Tech Brew Ride Home - Mon. 08/11 – Nvidia To Pay The Government To Sell In China
Episode Date: August 11, 2025Nvidia and AMD are paying the US government 15% of revenue to sell AI chips to China. Remember how with GPT-5, they took away the old models? Well, the old models are back. Some critical analysis of t...he whole GPT-5 moment. And you know what is finally never coming back? AOL dialup internet. Links: Nvidia and AMD to pay 15% of China chip sale revenues to US government (FT) Trump Bid for Cut of Chip Revenue Risks ‘Dangerous World’ (Bloomberg) Intel CEO Singled Out by Trump to Visit White House on Monday (WSJ) OpenAI Faces Backlash for Retiring Older Models With GPT-5 Launch (PCMag) GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it. (Gary Marcus) A BEST CASE SCENARIO FOR AI? (David Sacks) AOL discontinues its dial-up internet, and we're just surprised they even offered it in 2025 (PCGamer) Learn more about your ad choices. Visit megaphone.fm/adchoices
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Welcome to the Tech Brew Ride Home from Monday, August 11th, 2025.
Temporarily from London, I'm Brian McCullough.
Today, Nvidia and AMD are paying the U.S. government 15% of revenue to sell AI chips to China.
Remember how with GPT5 they took away the old models?
Well, the old models are back.
Some critical analysis of the whole GPT5 moment.
And you know what is finally never coming back?
AOL dial-up internet.
Here's what you missed today in the world.
of tech. Sources are telling various places that Nvidia and AMD have agreed to pay the U.S.
government 15% of revenues from H20 and MI308 chip sales in China to obtain the export licenses
granted to those companies last week. Quoting the FT. The U.S. officials said Nvidia agreed to
share 15% of the revenues from H20 chip sales in China and AMD will provide the same percentage
from MI308 chip revenues. Two people from from M.I.308 chip revenues. Two people from
familiar with the arrangement said the Trump administration had not yet determined how to use the money.
The Financial Times reported on Friday that the Commerce Department started issuing H20 export licenses
on Friday two days after Nvidia Chief Executive Jensen Huang met President Donald Trump.
The U.S. officials said the administration had also started issuing licenses for AMD's China Chip.
The quid pro quo arrangement is unprecedented. According to export control experts, no U.S.
company has ever agreed to pay a portion of their revenues to obtain export.
sports licenses. But the deal fits a pattern in the Trump administration where the president
urges companies to take measures such as domestic investments, for example, to prevent the
imposition of tariffs in an effort to bring in jobs and revenue to America. AMD did not respond
to a request for comment. Invitya did not deny that it had agreed to the arrangement. It said,
we follow rules the U.S. government sets for our participation in worldwide markets, end quote.
Bernstein analysts estimate that based on NVIDIA's guidance before the controls kicked in earlier this
year, it would have sold around 1.5 million H20 chips to China in 2025, generating around
$23 billion in revenue. The move follows controversy over the H20 chip. Invita tailored the H20 for
the Chinese market after President Joe Biden imposed tough export controls on more advanced
chips used for artificial intelligence. In April, the Trump administration said it would ban H20
exports to China. However, Trump reversed course in June after meeting Huang at the White House.
over the following weeks, NVIDIA became concerned because the Bureau of Industry and Security,
the arm of the Commerce Department that runs export controls, had not issued any licenses.
Huang raised the issue with Trump on Wednesday, according to people familiar with the exchange,
and BIS started issuing licenses on Friday.
The H-20 revenue deal comes as NVIDIA and the Trump administration face criticism over the
decision to sell the chip to China.
U.S. security experts say the H-20 will help the Chinese military
and undermine U.S. strength in artificial intelligence.
Beijing must be gloating to see Washington turn export licenses into revenue streams,
Liza Tobin, a China expert who served on the National Security Council in the First Trump
administration, now at the Jamestown Foundation.
