kill chain. This is the United States
being a co-elligerent in the war,
hitting Russian soil. That is incredibly
reckless and dangerous. I have no doubt
that if the Democrats were still in
office, we would be in an escalatory
spiral right now with the destination
being World War II. And I do think that
Trump has pulled us back from the brink
there. There's obviously still more work
to do. But I really appreciate the
efforts that Steve Wickoff has
undertaken where for the first time in 3
years, we've at least had direct
diplomacy with the Russians. We weren't
even talking before. We weren't even
talking before. I mean, talking is a
great thing and and and apparently we're
going to keep supplying with them with
weapons as long as they pay for them.
So, it's going to be very interesting to
see how this all hashes out over the
next 100 days or so. Let's keep moving.
I don't think we know that yet. Let's
let's wait and see on that. Okay. Yeah.
I mean, I think that's Yeah. Uh what was
reported, but you're right. We should
wait and see. Okay. Downstream tariff
impacts. We got to talk about this, and
this is why we have you here, Ryan,
since you're in the thick of it. you
tweeted a thread last week about the lag
time uh of shipments from China and when
you were on I guess during COVID you
really educated us to how the supply
chain how the supply chain
works and according to the thread that
you shared somewhere around early June
we're going to expect warehouses
trucking the entire supply chain maybe
to start to seize up or layoffs I don't
know how you would frame it Ryan but are
we asked the point of no return with
regard to the supply chain. Is there an
off-ramp for this tariff conflict war
negotiation with China in your mind?
What are you seeing on the streets and
in the purchase orders and the invoices
at Flexport? Definitely not past the
point of no return. I think we're still
right in the middle of the don't judge
the cook while he's cooking is one, you
know, like let's see what the we'll see
what it tastes like at the end is I
think a starting point here and we're
still they're still in active
negotiations. So I don't think today's
it's not static. Now the world does want
a lot more certainty and that's a big
cause of what's happened here and what
has happened is a 60% decline in
bookings of ocean freight from China to
the US. I mean so that's really really
pretty dramatic like probably exceeding
what was expected. I don't think, you
know, when they issued when they rolled
out the initial reciprocal tariff plans
on on April 2nd, it was meant to be a
54% tariff on China. Then, you know,
there's multiple cycles of escalation.
We ended up at what's now 154% tariff.
So, this is this is a lot higher than
anybody planned for. And so therefore, I
don't think anyone's planning for a 60%
decline in ocean freight. Ryan, let me
ask you a question about that. Are
people actually paying that 154%?
There's been this discussion online and
it's it's sort of unclear from the
administration and from
retailers stuff that's landing that
people ordered before April 2nd. Are
they actually paying the 154% on top of
what's landing? It's it's live now. Um
it is it was based on departure date. So
goods that departed China after midnight
Eastern time on April 9th are subject to
the tariffs upon arrival. And so now
enough time has passed that pretty much
all the ships that are arriving now left
China after April 9th when that started.
Um so yes. So what happens? People are
paying it or are people saying I won't
take delivery because it's Jason you
have you have to pay it Ryan correct me
if I'm wrong but you have to pay it at
the dock in order to get the goods
released. More or less more or less
that's true. They they allow you have a
bond in place so you can pull the goods
out before you pay but it the money's
owed at that time and then you get you
get like a two week time frame to
actually make the payment. But there are
strategies here. a lot of people are
doing that you can use what's called a
bonded warehouse and move cargo into
this warehouse uh and then you only owe
the duties when the cargo leaves that's
what I was asking like is there a hack
here to it's not that that lets you
defer things and it's very very common
right now people are searching
everywhere for bonded warehouse capacity
because in a bonded warehouse not only
you defer payment to when the cargo
leaves the warehouse but you only owe
the duty amount based on at that date so
if the duties come back down which a lot
of people are betting they will on the
China specific speific duties, you'll
actually lower your tariff burden. And
then there's another hack for this,
which is effect use a Mexican or
Canadian bonded warehouse. So you move
the goods into Mexico and then you
actually only technically import them
into the US at a future date when
tariffs are lower. So I understand a lot
of a lot of companies are doing that
right now, too. Um we're helping some
people with that type of strategy,
but yeah. Is that Sorry, Ryan. Do you
think that the government will they view
that okay that kind of hack and or like
you know like if you look at the GDP
numbers one of the craziest things was
the inventory pull forward that people
did to your point like trying to get as
much stuff into the United States before
April 9th as an example. Yeah. I mean
it's not a hack. It's a bonded
warehouses are been around for decades
and they're they're very commonly used.
I don't know that it'll be that material
in the scheme of things that it would,
you know, cause a change in the law
around bonded warehouse. So, you don't
think, for example, the Department of
Commerce will have an issue with the
strategy of sending inventory into
Mexico that essentially you're
essentially like, isn't it, it's a work?
Like, instead of paying the China
tariff, now you pay a Mexico tariff,
which should be less. Is that the idea?
Well, you can move it into a bonded
warehouse in Mexico even and not pay
Mexican tariffs either. and you just
wait until it imports. But I mean,
what's the Department of Commerce or the
customs to do? It's sort of you just
delayed importing the goods. You've
imported them in the future and you
know, it doesn't I I wouldn't even call
it a hack. It's just sort of like people
people are going to get creative here.
You know what I mean? Like that's the
job. Actually, the government should set
the rules and the rest of us got to
figure out, all right, how are we going
to compete and make money in this
environment that they've created? Ryan,
in that tweet you redid, which was a
pretty dramatic tweet painting a very
like I don't know, you know, like a
pretty dire situation. Where are we at
in terms of how uh dire this will get or
resolvable? paint us the the the best
case scenario and what you expect could
happen in that case or if this gets
extended are we going to see as you know
people are hand ringing empty store
shelves Christmas gets ruined and all
these layoffs start happening in the
supply chain take us through the two
scenarios that people are debating yeah
I mean the the the bleak scenario which
is I don't really think it's going to
happen I think that the administration
doesn't want this to be their legacy
that they like created a policy that
just like kind of tanked small business
and supply chain. So, I don't I don't
actually think this is going to happen,
but the bleak scenario is tariffs stay
at this level for 145% on China. The 10%
goes way back up to what it was
originally announced in reciprocal
tariffs. So, there's no like safe haven
for tariffs and trade just falls off a
cliff and a lot of companies go bankrupt
in our in our especially small companies
are the ones that are importing from
China. Reality is like tariffs have been
high on China for a long time. Labor
costs in China are not are not there for
cheap labor. You're there for quality
manufacturing at this point. like
there's much cheaper labor in Southeast
Asia, other parts of the world than
there is in China. So you're in China
because of the manufacturing
capabilities, the ecosystem, not just
for cheap labor. Uh and if you could
have moved, you would have already with
the 25% tariffs from the Trump's first
terms were pretty were high enough
incentive. And so that's the bleak
scenario is that small business starts
getting wiped out. The ones that are
buying from China and it's a lot of
brands like it's not just Amazon seller
selling stuff that you don't need. It's
like all the brands that you know are
like you know fashion brands, apparel
brands. I had cuts clothing on this
weekend startups last week and he said
there's going to be like if this doesn't
get revol resolved in like let's say two
to four weeks in his group chats people
are going to start layoffs and they they
can't
physically restart the supply chain in
Vietnam or wherever to make t-shirts. So
Aaron what's your thought on this as
well just bringing you in. Sure. Well,
well, first of all, I mean, Ryan has
supplied me with a high degree of doom
scrolling and uh it's just like a horror
show reading his tweets. First of all, I
I like I would feel better if the
messages out of the administration were
either more kind of consistent or that
there was a logical connection between
do we either want to raise the kind of
you know tariff revenue stream or do we
want free trade like like those things
are are working against each other
because like depending on who you talk
to they they say this is a a mechanism
to bring down income tax which obviously
then by definition means that they
expect the tariffs to sort of persist.
