Author name: Tim Belzer

reminder:-donate-to-win-swag-in-our-annual-charity-drive-sweepstakes

Reminder: Donate to win swag in our annual Charity Drive sweepstakes

How it works

Donating is easy. Simply donate to Child’s Play using a credit card or PayPal or donate to the EFF using PayPal, credit card, or cryptocurrency. You can also support Child’s Play directly by using this Ars Technica campaign page or picking an item from the Amazon wish list of a specific hospital on its donation page. Donate as much or as little as you feel comfortable with—every little bit helps.

Once that’s done, it’s time to register your entry in our sweepstakes. Just grab a digital copy of your receipt (a forwarded email, a screenshot, or simply a cut-and-paste of the text) and send it to [email protected] with your name, postal address, daytime telephone number, and email address by 11: 59 pm ET Friday, January 2, 2026. (One entry per person, and each person can only win up to one prize. US residents only. NO PURCHASE NECESSARY. See Official Rules for more information, including how to enter without making a donation. Also, refer to the Ars Technica privacy policy (https://www.condenast.com/privacy-policy).

We’ll then contact the winners and have them choose their prize by January 31, 2025 (choosing takes place in the order the winners are drawn). Good luck!

Reminder: Donate to win swag in our annual Charity Drive sweepstakes Read More »

ukrainians-sue-us-chip-firms-for-powering-russian-drones,-missiles

Ukrainians sue US chip firms for powering Russian drones, missiles

Dozens of Ukrainian civilians filed a series of lawsuits in Texas this week, accusing some of the biggest US chip firms of negligently failing to track chips that evaded export curbs. Those chips were ultimately used to power Russian and Iranian weapon systems, causing wrongful deaths last year.

Their complaints alleged that for years, Texas Instruments (TI), AMD, and Intel have ignored public reporting, government warnings, and shareholder pressure to do more to track final destinations of chips and shut down shady distribution channels diverting chips to sanctioned actors in Russia and Iran.

Putting profits over human lives, tech firms continued using “high-risk” channels, Ukrainian civilians’ legal team alleged in a press statement, without ever strengthening controls.

All that intermediaries who placed bulk online orders had to do to satisfy chip firms was check a box confirming that the shipment wouldn’t be sent to sanctioned countries, lead attorney Mikal Watts told reporters at a press conference on Wednesday, according to the Kyiv Independent.

“There are export lists,” Watts said. “We know exactly what requires a license and what doesn’t. And companies know who they’re selling to. But instead, they rely on a checkbox that says, ‘I’m not shipping to Putin.’ That’s it. No enforcement. No accountability.”

As chip firms allegedly looked the other way, innocent civilians faced five attacks, detailed in the lawsuits, that used weapons containing their chips. That includes one of the deadliest attacks in Kyiv, where Ukraine’s largest children’s hospital was targeted in July 2024. Some civilians suing were survivors seriously injured in attacks, while others lost loved ones and experienced emotional trauma.

Russia would not be able to hit their targets without chips supplied by US firms, the lawsuits alleged. Considered the brain of weapon systems, including drones, cruise missiles, and ballistic missiles, the chips help enable Russia’s war against Ukrainian civilians, they alleged.

Ukrainians sue US chip firms for powering Russian drones, missiles Read More »

trump-tries-to-block-state-ai-laws-himself-after-congress-decided-not-to

Trump tries to block state AI laws himself after Congress decided not to


Trump claims state laws force AI makers to embed “ideological bias” in models.

President Donald Trump talks to journalists after signing executive orders in the Oval Office at the White House on August 25, 2025 in Washington, DC. Credit: Getty Images | Chip Somodevilla

President Trump issued an executive order yesterday attempting to thwart state AI laws, saying that federal agencies must fight state laws because Congress hasn’t yet implemented a national AI standard. Trump’s executive order tells the Justice Department, Commerce Department, Federal Communications Commission, Federal Trade Commission, and other federal agencies to take a variety of actions.

“My Administration must act with the Congress to ensure that there is a minimally burdensome national standard—not 50 discordant State ones. The resulting framework must forbid State laws that conflict with the policy set forth in this order… Until such a national standard exists, however, it is imperative that my Administration takes action to check the most onerous and excessive laws emerging from the States that threaten to stymie innovation,” Trump’s order said. The order claims that state laws, such as one passed in Colorado, “are increasingly responsible for requiring entities to embed ideological bias within models.”

Congressional Republicans recently decided not to include a Trump-backed plan to block state AI laws in the National Defense Authorization Act (NDAA), although it could be included in other legislation. Sen. Ted Cruz (R-Texas) has also failed to get congressional backing for legislation that would punish states with AI laws.

“After months of failed lobbying and two defeats in Congress, Big Tech has finally received the return on its ample investment in Donald Trump,” US Sen. Ed Markey (D-Mass.) said yesterday. “With this executive order, Trump is delivering exactly what his billionaire benefactors demanded—all at the expense of our kids, our communities, our workers, and our planet.”

Markey said that “a broad, bipartisan coalition in Congress has rejected the AI moratorium again and again.” Sen. Maria Cantwell (D-Wash.) said the “executive order’s overly broad preemption threatens states with lawsuits and funding cuts for protecting their residents from AI-powered frauds, scams, and deepfakes.”