What's next, letting Lockheed Martin sell F-35s to China for a 15% commission, end quote.
Some BIS officials have also expressed concern about the reversal, according to people familiar
with the situation.
In a recent letter to Commerce Secretary Howard Lettnick, Matt Pottinger, a China expert who
was national security advisor in Trump's first term and 19 other security experts urged the U.S.
not to grant H20 licenses. They said the H20 was a potent accelerator of China's frontier
AI capabilities and would ultimately be used by the Chinese military. Invidia said the claims
were, quote, misguided and rejected the notion that China could use the age 20 for military
purposes, end quote. And quoting from Bloomberg, to call this unusual or unprecedented would be a
staggering understatement, said Stephen Olson, a former U.S. trade negotiator now with the Singapore-based
ISEA, Usov-I-ZAC Institute. Quote, what we are seeing is in effect the monetization of U.S. trade policy
in which U.S. companies must pay the U.S. government for permission to export. If that's the case,
we've entered into a new and dangerous world, end quote. The chip payment arrangement may face
legal challenges because it could be construed as an export tax, something that's not allowed under the
Constitution, trade experts said. The proposal is the latest direct government intervention into business
and finance since Trump returned to the Oval Office in January, as well as a chaotic tariff campaign
and persistent criticism of a sitting Federal Reserve chairman. Trump has used his truth social platform
for everything from calling on CEOs to resign to offering commentary on corporate advertising
campaigns. The NVIDIA and AMD revenue sharing deals may now prompt the White House to target other
industries and goods, according to Deborah Elms, head of trade policy at the Heinrich Foundation
in Singapore. The sky is the limit, she said. You could come up with all sorts of company-specific,
country-specific combinations that would say, no one else can trade, but if you pay us directly,
then you get the ability to trade. Although NVIDIA and AMD agreed to the terms, there are questions
about the legality of the agreement, Elms said. The arrangement looks like an export tax, which
is, again, forbidden by the U.S. Constitution. While the U.S. has intervened before, including by
taking stakes in private companies after the 2008 financial crisis, a similar deal like the one struck
with NVIDIA and AMD is hard to remember and without proper oversight could lead to a, quote,
crony capitalism state, according to Scott Kennedy, senior advisor at the Center for Strategic
and International Studies in Washington. It represents a huge shift in the way the American
economy is supposed to operate, Kennedy said. It won't make anyone happy.
except maybe the Chinese who will get their chips and watch the U.S. political system go through
gyration and domestic tensions, end quote.
Speaking of CEOs who have been spoken out against by the president, sources also say that
Intel CEO Lip But Tan is set to meet Trump on Monday to propose ways the U.S. and Intel
could work together, quoting the journal.
Tan is expected to have a wide-ranging conversation with Trump with the intent of
explaining his personal and professional background the people said.
He could also propose ways.
that the government and Intel could work together, they said. Tan hopes to win Trump's approval
by showing his commitment to the country and pledging the importance of keeping Intel's manufacturing
capabilities as a national security issue. One of the people said, Tan said in a message to Intel
employees Thursday evening that the U.S. has been his home for more than 40 years and that Intel has
engaged with the administration to ensure, quote, they have the facts. Over 40 plus years in the
industry, I've built relationships around the world and across our diverse ecosystem, and I have always
operated with the highest legal and ethical standards, he said, end quote.
So when I first heard that people were pissed that OpenAI had unified the selector thing,
so you could only get GPT5 and GPT5 with thinking.
When I first heard they were calling for 4-0 and other older models back.
I thought it was sort of maybe a joke, but it was not a joke.
Quoting PCMag, it looks like OpenAI didn't anticipate some users' affection for the older GPTs.
Everything that made ChatGPT actually useful for my workflow deleted, wrote one Reddit user who
particularly misses the GBT 4-O model.
4-O wasn't just a tool for me.
It helped me through anxiety, depression, and some of the darkest periods of my life.
