Amazing stuff, and sooner than even I expected. China’s Kimi is now about equal to GPT and Claude:
For the first time, a Chinese model Kimi K3 has taken #1 on the Frontend Code Arena and is scoring at or near the frontier on other benchmarks.
And the majors are noticing:
there it is – microsoft will use kimi k3 to power their flagship copilot ai assistant saving up to 60% per token or $600M on every $1B spent on inference spend.
if microsoft chooses to self-host the model once Kimi open sources it on the 27th then this cost reduces even more… pic.twitter.com/BwrXXZvAim
— Ejaaz (@cryptopunk7213) July 20, 2026
Meanwhile Trump is talking about banning Chinese AI.
Alternatively, the smart lads at Open AI have a regulatory plan:
I would guess that the Trump Administration will at some point realize that their best strategy here would be to create large amounts of regulatory risk around the use of open-weight Chinese models. You don’t need to “ban open source” (one of the dumber motifs of AI policy discussion). You just need to direct every agency to issue soft law that creates FUD. “A Federal Reserve Advisory Bulletin found that there may be backdoors in Chinese AI models.” It needn’t be that well justified. You just create enough regulatory risk that every regulated enterprise backs off. You probably don’t want to create so much regulatory risk that you scare off the hyperscalers from serving Chinese models; this will just drive startups to sketchier providers. There’s a happy middle ground here. I’d assume they will do some version of this.
Even more fun, the Feds want to approve all AI releases and not allow everyone the full models.
The Trump administration has taken new steps to assert more control over the rollout of future artificial intelligence model releases by dictating which companies and entities are allowed access to the latest frontier models, two people familiar with the matter told CNBC…
….
This week, the administration launched its own program, dubbed “Gold Eagle,” aimed at collaborating with the private sector to find and fix cyber vulnerabilities.
The so-called clearinghouse would put the White House in charge of greenlighting which companies can access new AI models, according to a person familiar with the matter, who spoke on condition of anonymity in order to discuss information that is not public.
China is going to eat America’s lunch on this. If they ban Chinese AI (harder than it seems, given it’s open source) all that means is writing off the rest of the world. And since American models are handicapped, smaller American companies will be stuck with worse AI.
Since Chinese AI is far cheaper, as well, I’d expect American companies to set up subsidiaries overseas to use it, rather than be stuck with American AI.
The entire situation is a complete clusterfuck. Major companies have taken on serious debt in order to build data centers which have a lifecycle of five to seven years, and often less (since new generations of GPUs are much better.) But the Chinese product is cheaper, open source, lacks nearly as much sovereign risk and I’ll bet multiple models will soon be about as good as Anthropic and OpenAI’s.
Where’s the business case that spending all these trillions of dollars is going to produce enough revenue from US AI to pay for all of it?
There isn’t one. It doesn’t exist.
And that means that, at least in America, this is an AI bubble. All bubbles burst and this will not be an exception. If the government bails them out it will be the last major US bailout.
This is also very likely one of the last major tech revolutions which will start in the US (which it did.) Going forward they China will produce the vast majority of them.
This is the endgame. The turning point where China obtains not just the industrial base but the absolutely undisputed tech lead. From now on China will like America in the 1950s — it’s where almost everything new is created, the dynamic center of the world, and soon people will be competing to move there, because everyone knows it is the future.
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Purple Library Guy
All true, but there are some races that aren’t really worth running anyway.
different clue
Purple Library Guy said what I was going to say anyway. So China wins the race to flood the world with even more AI slop and AI sewage? Well . . . isn’t that special.
America will have to fall back on NHI. NHI? Natural Human Intelligence.
America may still be able to do simple task-focused machine-learning stuff. That could be good enough for actual practical uses. If not, oh well . . . .
Meanwhile, I am sure that China has won or will win the race to be 5G dominant. If America had self-government, 5G might well have been banned within America’s borders. Then we could spend the next 50 years watching to see whether marinating the entire Chinese population in a filthy electrosmog soup of 5G rays would have a measurable effect on population-scale public health or not.
cc
If even Microsoft was already going to provide DeepSeek to its CoPilot customers and is now considering Kimi, too, why couldn’t Canada also adopt these open-weight models? We could run these open-source models on our own systems located in Canada to benefit Canadians, possibly as a public service.