Trump orders Bondi to sue states

Sen. Brian Schatz (D-Hawaii) said that “preventing states from enacting common-sense regulation that protects people from the very real harms of AI is absurd and dangerous. Congress has a responsibility to get this technology right—and quickly—but states must be allowed to act in the public interest in the meantime. I’ll be working with my colleagues to introduce a full repeal of this order in the coming days.”

The Trump order includes a variation on Cruz’s proposal to prevent states with AI laws from accessing broadband grant funds. The executive order also includes a plan that Trump recently floated to have the federal government file lawsuits against states with AI laws.

Within 30 days of yesterday’s order, US Attorney General Pam Bondi is required to create an AI Litigation Task Force “whose sole responsibility shall be to challenge State AI laws inconsistent with the policy set forth in section 2 of this order, including on grounds that such laws unconstitutionally regulate interstate commerce, are preempted by existing Federal regulations, or are otherwise unlawful in the Attorney General’s judgment.”

Americans for Responsible Innovation, a group that lobbies for regulation of AI, said the Trump order “relies on a flimsy and overly broad interpretation of the Constitution’s Interstate Commerce Clause cooked up by venture capitalists over the last six months.”

Section 2 of Trump’s order is written vaguely to give the administration leeway to challenge many types of AI laws. “It is the policy of the United States to sustain and enhance the United States’ global AI dominance through a minimally burdensome national policy framework for AI,” the section says.

Colorado law irks Trump

The executive order specifically names a Colorado law that requires AI developers to protect consumers against “algorithmic discrimination.” It defines this type of discrimination as “any condition in which the use of an artificial intelligence system results in an unlawful differential treatment or impact that disfavors an individual or group of individuals on the basis” of age, race, sex, and other protected characteristics.

The Colorado law compels developers of “high-risk systems” to make various disclosures, implement a risk management policy and program, give consumers the right to “correct any incorrect personal data that a high-risk system processed in making a consequential decision,” and let consumers appeal any “adverse consequential decision concerning the consumer arising from the deployment of a high-risk system.”

Trump’s order alleges that the Colorado law “may even force AI models to produce false results in order to avoid a ‘differential treatment or impact’ on protected groups.” Trump’s order also says that “state laws sometimes impermissibly regulate beyond State borders, impinging on interstate commerce.”

Trump ordered the Commerce Department to evaluate existing state AI laws and identify “onerous” ones that conflict with the policy. “That evaluation of State AI laws shall, at a minimum, identify laws that require AI models to alter their truthful outputs, or that may compel AI developers or deployers to disclose or report information in a manner that would violate the First Amendment or any other provision of the Constitution,” the order said.

States would be declared ineligible for broadband funds

Under the order, states with AI laws that get flagged by the Trump administration will be deemed ineligible for “non-deployment funds” from the US government’s $42 billion Broadband Equity, Access, and Deployment (BEAD) program. The amount of non-deployment funds will be sizable because it appears that only about half of the $42 billion allocated by Congress will be used by the Trump administration to help states subsidize broadband deployment.

States with AI laws would not be blocked from receiving the deployment subsidies, but would be ineligible for the non-deployment funds that could be used for other broadband-related purposes. Beyond broadband, Trump’s order tells other federal agencies to “assess their discretionary grant programs” and consider withholding funds from states with AI laws.

Other agencies are being ordered to use whatever authority they have to preempt state laws. The order requires Federal Communications Commission Chairman Brendan Carr to “initiate a proceeding to determine whether to adopt a Federal reporting and disclosure standard for AI models that preempts conflicting State laws.” It also requires FTC Chairman Andrew Ferguson to issue a policy statement detailing “circumstances under which State laws that require alterations to the truthful outputs of AI models are preempted by the Federal Trade Commission Act’s prohibition on engaging in deceptive acts or practices affecting commerce.”

Finally, Trump’s order requires administration officials to “prepare a legislative recommendation establishing a uniform Federal policy framework for AI that preempts State AI laws that conflict with the policy set forth in this order.” The proposed ban would apply to most types of state AI laws, with exceptions for rules relating to “child safety protections; AI compute and data center infrastructure, other than generally applicable permitting reforms; [and] state government procurement and use of AI.”

It would be up to Congress to decide whether to pass the proposed legislation. But the various other components of the executive order could dissuade states from implementing AI laws even if Congress takes no action.

Photo of Jon Brodkin

Jon is a Senior IT Reporter for Ars Technica. He covers the telecom industry, Federal Communications Commission rulemakings, broadband consumer affairs, court cases, and government regulation of the tech industry.

Trump tries to block state AI laws himself after Congress decided not to Read More »

ars-live:-3-former-cdc-leaders-detail-impacts-of-rfk-jr.’s-anti-science-agenda

Ars Live: 3 former CDC leaders detail impacts of RFK Jr.’s anti-science agenda

The Centers for Disease Control and Prevention is in critical condition. This year, the premier public health agency had its funding brutally cut and staff gutted, its mission sabotaged, and its headquarters riddled with literal bullets. The over 500 rounds fired were meant for its scientists and public health experts, who endured only to be sidelined, ignored, and overruled by Health Secretary Robert F. Kennedy Jr., an anti-vaccine activist hellbent on warping the agency to fit his anti-science agenda.

Then, on August 27, Kennedy fired CDC Director Susan Monarez just weeks after she was confirmed by the Senate. She had refused to blindly approve vaccine recommendations from a panel of vaccine skeptics and contrarians that he had hand-selected. The agency descended into chaos, and Monarez wasn’t the only one to leave the agency that day.