It had this warmth and understanding that felt human, the user added.
On Reddit's forum devoted to ChatGPT, some users are even canceling their paid subscriptions.
What kind of corporation deletes a workflow of eight models overnight with no prior warning to their paid users?
one subscriber. Other users aren't buying OpenAI's marketing claims about GPT5 being superior and argue the
model is a, quote, downgrade and a, quote, disaster. They have completely ruined chat GPT. It's slower,
even without the thinking mode. It has such short replies and it gets some of the most basic things wrong,
wrote another user, end quote. Well, then, OpenAI said chat GPT pro users would still be able to
select old models for the time being, but still plan to deprecate them in 60 days.
or so, Sam Altman said plus users would be able to keep using GPT40, for example. But now,
Altman has said OpenAI will bring back GPT40 to chat GPT, and they are raising reasoning model
rates for free and plus users as usage of those reasoning models increases. Quoting Gizmodo.
On August 7th, OpenAI launched GPT5, presenting it as a unified system that would automatically
route user queries to the best model for the job.
In doing so, it removed the menu that allowed users to choose between older trusted models like GPT40, which was launched in March 2023.
For customers paying for subscriptions like ChatGPT Plus at $20 a month, the sudden change felt like a betrayal.
They had built their professional and creative workflows around a toolkit of different models, each with its own strengths, one for creativity, another for pure logic, another for deep research.
forcing everyone onto a single new model broke those workflows and removed their ability to cross-reference
answers to check for errors or hallucinations. The backlash was immediate and fierce,
resulting in a cascade of subscription cancellations and online petitions. As the outrage grew over
the weekend, Sam Altman took to X to do damage control, acknowledging the company had
misjudged the situation and announcing a series of concessions. The biggest news came in a direct reply
to a user asking the question on everyone's mind. And bringing back 4-0? It's a
back, go to settings and pick show legacy models. Altman responded confirming the return of the fan-favorite
model. While GPT-5 remains the default, users can now opt back into the older versions. Finally,
Altman promised more transparency. He announced an upcoming UI change to show users which model is
actively responding to their queries and promised a detailed blog post this week explaining the
company's, quote, thinking on how we are going to make capacity tradeoffs. He also shared data
showing the immense popularity of the new reasoning models, revealing that daily usage among
plus users has jumped from 7% to 24%, subtly justifying the company's initial focus on the new tech,
even if the rollout was a disaster. Reasoning is the AI's ability to think step-by-step to resolve
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Well, let's go ahead and use that as an excuse to continue our tracking of the fallout
from the release of GPD5.
Noted critic of some of the AI boosterism, Gary Marcus, had a piece up this weekend,
saying that GPD5's release was underwhelming,
offering incremental improvements and failing to meet expectations, thereby showing that pure scaling
simply isn't the path to AGI. Quote, GPD5 may be a moderate quantitative improvement,
and it may be cheaper, but it still fails in all the same qualitative ways as its predecessors
on chess, on reasoning, envision, even sometimes on counting, and basic math.
Hallucinations linger, dozens of shots on goal, grok, claw, Gemini, etc., have inviversed.
variably face the same problems. Distribution shift has never been solved. That's exactly what it
means to hit a wall, and exactly the particular set of obstacles I described in my most notorious and
prescient paper in 2022. Real progress on some dimensions, but stuck in place on others. Ultimately,
the idea that scaling alone might get us to AGI is a hypothesis. No hypothesis has ever been given
more benefit of the doubt nor more funding. After half a trillion dollars,
in that direction, it is obviously time to move on. The disappointing performance of GPT-5
should make that enormously clear. Pure scaling simply isn't the path to AGI. It turns out that
attention, the key component in LLMs, and the focus of the Justly Famous Transformer paper,
is not, in fact, all you need. All I am saying is give neurosymbolic AI with explicit world
models a chance. Only once we have systems that can reason about enduring representations of the
world, including, but not limited to, abstract, symbolic ones, will we have a genuine shot at
AGI? End quote. He had a lot more to say than just what I quoted you there, so click through on
the link to read the whole thing. And also, over the weekend, David Sachs of all in fame had a long
tweet that a ton of people responded to, including Elon Musk, Mark Benioff, and based Beth Jaisos.
