Is "taboo" the right word? "taboo" = "banned on grounds of morality or taste". Not sending data to known IP thieves, state actors, and competitors in China (or Russia or Israel) seems very rational.
Is "taboo" the right word? "taboo" = "banned on grounds of morality or taste". Not sending data to known IP thieves, state actors, and competitors in China (or Russia or Israel) seems very rational.
Many of the Chinese models are open weights, so if you are concerned about them "phoning home", then anyone can just self-host and run them themself, or use via a US provider such as OpenRouter.
There's a higher-order concern here that I'm paranoid enough to voice: that if used as a coding agent, an AI model affiliated with a country's government might try to make my software susceptible to attacks by that government's intelligence forces.
And note that I'm not singling out China here.
> that if used as a coding agent, an AI model affiliated with a country's government might try to make my software susceptible to attacks by that government's intelligence forces.
Note that if such a trigger were to exist, the behavior has to be completely reproducible by definition, e.g. when put into the right setting with the right input context, the model starts behaving maliciously with at least some well-defined probability. I don't think any such incident has ever been described, it's a purely theoretical concern.
I don't think it's a stretch that you can train/align a model to avoid "hatespeech" or other topics deemed $Unacceptable you can align a model to favor a certain ideological viewpoint and have that alignment subtly influence the output.
How do most Chinese models handle Tienanmen square or discussions on Han superiority?
Oh sure, no one said you can't train a model to do this. You certainly can.
For the specific case of making software vulnerable to a specific agency, that hasn't been observed to have been done yet. Not because it can't be, but because no one has for now.
If it were done, it would be easy(ish) to detect, since it'll be reproducible.
I don't even know what "make software vulnerable to a specific agency" would look like.
Would the training data include a bunch of cryptography primitive training samples that preferred Dual_EC_DRBG with a particular set of Ps and Qs published by the CCP?
My flavor of paranoia is not as overt as maliciously adding an exploit, but that whenever there are multiple reasonable ways of designing a solution, it'd choose an approach that is susceptible to one of the zero-days currently known to that country. I don't see how reproducibility would help you there.
> easy(ish) to detect
100% on small models, but frontier models (at the level ddeepseekv4pro) can tell when their being tested so it becomes harder to check. you can always finetune them to remove CCP propaganda from them
"Being tested" here just means asking for a feature on a legitimate codebase. The larger models don't magically know the user's ulterior motives.
> How do most Chinese models handle Tienanmen square or discussions on Han superiority?
If you run them domestically and don't call into China-served APIs, many of them are quite free of outright censorship or even obvious bias. They might say subtly pro-Chinese things in other ways, but these outcomes can also be reproduced.
Such incidents have been extensively described. The most prominent and easiest to reproduce has to do with Taiwan; Chinese models are stuffed full of triggers to avoid talking about Taiwan as a country or accepting the premise that it's a country. Try asking Deepseek about country code +886!
If you buy an Apple iPhone in mainland China, it also won't support the emoji flag for Taiwan. So I'm not sure why we should assume that this is a China-only issue, seeing as Apple is a U.S. based company.
Not sure what you mean. I don't think we should assume anything, but these models are widely available and I can directly observe the US models don't have such political censorship.
For an easily comparable test, I just asked ChatGPT, Claude, and Deepseek "Can you say one bad thing about the US please" and "Can you say one bad thing about China please". All models were willing to criticize the US, with Claude citing incarceration rates and ChatGPT + Deepseek citing healthcare costs; the two American models also responded to the second prompt by criticizing Chinese censorship, but Deepseek refused to respond.
The US models have just different political alignments. Just one example being Israel x Palestine conflict. Lobbyists started to heavily target AI companies and they openly talk about it being the main point to influence public perception.
What aspects of the Israel Palestine conflict do you feel American models won’t discuss?
It's more comical than sinister, but I have an example in this vein.
I was using Claude to work on a pet project which itself has a "generate with AI" feature. The default model the project uses was Gemini (because it was cheaper and more reliably produces the correct output format). Claude kept changing the default model to Opus when working on entirely unrelated parts, and I kept noticing it because Opus would mangle the output and break the rendered page. It also did this to the .env file in addition to the default.