Three top leaders had reached their breaking point and coordinated their resignations upon the dramatic ouster: Drs. Demetre Daskalakis, Debra Houry, and Daniel Jernigan walked out of the agency as their colleagues rallied around them.

Dr. Daskalakis was the director of the CDC National Center for Immunization and Respiratory Diseases. He managed national responses to mpox, measles, seasonal flu, bird flu, COVID-19, and RSV.

Ars Live: 3 former CDC leaders detail impacts of RFK Jr.’s anti-science agenda Read More »

selling-h200s-to-china-is-unwise-and-unpopular

Selling H200s to China Is Unwise and Unpopular

AI is the most important thing about the future. It is vital to national security. It will be central to economic, military and strategic supremacy.

This is true regardless of what other dangers and opportunities AI might present.

The good news is that America has many key advantages in AI.

America’s greatest advantage in AI is our vastly superior access to compute.

We are in danger of selling a large portion of that advantage for 30 pieces of silver.

This is on track to be done against the wishes of Congress as well as most of those in the executive branch.

Who does it benefit? It benefits China. It might not even benefit Nvidia.

Doing so would be both highly unwise and highly unpopular.

We should not sell highly capable Nvidia H200 chips to China.

If it is too late to not sell H200s, we must limit quantities, and ensure it stops there. We absolutely cannot be giving away other future chips on a similar delay.

The good news is that the stock market reaction implies this might not scale.

Bayeslord: I don’t know anyone who thinks this is a good idea.

Jordan Schneider: DOJ arrests H200 smugglers the SAME DAY Trump legalizes their export! too good.

Here it is, exactly as he wrote it on Truth Social:

Donald Trump (President of the United States): I have informed President Xi, of China, that the United States will allow NVIDIA to ship its H200 products to approved customers in China, and other Countries, under conditions that allow for continued strong National Security. President Xi responded positively! $25% will be paid to the United States of America. This policy will support American Jobs, strengthen U.S. Manufacturing, and benefit American Taxpayers. The Biden Administration forced our Great Companies to spend BILLIONS OF DOLLARS building “degraded” products that nobody wanted, a terrible idea that slowed Innovation, and hurt the American Worker. That Era is OVER! We will protect National Security, create American Jobs, and keep America’s lead in AI. NVIDIA’s U.S. Customers are already moving forward with their incredible, highly advanced Blackwell chips, and soon, Rubin, neither of which are part of this deal. My Administration will always put America FIRST. The Department of Commerce is finalizing the details, and the same approach will apply to AMD, Intel, and other GREAT American Companies. MAKE AMERICA GREAT AGAIN!

Peter Wildeford: I wonder what the “conditions that allow for continued strong National Security” will be. Seems important!

The ‘conditions that allow’ clause could be our out to at least mitigate the damage here, since no these sales would not allow for continued strong national security.

I believe this would, if it was carried out at scale without big national security conditions attached, be extremely damaging to American national interests and national security and our ability to ‘beat China’ in any meaningful sense, in addition to any impacts it would have on AI safety and our ability to navigate and survive the transition to superintelligence.

This is happening despite strong opposition from Congress, what looks like opposition from most of those in the executive branch, deep unpopularity among experts and the entire policy community and the strong advice of America’s strongest AI champions on the software side, and unpopularity with the public. The vibes are almost entirely ‘this is a terrible decision, what are we even doing.’

The only ways I can think of for this to be a non-terrible idea are either if the Chinese somehow refuse the chips in which case it will do little harm but also little good, or (and to be fully clear on this possibility: I have zero reason to believe this to be the case) that H200s have some sort of secret remote control or backdoor.

I presume this decision comes from a failure by Trump to appreciate the strategic importance, power and cost efficiency of the H200 chips, combined with aggressive pushing of this from those including David Sacks who have repeatedly put private industry interests, especially those of Nvidia, above the interests of America.

Alec Stapp (IFP): Massive own goal to export these AI chips to China.

The H200 is 6x more powerful than the H20, which was previously the most powerful chip approved for export.

Our compute advantage is the main thing keeping us ahead of China in AI.

Why would we throw that away?

Chris McGuire (Council on Foreign Relations): This is the single biggest change in U.S.-China policy of the entire Administration, signaling a reversion to the cooperative policies of the 2000s and early 2010s and away from the competitive policies of Trump 1 and Biden.

It is a transformational moment for U.S. technology policy, which until now had been predicated on investing at home while holding China back.

Now we are trying to win a race against a competitor who doesn’t play by the rules.

Chris McGuire: This is a seachange in U.S. policy, and a significant strategic mistake. If the United States sells AI chips to China that are 18 months behind the frontier, it negates the biggest U.S. advantage over China in AI. Here are four reasons that this new policy helps China much more than it helps the United States:

1️⃣No Chinese AI chip firm poses a strategic threat to Nvidia or any other U.S firm. China does not plan to make a chip better than the H200 until Q4 2027 at the earliest. It also is severely constrained in the number of lower-quality chips it can make. And China will continue to do everything in its power to reduce its dependency on US AI chips, even while it retains access to US chips.

2️⃣Because the U.S. lead over China in AI chips is rapidly increasing, a fixed 18 month delay will be even more beneficial to China in the coming months and years. It means the United States could start to sell Blackwell chips to China as soon as the middle of next year – despite the fact that no Chinese firm has plans to make a chip as good as the GB200 any time this decade. And Rubin chips – which are projected to be 28x (!) better than U.S. export control thresholds later in President Trump’s term.

