They tried, but quarreling parent groups couldn't agree on whether to teach the kids that they were coding with 3 registers or 259 registers.

One major difference, assuming you've got full platform support(should be the case on any server or workstation that isn't an utter joke; but can be a problem with some desktop boards that 'support' ECC in the sense that AMD didn't laser it off the way Intel does; but don't really care); is that ECC RAM can (and should) report even correctable errors; so you get considerably more warning than you do with non-ECC RAM.

If you pay no attention to error reports ECC or non-ECC are both rolling the dice; though ECC has better odds; but 'proper' ECC and Linux-EDAC support will allow you to keep an eye on worrisome events(normally with something like rasdaemon, not sure what other options and preferences there are in terms of aggregating the kernel-provided data) and, unless the RAM fails particularly dramatically and thoroughly, will give you much better odds of knowing that you have a hardware problem while that problem is still at correctable levels; so you can take appropriate action(either replacement, or on the really fancy server systems, some 'chipkill'-like arrangement where the specific piece of DRAM that is failing gets cut out of use when deeemed unreliable without having to bring the system down.

I get it when an organization outsources something when they don't have enough work to sustain a team. Like a small town government isn't going to operate their own roof repair division just to repair government roofs (rooves?), you instead would hire a local contractor that has plenty of private work to keep their crew busy.

But some things the government does all the time and it doesn't make sense to outsource, like most office work. Of course outsourcing some temp staff can be practical if one can anticipate things like seasonable demand, but hiring local students if the job and time frame fit (summer job) is better still.

At the end of the day an organization can pay an employee, work out benefits, etc. Or it can pay a for-profit business to take a cut for management, owners, etc and try to cut corners on quality or benefits for the employees. I know how the neoliberal "third way" think, and they'd rather reduce the number of government employees, even if that amounts to giving taxpayer dollars to a private owner and gutting good paying union jobs in the community. It's no wonder the working class is struggling under skyrocketing housing prices, high tuition, and low wages. It's all symptoms of an unhealthy economic system that is the direct result of our political shift in both parties in the US. (and a general trend in much of the West with neoliberalism, especially the anglosphere)

Sometimes you'd get a BSOD that was a fairly clear call to action; when the error called out something recognizable as the name of part of a driver; but that is mostly just a special case of the "did you change any hardware or update any drivers recently?" troubleshooting steps that people have been doing more or less blind since forever; admittedly slightly more helpful in cases where as far as you know the answer to those questions is 'no'; but windows update did slip you a driver update; or a change in OS behavior means that a driver that used to work is now troublesome.

Realistically, as long as the OS provides suitable support for being configured to collect actual crash dump material if you want it; it's hard to object too strongly to the idea that just rebooting fairly quickly is probably the better choice vs. trying to make the BSOD a genuinely useful debugging resource; especially given how rare it is for the person with useful debugging ability to happen to be at the console at the time of crash(rather than just an end user who is ill equipped to make sense of it; or a system that mostly does server stuff, quite likely not on actual physical hardware, where nobody has even touched the physical console in months or years; and it's more or less entirely useless to display a message there; rather than rebooting and hoping that things come up enough that management software can grab the dump files; or giving up and leaving the system in EMS so that someone can attach to that console.

I think that many of those people were also recent DOS users. Given that DOS systems would often simply freeze up several times per day and require a reboot (easy to do since any bug in the user's application could do this), once they added a protected mode pseudo-kernel to Windows (maybe starting with Windows/386 2.1), it was actually a slight improvement over what they were used to since DOS crashes could sometimes be isolated to one virtual terminal.

I think I will cancel a few streaming service and Amazon prime to compensate.

Yeah, it's not even worth considering for something like 15-20kg. A full pallet in this case is 464kg :) Years worth of supply for me.

The current "AI" is a predictive engine.

And *you* are a predictive engine as well; prediction is where the error metric for learning comes from. (I removed the word "search" from both because neither work by "search". Neither you nor LLMs are databases)

It looks at something and analyzes what it thinks the result should be.

And that's not AI why?

AI is, and has always been, the field of tasks that are traditionally hard for computers but easy for humans. There is no question that these are a massive leap forward in AI, as it has always been defined.

It is absolutely crazy that we are all very very soon going to lose access to electricity

Calm down. Total AI power consumption (all forms of AL, both training and inference) for 2025 will be in the ballpark of 50-60TWh. Video gaming consumes about 350TWh/year, and growing. The world consumes ~25000 TWh/yr in electricity. And electricity is only 1/5th of global energy consumption.

AI datacentres are certainly a big deal to the local grid where they're located - in the same way that any major industry is a big deal where it's located. But "big at a local scale" is not the same thing as "big at a global scale." Just across the fjord from me there's an aluminum smelter that uses half a gigawatt of power. Such is industry.

That "ruler study" was ancient. It's mentioned in peer review at least as early as 2018, and might be even older.

Believe it or not, people in the field are familiar with these sorts of things that you just read about.

Most of these new AI tools have gained their new levels of performance by incorporating Transformers in some form or another, in part or in whole. Transformers is the backend of LLMs.

Even in cases where Transformers isn't used these days, often it's imitated. For example, the top leaderboards in vision models are a mix of ViTs (Vision Transformers) and hybrids (CNN + transformers), but there are still some "pure CNNs" that are high up. But the best performing "pure CNNs" these days use techniques modeled after what Transformers is doing, e.g. filtering data with an equivalent of attention and the like.

The simple fact is that what enabled LLMs is enabling most of this other stuff too.

Jevons Intensifies

Don't be silly. Trump hasn't experienced any ethical decline.

If you can get IPv6; my ISP doesn’t support it.

And for slightly more money you can get one that can control up to three garage doors and includes two magnetic sensors to detect open/closed state. They have their own app for the tech-scared but you don’t need to use it; it’s fine with HomeKit, and Home Assistant can control HomeKit devices.