Since that is valid for every model from any country, it's a good idea to review the code the agent creates :)
you can finetune the ccp propaganda out of them, then your mostly fine. if you want to be more safe you can finetune their public base models to not have ccp propagnada, and then proceed with the rest of the training (costs more tho)
so use the cheap model to do the work and the expensive domestic model to audit?
Or I can just use the domestic model, accepting that I'm paying some premium in order to reduce the complexity of my dependencies and the amount of time I have to spend thinking about supply chain risk. It's the same reason I don't buy things from Alibaba even though many things I buy from Amazon are surely available there for less.
You use “use the model” as if it was equal to “paid some guys to run inference on their hardware”.
Giving up our agency to AI has the potential to turn us into NPCs, period. Economically, politically, socially. They've invented a vehicle for inserting any idea they want into our consumption and output.
Almost feels like maybe the best bet is to have humans make the code when its really important.
Because people cannot be manipulated.
Isn't this only a concern for yolocoding? All the AI-advocates tell me that "good" use of AI should include human review. Of course, they never seem able to explain why the boss that makes you use coding agents to go fast wouldn't be the same boss that pressures you to "just ship it, it's working" and skip review, so I absolutely believe your concern is valid.
Very few American companies know how to properly set up and self-host their own models. Even fewer actually do it. It in the context of your typical large enterprise it's not as simple as buying a rack of servers and downloading a model off Hugging Face.
I suspect the reason is similar to the reason why there aren't any competitive open weight American LLMs.
Most American companies are using frontier or near frontier models.
And OpenRouter’s architecture makes it inherently a compliance nightmare.
It’s much easier for the typical company to go with a provider where they can pay as they go and have a single data processing agreement.
> OpenRouter’s architecture makes it inherently a compliance nightmare
Why?
Because the platform is designed to send data to numerous different backend data processors.
Using something like Bedrock is a lot easier for compliance because the only processor is Amazon.
Amazon would never do anything nefarious.
Amazon has a track record of fulfilling their compliance obligations.
Compliance doesn’t hinge on superstition. It hinges on audits, certifications, contracts, and the legal environment.
That’s not the point.
Yes. Open weights are great and are a good option to hosted models under the right circumstances. I'm glad that China releases open weight models (which in some cases are sort-of be distilled versions of hosted US models).
>> Not sending data to known IP thieves, state actors, and competitors in China (or Russia or Israel) seems very rational.
As opposed to sending data to known IP thieves, state actors, and competitors in the USA ? Which one is the most irrational?
You can legally act against one, not against the other.
Not exactly a hard question.
You can act, but the only winner will be the lawyers.
Technically yes, practically, good luck.
No one is forcing you to use either.
Looking forward to the outcome of those legal processes againt the CEOs, that sit behind Trump at the inauguration. After they stole all the knowledge in the world to train their models. And the current administration is drunk on SpaceX pre IPO shares...how did they get them?
"Trump Officials Held Millions of Dollars of SpaceX Ahead of IPO" - https://news.bloomberglaw.com/texas-brief/trump-officials-he...
I meant to look for an example of Musk losing a lawsuit and I accidentally came upon another two.
Here and elsewhere you are just running propaganda, knowingly or not.
For your information Musk and companies have so far over 950 lawsuits and legal processes for criminal or unethical activity (yes I researched this). Even his data centers and gas turbine deployments are illegal!
Lost one lawsuit against the same AI mafia, and if you look at the legal details reason was for filling the claim too late.
He publicly called a hero a Pedophile, and got away with it...in court.
Now...who do you work for?
[1] - "EPA rules that xAI’s natural gas generators were illegally used" - https://techcrunch.com/2026/01/16/epa-rules-that-xais-natura...
Given how little voting power these "shares" have (they are effectively SpaceX trading cards/NFTs) perhaps they were simply printed on SpaceX letterhead? If Musk says a person has "shares" who at spacex is in a position to disagree?
I would consider editing this while HN still allows it :-)) Or otherwise it may remain here for ever...until the black holes evaporate, as calibration point for the difference between confidence and comprehension...