3️⃣ Exporting large numbers of AI chips to China will provide an enormous increase to China’s aggregate AI compute capabilities; the quantity of chips that are approved will be key. Large quantity exports will also allow China to compete with U.S. firms in AI infrastructure construction globally – including with “good enough” AI data centers that use previous-generation technology but are subsidized by the Chinese government and cheaper than U.S. offerings. Right now China cannot offer any product that can compete globally with U.S. data centers. That is about to change.

4️⃣ We got nothing in exchange for this. This is a massive concession to China, reversing the most significant U.S. technology protection policy vis-a-vis China that has ever been implemented and China’s second most significant criticism of U.S. policy, behind only U.S. support for Taiwan. But the way reporting frames it, this is a unilateral U.S. concession. If the tables were turned, China would not give the United States H200s – and if they did, they certainly wouldn’t give it to us for free.

Peter Wildeford: 💯on these notes on selling 🇨🇳 the H200 chip…

– gives 🇨🇳 access to chips ~2 years ahead of what they can make

– doesn’t slow down 🇨🇳 development much

– if we allow large quantities of exports, it’s all China needs to compete with US AI + cloud

– 🇺🇸 gets nothing in return? [other than the 25% cut]

Right now we have a huge compute advantage. This gives a lot of that away.

Selling H200s would be way, way less bad than selling China the B30A.

Selling H200s would be way, way worse than selling China the H20.

Tim Fist: The H200 belongs to the previous “Hopper” generation of NVIDIA AI chips. These are still widely used for frontier AI in the US and will likely remain so for 1 to 2 years.

18 of the 20 most powerful publicly documented GPU clusters primarily use Hopper chips.

IFP dives into the technical specifications so you don’t have to. If you are taking this issue fully seriously I encourage you to read the whole thing.

Tim Fist (IFP): The US has reportedly decided to approve exports of NVIDIA’s H200 chip to China. This gives Chinese AI labs chips that outperform anything China can make until ~2028.



How big a deal this is depends on how many we export.

… Why is compute advantage good?

A bigger advantage means greater US capacity to train more/more powerful models, support more and better AI and cloud companies, and deploy more AI at home and abroad.

I will summarize.

  1. The Nvidia H200 is six times as powerful as the Nvidia H20.

  2. China will be unable to produce chips superior to the H200 until Q4 2027 at the earliest. Even when it does this, it will have very little manufacturing capacity.

  3. H200s would allow Chinese AI supercomputers at roughly +50% cost for training and +100%-500% for inference, compared to Americans with Blackwells.

  4. China’s manufacturing capabilities and timeline will be entirely unaffected by these exports, because they will proceed at maximum speed either way. This is a matter of national security for them and their domestic market is gigantic.

  5. Every chip we export is a chip that would have gone to America instead.

That last point is important. There is demand for as many chips as we can manufacture. Every time we task as fab with producing an H200 to sell to China, it could have produced a chip for America, or sold that H200 to America.

So is our massive compute manufacturing advantage. It’s big:

How much would H200 exports erode our compute advantage? Quite a lot.

Essentially no.

The vibes were universally terrible. Nobody wants this. Well, almost no one.

Drew Pavlou: Is there any steel man case for this at all?

Could it delay a Chinese manufacturing shift to their own indigenous super advanced chips?

Please tell me that there’s a silver lining.

Melissa Chen: No. This is the Iran Deal for the Trump admin.

LiquidZulu: The steel man is that socialism is bad, and it is good to let people voluntarily trade.

Samuel Hammond (FAI): There’s zero upside for the US, sorry. The most we can hope is that China’s boomer leadership blocks them for us, but I’m not betting on it. At minimum Chinese chip makers will buy H200s to strip them for HBM3E to reverse engineer and put into Huawei chips.

Josh Rogin: The Chinese market will ultimately be lost to Chinese competitors no matter what. Giving Chinese firms advanced US tech now doesn’t delay that – it just gives China a way to catch up with the United States even faster. Strategically stupid.

Tom Winter (NBC News): Shortly before this was announced the Justice Department unsealed a guilty plea as part of “Operation Gatekeeper” detailing efforts by several businessman to traffic these chips to locations in China.

They described the H100 and H200 as “among the most advanced GPUs ever developed, and their export to the People’s Republic of China is strictly prohibited.”

Peter Wildeford: Wow – this DOJ really gets it. Trump should listen.

Derek Thompson: What the WH claims its economic policy is all about: Stop listening to those egghead free-trade globalists, we’re doing protectionism for the national interest!

What our AI policy actually is: Stop worrying about the national interest, we’re doing free-trade globalism!

What unites these policies: Trump just does stuff transactionally, and none of it “makes” “strategic” “sense”

Dean Ball: DC is filled with national security and China hawks who are, if anything, accelerationists with respect to ai, who also support aggressive chip controls.

.. If you mean “the people who think AI is going to be really important, not like internet important but like really goddamn fucking important, please pay attention, oh my god why are you not paying attention for the love of christ do you not understand that computers can now think,” yes, I would agree that community is broadly positively disposed toward chip export controls.

If you think that AI is not as important as Dean’s description, or not as important on a relatively short time frame, and you’re thinking about these questions seriously, mostly you still oppose selling the H200s, because the reasons to not do this are overdetermined. It’s a bad move for America even if we know that High Weirdness is not coming within a few years and that AI will not pose an existential risk.

