The available information isn't terribly specific; but on the surface it doesn't sound any deeper into application internals than it already does.

You can certainly go deeper into etw trace hell; but Task Manager knows how much CPU time you are eating, your memory consumption metrics, your network traffic, and has a (currently less granular) look at your consumption of GPU time. It also having a view of consumed NPU time seems totally analogous for a new flavor of coprocessor. Only one that might involve gory poking at the application(though I'd assume would be more logically pulled from the GPU driver) would be distinguishing "GPU Neural Engine" from GPU utilization generally.

They don't need to be.

The thousand-men armies scanning books get the books by buying them by the pallet load. It's stuff that nobody really wants, like old technical books that are out of date, self-published books, etc.

If the book was actually valuable you wouldn't expect the seller to sell it for dirt cheap.

Yeah, A.I. is fine when it's used as a tool. Heck, we all used to use calculators in school even when doing Calculus. It wasn't doing the Calculus for us, just simple calculations. Even now, I'm a sysadmin who used to do a lot of programming but not really any more. But I still do some scripting and A.I. has saved me a lot of hours on things that honestly are pretty simple but just not things that I do on a daily basis any more. So I come up with a framework and ask A.I. to help with syntax or the specific function I need to perform a task. And it would be different if I was doing it for a class. I'd expect to do a lot more, if not all, of the work myself. But as a tool for work product? More than fine.

Not specific to data centers, but too often legislators ignore the will of the people who voted them in. We could use more of this type of accountability.

Can't believe this is even a story. Of course it doesn't matter. There are differences between what the Professor is complaining about and using A.I. to help write her opinion piece: 1) It's a completely different subject area. She's a math teacher, not an English teacher. But even an English teacher might use A.I. to assist in writing an opinion piece that has nothing to do with his/her academic life. 2) It wasn't coursework. If she was doing it in an English CLASS maybe there would be a point. 3) She was writing an opinion piece for wide distribution. It makes sense to get some assistance in doing so, and/or helping do the research to support the piece. That's exactly the type of thing A.I. is actually useful for.

The problem with this argument, from the shop's point of view, is that the UK is in the middle of a shoplifting epidemic. The policing resources simply aren't there to deal with small scale (or even flagrant and much larger scale) shoplifting. It now seems to be rare for police officers to attend reports of shoplifting at all. And so effectively shoplifting becomes legalised, which is obviously hurting the big chain stores financially and potentially devastating for smaller shops.

Shops are trying to find some way to respond to this to protect themselves. They typically tell staff, even security staff, not to get physical with shoplifters as they walk out, not least because the risk of something worse happening and the business becoming liable for it is significant. But then the shoplifters know this and some of them will just walk in and openly empty a shelf into a bag and walk out again without paying because they know no-one will try to stop them.

Shops also know that our court system is completely overwhelmed at the moment and there is little chance of bringing any successful civil action to recover damages from shoplifters who aren't even being arrested by the police and put through the criminal justice system.

So what do they have left? Basically, they're trying to spot the "usual suspects" and refuse them entry in the first place, which is a less risky proposition in terms of potential for physical violence and quite effective because a lot of shoplifting is done by the same people, or they're trying to make it more physically difficult to steal goods, for example by using locking systems or keeping high value items behind counters where customers can't just pick them up. But these systems aren't perfect, far from it, and what we're discussing here today is one of the significant problems.

Obviously this kind of technology can have very bad consequences, as we see here. I don't think it should be used if it's not highly reliable, given the potential harm done in cases where it gets something wrong. But I do have some sympathy with the shops who are looking for something -- anything -- to reduce the threat they're facing because the rule of law has failed in retail settings.

On the contrary, I think most of your comment is as relevant as ever. A carefully designed UI is still better for almost any specific task than what "agents" will produce. It will probably be more efficient to describe what you want precisely enough to get it right. It will not be undermined by problems like non-repeatability, non-determinism and hallucinations that are inherent in LLM-backed agents.

Agents can be quite effective at getting something that seems about right, as long as you don't care too much about the details. And of course they get there much quicker than doing it manually as a human. This is useful for some tasks, and why they have become popular.

Unfortunately, it turns out that for many of the things we really care about, "about right" doesn't cut it. Right now, today, the software industry is already being overwhelmed by AI slop. It's hard to believe, but it's still only been a few months since agentic development processes arrived on the scene. And yet after just those few months of management trying to replace real developers with agents, we can see the slow-motion train wreck happening right before our eyes. And in return, where are the new applications that radically improve on what we had before thanks to all this added "productivity"? If this tech is going to change the world as the AI tech bros and the sycophantic CxOs kneeling at their feet would have us believe, where's my flying car?

Imagine a Beowulf cluster of AI-generated cybersecurity nightmares...

It is. The fact that our dominant desktop operating systems are still using security models from last century is probably the #2 disaster of modern tech security, coming in just behind so much software with potential security implications still being written in languages like C and C++ at #1. And the understandable yet still deeply regrettable reason for both disasters is the same: momentum.

I normally connect to all online conference calls via their web UIs. At least then it takes both a screw-up in the communications system and a screw-up in a browser security sandbox that is independently developed to allow something like an RCE or data leakage vulnerability to be exploited.

People have called me crazy for not wanting to install native apps from the likes of Microsoft, Google and Zoom in the modern era of remote working, but every now and then, there's another story like this one that reminds me why I am extremely careful about what native software I install on anything these days.

What, specifically, do you mean by "personal Windows installations"?

Are you suggesting that any business of any size should only ever use Enterprise editions of Windows?

No, I read the details explicitly quoted at the start of the discussion and responded to them.

Are you saying that this episode has not in fact resulted in (a) unplanned software being installed on end devices that will (b) automatically read data that is stored on those devices without the proper approvals? Either of those things alone can easily become a compliance problem if you operate in a regulated environment, whether or not things ultimately go any further on this occasion.

LOL

It was obnoxious enough when Microsoft started pushing this kind of unwanted "feature" on home users, then small businesses and professionals on Pro editions. There are real legal and regulatory concerns over this kind of change that businesses have to take seriously. If they've screwed up so badly that even their large corporate customers have been hit by the same thing and there isn't even a good way to undo the damage at the moment, this could lead to meaningful lawsuits from their customers and/or interventions by regulators.

If you are treating Windows devices as much like chromebooks as possible (autopilot deploy into S-mode; fairly draconian setup) you can get away with not too much IT; but at that point you really have to ask yourself why you are using Windows devices.

Most of the things you actually need windows for don't play all that well with that level of lockdown; and between chromebooks being cheap and defaulting to that level of lockdown without additional effort and the low end Apple stuff being nicer than wintel hardware that costs the same it's a bit tricky to make a strong case for running Windows systems as 'edgebooks'. You can; but it's not a super compelling option.