See what Naked Face-Eating Man can do to the interior of a MechaHitlerMobile before it can get cops to respond.

How long before someone leaves an alligator or python in one?

Partly true.

Completely correct about court decisions coupled with legislation mean that the US asserts data sovereignty but will not honor it.

But Europe only grumbled about that until the US selected a geriatric grifter for executive and started providing object lessons in why that wasn't just a theoretic risk.

Honestly, so far this is going easier than Europe could have hoped. I'm sure Piggie will notice at some point and start running his yap and throwing around more tariffs, providing more demonstration as to exactly why Europe has to migrate data somewhere safe. But he's incompetent and impulsive enough that they have a window in which to migrate before he takes his last dump and some more competent fascist ends up in charge.

What are we going to use to handwave all the 'officer involved shootings' now that the claim that you feared for your life in the face of an imminent threat is no longer plausible? We can't really put these to work until we've decided on suitable legal cover!

I'm glad to see that we have moved past the era of 'bugs' or 'defects' and are now anthropomorphizing undesired behavior as 'honest mistakes'. Truly progress is glorious.

Obviously billing errors are bad; but it seems like ones that off by an egregious number of powers of ten should concern us much less than ones that are small enough to be within the realm of plausible; those are the ones that you'll need to fight over and quite possibly not even win if you are an edge case or dealing with one of the services/configurations where you don't necessarily have any independent measure of usage. You can probably tell that you didn't use a VM more than 720 hours in the last 30 days; but are you actually counting GET requests in some way that is both authoritative and cheaper than just paying the $0.0004/thousand rather than hoping that Amazon will charge you correctly? For some very buttoned up buckets that only your other stuff accesses, quite possibly you can infer from those systems; but if it's something public facing and it might be a billing error or maybe you just got crawled hard last month?

Realbotix's classroom robot has drawn scrutiny because the company is connected to RealDoll, the longtime maker of hyperrealistic sex dolls and sex robots. Realbotix acquired RealDoll's parent company in 2024 but says the education-focused operation has separate employees, payroll, facilities, and technology, with plans to formally separate the businesses at the ownership level.

The "companion robots" are different from sex robots and intended to address what it's described as a "loneliness epidemic." Kiguel has previously said the company's goal is to produce robots and AI that are "indistinguishable from humans."

I'm not surprised surprised or anything; but it seems like a serious problem that it's the 'maker of high-end sex toys' part; rather than the 'attempting to replace education and human interaction with chatbots' part that has the company embroiled in controversy. Real Dolls are certainly pretty niche; a lot of additional inconvenience and cost for modest gains vs. vastly cheaper and more accessible local stimulation tools; but using tools as stimulation tools seems considerably less weird than using them as friends or fobbing children off on them.

So far, experiments have shown that one cannot expect people to remain as diligent after extended periods of LLM use.

This is absolutely a problem if you work in a shitty sweatshop that forces you to be a sin eater for robot code.

The way we do it is, the tools are available, but you're not required to use them in any specific way or really, at all if you don't want to. You do, of course, have to get your work done and be responsible for your code. We have a spectrum of use, from all-in cascades of agents through folks who use it as little more than a search engine.

We had a few incidents where people were caught out and couldn't explain why their code did what it did, but that seemed to be enough to warn the rest; that hasn't happened in a while. I don't see our "velocity" stats, so I don't know if/to what extent the robots are speeding us up, but knowing our bean counters we wouldn't be maintaining our spend at this point if there weren't a visible bottom-line result. I do see our bug and incident metrics, which haven't seen any impact from LLM use.

If you work in a shithole, yeah, they're going to burn you out. But that's about sociopathic management, not the robot. They'd wear you down a different way if LLMs didn't exist.

I just figured fleecing rubes was considered the retirement plan for this band of raiders and whores.

Dude's crime wasn't playing the inside, it was getting caught while not having enough dirt on the boss to make him care.

Who's testing intentional bias in OpenAI or Anthoropic?

I'd honestly be a little surprised if there's much protective effect.

It's possible that having to go through the setup process yourself is a little too much seeing how the sausage is made vs. interacting with a pleasant frontend cynically put together by someone who knows how 'engagement' works; but it's not like the nerd reputation for skewing socially awkward or the AI bro reputation for reaching a bit too quickly for slightly mystical anthropomorphisms are entirely unearned(the 'soul.md' is a frankly somewhat depressing genre).

At least for now; there might be some confounding demographic effects if you are talking one of the chunkier local models; in a country with a per-capita GDP of ~$14k being able to comfortably afford, or willing to uncomfortably afford, the necessary hardware would make you either at least modestly wealthier than average or significantly more interested than average; but as you slouch toward stuff that runs on more typical hardware the demographic differences presumably decrease.

There's a handy list, probably a little out of date.

Names you might recognize of include Juniper, Citrix and Netapp.

I don't want to diminish the accomplishment; that seems like a very cool dataset and probably one that was really fiddly to pull together; but, if you are talking single-neuron resolution; I am curious about whether you can still call an individual sample "the human brainstem" rather than "a human brainstem" and what comparative purposes you can use it for without running into trouble with cases where there are multiple ways for a brainstem to be adequately healthy, so long as certain requirements are met, so you'll need considerably more samples to draw useful inferences about exactly what the problem abnormality is.

Same sort of thing as when "sequencing the human genome" was a big project. Obviously a major exercise in gene sequencing and a basis for situating subsequent sequencing operations; but once you start talking detail there isn't 'the human genome'; literally everyone has one; and it turns out that different differences matter or don't at radically different levels.

Presumably the methods used to do it once will be helpful in doing it more often in the future; but I'll be curious what we discover about the balance of 'normalcy' vs. some relatively subtle and confusing combination of surprisingly variable ways to have a brainstem that seems to work just fine along with surprisingly subtle, no ghastly big lesions, ways to have one that ends up being totally dodgy.

I find "NOTE: Experiences vary by region." to be a bad sign for something that would be so trivial for MS to alter the behavior of; and where they are obviously not earnestly making improvements that were previously impossible but grudgingly rolling back bullshit they thought they could get away with.

Probably means good news for users in the EU; same way they get left out of some of the most egregiously bullshit 'AI' stuff; may help EDU and enterprise; but I'm guessing that it's no promises for less favored users.

I'm not expecting that from domestic opponents; both because the penalties are high and because people are, historically, shockingly bad at shooting for targets that actually matter. I'm thinking more internationally.

If 'AI' is half so interesting as its proponents claim one would expect being a machine learning researcher worth offering a fat signing bonus to be about as dangerous as being an Iranian nuclear physicist or a Russian oligarch who has fallen off Putin's friends list. If Zuck thinks that you are worth $100 million it seems like someone who takes the idea that 'AI' is the next frontier in state power would consider it worth the trouble to hire some local criminal to kill you in a botched robbery or have their clandestine services attempt to throw you a little tea party. So far no reports of even foiled attempts.

Anyone who thinks that the bots are going to wipe us out is overestimating the bots; but it seems like there is a disconcertingly large supply of people who are just chomping at the bit to replace people regardless of whether the bots are up to the job or not.