um which is totally different from let's
go negotiate deals that just allow for
the you know free trade to actually
increase and so are we worried about the
reciprocity or we worried about kind of
revenue stream so that's a whole whole
issue you also have this issue which is
the messaging from the government and
this is the meta point I'll make in a
second is about is about how we could
have actually accelerated into the
transformation of the economy but you
know you have folks like Lutnik etc you
know going on on TV talking about the
the end state of our economy which are
are actually probably you fine messages,
but but we haven't seen what that vision
looks like, you know? So, everybody is
kind of confused like does this mean
that we literally go into manufacturing
plants and we're like the ones literally
doing the screws on an iPhone or is it a
bunch of jobs which are next generation,
you know, jobs which is like we're
managing robots and and like shipping
and logistics grows as a result of this
and all of the surrounding kind of
supply chains, you know, start to grow.
So like like you know to like there's a
there's an underlying I mean you know mo
most people on this call have managed
teams like you do change management you
lead people to the end state that that
you want them to sort of see the
potential in and I think some something
that kind of gets missed is and the part
that kind of confuses me is like I don't
know if if to you know exactly to Ryan's
point like people are in China because
of the ecosystem of manufacturing yet
the messages you get out of the
administration are like oh you know
we're going to have fewer toys at
Christmas time. It's like, no, that's
not the big picture. Like, the big
picture is is like, like, you know, this
is supplying the parts that go into
building a manufacturing plant and
building a car that that allows us to
actually, you know, be even remotely
competitive in car manufacturing. So,
where should in your mind this all lead?
Because you have some thoughts on
American exceptionalism and maybe
skating to where the puck is going. So
for if you were to become an adviser
Yeah. on this as a technology expert and
and somebody who spent their whole
career in it, what would you advise them
to do? I'd get rid of Navaro immediately
and and you would basically say, you
know, Mia Kulpa, like oops. And like
obviously you need to like land that
with some really cool trade deals that
make everybody kind of feel happy. And
you basically say, you know what, like
let's go back to the first two days of
Trump, which is let's announce massive
deals. We're bringing manufacturing here
with Stargate. We're doing TSMC. We're
building Nvidia chips. We're going to do
a deal which is you get like 5% tax uh
rate if you build in America. And so you
just stimulate a a manufacturing boom in
in the country. You know, we
incentivize, you know, automation across
the manufacturing. We use that as a
competitive weapon to go and compete
with with the the sort of lowerc cost
labor that that that happens
internationally. You know, we we find
every incentive and tool we can. we
deregulate, you allow people to build
these plants and so you don't have to go
through the, you know, three-year EPA
process like like you you just
accelerate from from this position and
you see you see it all as upside and so
then business leaders, you know, if you
go talk to the Fortune 500 company that
actually has to build, you know,
anything right now, you give them a path
to say, listen, we're going to help you
transition away from your current supply
chain and we're going to make it even
more competitive and more compelling in
America to do that. You know, there's a
reason that Elon builds in America like
like he has he's actually made it be
more effective to to be able to to, you
know, bring automation to manufacturing,
to be able to to build locally, but he
wasn't forced to do that. And so so I
would just I would argue like you you
use as many carrots as possible in some
surgical areas. And Chimath, I've heard
your points about the like, you know,
chips, pharma, you know, AI, like in
those surgical areas, we get tough where
where necessary. Um, and and if we have
to do, you know, a couple sort of very
surgical tariffs, you know, to kind of
make make people move the the direction
that we want, that's totally fine. But I
I mean like like it's like the even
arguing the premise is hard because
because we act like we're like like it's
like countries that are screwing us, but
actually businesses are are
independently making decisions about
where they want their supply chain to
exist. They they have in a free market
they've made that decision. They don't
need the government to tell them where
where are they supposed to or where are
they allowed to to have their supply
chain operate. that that ends up with
just lots of economic distortions that
everybody on the the right would have
called, you know, the left socialists
for trying to kind of implement central
planning around supply chains. So that's
my piece. Well, no. What do you think,
Chimath, here of this sort of
reframing/offramp and sort of maybe the
positive spin on it, hey, if you want to
make t-shirts, you know, you want to
make commodity items, have at it. Free
trade, you know, reciprocal tariffs,
great checkbox there. But here is a
series of incentives and a path forward
to do the advanced stuff to do robotics
etc. Let me answer this in a different
way. Okay, a lot of those things he's
actually doing. I think this is where we
are is we're beyond
TDS. There's something that comes after
it. And I think that the mainstream
media has just lost their mind to a
degree that they hadn't even lost their
mind in Trump one. I'll give you a
couple of examples. Um well, one
example, by the way, just a shout out to
our friend, completely brazen,
ridiculous, shitty reporting by the Wall
Street Journal last night. When they
were told that this, you know, this
whole Tesla thing was a total farce,
they continued to publish it. Okay,
fine. They're they were referring to
Elon. The board Yeah. starting a search
to replace Elon and then the board said,
"Well, wait. We told you we weren't
doing that." And they didn't even
mention they communicated that directly
to the Wall Street Journal. The Wall
Street Journal said, "I don't care. I
have an axe to grind." Correct. Yeah. I
think that Trump has a strength, which
is he shapes these potholes for the
mainstream media to fall into. The
downside of that though is that that the
mainstream media then doesn't do the
other part of the job which is to tell
the things that are important. So for
example, we spent a lot of time
breathlessly talking about the MS-13
knuckles of the guy, right? Or then we
spent a bunch of time talking about how
MSNBC blurred out the names of the
placards on the lawn. Okay, but here's
the other part where then they get so
tilted. Here's what they don't report.
They didn't report that, for example,
when Trump took a shot at Harvard, he
also reinforced and strengthened
historically black colleges and
universities. Totally did not get
written. I'll give you another
example. This past
week, Bessant said that the tax bill
will allow you to fully deduct all the
PPE and all of the incidental costs of
building a factory. I heard that, I
immediately went to my wife. She runs a
pharma business. This is exactly what
she's trying to figure out. And we now
are like, how do you build a business
case if this actually gets effectuated?
The point is that
thing would create an absolute economic
bonanza if it were to get
passed. Other than people hearing it on
this pod or randomly maybe finding it on
a direct clip that Bessant puts out on
X, there has been zero coverage by the
mainstream media. Yeah. But but like
like the the uh first of all that Yeah.
Okay. MSM and whatever we want to call
it aside like the that is that is still
on the administration for driving a a
change management process that that
causes people to build on momentum and
not causes boards to basically say oh
are we going to pivot our entire supply
chain this week because because Trump
you know didn't get a call back from
from sheet like like that that is like
this is really not a a a TDS MSM issue
this if you talk to Fortune 500 CEOs did
you know about the PPE thing No, but
that's not but like I'm I don't need to
like the thing that I know but there are
many other CEOs that do they they're
controlling trillions of dollars of
capital allocation. It's an important
thing. If we had if we had Mary Bar on
this call and and we said Mary has has
you know Trump increased your ability to
execute and operate and accelerate the
the transition to the US or has he had
headwinds that make it tougher to
navigate right now? Which which way do
you think she'd go?