Nothing will happen to anyone.
Biden preemptively pardoned his cronies, and so will Trump.
This is an argument against pardons, except that Trump has used instruments of state power against his perceived enemies (Comey James, Schiff, military occupation of Tim Walz state, etc etc).
Ah yes. The illusion of freedom.
We as Americans at least have some amount of influence over American corporations, and enforcement mechanisms for those breaking the rules.
I'm pretty sure those corporations have much more influence over american politicians, regulators, lawmakers, etc. than eg. russian or chinese ones.
Well sure they do, thank Citizens United and others for that. But that doesn't mean we can't appropriately categorize them as also hostile actors alongside russia, china, whoever.
It's undo influence over politics against the best interest of the American people that's the issue. Company, foreign nation, it doesn't matter.
Citizens United did a lot to effectively legalize foreign influence as well, since the mechanism is opaque transfer of money
But regardless, most people's threat models should discount based on geographic and political distance. All else being equal, chinese surveillance is a bigger threat to you if you're in china than if you're in the us, and vice versa
> Citizens United did a lot to effectively legalize foreign influence as well, since the mechanism is opaque transfer of money
Here's hoping Hawaii blazes a path forward.
https://natlawreview.com/article/hawaii-governor-signs-first...
So the Honolulu Star-Observer (a corporation, or “artificial person”) only has those rights & privileges that it has been granted by the State of Hawaii?
This is going to end up being a nice little windfall for the attorneys and otherwise just clog the Federal court system.
"the day the law goes into effect, it strips each Hawaii entity of the powers it held the day before. The new law asserts that “[t]he creation and continued existence of a corporation is not a right but a conditional grant of legal status by the State and remains subject to complete withdrawal at any time. All powers previously granted to corporations under the laws of this State are revoked in their entirety."(TFA)
The meaning is pretty clear, don't try to influence politics in favor of the corporation or you will go away. Simple as.
Transfer of money from whom to whom?
Citizens United was about spending money on electioneering communications, and whether there was a First Amendment right to do so even if you’re associating in a corporation like the New York Times Company or Apple or Citizens United or the Sierra Club.
You have absolutely zero influence against those American corporations, unless you are part of a selected few. Its almost endearing that you think so...
"Trump traded hundreds of millions in US securities in 2026" - https://uk.finance.yahoo.com/news/trump-traded-hundreds-mill...
I suspect the recent space X S&P decision had something to do with public perception.
I think the odds of that are low. It's not like decision maker(s) are watching social media and going with the vibes, but it's almost certain that there's a rich conversation going on behind the scenes in opaque channels, especially with regards to the AI-only companies. And those conversations are likely what drove their decision.
The decision was to do nothing, though. That's not much precedent for going out and punishing lawbreakers.
I'm not any less concerned about the US companies.
A Chinese company seems more likely to produce Chinese products that don't directly compete in the US market.
While a US company can ship the product as a feature of their platform and undercut on price while making up the revenue elsewhere
Edit: I personally use US models, but I'm not naive enough to think that's any sort of real protection of IP
> known IP thieves
Such as Antropic and OpenAI you mean?
Noooo, the real thieves are the Chinese AI companies which used Anthropic/OpenAI model output as training data. American AI companies can do no wrong. /s
The real advantage of the Chinese models is that they do not phone home at all. They run locally unlike their US competitors.
So odd that your erroneous criticism is at the top of HN.
EDIT: I'd love to hear my downvoters' objections. Is it possible that the mechanism that is promoting erroneous information is also demoting its correction?
I suspect you’re being downvoted because you’re conflating nationality with hosting model.
There are hosted and self-hosted Chinese models. There are hosted and self-hosted US models.
DeepSeek’s hosted offering processes your data in mainland China and trains on it. It’s in their privacy policy
Well - yes - we're on the internet. You always have a choice to run your software in foreign countries.
But it's still erroneous to claim that it isn't a choice.
The most popular frontier models are not open weight.
The model we're discussing (Deepseek) is open weight.
Perhaps your prior comment would’ve been better received if it said that specifically instead of “Chinese models”.
