Probably not. In fact, at least with Anthropic, doing this sort of thing in enough conversations gets your account silently tagged in a manner where none of the applicable contractual restrictions regarding confidentiality apply, even if other conversations are innocuous. This is assuming ZDR is not enabled. You can see evidence of that in Anthropic's "Detecting and countering misuse of AI: September 2026" report. Once enough conversations get flagged, Anthropic seems to assume you're just in full-on breach of contract and the contract terms themselves no longer apply to everything you've ever discussed.
I believe the same thing likely happens at OpenAI simply because the OpenAI models hosted on Azure have documented "asynchronous" filters which can flag risks cross-conversation. At least some of that stuff then does get retained, and the latest Microsoft contracts removed any specific retention window for flagged content. Again, assuming MAM (Microsoft's "ZDR") is not enabled. This type of architecture at Azure probably didn't arise in a vacuum. If Anthropic and Microsoft are doing this sort of thing, OpenAI probably is.
Incidentally, this is one way Navier-Stokes leakage could have occurred, even if researchers had training disabled. Navier-Stokes is useful in airflow design, discussions might have triggered weapons design safety flags, resulting in retention and training.
> Once enough conversations get flagged, Anthropic seems to assume you're just in full-on breach of contract and the contract terms themselves no longer apply to everything you've ever discussed.
For which they should be dragged in front of a court and sued for millions and billions, if it is found out, that they were simply wrong. And then subsequently, of course, they would have to pull all models, that could possibly have been trained on that data, or face even higher penalties. Haha, but of course I am just dreaming here.
The FTC has issued a number of warnings to the LLM providers regarding lack of affirmative consent or shifting consent for user data handling, noting they could constitute unfair or deceptive trade practices, e.g.: https://www.ftc.gov/policy/advocacy-research/tech-at-ftc/202...
There probably isn't any appetite at the FTC these days to actually follow through and investigate or possibly prosecute though. Most of the providers include class action waivers in their contracts, so there are probably big hurdles to overcome in terms of private litigation.
> For which they should be dragged in front of a court and sued for millions and billions, if it is found out, that they were simply wrong. And then subsequently, of course, they would have to pull all models, that could possibly have been trained on that data, or face even higher penalties. Haha, but of course I am just dreaming here.
Nah, you got it backwards: the frontier labs don't answer to the courts. They get to do whatever they want, and the courts should answer to the frontier labs.
Incidentally by design, I'd bet. "Ooo Lean! Terrence Tao could be trying to break RSA or elliptic curve cryptography! /s" Conveniently for the PR team, we need this data to train on to make sure America has the biggest and best math.
Thank you for pointing this out. Dahl is not really an Akkadian-focused scholar, though he teaches it; he's more well-known for his work on proto-Elamite. Still, probably more than capable to assist. I wonder if any Akkadian experts have weighed in on this translation?
Cuis is the easiest entrypoint into modern Smalltalk. All the others have so, so much stuff (great stuff, just a lot of it). Cuis takes the approach of paring things down to something minimal. You can understand everything from top to bottom fairly easily.
It's got a very interesting pixel layout, different even from previous tandem OLEDs. Hard to describe quickly in words, but shown in Figure 2 here: https://www.apple.com/ca/macbook-pro/proled-xdr-display/pdf/... I imagine some of the C-shaped empty space is probably to accommodate the per-pixel emitter transistor.
Some people don't have iPhones though. Rare, I know. I have an iPad and my wife has an iPhone but I have never owned one at all and instead have always used Android right from the HTC G1.
One things Kimi is useful for is accessing/querying websites that have paywalls or try to prevent use by AI agents. It is aggressive and persistent for that, though not always successful.
I read it just before Cyberpunk came out, just to know some more history of what I was stepping into. I was completely flabbergasted by how modern it felt to me.
I don't have the patience to read much anymore unless it is real good. I ate that one, more than once. And the others.
Payphones are also somewhat common in, off the top of my head, Canada and Australia. I'm sure plenty of other countries as well.
I wonder why the US went in so hard on removing or deactivating them (though we still have them here and there). Capitalism and not wanting to maintain stuff that's not used often, I guess.
Poor people used pay phones more often and once people with money could easily buy cell phones every time they saw some poor person use a payphone they would think, in large part thanks to hollywood, that they were drug dealers or otherwise up to no good. And once pay phones started becoming less common they became points for cops to harass poor people, because poor people are easy to get convictions on.
Specifically Unit 8200, which really has no counterpart elsewhere in the world given Israel's mandatory universal conscription. Imagine if you could systematically screen every young adult in a country, identify those with the strongest math/quantitative skills or promising deep tech skills and divert them into one single security special ops org for several years. You'd get the concentration of skill that Unit 8200 has been producing.
North Korea does this too, actually (and like Israel, for both genders). It's probably one of the significant reasons why NK has such a comparatively effective offensive cybersecurity group, despite how unlikely that would seem given their overall industrial capacity.
NK likely also gets a bit of a boost because of the extended length of mandatory service. Males on technical teams have to serve for 13 years.
Russia has historically not had mandatory universal conscription.
Dentistry is an interesting field because it's the only major profession where you can still routinely get hired as a full professor without a PhD. (This used to be more common in other professions fifty years ago.)
As an outsider, perhaps this is one reason why there seems to be more of an applied and subjective judgment-based element to the profession, and significant divergence in professional norms/treatment choices internationally (some examples where norms differ quite substantially: value of silver diamine treatment, rates of general anesthesia use for pediatric treatment, attitude towards "immediate loading" in implant treatment).
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