I think that she would give you a
calculated answer that neither is pro or
con. I think I think that answer changes
by the day. I think that if you talked
to her last week, she would say this has
been a major headwinds and then
yesterday to Chimal's point, they did
this thing where you can depreciate or
fully expense in year one capital
improvements or building out factories.
But also earlier this week, they made it
so that auto auto parts are not subject
to the tariffs. They created a huge
exemption that wasn't there everything
like they should have. By the way, This
all speaks if this was a bit planned, it
should have been there in the beginning
because these auto auto companies were
saying, "Hey, this is going to bankrupt
us if we have to pay taxes on where I
would take circling back to
communication and making a crisper and
clear, Erin, where you are right
expectation is it's my job to stay
informed." Okay. As a CEO of my company,
I try to stay informed and you're right.
It is hard because sometimes I find
myself hunting and pecking to find the
things that matter. But I do put a bunch
of that responsibility into the lap of
the people that are supposed to actually
report the facts. They can choose. They
didn't have to run that article about
Elon, which turned out to be total
and horseshit on the front page
of the Wall Street Journal. They could
have talked about what Ryan just
mentioned as the first article and said,
"Here completely changes your ro and roe
calculations for 90% of the S&P 500."
That was not the article they chose to
write and to publish. I but I also think
it comes back to my original point
around the UDOT loops that they're the
Trump is the administration is running
these very tight hey let's take an
action let's see what happens let's see
the reaction and then take another
action and Washington's used to doing
all these committees that plan
everything for 5 years or something or
whatever 18 months and then roll it out
slowly and they're going hey let's roll
it out oh crap we're about to cause this
huge problem in the auto manufacturers
and they're all telling us they're going
to go bankrupt okay 3 days later they
push an update and it's kind of it feels
chaotic But yeah, to summarize, Ryan and
Aaron, your position so we can keep
going through the docket. Hey, a little
less shock and awe, maybe a little more
predictability, a little crisper
communication, and Chimath, I think your
position is, hey, maybe the mainstream
media can play a better role here in
focusing us on what matters. That
wouldn't be my takeaway. So, yeah. Okay.
Um, my my What's your takeaway? I mean,
like like zero shaken like like not a
little less like like I like my strategy
would be 100% different. Actually, uh,
Scott Besson has an incredible podcast
from like September of last year, and he
basically said, you know, Bid Biden got
it all wrong. And I was like listening
to it. I was like, oh, okay, actually,
this is kind of cool. Like, he basically
says, deregulate the US, make it easier
to build manufacturing in the US,
increase the GDP, and then you'll be
able to take in less tax revenue, spend
less in the government. And it was like,
oh, this is actually like a glide path.
We could take we could take the fact
that we did a soft landing relative to
the rest of the globe. We're winning in
AI. We're winning in it in in you know,
you know, number of categories. We
obviously need more energy. We need we
need to bring in manufacturing into the
US. And and so you you have this great
momentum which is where we are the tech
leader, you know, in the world. Let's
like just pour fuel on that. And so to
pour fuel on that, you you do you just
do a series of carrots and and the and
the winds that build a flywheel of
positive energy. Like the reason why I
take I take a little bit of exception to
to Chimas's MSN point is that I think to
some extent Fortune 500 CEOs are not the
ones like oh my gosh like like Rachel
Matto said this like I'm going to go and
and you know worry about this topic now
like like the information coming at them
is is I'm not talking about the
information that's presented. I'm
talking about the information that's
excluded. How do you get the information
that's not published and shared broadly?
No, no, but but come on. Like like
Goldman Sachs and JP Morgan are not
writing reports on the fact that we
might enter a recession because of of
MSNB's MSNBC's reporting on this topic.
Like like again, but again, that's not
what I'm talking about. I'm saying like
gladhanding some highlevel
prognostication which nobody ever gets
right is in my opinion worthless. What
I'm talking about is the details. So
when you talk about something as narrow
and specific as excluding PPE or
allowing you to double or triple
depreciate something in a given calendar
year, fantastic. That is narrow. It's
precise. It's specific. It's actionable.
And what I'm saying is if I surveyed the
500 CEO of the S&P 500, dollars to
donuts, the overwhelming majority would
not have known. And had they brushed up
against that somehow in their normal
media consumption to then ask their
teams, the odds of that would have been
zero as well. So I guess then who do we
who do we blame for this chim? Is it the
administration's job or mainstream
media? But I bet you everybody knows
about the blurring out of the stupid,
you know, pictures on the lawn and the
MS-13 knuckle tattoos. Yeah. Okay. So
let's uh wrap up on this just really
lightning round here. Amazon
flip-flopped on a new tariff
notification on their websites. Trump
said he had a great discussion with
Bezos. He solved the problem very
quickly. He did the right thing, good
guy, etc. If you haven't seen this, it's
something that Teimu is doing. Here's
what Timu does uh currently today. Nick,
you have that image. If you could pull
it up of just when there is a tariff,
they explain the tariff coming into the
country. They put it as like a line
item. I thought this was actually kind
of cool. I don't know why people take
offense, Brian. This is pretty standard
stuff. So Amazon's competitor Tim Teimu
is putting in the import charges. They
don't say tariffs. They don't say taxes.
Import charges. This is like a standard
thing. This happens in other countries
too. What is this? What is Teeu? This is
like a dollar store. It's basically like
a dollar. Is it this the last place you
would ever
buy jeans? Yeah, you can buy $12 jeans.
Basically, your left sock from Laura
Piana costs less than Timu's entire
inventory of jeans. The point being, um,
I thought this was actually a plus for I
think they totally misplayed this. They
they they did it, they rolled it out,
then they got criticized. I think they
were called a treasonous company from
the White House press uh, you know, by
the press secretary. Uh, they totally
misplayed this because they should have
gone and leaned into it and said, "Yeah,
we're showing you all these tariffs when
you buy from China. If you buy from
America, you don't have to pay any
tariff and look at all these other
products." Come on. Come on. That would
have lasted three and a half seconds.
This is exactly consistent with the
other issue which is they're playing
whack-a-ole. Okay, we're going to do
something with the automakers. We're
going to we're going to try and solve
some problem with Amazon. Like like this
is a sign that that it like it's not a
good strategy if you have to do this
much whack-a-ole. Like like they they're
not like they can't cover up what Amazon
is going to end up dealing with because
there's going to be 500 other retailers
that that don't get the call with Trump.
So, so this is like that that like to me
that's evidence of of clearly this they
didn't think through the entire
downstream set of of of conditions that
are going to change as a result of this.
Sure. Yeah. I I thought this was a big
win uh Chimoth because they could then
have Amazon Here's um a mockup somebody
made. I'll pull it up here. It was
interesting. They could to Aaron's point
just show hey here's a bunch of American
companies by American when you do a
search. Ryan's point. I'm sorry, Ryan's
point. Hey, here's what it might look
like. Pull pull that um the OralB
toothbrush one up, Nick, if you got it
right there. So, somebody mocked this
up. I think this could be the hugest
win. You could have the retailers do buy
American, buy it once, buy a high
quality product from America. If you
look here, we don't have the products.
It wouldn't work. We don't have the
products.
Well, I mean, we do have for some
products, you know, Americanmade
products. Uh, you know, I buy my boots
from Danner and those are all American.