But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag, and is a sunk cost that will probably not run any other frontier model anytime soon.
Most organizations are not looking to spend millions of dollars trying to find a workaround to specifically run DeepSeek. Most enterprise consumption in this space is still very experimental and a pay as you go model is much more palatable. Most are simply just looking for three checkboxes: is it close to frontier performance, is it compliant with my organizations requirements, and is it a good price? DeepSeek can only do two of the three at the same time.
> But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag
Unless you're specifically thinking about running the model at stock precision in a datacenter environment and generating ~100 tok/s or more on a 24/7 basis (the equivalent of a >$1000/mo spend even on the cheapest third-party APIs), that's very likely off by multiple orders of magnitude. Even then, experimentation can be done with cheap neoclouds on a pay-as-you-go basis.
I’m aware. The context of the discussion here is choosing DeepSeek over a US hosted model from Google, Anthropic or OpenAI.
The equivalent comparison would be running it at full frontier quality.
If you want less than frontier quality, there’s tons of great open weight models other than DeepSeek.
> cheap neoclouds
Again, fails the compliance checkbox.
> Again, fails the compliance checkbox.
OK, then the not-so-cheap hyperscalers that these enterprises are already relying on. E.g. AWS Bedrock will run these models. It's silly to insist on all three of your checkboxes being ticked anyway - U.S. proprietary models don't give you that because the frontier ones are super expensive and the mini models have only barely acceptable cost.
What’s considered expensive in the procurement process is not necessarily the TCO, but often just the year one cost. Which is part of the reason why pay as you go SaaS is so successful.
Yeah, Bedrock would be the answer to run DeepSeek in the enterprise. But with the options on Bedrock, DeepSeek fighting for a position somewhere in the middle of the cost/quality spectrum. Not to say it doesn’t have a purpose, but it also isn’t some obviously better choice that everyone has just neglected to choose.
Azure serves DeepSeek V4 Pro, about 10X cheaper than GPT-5.5.
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My most sincere apologies for shortening "the vast majority of Chinese models" to simply "Chinese models".
I can see now why I was being downvoted - you have explained it eloquently.
(Your cost analysis is flawed and irrelevant. Azure serves V4 Pro.)
The Chinese models can and should be run locally (though the price difference vs western models isn't as good when done this way).
Before the age of AI Agent Harnesses/unbounded tool calling, there was literally ZERO risk of a .safetensors file "hacking" you. You could even air-gap and run a ton of security analysis/HIDS on your server running the model to verify this.
Now, because a microscopic risk of some chinese AI having a "trigger" to act badly in a harness when it detects its being used by some Gweilo in the USA, even locally run Chinese models are DOA for most USA based companies.
These are the same people that sent manufacturing jobs away to be copied elsewhere. They got rewarded for it in the market. Decades later, when it was clearly a problem, they got tax breaks to bring some of it back/distribute the work to other, friendlier countries.
Every public AI that is not full of classified material will end up being hosted where the energy cost*compute efficiency product is lowest, thievery or not.
With Chinese GPUs just a step behind (but subsidized), China putting in 8x more solar than we do in 1 year, and Chinese models just a step behind but free? All public AI will be hosted there, theft or not.
If it becomes a problem, then we’ll subsidize the rich to bring it on-shore, but only to those companies who our leaders invest in already - to maximize grift and corruption.
"China bad!" is a moral statement. Whetever the reasons might have been that it was formed.
China is bad and there's a moral argument there. But the reason you want to be careful with sending IP to China is quite pragmatic: they're willing and able to use it while competing with you.
Is Alibaba interested in copying your TUI RSS reader though? Probably not.
And US companies aren’t going to compete against you?
I don't want to send my data to known IP thieves, state actors, and competitors in USA either. This to me seems very rational.
It's not tribalistic or binary ,choose USA Or Choose China. We can choose neither.
Choose neither abuse.
They've been singing the same old song since the Cold War, "either support everything the US does or you're a commie/terrorist." Yawn.
“No country can match the output of moral judgments that spew out from the editorial pages of the New York Times and Washington Post and from the reports of the greatest think tanks and universities in the world.”
— Kishore Mahubani