Doesn’t Canada now have its first-ever Minister of Artificial Intelligence and Digital Innovation, former CBC News personality Evan Solomon? What’s he doing to provide Canada with Canadian AI sovereignty?
In general, why are we locking ourselves into overdependence of the US, for example, via overpriced boondogle F-35’s, General Dynamics armoured combat vehicles for “and overseas use”, and US-based overpriced AI (OpenAI/Anthropic) that all have de facto kill-switches whenever the US wants Canada to bend over and submit? Isn’t “Elbows Up” just cheap posturing when we continue to send billions of dollars south to US corporations instead of seeking better, less expensive, and more diversified deals for Canadians?
Carney had just announced that another $2 billion in borrowed Canadian taxpayer money would go to US military company General Dynamics (again, “General Dynamics Land Systems Canada” is just a wholly-owned subsidiary of the US corporation which ultimately gets the profits. If Palantir started a “Palantir Canada” subsidiary, it would still be Palantir – don’t fall for the cheap “Canada-washing” trick.)
Barely a few days after that, the US announced that it will now impose 50% tariffs on many products that had been tariff-free under our “free trade” agreement (CUSMA) that had been negotiated and signed by Trump after he tore up the previous “free trade” agreement, NAFTA. As the world has seen time and time again, the US is non-agreement-capable.
Perhaps part of Canada’s response could be retaliatory 50% tariffs on US AI (ChatGPT, etc.) and offering Canadians open-weight models like DeepSeek/Kimi run on Canadian systems so that our prompts and data can stop going to foreign US servers run by US corporations and accessible to US 3-letter agencies.
cc
typo: “overdependence of the US” should be “overdependence on the US”
spud
what america must have, is not something stupid like the chips act, which as Keen says, “they can’t even make the lab coats used in making chips”.
the idiots that took over in 1993, and made rubbish out of the new deal/fair deal/ Gatt and the great society. have led us up to this point.
as chinese cars flood mexico and canada, it will not matter about the tariffs, the U.S.A. car makers are under the control of bill clintons hedge funds, in the end, they can never compete, the chinese stuff will make it into here, no matter what. the grey market will see to that.
you already see some of that with e-bikes, and now e-trikes.
to compete, you have to go back to ben franklins writings, and that is what lincoln did, and FDR-NIXON did, smoot hawley plus the new deals.
the bailouts will end us for sure.
Carborundum
Given the miles the man has logged and where he’s been since taking office, no I don’t think the “elbows up” is just cheap rhetoric. As I said in the other thread, the determinant isn’t where the profits go; it’s the fraction of the value chain captured in Canada. The deal with General Dynamics will be better in this regard than the deal with ThyssenKrupp by a large, large margin.
Carborundum
More directly related to the topic of AI, I have a feeling that we’re barking up the wrong tree in discussions of who’s “winning” AI. The pace and magnitude of improvements we’ve seen to date makes me think we’re quite quickly going to get to a place where there isn’t a lot of difference between the various models (i.e., they’ll all trend towards very similar performance per unit cost).
I strongly suspect that “winning” here means figuring out how to use AI with maximum effectiveness and minimum collateral (i.e., it’s going to be more cultural than anything). Folks using it as a brain substitute are ultimately going to do poorly – folks using it as a “bicycle for your mind” to borrow Jobs’ old quote, will do much better.
DMC
I seem to recall from reading of Kropotkin’s “French Revolution” that the specific impetus of the Revolution was not so much Royal incompetence or Aristocratic oppression, though they both played a part, as “speculation” specifically in grain futures in a time of crop failures. You don’t have to be Barbara Tuchman to see what’s coming. Knock out too many supports and the whole system goes.
mago
I’m of the school that says screw the giant energy sucking toxic search engine called AI and the horse it rode in on. Nobody wins the race and everyone loses. There’s disagreement and mileage varies. It’s up to you, whatcha gonna do when the lights go out?
ProNewerDeal
what is the US law on FOSS (free & open source software)? Could the US Fed Gov (USG) ban FOSS software like these Chinese AI softwares? Could the USG prohibit a US company from owning or cloud-renting a data center outside of the US that running Chinese OS? Could an American vendor slightly tweak a Chinese FOSS, and rename it as its “own” FOSS with a “Made in Murica” label? Does the USG have the “state capacity” if it wanted to & had a competent leaders to audit what software & data centers US companies are running/using globally?
Dan Kelly
‘America may still be able to do simple task-focused machine-learning stuff. That could be good enough for actual practical uses. If not, oh well . . . .’