Yeah. So, we should just go back to
communism and we're all going to make
our our shoes. Like, it's like that's
like we we're in a global market. Like,
we buy from everywhere. Chamop, any
thoughts on this? I mean, obviously
there's the whack-a-ole angle. There's
buy American and be proud of it. There's
communication. Here's the narrow
question. I I got a bunch of emails from
people and a bunch of them were Amazon
sellers and I don't know Nick if you can
find it but I posted their comments and
I reshared them just to kind of
highlight the issues that they were
going through and at the core of it was
a feeling by them that Amazon had
abandoned them as American purveyors and
sellers of goods and that Amazon on the
margins had attended
to
help competitors from abroad come stand
themselves up and compete and
essentially cannibalize on price and
margin. This is my view completely and
that this is the biggest opportunity
that I think the Trump administr
administration's flying at 40,000 ft
doing macrolevel negotiations and look
and failing to see some of these micro
optimizations that are really really
real. So you in the United States you
can import goods as a foreign company.
You don't not you do not have to create
an LLC or any sort of registered entity
in the United States to import goods.
Sometimes they say, "Oh, Americans pay
the tariff." Like that is not true. In
many many cases, the foreign company
just imports this stuff and they sell on
Amazon. And when they get caught
cheating, they can they can lie about
the valuation and pay a lower tariff.
They can change the classification and
pay a lower tariff. They can import
stuff that, you know, is harmful to
children, has lead, paint, whatever
else. There's no enforcement at all. You
can't. So you're saying Amazon third
party is like a bit of a backdoor to
abuse the system, right? I mean, Amazon
is sort of just playing the game that's
on the field, but they're this is legal
in the United States is these companies
import stuff and I think it's 60% of all
of all the sellers on Amazon are these
Chinese registered. They're not
registered in the United States at all.
Just Chinese companies. Which sounds
profoundly unfair in terms playing
field. Can we just take a step back and
also acknowledge that we are talking
about a level of detailed issues that we
would never have talked about 6 months
ago. That there was
no interest in even bringing this up.
Like if if Ryan wanted to bring up the
sort of hollowing out of
American salesmanship, let's say, if you
will, because of like this arbitrage
that Amazon does for GMV. That would
have been a snoozefest. except today it
can actually get a lot of awareness and
Erin mentioned this and I've mentioned
this before but like I think that there
are four things that really matter
batteries AI pharma APIs and rare earths
that now is on the agenda I think the
the positive way to look at this is the
American economy is too complicated if
you had waited Aaron for a study for all
of the implications we would have been
waiting forever and nothing would have
happened and I think that we've made
macrolevel moves you're right and now we
are finding what the implications are in
course correcting in real time. And I
hope what happens though is when we find
these big thorny issues, I think the
Amazon thing is a is a pretty
interesting issue actually about like
American competitiveness. Now the
question is do we follow through and get
to the root cause of it and and fix it.
And those feedback loops are there. I
mean the Trump administration is going
to act on this and if then there's an
act that's coming out of Congress as
well to shut down the foreign import of
records. So those feedback loops are
there in ways that I don't I don't know
if they were there in the past. Go
ahead, Erin. We can totally chaos monkey
the the economy and just see what
breaks. I think that the you know you
you you sort of phrase the we could, you
know, do the research paper and we could
do, you know, Aspen Institute as a bad
thing, but also it can be a bad thing if
you're the small business owner right
now who has 30 employees and you just
literally don't know what you're going
to do next month. And so, so that that's
that's sort of then the argument to not
counterbalance. That's like why you do
have some bureaucracy and and you don't
chaos monkey the economy and why Rand
Paul is literally saying we shouldn't
actually let you know have unilateral
you know control over tariffs. So you
know interesting that that like dynamic
there. All right, you want to uh wrap us
up here or you want to pass? Oh, am I
still on the pod? Yeah. Well, you turned
your camera off. So, look, I spent 80
minutes debating this topic with Larry
Summers three weeks ago.
The point I made then is that we had in
this city at for 25 years a globalist
consensus on trade that distorted a lot
of outcomes. And I don't need to rehash
that debate, but I'll just recall that
Larry Summer's main argument for why
this would not work out is that the
market was down. Do you remember that?
That was his evidence. Yeah. That this
wasn't going to work. Okay? And it was
all about the market not pricing in
lower expectations. Well, guess what?
The market is actually up since
Liberation Day on April 2nd. So, what
happened 3 weeks ago was basically a
panic in the market over this policy and
the media has been trying to fuel that
panic. Now, what I said as well is we do
have to stick the landing on this. I
mean, President Trump shifted the
conversation away from this globalist
consensus and he's now redefined the
debate, but it is now up to Scott
Bessant, the Treasury Secretary, Howard
Lutnik, the commerce secretary, Jameson
Greer, the US trade rep, and so on, the
Trump trade team, to now negotiate these
deals, stick the landing. And I agree
with you to the extent that the sooner
that is done, the better because it is
good to provide business certainty. But
the idea that so far this hasn't worked.
I think again the main argument against
that was the market reaction that now
the market's not positive. So I think my
point is just we need to give this time
to work. I think it's too soon to be
judging this policy as if it hasn't
worked yet. It needs to be executed
properly. And quite frankly, Ryan, I
mean, I remember the last time you were
on this pod, you were coming on about,
wasn't there like some union deal that
was supposed to shut down all the ports
and all the shelves would be empty? That
never happened either. It did happen. It
did. They shut down for 3 days. I don't
Okay. I don't remember the the shelves
being empty, which is now the new panic
the media is trying to create. So, look,
there's a lot of pants wedding that's
occurring here that's being fueled by
the media. Well, well, I I do want I
want I do want to I just want to
bookmark one one thing. The only thing I
actually um I was more frustrated
listening to the Larry Summers and and
you conversation because I was like, why
Larry make this point like come on.
Like, what? Don't go down the WTO rat
hole. Like, that's that's not relevant.
So, here here's the other thing. Of
course, it's relevant. It's how we got
here. No, no. Like like as in like
that's 25 years ago. Like let's worry
about literally today and like what what
do we do going forward today? And the
only thing I just want to say because I
because I I do think that that you know
I appreciate your point about hey
there's like you know everybody's
freaking out whatever but to be totally
fair that some of that freak out whether
we can decide how emotional it needs to
be is the reason that then Trump walks
back the things that then cause the
market to correct. So, so we can't just
say the market's back and and like see
we didn't need to freak out cuz it was
literally I said we have to make the
deals. We have to stick to the landing.
But look, China over the last 25 years
has been able to strategically
annihilate our rare earth processing
capability and our ability to cast rare
earth magnets. We just sat back and
watched as the market basically went to
the lowest bidder which was being
subsidized by the Chinese government
which the WTO allowed them to do. And
now we have a critical dependency. Yep.
In our supply chain on China for
basically every electric motor in every
product, including cars. That was crazy.
We should not have allowed that to
happen. How are you going to change
that? So, we needed to shift the
political conversation to recognize the
ways in which free trade led to unfair
trade and created unacceptable
dependencies on the for the American
economy. Wait, wait, just I just want to
make one one point. It's more than that.
point and then I'll but this is the
national security of the United States
that that's at stake. Let's go take your
favorite pet issue. China invades
Taiwan. Okay. And we have to take a
side. Jason, my pet is hold on. Let me
just finish. And the and the and the
Chinese say here are the implications of
supporting Taiwan on this A, B, C, and
D. You don't get any pharma APIs. You
don't get any rare earths. You don't get
any batteries.
Okay, it'll it'll send life back 50
years. Or let's say China and India get
into a fight and we're forced to pick a
side. Same situation. The point is
there's all these scenarios that we
never even
considered us being able to have
strategic optionality to make the
decision that's morally and ethically
right for the United States. And I think
that we have learned through this lens
that these are huge issues. The thing
that the Chinese did that was so
brilliant, which we still don't have an
answer for is they have these national
champions. And being a national champion
allows you, and we'll talk about this in
AI, it allows you to blur the lines
between the public and private
partnership. It allows you to blur the
law. It allows you to blur capital. And
I'm not saying we have to do that, but
what I am saying is we need to have our
own answer to it. And that was never on
the table until April 9th.