And this is what Sachs said, quote, the Dumer narratives were wrong, predicated on a rapid take
takeoff to AGI, they predicted that the leading AI model would use its intelligence to self-improve,
leaving others in the dust, and quickly achieving a godlike superintelligence. Instead, we are
seeing the opposite. The leading models are clustering around similar performance benchmarks.
Model companies continue to leapfrog each other with their latest versions, which shouldn't
be possible if one achieves rapid takeoff. Models are developing areas of competitive advantage
becoming increasingly specialized in personality, modes, coding, and math as opposed to one model,
becoming all-knowing.
None of this is to gain say the progress.
We are seeing strong improvement in quality, usability, and price to performance across the top
model companies.
This is the stuff of great engineering and should be celebrated.
It's just not the stuff of apocalyptic pronouncements.
Oppenheimer has left the building.
The AI race is highly dynamic, so this could change.
But right now, the current situation is Goldilocks.
We have five major American companies vigorously competing on frontier models.
This brings out the best in everyone and helps America win the AI race.
As Balagy has written, we have many models from many factions that have all converged on similar
capabilities rather than a huge lead between the best model and the rest.
So we should expect a balance of power between various humans slash AI fusions rather than a single
dominant AGI that will turn us all into paperclips slash pillars of salt.
So far, we have avoided a monopolistic outcome that vests all power.
and control in a single entity. In my view, the most likely dystopian outcome with AI is a marriage
of corporate and state powers similar to what we saw exposed in the Twitter files where
trust and safety gets weaponized into government censorship and control. At least when you have
multiple strong private sector players, that gets harder. By contrast, winner take-all dynamics
are more likely to produce Orwellian outcomes, end quote. He went on to say that he thinks
open source will play a key role going forward, offering most capabilities at a fraction of the cost.
which is appealing for customization and control.
AI's value will split between general models and vertical applications with humans providing
goals, context, and verification. He thinks that job loss fears are overblown because success
favors those who use AI effectively. And again, read the whole thing because he said a lot more,
so link to that one in the show notes. Finally today, the end of another tech era.
AOL is discontinuing its dial-up internet service on September 30th.
after launching it all the way back in 1991, quoting PC gamer.
AOL announced this week that it will be discontinuing its dial-up service next month,
which probably isn't as surprising as the fact that AOL was still offering dial-up in 2025 to begin with.
Dial-up usage has plummeted over recent years.
AOL had some 1.5 million dial-up users in 2015,
but as of 2021, that number was reportedly in the low thousands.
So this change probably doesn't impact many people,
but it's somewhat shocking that dial-up usage has carried on for so long. AOL originally launched
its dial-up service in 1991, meaning it will be 34 years old when it's finally shut down next month.
Unfortunately, some of the people still using dial-up probably don't have many other options for
internet access. Broadband infrastructure has yet to make its way to some remote rural areas,
or if it is present, it's expensive. Many of the AOL customers who were still subscribed to its
dial-up service likely stuck with it out of necessity.
Luckily for those people, AOL isn't the only dial-up provider around.
There are still a few others offering the antiquated service.
However, ideally, efforts are made to continue expanding broadband access so people don't
have to keep leaning on slow outdated internet options like dial-up.
An estimated 22.3% of Americans in rural areas and 27.7% of Americans in tribal lands still
lack access to high-speed internet.
In urban areas, only one and a half percent of Americans face the state.
same issue, end quote. Here is London. Giddy London. Is it home of the free or what? I guess I picked
a great week to come back here. The weather today was insane. Talk to you tomorrow.
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