Trade is generally good’ is true enough but this is very obviously a special case where this would not be a win-win trade, as most involved in national security discussions agree, and most China hawks agree. At some point you don’t sell your rival ammunition.

The default attempted steelman is that this locks China into Nvidia and CUDA and makes them dependent on American chips, or hurts their manufacturing efforts.

Except this simply is not true. It does not lock them in. It does not make them dependent. It does not slow down their manufacturing efforts.

There are those who say ‘this is good for open source’ and what they mean is ‘this is good for Chinese AI models.’ There is that, I suppose.

The other steelman is ‘the American government is getting 25%.’ Trump loves the idea of getting a cut of deals like this, and this is better than nothing in that it likely lowers quantity traded and the money is nice, but ultimately 25% of the money is, again, chump change versus the strategic value of the chips.

Semafor tries to present a balanced view, pitching the perspective of H200s as a ‘middle ground’ between H20s and B30As and trotting out the usual strawman cases, without addressing the specifics.

One certainly hopes this isn’t being done to try and win other trade concessions such as soybean sales. Not that those things don’t matter, but the concessions available matter far less than the stakes in AI.

In particular, compute is a key limiting factor for DeepSeek.

DeepSeek has made this clear many times over the past two years.

DeepSeek recently came out with v3.2. Their paper makes clear that this could have been a far more capable model if they had access to more compute, and they could be serving the model far faster. DeepSeek’s training runs have, by all reports, repeatedly run into trouble because of lack of compute and attempts to use Huawei chips.

This extends to the rest of the Chinese model ecosystem. China specializes in creating and using models that are cheap to train and cheap to use, partly because that is the niche for fast followers, and also largely because they do not have the compute to do otherwise.

If we gave the Chinese AI ecosystem massive amounts of compute, they would be able to train frontier models, greatly increasing their share of inference. Their startups and AI services would be in much better positions against ours across a variety of sizes and use cases. Our commercial and cultural power would wane.

Compute is the building block of the future. We have it. They want it.

Our advantage in compute could rapidly turn into a large disadvantage. China’s greatest strength in AI is that it has essentially unlimited access to electrical power. If allowed to buy the chips, China could build unlimited data centers and eclipse us.

There’s nothing new here, but let’s go over this again.

Even if you think AI is all about soft power, cultural influence, economic power and ‘market share,’ ultimately what matters is who is using which models.

Chip sales are profitable, but the money involved is, in relative terms, chump change.

The reason ‘market share of chip sales’ is touted as a major policy goal by David Sacks and similar others is the idea of what have dubbed the ‘tech stack’ combining chips with an AI model, and sometimes other vertical integrations as well such as the physical data center and cloud services. Thanks to the benefits of integration, they say, it will be a battle of an American stack (e.g. Nvidia + OpenAI) against a Chinese stack (e.g. Huawei + DeepSeek).

The whole thing is a mirage.

As an obvious example of this, notice that Anthropic is happy to use chips from three distinct stacks: Microsoft Azure + Nvidia, Amazon Web Services + Tritanium and Google Cloud + TPUs, and everyone agrees that doing this was a great move modulo the related security concerns.

There are some benefits to close integration between chips and models, so yes you would design them around each other when you can.

But those gains are relatively modest. You can mostly run inference and training for any model on any generally sufficiently capable chip, with only modest efficiency loss. You can take a model trained on one chip and run it on another, or one from another manufacturer, and people often do.

Chinese models work much better on Nvidia chips, and when they have access to vastly more chips and more compute. They can be shifted at will. There is no stack.

There is another ‘tech stack’ concept in the idea of a company like Microsoft selling a full-stack data center project, that is shovel ready, to a nation like Saudi Arabia. That’s a sensible way to make things easy on the buyer and lock in a deal. But this has nothing to do with what would happen if you sold highly capable AI chips to China.

The argument for exporting our full ‘tech stack’ to third party nations like Saudi Arabia or the UAE was that they would otherwise make a deal to get Chinese chips and then run Chinese models. That’s silly, in that the Chinese Huawei chips are not up to the task and not available in such quantities, but on some level it makes sense.

Whereas here it makes no sense. You’re selling the Nvidia chips to literal China. They’re not going to use them to run ChatGPT or Claude. Every chip they buy helps train better Chinese models, and is one more chip they have spare for export.

The most important weapon in the AI race is compute.

If it is so important to ‘win the AI race’ and not ‘lose to China,’ the last thing we should be doing is selling highly capable AI chips to China.

If you want to sell the H200 to China, you are not prioritizing beating China.

Or rather, when you say ‘beat China’ you mean ‘maximize Nvidia’s market share of chips sold, even if this turbocharges their labs and models and inference.’

That may be David Sacks’s priority. It is not mine. See it for what it is.

Seán Ó hÉigeartaigh: The ‘AI race with China’ has been used to argue for everything from federal investment in AI to laxer environmental laws to laxer child protection laws to energy buildout to, most recently, pre-emption – by both USG and leading AI lobby groups.

But nothing has been more impactful on the ‘AI race’ by a long shot than export controls on advanced chips. If they really cared about the AI race, they’d support that. H200s getting approved for sale to China another piece of evidence that this is more about making money than anything else.

It’s a classic securitisation move: make something a matter of existential national importance, thus shielding it from democratic scrutiny.