All right. So yeah, but but like 100%
like do that strategy and then and then
and then don't have a mad rush. What is
the strategy? No, no, no. Because
because that's a you if you have a, you
know, Ryan, what what is the number? I
don't know, trillion of imports or
whatever, like you don't need everybody
then than then jamming the system to
build their supply chain, you know, in
the US to solve that problem
immediately. If we're sitting here in 9
months and you're saying this and there
are no deals, I would say that you're
right. what Howard Lutnik said last week
and again we may have all gotten caught
up in the knuckle tattoos and we missed
this but he was very clear we have a
country a deal is already done we're
convening parliament it's going to be
the first of many so for all we know
there's like 30 deals that are waiting
in the wings and the first one will set
the tone and and I think that Sax is
right here which is it's way too early
to declare defeat and that it was quote
unquote chaos I think if we're sitting
here in 9 months and foreign direct
investment has shriveled up and domestic
investment has shriveled up because
there is just no continuity. You have a
claim. But that's No, no, because I I I
don't I don't think that'll happen. I
don't I don't think that'll happen. I
think we will end up in like I'm I'm
with Ryan like we will end up in a good
spot because we'll iterate through this.
My my only point is there's an
alternative path that that could have
occurred. It could have been done in a
more thoughtful well-communicated
pattern instead of hey let's do barrel
rolls with the airplane. I don't
disagree with you, Aaron, and I can tell
you we've already started to see layoffs
and nobody wanted to even initiate the
barrel roll, guys. Yeah, listen, we get
it. It's like, hey, I don't want
anything to change. I think we agree to
disagree on this. We got to move on to
the next one. Hold on. This one last
point. Excuse me. Excuse me. You didn't
call me for 40 minutes. I just want to
make one final point. Eron, here he
goes. Erin, where were you with this
perfect plan? Yeah. Where were you with
this perfect plan before Liberation Day?
I was telling Kla about it. You were
telling Kamla. Okay, great. They were
having nobody nobody ties and they were
talking about this specific issue. All
the people who suddenly know what the
perfect plan is and how to perfectly
execute it. No barrel rolls had nothing
to say about this topic for 25 years.
Now all of a sudden they've come forward
with their perfect plans. I would say
that's victory for Trump. Finish. It's
like look at this. The best thing of all
of this is you've got the Liberals
embracing Milton Friedman and their
backgrounds on there. I love it. Yes. Uh
All right. Listen, we're going to agree
to disagree. We're going to agree to
disagree on this one. You know, the
Liberals love the stock market. Listen,
Sachs Kla is coming on next week. We're
going to make some cocktails. It's going
to be wonderful. You we'll ask her some
direct questions about it. But I want to
talk about AI agents. 2025 shaping up to
be the year of AI agents. Tons to talk
about here. Open AI is planning to
charge between two and 20K a month for
different levels of AI agencies would be
basically cron jobs they would run in
the background and do things for your
company that uh humans are doing right
now. You may have heard of this uh
agentic tool. Again agentic is just a
fancy word for agent which is a fancy ro
word for like a cron job that just runs
uh perpetually. Yep. And uh Manis is uh
the company in China that started this
weirdly benchmark invested in it that's
created a whole bluff on the side and
Manis' website has a really good
visualization of what these agents would
look like. So first of all I think
you're giving a little too much credit
to Manis. They didn't come up with the
agents but I do think that they have a
very good demo and it's hard to know
exactly how real it is because not
everyone's used it and it's from China.
It's from China. I'll get to that in a
second. If you go to their website, you
can see a bunch of their demos. And I do
think that what they deserve credit for
is advancing the ball on the UI
paradigm. And it's not that other people
weren't doing this. I mean, I think
notably Anthropic was doing this with
its operator product, but the basic idea
is that you've got this two-pane view
and in one window, you've got the
standard chatbot interface and then in
the other view, you can see what the
agent is doing. And that agent has the
ability to toggle between it currently
four apps. There's search, browser,
code, terminal, and document editor. And
so when you give Manis a task, the first
thing it does is create a to-do list in
the document editor. You can kind of see
it there. And then it works sequentially
to achieve each of those tasks and then
puts an X on them there. And you can
kind of see it working. And I think
what's cool about the demo is just the
way that it seamlessly toggles between
those four apps. and you can see what
the AI agent is doing, you know, and
it's browsing the internet, it's
searching for things, it's writing
documents, it's crossing things off its
to-do list. Now, I think it's pretty
easy to imagine where this goes, which
is you'll be able to connect an agent to
all of your SAS apps. So, it won't just
be four applications. It'll now be
connected to dozens of applications,
including ones that already have your
data. And it's going to know what
actions it's possible to take in those
apps. So when it creates its to-do list,
there's a much wider range of things
that it can accomplish. And in fact,
there's a new standard called MCP which
is taking off like wildfire which is
built specifically to enable agents to
connect with applications and understand
the data and understand the actions that
are possible in those SAS applications.
So look, Manis is just at the tip of the
iceberg here. I think this will become a
very standard UI paradigm. That's the
reason why I mention it. Not because I
am predeclaring them to be the winner in
the space, but just because I think
there's a lot of talk about agents and I
think it's hard to conceptualize what
that means without just seeing it
visually. A great great summary there,
Saxs. And Aaron, I want to get your
thoughts on it because obviously you're
running Box and and you have your your
finger on the pulse of this. We actually
started building one of these in our
venture firm. We have 20,000
applications a year and we have updates
coming in from investments. We are now
taking those sacks Aaron and we are
having an agent sort them and then look
for competitors and compare them to the
last update and we're looking into our
notion our kod and saying what else have
what other communications have we had
what questions should we ask about the
startup and about their strategy and
then we're presenting that in Slack to
our team. So this is coming fast and
furious and we spend I don't know
probably 15 minutes on each of those
incoming applications. You start doing
the math on that. Talk about 5,000 hours
of work. Aaron, what are you seeing on
the street? What are you doing at Box in
terms of agents landing right now in Q2
of 2025? Uh, yeah. I mean, I think I
think Sax represented it well, which is
which is, you know, you have to now
think about AI as as effectively being
able to do anything on a on a computer
or another piece of software as as a
human can do. And the little distraction
that that I think happened two years ago
after the chatbt moment was we sort of
thought about that as oh we're just
going to now you know do like typing
information retrieval and that's a new
paradigm for user interfaces let's say
so you just like talk to your software
and you like search Zillow via chat that
was sort of a little bit of a
distraction that that's super helpful
like when you want basic information
lookup or whatnot the big breakthrough
was starting to think through these
things as as full you know effectively
uh uh you know agentic systems that that
operate on any amount of data, any
amount of tools for as long as you want
to complete any task that you want. And
this is sort of the big year where
agents are starting to, you know, enter
the vocabulary of enterprises, of IT
people, of, you know, larger and and
certainly small organizations. Um, and
and it kind of requires you to have a
little bit of a of a reset moment on how
you think about AI, which is which is
it's not just now a kind of a co-pilot
that you talk back and forth with. it's
actually something running behind the
scenes that's now actually starting to
deliver, you know, real automated, you
know, kind of work for you. And so lot
lots of implications like, you know,
massive implications to what the
software business model is in the
future. You know, I I I would argue, you
know, strongly that's a massive TAM
increase um because now software starts
to go after labor spend. It completely
changes the dynamics of then, you know,
how do you build a moat in a world of AI
agents? Um uh but but I think unpack
that piece there Erin. You said
something very interesting how you how
software then is going to go over human
spend. Yes. Explain that concept. Unpack
it for a second. David and I, you know,
we we we go back way back in SAS land,
but like you used to basically just, you
know, you built you built a piece of of
software and you sell it for the number
of of people in the organization. And
so, you know, company has 500 employees
and uh and you sell that thing for,
let's say, $10, you know, a user a
month, you know, 120 bucks a year and
you make 60,000 bucks. Um, and so so
that that's kind of the business model.
