I suppose I wasn't clear, when I said they are dutifully generating code, I mean they *are* using the AI tools. So the leadership is left with the possibilities that either AI isn't fit for the task of suddenly halving their headcount without any transition plan or the employees are to blame, and so they are deciding the employees are to blame.

The leadership cut entire teams and then just assigned their projects to the other half who had never seen the codebase, never used or talked to users of those projects, no knowledge associated with meetings and emails and instant messages, only tickets and a codebase to go on. AI was the stated answer as to why not only could they double the workload, they could AI-away the traditional need for typical transition efforts.

The trend even in theory doesn't seem to keep pace with the depreciation on the assets.

My subjective experience is opposite, after an initial rapid improvement in LLM behavior, the subjective experience has plateaued. Doing a better job with getting the right stuff into context without having to manually stuff it with certain tools, and that counts for a lot, but given the same context the outputs are about as unreliable as they have been, including gemini 3. If it generates too much code, then it's more trouble to fix that code than it's worth. Digestable snippets are useful... sometimes to save on tedium, but the investment seems to expect to just replace people, and it's not going to be there from what I see.

And the marketing has been obnoxious, pretty much going back to GPT3 I keep seeing some advocates saying "It can write your code for you!" followed with the next iteration of "well, admittedly, it couldn't before, but *now* it can!" GPT4, Claude, Gemini, I keep seeing the claims and then dismissing the previous claim to say "this time it's true!". This is starting to really impact companies, I know of a company that laid off over half their developers without any warning or prep, with execs telling the remaining people "you can just use AI to maintain and improve the code, it's going to be no incremental burden". They seem very disappointed that a bunch of things have stopped happening and have been saying the devs must be some sort of luddites refusing to use AI to just do the work, even as they are dutifully generating code.

Historically speaking, that last part is frequently elusive. Lots of crashing and burning of once "sure thing" tech companies. Some have survived, but it's hardly an assumption that can be made.

Reminds me of when an executive left our company and higher ups were rushing to assure us that we shouldn't be too worried and don't let this hurt morale while mostly we either didn't care or were kind of glad to see the idiot go. Meanwhile the execs speaking would get obviously angry at the guy for betraying them and leaving.

It was clear that day that the executives actually think we give a crap about any one of them.

Not knowing anything at all about Apple and Dye and Lemay, the story seems depressingly familiar and totally believable based on my experience with big companies.

Someone useless occupies a high position because he convinces peers he is somehow insightful, everyone hates him for his crappy 'leadership', his departure pisses off the leadership team so much that all his allies are dead to them.... Yep, all of this absolutely looks like things I've seen at other companies...

Nope, they are going the other way. There's a proposal to dramatically increase residential power rates, in part to fund the 'increased demand due to datacenters". They want residents to pay for stuff instead of making those poor, cash-strapped AI companies have to pay for what they are inflicting...

Not a weirdo, and it's all about their business interests against the users.

A user increasingly keeps their device over a longer term, 8 year old devices are common. Between their needs not evolving and to the extent they are, they focus on their phones. As a result, Microsoft gets thrown a few dollars by the OEM when the device sold, and that's it.

Meanwhile, if they get someone into a microsoft account, they can upsell them on subscriptions to office and onedrive, and easily make more money per user per year than they made from many of those users over a decade.

Ingress NGINX controller is being retired.

A viable, maintained alternative is NGINX Ingress Controller.... Totally different project....

To make his suggestion at *least* vaguely closer to reasonable, even if not there, could just say text will be in the phonetic scripts. So maybe not Kanji, but sure, Hiragana and Katakana.

If it is true that no one will reasonably provide fonts for cheap to cover the thousands of Kanji, you could still be in native language with a manageable scope by sticking to the phonetic scripts.

Perhaps you should just grow up.

And?

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.