Bonchie: Kind of hard to keep telling people that they must accept bad policy to “win the AI race against China,” when we turn around and sell them the chips they need to win the AI race.

Nvidia, down about 7% over the last month, did pop ~1.3% on the announcement. In the day since it’s given half of that back, with an overnight pop in between.

You might assume that, whoever else lost, at least Nvidia would win from this. The market is not so clear on that.

This leaves a few possibilities:

  1. This probably won’t happen, America will walk it back.

  2. This probably won’t happen, China will refuse the chips.

  3. This probably won’t happen de facto because of the GAIN Act or similar.

  4. This probably won’t happen at scale, there will be strict limits.

  5. This probably won’t happen at scale, the 25% tax is too large.

  6. This probably will happen, but at 25% tax it’s not good for Nvidia.

  7. This probably will happen but market was hoping for better.

  8. This was largely already priced in.

  9. Markets are weird, yo.

CNBC’s analysis here expects $3.5 billion in quarterly revenue, which would be a disaster for national security and presumably boost the stock. But then again, consider that Nvidia is capacity constrained. They can already sell all their chips. So do they want to be selling some of them with a 25% tax attached in a vainglorious quest for ‘market share’? The market might think Jensen Huang is selling out America without even getting more profit in return.

Another factor is that when the announcement was made, the Nasdaq ex-Nvidia didn’t blick, nor was there a substantial move in AMD or Intel. Selling China a lot of inference chips should be bad for American customers of Nvidia, given supply is limited, so that moves us towards either ‘this won’t happen at scale’ or ‘this was already priced in.’ I don’t give the market credit for fully pricing things like this in.

What happens next? Congress and others who think this is a no-good, very bad move for America will see how much they can mitigate the damage. Sales will only happen over time, so there are various ways to try and stop this from happening.

Discussion about this post

Selling H200s to China Is Unwise and Unpopular Read More »

nasa-astronauts-will-have-their-own-droid-when-they-go-back-to-the-moon

NASA astronauts will have their own droid when they go back to the Moon

Artemis IV will mark the second lunar landing of the Artemis program and build upon what is learned at the moon’s south pole on Artemis III.

“After his voyage to the Moon’s surface during Apollo 17, astronaut Gene Cernan acknowledged the challenge that lunar dust presents to long-term lunar exploration. Moon dust sticks to everything it touches and is very abrasive,” read NASA’s announcement of the Artemis IV science payloads.

A simple rendering a small moon rover labeled to show its science instruments

Rendering of Lunar Outpost’s MAPP lunar rover with its Artemis IV DUSTER science instruments, including the Electrostatic Dust Analyzer (EDA) and Relaxation SOunder and differentiaL VoltagE (RESOLVE). Credit: LASP/CU Boulder/Lunar Outpost

To that end, the solar-powered MAPP will support DUSTER (DUst and plaSma environmenT survEyoR), a two-part investigation from the Laboratory for Atmospheric and Space Physics (LASP) at the University of Colorado, Boulder. The autonomous rover’s equipment will include the Electrostatic Dust Analyzer (EDA), which will measure the charge, velocity, size, and flux of dust particles lofted from the lunar surface, and the RElaxation SOunder and differentiaL VoltagE (RESOLVE) instrument, which will characterize the average electron density above the lunar surface using plasma sounding.

The University of Central Florida and University of California, Berkeley, have joined with LASP to interpret measurements taken by DUSTER. The former will look at the dust ejecta generated during the Human Landing System (HLS, or lunar lander) liftoff from the Moon, while the latter will analyze upstream plasma conditions.

Lunar dust attaches to almost everything it comes into contact with, posing a risk to equipment and spacesuits. It can also obstruct solar panels, reducing their ability to generate electricity and cause thermal radiators to overheat. The dust can also endanger astronauts’ health if inhaled.

“We need to develop a complete picture of the dust and plasma environment at the lunar south pole and how it varies over time and location to ensure astronaut safety and the operation of exploration equipment,” said Xu Wang, senior researcher at LASP and principal investigator of DUSTER, in a University of Colorado statement. “By studying this environment, we gain crucial insights that will guide mitigation strategies and methods to enable long-term, sustained human exploration on the Moon.”

NASA astronauts will have their own droid when they go back to the Moon Read More »

google-is-reviving-wearable-gesture-controls,-but-only-for-the-pixel-watch-4

Google is reviving wearable gesture controls, but only for the Pixel Watch 4

Long ago, Google’s Android-powered wearables had hands-free navigation gestures. Those fell by the wayside as Google shredded its wearable strategy over and over, but gestures are back, baby. The Pixel Watch 4 is getting an update that adds several gestures, one of which is straight out of the Apple playbook.

When the update hits devices, the Pixel Watch 4 will gain a double pinch gesture like the Apple Watch has. By tapping your thumb and forefinger together, you can answer or end calls, pause timers, and more. The watch will also prompt you at times when you can use the tap gesture to control things.

In previous incarnations of Google-powered watches, a quick wrist turn gesture would scroll through lists. In the new gesture system, that motion dismisses what’s on the screen. For example, you can clear a notification from the screen or dismiss an incoming call. Pixel Watch 4 owners will also enjoy this one when the update arrives.

And what about the Pixel Watch 3? That device won’t get gesture support at this time. There’s no reason it shouldn’t get the same features as the latest wearable, though. The Pixel Watch 3 has a very similar Arm chip, and it has the same orientation sensors as the new watch. The Pixel Watch 4’s main innovation is a revamped case design that allows for repairability, which was not supported on the Pixel Watch 3 and earlier.

