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.

Since invariably, you still need to carry a physical ID for the most serious of applications, according to the article, it's completely pointless.

Even if they don't pollute all the time, consider when a "power emergency" will be most likely. One common situation is when there is a stagnant heat dome sitting on the area forcing everyone to crank up their A/C.

Then the data centers will fire up their gas and diesel generators with short exhaust stacks, and with no wind all those fumes will just linger in the general vicinity.

Gee, if a counterfeit lithium ion battery peddled by Amazon burns your house down, you get to sort it out in small claims court.

Or else let some guy whose salary ultimately comes from Amazon decide whether they're liable.

People thought that I was crazy for wearing this sharply angled black stealth suit.

Who's laughing now?

> Start with the premise that a total ordering by merit is impossible.

why do you think so? you absolutely can hire by merit and its the simplest and most logical method.

> At best, you can define merit equivalence classes.

"equivalence" based on what? is this a mealy mouthed way to say "equity" or 'DEI" ?

when an idea fails, renaming it doesnt reset the universe.

That failed concept is exactly what caused the tragedy at hand. let it go.

> Within the top classes you should hire a random sample that has the same racial makeup as the population.

lol, this can never happen. you cant know which "equivalence class" someone is if you hire a random sampling. Youll end up hiring by merit if you pick the top performers, and doing DEI if you peek at their demographics and disabilities and ignore their ability level.

Just like any science, if you come up with a crazy theory and the evidence contradicts it over and over, its time to discard it and accept reality.

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...

Investors are chasing a company that achieves some kind of AI singularity. Let's set aside the fact that there's no reason to believe there is anything but diminishing marginal returns by making marginal refinements to current frontier models. Let's imagine someone hits the jackpot and gets, not even AGI, but a system that's as far ahead of today's frontier model are ahead of 2020's GPT 2.0 in performance.

Globally AI revenues are 150 billion, against a cumulative burn rate of 450 billion. A model that is a generation ahead of others would almost certainly capture the lion's share of that revenue.

If AGI magically appears as a Sam Altman has promised investors it will, a hundred million is way too low. Add, maybe, another zero to the revenues.

Conservatively, a safer assumption is that frontier models will get marginally better based on refinements in training and reinforcement and the other bits and bobs that go into these systems. The nobody is winning the lion's share of anything, at least overnight. But you have to define "safe". By "safe" I mean unlikely to lose money. But some investors are clearly defining "safe" as "having the greatest chance of owning a piece of the biggest thing ever."

I'm not following this super-closely, but if Anthropic is pursuing adding multi-step model based reasoning to their system, that could be the basis of a generational leap in capability. But if that is an approach that looks like it has a chance of working, then their competitors are no doubt pursuing the same thing. In that case you'd expect the revenue pie to grow as the scope of model utilty increases, but that growth to be split among several competitors. This could credibly result in a revenue stream for some of them that is as big as the entire industry's revenue stream today. But there's going to be hell to pay on the data center impacts end of things.

Time to turn in your geek card. A "watt" is a unit of *power*. People pay for *energy*. Energy = power X time.

Electricity is often sold in energy units called kWh (which is 3.6 megajoules). At a retail price of 20 cents/kWh, five dollars of electric ital energy is 25 kWh.

With a power consumption rate of 1000 kW, that amount of energy is used in 90 seconds. Presumably, the 1MW peak power rate was only used briefly, just like a car with a 300hp peak power engine usually cruises around only generating a couple of dozen hp.

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?

I'm not familiar with that game, but this story does remind me of Missile Command.

Look, you didn't get the memo. Stay on message. It's the democrat governor.