Uh, now when your software actually
brings the underlying workflow to the
customer or the underlying outcome to
the customer, so you know that that
company might have 10 lawyers and so
previously if you were selling software
for lawyers, you had a maximum amount of
10 seats that you could sell. Now all of
a sudden if your AI agents are doing the
equivalent of let's say parallegal work
or some form of professional services
all of a sudden you might be able to
sell a multiple of the initial kind of
10 seats that you would have sold
previously. So you see it as a huge
opportunity because now you're not
enabling a human to be 5% more
productive. You're replacing a human or
you're replacing one out of 10. Yeah.
And and actually I'm going to take a
massive I'm going to do an underscore on
this point though. I I don't I don't
like the word replace because I I think
actually most of the upside is actually
going to be for companies that now
deploy labor at things that they
wouldn't have deployed labor at before.
And and you know, maybe I'm biased from
the view we have, but most of our
conversations with customers are when
they have AI agents, it they can
actually now go and actually deliver
work in areas that would have been
unaffordable previously. So they
actually they weren't doing the work.
True in logistics. So, like we we're
making thousands of phone calls a day
using AI, calling truck drivers, and we
if we have a load, we've got 400,000
truck drivers using the mobile app, the
Flexport mobile app. I don't have enough
loads to keep them all checking it every
day to see if there's a load that
matches them. And if they don't check
it, I they're they're useless to me now.
And it was too expensive to call the
truck driver and have a human call and
talk to them, even if it's a human in a
call center in the Philippines. Whereas
with AI, it's almost free. I'm calling
thousands of them a day going, "Hey,
this load looks like it's a good match
for you. Are you interested?" And and
then we activate them on the platform.
Um, that's new work that wasn't going to
happen before, not just a replacement.
Yeah, I I think that I think probably I
think like we we have, you know, in the
valley, unfortunately, we've been
co-opted a little bit somewhat with with
a little bit of a doomer, you know,
mindset in some areas and and we think
of then AI is, okay, like like it's all
fixed pie, it's going to replace things.
And on the ground with large
enterprises, the vast majority of the
use cases are are it's it's the you
know, it's the ability to finally review
the contracts that we never got around
to reviewing. It's the ability to
finally automate an invoice process that
we never did. It's the ability to go in
and just create marketing campaigns in
every language that we never got around
to. And so so I think that'll probably
be actually like 90% of the usage of AI
in the future will be things that if we
look back and we snap the line right now
and we said this is what knowledge work
is today. 90% of AI usage will be things
that we don't do today. 10% will will
replace you know what we're what we're
doing in some areas. I think that's the
right take cuz Chimath I can tell you in
our firm we would never have associates
or researchers or analysts sax you also
were in this line of work as well
venture capital you would never have
them review legal documents. That's
something lawyers would do in the legal
department. But now because of AI, we
have them say, "Here's the safe. Here's
the term sheet. Here's the edited
version, dump it all in, find out what
the changes are, what are the deltas
here, and and then let's have a
discussion about what the founder
changed in a Sander document, and we
don't have to bother with an attorney,
and maybe you wouldn't have even checked
those documents if you were, you know, a
seed fund or an angel fund. You would
just go along for the ride because
you're the 10th person signing the
documents." So what what do you think
Chimoth here in terms of the premise
that maybe it's 10% replacing work
that's happening but this is blue ocean
and we're going to do 90% of like new
stuff that we just never got to. Yeah, I
tend to I tend to believe that's true. I
think the customers that we sell into at
8090 are largely large enterprises as
well. So not dissimilar to Aeron's
customer base. What I would say is that
what they are encountering is the trough
of disillusionment.
And I don't know if Erin, you're seeing
this as well, but every single, you
know, CIO ran
around signing up some sort of AI
product in large part because their CEO
would say to them, hey, what's your AI
strategy? And the reason the CEO asked
them that is that at some point somebody
on the board said, what are we doing
about AI? So that's the the
cascade that that that we went through
in the last two years. And I think what
has happened now is people have spent
billions and billions of dollars. I
think you can see it in the revenue
traction of the AI
companies. But I think where we are
today is that there are some real
technical complexities that have not
been solved. I'll give you an example.
We have a lot of customers in regulated
industries which is to say that if you
make a
mistake you will get fined or you will
get shut down. Life sciences,
healthcare, financial services are three
examples. People still don't seem to
appreciate that when you replace
software that is deterministic with
software that is probabilistic, meaning
software that somebody wrote for
you, do A then do B, then do
C with an LLM that can
hallucinate, you'll have
errors. So what used to be a throwaway
thing, which is quality assurance and
QA, right? unit testing, integration
testing is now the only thing that
matters. Why? Because if you're a
financial services institution and
you're supposed to do KYC and hit BORS
and now all of a sudden you send a wire
somewhere in Syria, guess what? You're
in trouble. Bueno. Yeah. If you're a
healthcare company and you're supposed
to do some clinical diagnosis to send
out a drug on time and you don't do that
because the the model
hallucinates, that's a real problem. And
I am guaranteeing you, we have not seen
the class action lawsuits that will come
when those errors will eventually be
made. They're guaranteed to be made. We
just don't know the scope and the scale
of them. So that's why I'm sort of of
this posture where I think we've sold in
a ton of promise. I think the reality is
much more tactical. It's a little bit
more benal. I think we're sorting
through the exact use cases where you
can put guard rails around these error
rates where it's okay and tolerable.
Like Ryan will probably tell you there's
some number of phone calls that just
sound totally fcocked but he's okay with
that because the broader thing is okay
and Aaron will so I don't know. So I
don't want to talk to my customers
though. I have it calling truck drivers
to offer them you know offer them loads
but I'm not having to talk to my
customer. Sorry, I I meant your truck
drivers, but my my my point just is that
I think agents are
real, but I think that we are far away
from that because we're still at the
phase of how do you build reliable
software in production for an enterprise
versus the toy apps that you see on the
internet which is like let me vibe code
something. I think these things are
worlds apart still. Okay, so let me get
saxed in on here and just to inform the
audience you heard tri of
disillusionment. This comes from the
hype cycle. This is something Gartner
has been talked about for a long time.
So in case you're taking it for granted
if you're watching, you have some sort
of technology trigger like agents. You
have this like peak of inflated
expectations. Now we're in the trial of
disillusionment. Hey, this stuff doesn't
work. It's hallucinating. But we're kind
of going up that works. It just doesn't
say we're on the slope of I don't see
the disillusionment. I don't know where
this is coming from. I don't even think
we're at the peak yet. Oh, okay. So you
think we're still going up? cuz I I a
lot of people to Shimat's point were
buying stuff and saying, "Hey, it
doesn't work, you know, and now we're in
the mess." Let me say let me say it
differently, Sax. I think we have not
yet figured out how to move the budgets
from experimentation to mainline
production. Meaning where large chunks
of the US economy are comfortable enough
with the ways in which hallucinations
are managed such that they will replace
legacy deterministic code with this new
probabilistic model generated code
meaning model enabled code. Let's just
put it that way.