Indeed.
The button that starts mall bitches also stops mall bitches.
It’s not rocket science.
We’ll be okay.
Ozzfest will continue…
https://www.youtube.com/watch?v=lllrpcd8vbk
In all seriousness, there a lot of human beings from India in the US occupying all strata of lower middle to extraordinarily wealthy and everything in-between.
Ditto vast amounts of ‘Asian’ peoples from various nation-states around the world – including China!!!
They’re all here and don’t seem to mind participating in the freedumb thing.
Is there an Asian equivalent of Rod Stewart’s ‘slit-eyed lady’ which – despite the ‘hateful’ lyric – is nevertheless a song about a fiercely individualist westerner being saved by a woman from the east:
‘I firmly believed that I
Didn’t need anyone but me
I sincerely thought I was so complete
Look how wrong you can be
The women I’ve known I wouldn’t let tie my shoes
They wouldn’t give you the time of day
But the slit-eyed lady knocked me off my feet
God, I was so glad I found her!’
Not to go all marxist and what-not but this seems to be more of a class issue because as Charlie Daniels sang in ‘Long Haired Country Boy:
‘A poor girl wants to marry
And a rich girl wants to flirt
A rich man goes to college
And a poor man goes to work
A drunkard wants another drink of wine
And a politician wants your vote
I don’t want much of nothin’ at all
But I will take another toke’
But years later Mother Love Bone said of Chloe that ‘she’s always been given…so I can’t always make her laugh…’
And John Couga Mellencamp needed a lover who wouldn’t drive him crazy…some woman who knows the meaning of ‘hey, hit the highway!’
Cyndi -with an i – Lauper wailed ‘Girls Just Wanna Have Fun!!!’ back in 1983 and I’ve ben confused ever since.
When The Guess Who wrote ‘American Woman’ wasn’t Canada itself pretty much knee-deep in the war machine?
‘I don’t need your war machines, I don’t need your ghetto scenes’
They sure are now anyway.
Canada shares NORAD and they are totally onboard with Artemis while having nothing at all to do with CLEP.
And
‘Coloured lights can hypnotize, sparkle someone else’s eyes’
could certainly apply to modern China, no?!
—
‘Canada shares NORAD and they are toatally onboard with Artemis while having nothing at all to do with CLEP.’
Haig Hovanes – NC’s resident military-intel specialist – HH wrote an article on Starlink today in which he sort of reverses the ‘Chomskian’ notion that everything begins with the military machine and the commercial stuff comes out of that.
I think the ‘deep state’ establishment Zionist whisperer-in-the-intererst-of-power Chomsky’s structural thesis is more accurate so I believe that looking at things through that lens presents a more accurate picture…
…i.e. Starlink was always first and formeost military-intel and the commercial aspects are both a profitable ‘side endeavor’ to the real action as well as a ‘retail selling point’ to further entrench the military-intel surveillance aspects which were always at the forefront anyway and were better hidden by using this ’roundabout’ method…which also serves to distract the masses from the real business of war and power.
https://www.nakedcapitalism.com/2026/07/coffee-break-armed-madhouse-the-two-faces-of-starlink.html
So, returning to Starlink as an entrenched military-intel-power dynamic first and foremeost, I believe it makes sense to look at who and who isn’t on board with Artemis versus China’s CLEP – which is also substantively military-intel on the Chinese side.
It also interesting to note who is involved on some level with both.
Thailand is one country that is involved with both Artemis and CLEP.
It is also interesting to note – once again – that China does a large amount of business with the genocidal state including even of the military variety – this despite the genocidal state being totally on the Artemis side of the intel spy ledger.
China still provides ‘dual-use’ tech despite recent slowdowns and China essentially keeps the genocidal state ‘in business’ via the massive volume of consumer and other crap they supply to ocupied Palestine.
Allegedly back in 2000 the US asked the genociders to stop the advanced military-intel tech they were providing China but who knows what ‘Israel’ does with whom.
A practice (state secrecy) not unique to them of course.
Don’t forget to turn off your television, err, computer, err phone transponder…
Good night.
https://www.youtube.com/watch?v=3oEquZwvG0k
mago
Dan Kelly your sensibilities are appreciated.
Sweet dreams in the summertime. . .
