I want them to bring back Slashdot subscriptions. I'll happily pay to support Slashdot, but I uncompromisingly reject advertising. Not to mention, the few times the newer ads have gotten through uBlock filters they've been atrocious.

I know the site has been on life support for a decade but subscriptions seem like a pretty easy way to make some money.

I had heard that conceptually, they couldn't find a benefit for having the FPGA on-package but it was a big thermal/power challenge. So the integrated case was actually worse.

On the Omnipath side, similar story though they actually shipped a version... It got watered down to PCI-e attached even while on-package and so it was just a pain with zero benefit for being on-package. Very weird board/cooling design needed to let cable go straight to CPU, having to share the TDP budget between the loosely logically coupled, but tightly physically coupled functions...

But yeah, Intel doesn't seem to know what to do except processors, and they've squandered even that by now...

That wasn't *all* I said, but it is apparently as far as you read. But let's stay there for now. You apparently disagree with this, whnich means that you think that LLMs are the only kind of AI that there is, and that language models can be trained to do things like design rocket engines.

Particularly striking as they started from a pretty solid premise, that mismanagement broadly is the cause. Especially citing Boeing, which was *well* documented that the changes can be traced back to acquiring McDonnel Douglas, which was ripe for the taking after being mismanaged into failure and Boeing having the genius idea that the best thing they can do with a leadership team that tanked their former company is to put them in charge of the still viable Boeing. People who wanted to scream DEI pointed to DEI initiatives that started *after* the troubled MAX program was already in the air.

I wager engineers are willing to agree, as they see their work as solid but the business mismanaging things to make good engineering infeasible.

"We (the broader company) doesn't know how to engineer, but *I* still do" I could easily imagine being the takeaway. I think most of us can relate to being part of a broader mismanaged whole.

I'd say the big thing is they took their core product as granted, and focused a great deal of their income on almost anything else, aiming/hoping for some horizontal growth instead of investing to preserve their processor market share. Intel is flush with cash and could either invest in CPUs, or, say, buy McAfee, a brand that had lost most of it's value a decade prior. Or maybe acquire some HPC products to try to build an in-house all-in-one HPC solution to compete with their partners, then decide that was a bad idea and mostly abandon that expensive effort. Or maybe buy an ethernet switch chip company, and then promptly do nothing with it. Since it worked out so swimmingly the first time, do the exact same thing with another ethernet switch chip company and again just shrug and never do anything with it. Maybe spend a boat load of money trying to make "Optane" a thing, including heavy evangelizing to try to convince people to fundamentally rework core concepts of how they work to justify the apparently awkward in-between of PCM which was never going to be as fast as SDRAM nor as cheap as NAND. Along the way spend money on all sorts of weird random projects someone had without any target customer expressing interest in the hopes they stumble upon some unexpected Model T moment in a new market segment.

Intel just assumed their position in the market was unassailable and went about trying to start *something* else because protecting their core business wouldn't deliver adequate growth (they pretty much had the market cornered). So you have a lot of big 'lottery ticket' investments with inconsistent execution on top of dubious justifications in the first place. They failed to coalesce around a common accelerator/GPU strategy leaving them critically disadvantaged compared to AMD and nVidia, their CPUs surpassed by AMD, their fabs long passed by TSMC and none of their gambles paid off, so now they are just boned. I suppose on the upside, *now* they have growth opportunity in their core competency since they ceded so much ground...

That's what I just said.

Here's where the summary goes wrong:

Artificial Intelligence is in fact many kinds of technologies. People conflate LLMs with the whole thing because its the first kind of AI that an average person with no technical knowledge could use after a fashion.

But nobody is going to design a new rocket engine in ChatGPT. They're going to use some other kind of AI that work on problems on processes that the average person can't even conceive of -- like design optimization where there are potentially hundreds of parameters to tweak. Some of the underlying technology may have similarities -- like "neural nets" , which are just collections of mathematical matrices that encoded likelihoods underneath, not realistic models of biological neural systems. It shouldn't be surprising that a collection of matrices containing parameters describing weighted relations between features should have a wide variety of applications. That's just math; it's just sexier to call it "AI".

We know it weakly interacts electromagnetically, which means one of the ways in which it is posited planets form, initially via electrostatic attraction of dust particles, isn't likely to work. This means dark matter will be less "clumpy" and more diffuse, and less likely to create denser conglomerations that could lead to stellar and planetary formation.

What this finding does suggest, if it holds true, is that some form of supersymmetry, as an extension fo the Standard Model is true. Experiments over the last 10-15 years have heavily constrained the masses and energy levels of any supersymmetry model, so it would appear that if this is the case, it's going to require returning to a model that some physicists had started to abandon.

Funny, today I was forced to deal with a phone tree system that wanted to hang up on me at any whiff of a plausible path to hang up.

Point being that even without LLM magic, they have already been making it supremely hard to get things done. The old standby of hitting zero or saying representative over and over again would not budge this system. I thought for sure when I got it to prompt for payment information and if I screwed that up, *surely* that would escalate to a human, surely they want my money. Nope, hung up when I failed to provide the payment info in a timely fashion either.

The illusion of intelligence evaporates if you use these systems for more than a few minutes.

Using AI effectively requires, ironically, advanced thinking skills and abilities. It's not going to make stupid people as smart as smart people, it's going to make smart people smarter and stupid people stupider. If you can't outthink the AI, there's no place for you.

If they went 150% yesterday, and another 150% today, then within a month they will have stockpiled all the RAM in the world.

Without knowing precisely how Explorer is structured, it's conceivable that there may be different dynamically-linked libraries and/or execution points for running the desktop and for the file explorer, in which case just having explorer.exe running in and of itself doesn't mean that new modules have to be loaded if explorer.exe process fires up. The solution could very well be to load the libraries involved in file browsing when the desktop opens.

Just guessing here. There was a time when there was a lot more horsepower required for GUI elements than folder browsing, but this is 2025, and explorer.exe probably uses orders of a magnitude more resources now than it did in 1995, because... well, who knows really. Probably to sell more ads and load up more data to their AI.

That, on modern hardware, they have to preload a fucking file browser so that it pops up faster is just an indication of what a steaming pile of garbage MS is. They had sweet spots with Win2k-WinXP and with Win7, but their incoherent need to be a whole bunch of contradictory things --- with AI! has led what was a rather iffy OS and UI experience to begin with to become a cluster fuck of incoherence.

I do most of my day to day work on MacOS and Gnome, and fortunately the Terminal services version I have to RDP into is Server 2016, but every time I have to work with Windows 11 I'm just stunned by just how awful it looks and how badly it behaves.

I'm saying they may not be given the same offers that the suppliers were formerly giving them. If a supplier sees that nVidia will absolutely buy a huge supply of memory, then they will demand a comparable commitment from other customers. They will divert capacity to the customers that are willing to make the biggest and most certain commitments.

So Lenovo may have had to commit to bigger orders, or just be left out of getting enough to keep shipping their systems at all. If supply is constrained *someone's* orders are getting delayed, and the bigger orders get priority.

To the extent it might be a gamble, it could be a very short term gamble. Companies try to adhere to 'just in time' supply chain and carry very little advance supply, since investors heavily penalize carrying any sort of inventory over time. So as one example put it, maybe they extended stock from 30 days to 45 days, assuming that the memory market won't get better for at least a couple of months, which may be what the suppliers are forecasting.