Where are we on the slope here? Yeah.
Look, I would I would separate change
management issues, which are always
going to be important and there's always
going to be big ones whenever there's a
big disruption, especially in enterprise
and especially around compliance and
legal and all that kind of stuff. I
would separate that from the impact of
the underlying technology trend. And I
don't think the impact has come anywhere
close to peaking yet. And in fact, I
would say the rate of progress is
exponential right now on at least three
key dimensions. So number one is the
algorithms themselves. The models are
improving at a rate of I don't know
three to four times a year. They're not
just getting faster and and better, but
qualitatively they're different.
Remember, we started with pure LLM chat
bots. Then we went to reasoning models.
And the difference there is with a
chatbot, I just it's like kind of a
smart PhD or college student giving you
an answer off the top of their heads.
The reasoning models, it's more like the
PhD saying, "Okay, let me go off and
think about that. Let me do a project on
that." And it could work for 30 seconds
or a couple of minutes. I mean, as much
compute as you want to throw at it and
it will break down your complicated
question into a bunch of sub questions
and then it'll try different approaches
and it can validate some of those
approaches and come back to you with a
much more impressive answer. And if
you've been using like the Gro 3 deep
research or the new Chad
GBT3 to do these types of new reasoning
models, it's pretty mind-blowing what
they're capable of. Have we even come
close to figuring out how to tap the
potential there, especially in an
enterprise context? No, but my point is
that the rate of progress on the
algorithms is again three or four
times
here. Okay, go finish about sex and then
I'll I'll take it and pass it. Go ahead.
Well, I was trying to lay out the
dimensions of which progress is
proceeding exponentially. Okay, so one
is the algorithms. Okay, which is not
just quantitative, it's also
qualitative. We didn't even get to the
agents part of it yet, but that's the
next big leap after reasoning models.
We're just starting to scratch the
surface there. Then you've got the
chips. I mean, the chips are getting
better at, I don't know, three to 4x a
year. We've gone from, you know, the
H100 to the H200. Now we're on the
GB200. We'll be a GB300 soon. We'll be
on to three times better per year or
they get better three times per year.
No, no, no. They're getting the chips
themselves, depending on how you measure
it. Each generation of chips is probably
three or four times better than the
last. Okay. and Nvidia is back to
rolling out new chip, new generation of
products roughly annually and I'm just
using them as one example. Obviously
there are other companies as well. So
basically the lead from Hopper to
Blackwell to got it Reuben I guess will
be in next year and and then I think
Fman's coming after that. I mean really
an astounding rate of progress. It's not
just the individual chips are getting
better. They're figuring out how to
network them together like with NVL72.
It's like a rack system to create much
better performance at the data center
level. And that would be like the the
third area where you're seeing basically
exponential progress. Just look at the
number of GPUs are being deployed in
data centers. So when Elon first started
training Grock, I think they had maybe
100,000 GPUs. Colossus was 100,000.
Correct. Right now they're up to
300,000. They're on the way to a
million. Same thing with OpenAI's data
center, Stargate. And within a couple
years they'll be at I don't know 5
million GPUs, 10 million GPUs. So and
you see that on the power side, right?
You're going from 100 megawatt data
centers to 300 megawatts to we're just
starting to now see the first gigawatt
power data centers. I don't even think
they're live yet, but this is where
they're trying to get to. And I don't
think it's beyond the real possibility
that we could be at 5 or 10 gawatt data
centers in the next I don't know several
years. So, so my point is just look, the
algorithms, the chips, and the data
centers are all improving or scaling at
a rate of, I don't know, 3 to 4x a year.
That's 10x every 2 years. Okay? Where
people don't understand exponential
progress is that if you're getting
better at 10x every 2 years, that
doesn't mean you'll be at 20x in four
years. It means you'll be at 100x. 100x.
So the models, the chips, and the data
centers will all be 100 times more
powerful in four years, let's say at the
end of of this presidential term. So you
multiply those things together, the
algorithms, the chips, and then the raw
compute that's available, you're talking
about a millionx increase, some of which
will be captured in price reductions,
some of it will be in the performance
ceiling, and then some of it will just
be in the overall amount of of AI
compute that's available to the economy.
But the impact of this thing is going to
be absolutely massive and I think people
still don't even appreciate that fact
because they don't understand
exponential progress. Yeah. And I think
maybe just to square the circle the the
because because everything is that that
you just said tax is what I think is
propelling the industry and then the
reality on Jama's side like like just
just to connect the dots. So uh we have
an eval test that we do uh where we run
enterprise data through every model to
to kind of figure out its accuracy rate
and and you know how much it's not even
hallucination but just literally how
much data does it miss when we ask for
facts. The best model in the world um
actually interestingly we was gro three
on on this particular test. We send it
500 documents and we ask for 40 data
fields back from the documents and so it
has to get every single data field
correct and we only do a single pass. So
we send the document to to the to the
model, we get a single pass back. Right
now the the best score is about 90%. Um
and so you can imagine a number of
industries where you can't have 90%
accuracy, you know, if you give
something, you know, a question on 40
data fields. Now there's ways to solve
it is you rerun it multiple times or you
chunk up the document into smaller parts
and so it doesn't get confused by the
large context window. But a lot of the
people that were deploying AI a year ago
or a year and a half ago weren't doing
that. And so they they you know they did
have a a kind of a a pilot run of
something and it it kind of worked okay.
And what they have to realize back to
your point sax is like this space is
literally exponentially you know
changing and so if you don't use the the
latest methods of okay you have to
actually like run the data through the
model multiple times um and you have to
chunk up the data into smaller parts and
you have to use a reasoning model and
you have to make sure that your your
prompt is like hyper tuned for the
particular use case. If you haven't done
those four things, then you probably
will actually end up with a project that
fails. And and even so, even when you do
all those things for even, you know,
harder problems, you know, you're still
going to run into issues. So, I think I
think the challenge is that everybody's
running a million miles an hour right
now and they're trying a lot of things.
Some work, some don't work at the same
time that the space is actually, you
know, you know, changing at a at a
pretty uh, you know, kind of crazy rate.
and let's take a look at our partner
Poly Market and uh which company they
think will have the best AI model by the
end of 2025 and get feedback from our
panel on if you think this is accurate
and who you would pick here. Looks like
Google is in the lead here. 41% of
people believe that they will have the
best AI model by the end of the
question. What is what is the dimension
like you know we use Gemini so for many
tasks at 8090 we use Gemini it's
incredible but for most of our codegen
we use anthropic and claude kicks ass
it's it's exceptional this is uh based
on the best scores in the chatbot arena
which just became a fourth company so
that is slightly different because
people have
gamed tests so that is a rub there
people are now building their a model
for the AVAL unit right all the models
are way overfitted for these eval so but
if you had to pick who's your I mean so
I guess Chimath you're saying you have
to take a task by task it's what depends
on task I agree what Zach said is right
so it's kind of like what what problem
are you trying to solve and then you
have to ride this technology wave that
is compounding very quickly all I was
just trying to get across is that the
error rates have been diminishing but
not nearly as fast as you need for some
sectors of the economy so you can use a
model to generate deterministic code
that's great and as long as you unit
test it and integration test it'll be
fine but I'm saying if you're going to
use a model in production
in an environment where if there are
consequences
we're not there
yet but you could use it for writing or
writing jokes or
maybe but that's that's too binary like
it's already used right now in
healthcare but it's just the doctor's
meeting notes that that would normally
take 30 minutes to go and transcribe
yeah so so it's we you can't be too too
black and white on that one yeah what's
happening right now the reason why the
the progress is so rapid in coding
assistance and I I think you know you're
right that enthropic with was it claw
3.7 37 yeah yeah I think they're the
leader and in fact I think the manis
demo that we showed it's not entirely a
rapper on clawed because they actually
they do a number of different things but
I think they are significantly using
anthropic for the code assistant part of
it in any event the reason why the
progress is so rapid with coding is
because code compiles and you can
determine objectively whether it works
or not, you can validate it. And so that
makes it a perfect area for AI to get
better at through reinforcement learning
and test time compute is AI tries a
bunch of things. It sees what works. It
sees what compiles, sees what the user
then accepts, and then be able to learn
and iterate based on that. That's why
coding right now is really the big
breakthrough application and use case.