Dan Kelly
‘So, returning to Starlink as an entrenched military-intel-power dynamic first and foremeost, I believe it makes sense to look at who and who isn’t on board with Artemis versus China’s CLEP – which is also substantively military-intel on the Chinese side..’
It’s more accurate to say SpaceX here – it being the base and the structure ‘holding’ it all together.
Musk himself said SpaceX wouldn’t exist without NASA and it was both built by govt contract and bailed out by the govt to keep it afloat.
This would also probably be a better illustration than Jack Ma vs Rick Scott which sort of falls underneath this hierarchical apex which sets the gold standard of ‘corporate facism.’
Dan Kelly
The whole point is that the space-moon stuff is first and foremost military-intel on both sides even though it isn’t presented as such to either side’s 市井小民 or even its professional classes who, as Chomsky correctly advised, must be the most propagandized of all.
vmsmith
Well, first of all, it’s not as if China has come up with some breakthrough leap in technology, such as creating a world model, and is now leaving everyone else in the dust.
Second, what does it even mean to “win” or “lose” the AI race? What’s the finish line?
To me, the situation is more akin to open source Linux vs proprietary Microsoft and Apple operating systems. Linux did, indeed, capture a large share of the overall market, but one can hardly say Linux “won” the operating system race. The race simply evolved.
No, to the extent that this is a race that has a winner and loser (and I don’t think it does), it’s far from over.
Like & Subscribe
Folks using it as a brain substitute are ultimately going to do poorly – folks using it as a “bicycle for your mind” to borrow Jobs’ old quote, will do much better.
How about the folks who never use it at all?
So far it has been invaluable for YouTube and TikTok content creators in the creation of clickbait thumbnails. They’re hooked and life would not be worth living for them if that was ever taken away.
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You don’t have to be Barbara Tuchman to see what’s coming. Knock out too many supports and the whole system goes.
Unless you are Russia, according to the russophiles. For them, the russophiles I mean, knocking out Russian supports is merely a pin prick to the permanent impenetrable imperial empire and hardly noticeable.
sbt42
I guess all that money saved when DOGE was bringing down the hammer can now be put to good use with this all new, all different “Gold Eagle.”
Which of the bright stars left in the USA’s sky would be fit to manage such an agency? Let’s hope they don’t have to redact info from any PDFs.
/sarcasm
Gabriel
Nikhil Suresh’s latest post has some remarkable examples about an especially toxic interaction between AI and “Western” corporate, disciplinary managerialism. (The determination not to allow worker input to impede C-suite EO strategies itself should be added as a chronic weakness in these companies’ ability to innovate.)
‘These [AI] mandates have led to extremely strange places. Several of my peers now “AI-wash” their work, meaning that even when they can perfectly competently execute on their jobs to the satisfaction of their management teams, said managers are unhappy if the engineers haven’t used AI in the work… so now they’re lying about using LLMs even in contexts where their professional judgement is that they aren’t the appropriate tool. They just do the work, the same way they have for decades, and say Claude did it. Others are being measured on their AI bills with “token leaderboards”, where higher is better because I have evidently fallen into the pocket of Hell where the demons torment me by doing elaborate impressions of absolute fucking morons, so the people hired for their freakish ability to perform system optimisation do the obvious thing. They set the LLMs prompting themselves in a semi-plausible loop in case someone inspects the token consumption and then they watch Netflix. Not a single one has been caught, even when their own assessment of the output is that it isn’t suitable for deployment.
Checking out a parallel copy of our Go repository and telling the AI to rewrite the whole thing in Zig while I work on something else just so I can keep my job. I hate this shit so much. My job has usage tracking and quotas. I don’t use it for actual work, I just spin it up and disregard the output.
– An actual software engineer
In fact, the only people I know of to be fired over this whole thing are people that have expressed visible doubt about this organisational strategy, which again, even Ptacek thinks is transparently dumb. The net result is that everyone has learned very quickly to praise executives on their visionary AI prowess, or they will be gunned down in the proverbial streets. ‘
bruce wilder
I met a Union business rep at happy hour recently. Electricians or plumbers? I don’t remember. There were a lot of them attending a training convention nearby. He just knew his members were not being replaced and the spending on new construction was keeping his members employed with nothing else much happening.
The spending is driving the American economy I think. A floodtide of central bank provided liquidity has driven speculative debt and equity to fund this spending. I don’t understand what these data centers are supposed to accomplish, what work they are doing, what they are making.