Google is reviving wearable gesture controls, but only for the Pixel Watch 4 Read More »

pompeii-construction-site-confirms-recipe-for-roman-concrete

Pompeii construction site confirms recipe for Roman concrete

Back in 2023, we reported on MIT scientists’ conclusion that the ancient Romans employed “hot mixing” with quicklime, among other strategies, to make their famous concrete, giving the material self-healing functionality. The only snag was that this didn’t match the recipe as described in historical texts. Now the same team is back with a fresh analysis of samples collected from a recently discovered site that confirms the Romans did indeed use hot mixing, according to a new paper published in the journal Nature Communications.

As we’ve reported previously, like today’s Portland cement (a basic ingredient of modern concrete), ancient Roman concrete was basically a mix of a semi-liquid mortar and aggregate. Portland cement is typically made by heating limestone and clay (as well as sandstone, ash, chalk, and iron) in a kiln. The resulting clinker is then ground into a fine powder with just a touch of added gypsum to achieve a smooth, flat surface. But the aggregate used to make Roman concrete was made up of fist-sized pieces of stone or bricks.

In his treatise De architectura (circa 30 CE), the Roman architect and engineer Vitruvius wrote about how to build concrete walls for funerary structures that could endure for a long time without falling into ruin. He recommended the walls be at least two feet thick, made of either “squared red stone or of brick or lava laid in courses.” The brick or volcanic rock aggregate should be bound with mortar composed of hydrated lime and porous fragments of glass and crystals from volcanic eruptions (known as volcanic tephra).

Admir Masic, an environmental engineer at MIT, has studied ancient Roman concrete for several years. For instance, in 2019, Masic helped pioneer a new set of tools for analyzing Roman concrete samples from Privernum at multiple length scales—notably, Raman spectroscopy for chemical profiling and multi-detector energy dispersive spectroscopy (EDS) for phase mapping the material. Masic was also a co-author of a 2021 study analyzing samples of the ancient concrete used to build a 2,000-year-old mausoleum along the Appian Way in Rome known as the Tomb of Caecilia Metella, a noblewoman who lived in the first century CE.

And in 2023, Masic’s group analyzed samples taken from the concrete walls of the Privernum, focusing on strange white mineral chunks known as “lime clasts,” which others had largely dismissed as resulting from subpar raw materials or poor mixing. Masic et al. concluded that was not the case. Rather, the Romans deliberately employed “hot mixing” with quicklime that gave the material self-healing functionality. When cracks begin to form in the concrete, they are more likely to move through the lime clasts. The clasts can then react with water, producing a solution saturated with calcium. That solution can either recrystallize as calcium carbonate to fill the cracks or react with the pozzolanic components to strengthen the composite material.

Pompeii construction site confirms recipe for Roman concrete Read More »

in-a-major-new-report,-scientists-build-rationale-for-sending-astronauts-to-mars

In a major new report, scientists build rationale for sending astronauts to Mars

The committee also looked at different types of campaigns to determine which would be most effective for completing the science objectives noted above. The campaign most likely to be successful, they found, was an initial human landing that lasts 30 days, followed by an uncrewed cargo delivery to facilitate a longer 300-day crewed mission on the surface of Mars. All of these missions would take place in a single exploration zone, about 100 km in diameter, that featured ancient lava flows and dust storms.

Science-driven exploration

Notably, the report also addresses the issue of planetary protection, a principle that aims to protect both celestial bodies (i.e., the surface of Mars) and visitors (i.e., astronauts) from biological contamination. This has been a thorny issue for human missions to Mars, as some scientists and environmentalists say humans should be barred from visiting a world that could contain extant life.

In recent years, NASA has been working with the International Committee on Space Research to design a plan in which human landings might occur in some areas of the planet, while other parts of Mars are left in “pristine” condition. The committee said this work should be prioritized to reach a resolution that will further the design of human missions to Mars.

“NASA should continue to collaborate on the evolution of planetary protection guidelines, with the goal of enabling human explorers to perform research in regions that could possibly support, or even harbor, life,” the report states.

If NASA is going to get serious about pressing policymakers and saying it is time to fund a human mission to Mars, the new report is important because it provides the justification for sending people—and not just robots—to the surface of Mars. It methodically goes through all the things that humans can and should do on Mars and lays out how NASA’s human spaceflight and science exploration programs can work together.

“The report says here are the top science priorities that can be accomplished by humans on the surface of Mars,” Elkins-Tanton said. “There are thousands of scientific measurements that could be taken, but we believe these are the highest priorities. We’ve been on Mars for 50 years. With humans there, we have a huge opportunity.”

In a major new report, scientists build rationale for sending astronauts to Mars Read More »

f1-in-abu-dhabi:-and-that’s-the-championship

F1 in Abu Dhabi: And that’s the championship

Going into the final race—worth 25 points for a win—Norris was on 408, Verstappen on 396, and Piastri on 392 points. A podium finish was all Norris needed to seal the championship. If Verstappen won and Norris came fourth or worse, the Dutch driver would claim his fifth championship. Piastri, for a long time the title leader, had the hardest task of all—nothing less than a win, and some misfortune for the other two, would do.