But it's not going to be the only one. I
mean, math is another good area where I
think AI is improving rapidly again
because math you have proofs and you can
look at the results and see if it
validates. Now, I think one of the big
questions in terms of AI progress is how
extensible is the progress to other
areas that don't easily validate that
way. So, for example, legal work is I
think a really good area for AI, but how
do you validate that it's correct? You
would have to go to a court, right? the
court is the compiler like a lawsuit is
the compiler or maybe the laws or you
could hire like a thousand lawyers or
experts in an area to basically do you
know reinforcement people are doing
people people are doing but it's not
like a compiler to your point it's not
like a it's not the progress isn't going
to be as rapid because it's harder to
validate but absolutely but my guess is
that once they figure out how to nail
coding math and the things that are
easily validated they can move to the
things that are harder to validate and
but I I think this is one of the big
questions is whether I think people just
kind of assume that AI progress will be
you know equally fast in all areas and I
think it's possible that AI gets really
good in some areas better than human but
it's sort of childlike in other areas
and um narrow possible outcome is make
your point right like with a finite
answer or an answer we know is the
definitive well this is but but this is
the the important thing about the agent
kind of you know let's just say uh
framework or architecture uh you
momentum was was instead of just saying
okay we're going to do a single pass
through the model and then whatever it
comes back with is is we're going to be
satisfied um like you know the legal
work might be might be reviewed by
another agent whose job is to review
legal work and so we we can just throw
more and more compute at the problem uh
and we're just early in figuring out how
to architect those or multiple models
right you could
have you have enthropic checkp check
Gemini yeah when you have some anomaly
it spits back out to the user. So human
in the loop still matters in this type
of process. In the early days of OCR,
you would have a computer say here's the
characters in this legal document. Then
you'd have two humans type it in and
then you would get a certain level of
certainty. You'll quickly find that when
you layer these models on top of each
other, the test time compute costs are
astronomical. Y and Aaron's probably
dealt with this like it's like I get a
bill from AWS and it's like oh wait,
hold on a second. I just, you know, per
100,000 this month. what's going on. So
we have to get to the bottom. That that
by the way is another major trend line
which is that the new applications that
we talked about are all much more token
intensive. So we went from basic LLMs
totally you know which don't require
that many tokens to give you an answer
to the reasoning model where you can
spend a thousand times more tokens just
getting one answer to a question and now
the agents are going to be even more
token intensive than that. So the amount
of compute required to serve all these
new applications is going to be massive
which is why I think the capex buildout
actually makes sense when you do a deep
research to your point David you're
firing off maybe 200 queries and it's
asking them the AI is saying hey what
query should I ask on behalf of the user
and then you go down that rabbit hole
you it's basically like doing 200 of
them at once Ryan uh your thoughts here
on AI first companies and agentic
computing well the one I really wanted
to tie back to was actually our earlier
conversation on tariffs and there's a
very real use case of of LLMs is how do
you classify a product and you'd like to
get to what we see today when we did our
first machine learning based natural
language classification of a product you
take a product URL listing page a
Shopify page or Amazon page and say hey
what what classification code is this
what duty is owed six years ago in a
hackathon we got to like 70% accuracy
we're now in high 90s accuracy versus
what a human trained expert will get to
but you actually get to which is not
good enough. You know, you're wrong 3%
of the time. You know, you might have
committed a violation of the law for
sure. But actually, what is truth in
that regard? It's there's a lot of gray
area in this. And truth ultimately is
what does customs say? What does the CBP
determine is correct? And those guys are
using software, right? That's pretty
that's a very simple algorithm and it's
a decision tree that's going, okay, is
it a shoe? Yes. Is the top made of
leather? Yes. You know, is the bottom
made of rubber? and they just go through
a very simple and that outputs it. And
so on some level, if you convince the
government to use your LLM, it becomes
true whether it's true or not. I think
there's going to be some interesting
cases like that that we haven't really
thought through of like when does the
government adopt these to be the source
of truth. Okay. All of this speaks to
this thing that's going to sound totally
esoteric, but like we all used to on QA,
right? Like the least talented engineers
were allocated to QA. I think in the
world of AI it's it'll end up being the
most talented. You know we internally at
8090 we call it improvement engineering
and it's a total specialty. It's similar
to when I kind of coined the growth team
at Facebook. I feel it's the same kind
of moment where improvement engineering
is really the skill that translates toy
apps and vibe coding into something
that's very practical and real. And we
like and my team and the leader of this
team, he's like steeped in things like
Japanese kata management from like
Toyota and quality systems and these are
all the things that matter when you're
trying to just shrink the error rate
down to zero so that you can use it in a
reliable way and also to document it so
that if people want to question what
happened or have you know recompense or
some some way to come back and say hey
that that really harmed me, how do you
even do that like these are all very
complicated issues that that will get
sorted up. Super I think interesting.
Okay, four. I got to wrap guys. I got to
catch a flight to Miami. Let me do a
closing here. If you want to keep going,
you're welcome to. Three, two, the plane
just waits. Just text the pilot and just
tell them you're all right. Listen, I'm
not burning all the allin credits, so to
speak, and all of our tokens. I'm
kidding. I'm kidding. I'm kidding.
private to everything and then putting
it on the allin budget and the rest of
us are flying southwest
for
your dictator Jim Paul. I miss a flight.
It's a strange concept. Yeah, David s.
What does that mean? David, when's the
last time you flew commercial? Clinton,
I haven't missed a flight in about 15
years
for Ryan Peterson from Flexport. Aaron
Lee from the amazing box. Chim pitia.
David Saxs your chairman dictator Zar. I
am the world's greatest moderator. Love
you, boys.
We'll let your winners ride.
Rainman David S.
We open sourced it to the fans and
they've just gone crazy with it.
Queen of
[Music]
besties
[Music]
are my dog taking notice your driveways.
Oh man, my habitasher will meet up. 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 that we just need to release
somehow.
Wet your feet. Wet your feet. Your feet.
That's going to be good. We need to get
merch. I'm going all
[Music]
in. I'm going all in.
Ask follow-up questions or revisit key timestamps.
The podcast features a panel discussion with Ryan Peterson (Flexport CEO), Aaron Lee (Box), Chimath, and David Saxs, covering several key topics. They first discuss Trump's first 100 days, with varied assessments on border security, economic policies, and the impact of tariffs, alongside a mention of a new private club in DC. A significant portion is dedicated to the immediate and potential downstream effects of tariffs on the global supply chain, with Flexport CEO Ryan Peterson detailing declining freight bookings and strategies companies employ to mitigate costs. The conversation then shifts to the rapidly evolving field of AI agents. The panel explores their functionality, potential to transform various industries by automating tasks (and creating new work), the challenges of hallucinations and quality assurance in enterprise adoption, and the exponential advancements in AI algorithms, chips, and data center infrastructure.
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