Ian points out that the physical chips these data centers contain last only 5-7 years. Is that projecting exhaustion, burnout or obsolescence? Again, I don’t quite grasp exactly what the production task is exactly. What’s the product? Barrels of “intelligence”? Are the data centers “scaling” the “training” and design of the models? What do those words even mean?
Like what’s the “scale” measured against? The sum total of human knowledge is “large” I suppose measured in some units across various dimensions, but much of it is of questionable epistemic quality. Are they training AI agents as theologians to explain transsubstantiation or the concept of the revealed Trinity? To listen to the confessions of penitents? If AI bots serve as psychotherapists, that is not so far-fetched, is it?
What I can imagine — and my imagination is ill-informed — is that artificial intelligence will find its applications locally, allowing an automobile to drive itself or a robot to perform a complex task, with some local endowment of compute and memory.
I see Microsoft helpfully renting a search service as a very expensive substitute for me pawing thru Wikipedia and Reddit, filtering the b.s. as best I can. Is that what the data centers are for? That doesn’t make much sense. Huge as it may be, Wikipedia is not THAT huge: English Wikipedia without media is about 25 GB. But, don’t Youtube and various streaming services already host the vast trove of video? The NSA saves surveillance data in its own data centers of huge scale, but nothing like the multiple under construction.
My instinct says it is more economic at some point to clean out the trash than to go on hoarding noise and calling it data.
In academic economics, depletion and congestion and “arms races” are sadly neglected topics. One frightening hypothesis is that “scaling AI” is just a self-defeating “arms race” being pursued as an extraction engine. AI is rented out to generate slop (e.g. YouTube history channels using Wikipedia articles as scripts for a voice-over married to AI-generated video) which creates demand for YouTube services and Search filters against the low-quality noise, filters that deliberately don’t filter all that effectively. It is all closely akin to the way financial markets are turned into volatility machines to skim income and ownership claims from pension funds and punters.
I keep coming back to not knowing what the data center buildout is doing. The spend is making a lot of money for some, regardless of what is being built. The equity and debt funding the build may have no expectation of owning anything worth owning in the end. That comparable Chinese “products” are coming in at an order of magnitude “price” seems like an indication that the assets being created by the funding won’t be worth much. It seems like there’s more to this “smoke and mirrors” show.
Oakchair
managers are unhappy if the engineers haven’t used AI
(workers) just do the work, the same way they have for decades, and say Claude did it.
——-
That is the result for workers who grew up without AI. Their formative years contained little to no social media, and smartphone use. They had less heavy metals injected and depositing into their brains, less plastic in their blood, less forever chemicals and pharmaceuticals pumping into them. Spent more time outside instead of in front of a TV.
Now imagine how the younger generations and the ones who are children right now will cope and deal with all this.
—-
I see Microsoft helpfully renting a search service as a very expensive substitute for me pawing thru Wikipedia and Reddit, filtering the b.s. as best I can.
——
Don’t worry Wikipedia and Reddit can be made to be shittier and filled with more bullshit. The AI service will start out subsidized so Reddit and Wikipedia will have to include more ads making them even shittier.
10 years from no we’ll be pining for the good old days when reddit and Wikipedia were only semi-shitty instead of pure trash.
——
not knowing what the data center buildout is doing.
—-
Some of it is the same as spending on the military, Hollywood films and real estate. Laundering money.
different clue
@Gabriel,
I hope the engineers you describe are living as poverty as possible to put all their money into semi-rural or at least suburban subsistence/survival doomsteads. If they are doing that, they can learn to “love” their jobs as a source of money which allows them to save themselves when the house of iron cards falls down.
different clue
I remember reading once where Peter Matthiessen wrote a little passage about vultures eating poisoned bait who, upon sensing something was wrong, tried flying as high as possible to outfly the wrong thing . . . a sense of impending death . . . till they died and fell back to earth.
Perhaps thats what the companies doing these datacenter buildouts are doing. Also, maybe trying to outrun eachother so as not to be the one or ones the bear catches.
People living in organizable regionalocal communities should try to see if there is a critical tipping point massload of like-minded people where they live. If there is, they can try organizing to force their regionalocal communities to air-gap themselves as much as possible from the larger politiconomic social system, so as to outlive the next engineered and triggered-on-purpose Mellonite Crash to come.
If you have only a few such people around you, perhaps you and those people could at least form a ” Mormon Survival Stake” known only to yourselves and eachother. You don’t have to be Mormon to set up a Stake.