Lando Norris of McLaren during the first practice ahead of the Formula 1 Abu Dhabi Grand Prix at Yas Marina Circuit in Abu Dhabi, United Arab Emirates on December 5, 2025. (Photo by Jakub Porzycki/NurPhoto via Getty Images)

At times, the orange cars have made their life harder than it needed to be. Credit: Jakub Porzycki/NurPhoto via Getty Images

Qualifying went Verstappen’s way, with Norris a few hundredths of a second faster than Piasrtri for second and third. The Ferrari of Charles Leclerc and the Mercedes of George Russell could have complicated things by inserting themselves between our three protagonists but came up short.

The big day

Come race day, Verstappen made an OK start, defended his position, then got his head down and drove to the checkered flag. The Yas Marina circuit, which is reportedly the most expensive race track ever created, had some corners reprofiled in 2021 to improve the racing, so the kind of “slow your rival down and back them into the chasing pack” games that Lewis Hamilton tried to play with Nico Rosberg in 2016 no longer work.

Verstappen was pursued by Piastri, who saw a chance to pass Norris on lap 1 and took it. For his part, Norris let him go, then gave his team some cause for panic by letting Leclerc’s Ferrari close to within a second before showing more speed. An early pit stop meant Norris had to do some overtaking on track. Which he did decisively, a far cry from the more timid driver we saw at times earlier this year.

ABU DHABI, UNITED ARAB EMIRATES - DECEMBER 05: Max Verstappen of the Netherlands driving the (1) Oracle Red Bull Racing RB21 on track during practice ahead of the F1 Grand Prix of Abu Dhabi at Yas Marina Circuit on December 05, 2025 in Abu Dhabi, United Arab Emirates. (Photo by Clive Mason/Getty Images)

With eight wins this year, Verstappen has been in amazing form. Which makes Norris’ achievement even more impressive. Credit: Clive Mason/Getty Images

Verstappen’s teammate, Yuki Tsunoda, was in one of the cars he needed to pass. Promoted from the junior Racing Bulls squad after just two races this season, Tsunoda has had the typically torrid time of Red Bull’s second driver, and Abu Dhabi was to be his last race for the team after scoring less than a tenth as many points as Verstappen. Tsunoda tried to hold up Norris and ran him to the far edge of the track but gained a five-second penalty for swerving in the process.

F1 in Abu Dhabi: And that’s the championship Read More »

meta-offers-eu-users-ad-light-option-in-push-to-end-investigation

Meta offers EU users ad-light option in push to end investigation

“We acknowledge the European Commission’s statement,” said Meta. “Personalized ads are vital for Europe’s economy.”

The investigation took place under the EU’s landmark Digital Markets Act, which is designed to tackle the power of Big Tech giants and is among the bloc’s tech regulations that have drawn fierce pushback from the Trump administration.

The announcement comes only days after Brussels launched an antitrust investigation into Meta over its new policy on artificial intelligence providers’ access to WhatsApp—a case that underscores the commission’s readiness to use its powers to challenge Big Tech.

That upcoming European probe follows the launch of recent DMA investigations into Google’s parent company Alphabet over its ranking of news outlets in search results and Amazon and Microsoft over their cloud computing services.

Last week, the commission also fined Elon Musk’s X 120 million euros for breaking the bloc’s digital transparency rules. The X sanction led to heavy criticism from a wide range of US government officials, including US Secretary of State Marco Rubio who said the fine is “an attack on all American tech platforms and the American people by foreign governments.”

Andrew Puzder, the US ambassador to the EU, said the fine “is the result of EU regulatory over-reach” and said the Trump administration opposes “censorship and will challenge burdensome regulations that target US companies abroad.”

© 2025 The Financial Times Ltd. All rights reserved. Not to be redistributed, copied, or modified in any way.

Meta offers EU users ad-light option in push to end investigation Read More »

rare-set-of-varied-factors-triggered-black-death

Rare set of varied factors triggered Black Death

The culprit is a bacterium called Yersinia pestis, and it’s well known that it spreads among mammalian hosts via fleas, although it only rarely spills over to domestic animals and humans. The Black Death can be traced to a genetically distinct strain of Y. pestis that originated in the Tien Shan mountains west of what is now Kyrgyzstan, spreading along trade routes to Europe in the 1340s. However, according to the authors of this latest paper, there has been little attention focused on several likely contributing factors: climate, ecology, socioeconomic pressures, and the like.

The testimony of the tree rings

Taking tree samples from the Pyrenees

Taking tree samples from the Pyrenees. Credit: Ulf Büntgen

“This is something I’ve wanted to understand for a long time,” said co-author Ulf Büntgen of the University of Cambridge. “What were the drivers of the onset and transmission of the Black Death, and how unusual were they? Why did it happen at this exact time and place in European history? It’s such an interesting question, but it’s one no one can answer alone.”

Büntgen et al. collected core and disc samples from both living and relict trees at eight European sites to reconstruct summer temperatures for that time period. They then compared that data with estimates of sulphur injections into the atmosphere from volcanic eruptions, based on geochemical analyses of ice core samples collected from Antarctica and Greenland.

They studied a wide range of written sources across Eurasia—chronicles, treatises, historiography, and even a bit of poetry—looking for mention of atmospheric and optical phenomena linked to volcanic dust veils between 1345 and 1350 CE. They also looked for mentions of extreme weather events, economic conditions, and reports of dearth or famine across Eurasia during that time period. Information about the trans-Mediterranean grain trade was gleaned from administrative records and letters.

Rare set of varied factors triggered Black Death Read More »