Muh feelz like that the Republicanfederates and the Rich People are trying to keep the crash from landing until they find out who gets majority-elected into various offices. If the Dems get part of Congress and the Presidency in 2028, then the Mellonites will stop forcibly levitating the overhead cinder blocks and then they will pull the pin and all the keystones.
StewartM
DC
America will have to fall back on NHI. NHI? Natural Human Intelligence.
The problem with that is twofold:
a) our elites are too stupid themselves to recognize NHI when they see it; they spent their time in school “networking”, not hitting the books;
b) The olds still with NHI are well, old, and the youngs are having their NHI (badly) trained by…AI.
Any fix could only come after our entire corrupt, stupid, and evil leadership class is gotten rid of.
different clue
@StewartM,
Perhaps NIH-capable people should form up into part-time “virtual monasteries” in the spirit of the Irish Monks who kept many manuscripts and much info-knowledge preserved through the several centuries of Viking Raids and Conquest. There are sure to be some nerdy kids who find NIH to be nerdneat and nerdcool, and will work to learn it and apply it, perhaps within the context of these part-time ” virtual monasteries”,
Amish kids will certainly grow up with fully functional NHI and maybe Mennonite and Hutterite kids as well.
Maybe the Boy Scouts will still offer Merit Badges in various forms of Doing It The Hard Way. There too might emerge some centers of NHI preservation.
different clue
Here is an article that Ran Prieur led me to, about AI companies buying millions of copies of pre-2022 books to train their AIs on, because books from 2022 and before contain no AI slop which would train the AI models on how to generate more slop and slopslop and slopslopslop.
Of course the AI companies physically destroy every one of those millions of books they have bought after they have scanned its pages into their systems. Is that inherent to the technology of the scanning process? Or is it malicious glee at destroying those physical books to make sure that no one else can ever own them or even see them ever again?
Here is the article.
AI Companies Are Buying Tons of Old Books Because They’re Free of AI Slop
Emanuel Maiberg
Emanuel Maiberg
·
Jul 21, 2026 at 9:51 AM
ISBNdb, a company that sources printed books for AI companies to turn into training data, tells clients “the optics problem is real.”
https://archive.ph/9MQrK#selection-527.7-561.133
StewartM
DC
More on our leadership class:
I have two Asian-American friends, now professionals, who spent their summers working in Washington DC. There they stayed in nearby universities with Congressional pages.
The story I got from both, more than a decade apart:
a) The cost of the dorm alone was more than what the pages received as salary. I.e., they weren’t doing it for the money, they apparently didn’t need the money (rich families, probably) but for the “networking”
b) They would spent all evening out drinking and carousing and then come back and barf in the dorm bathrooms at 3 am. Sometimes my friends were afraid they would die from acute alcohol poisoning.
I told them: “You are seeing your future CEOs and your future political leadership.” Both my friends were smart as whips, true to the Asian kid stereotype, they focused on their studies, and knew their stuff. “But you will never rise higher than middle-echelon” of any government or corporate hierarchy.
Now think of what Elon Musk did with DOGE. It’s straight from the Jack Welch corporate playbook, gut your organization of the smart people (like my two friends) at the lower levels and leave the idiots at the top untouched. It’s why you can’t get around this problem as long as this leadership is in-charge.
I also saw a glimpse of the old corporate leadership when I hired in to my Fortune 500 company back in the 1980s. My group leader saw me doing some work in a lab, and came over to give me tips; you see, he had hired in with a high school diploma, working as an ordinary worker, went to college at nights and got a degree, and then was promoted to the technical ladder before finally becoming a manager. That way, ‘start at the bottom and work your way up to the top’ not only allows for more social mobility, which we had back then, but it also results in BETTER LEADERSHIP as the management has done the grunt work and the technical work before.
Jorge
This is very good- it’s about how China didn’t just get to steal everything. The Volkswagen story is hilarious.
https://www.eastisread.com/p/feng-kaidong-the-myth-of-chinas-easy
different clue
Here is a video by a professor who figured out how to catch his students cheating with AI on a midterm.
32/35 students failed this professor’s midterm using AI because he secretly hid some white font in his text.
https://www.reddit.com/r/Amazing/comments/1v4iler/3235_students_failed_this_professors_midterm/
NHI on this professor’s part.
rw95
Nothing ever happens.