Sadly good point.

I didn't mean to overstate. GlobalFoundries aren't the primary for Apple or Qualcomm. They make some chips with them. I'm not certain if any of those projects are AI related, but for Qualcomm almost certainly yes.

Apple, AMD and Qualcomm are on GlobalFoundries.
I suspect SpaceX/xAI will have an inference chip soon, if they haven't announced it already. I think they are going through TSMC. But I'm not aware if that's firm.

I have had some luck using Claude to build Typst templates (typesetting system). It is especially useful if I hate the way a document looks and I want to rip it apart and redo it. I usually just put up with it, but the AI will mindless work on a few variations that I can preview.

At my job, AI is used by my boss to second guess the work engineering is doing. He burns a lot of our time having us check things and explain things. Almost entirely false positives, but he sure is smug when AI does catch something.

It's better as a solo game than multiplayer. The main draw is exploring and building bases. There are lots of other little mechanics but it's not a deep game. The story is interestingband unique, but confusing and short. You're fed story about two or three sentences at a time over several hours. They whole plot likely doesn't fill a page of text.

Multiplayer co-op was a big disappointment for my wife and I. We can hang out together, but it is hard to sync up main story or side missions together.

The space combat is bland. The first person shooter mini game in derelic spaceships is extremely boring.

Keep the Maia 200 in service, because they have 100's of GB of RAM per node. And are still very effective for inference.

Fabless IP is the norm in the industry. Nvidia and Apple are no different in that respect. And really, these are more like chips that compete with what Amazon, Meta, and Google are doing. Again, most of them also go to TSMC or Samsung for their foundry.

If you want to ditch Nvidia, you should probably use AI to make a new CUDA competitor instead of wasting time designing silicon.

...who thinks that huge centralized data centers are a bad idea?

Here is the 'word' that you need: SCEP

That is all.

To this day I still haven't managed to improve my coding with AI.
When trying to do something I know nothing about, it just gives me standard boilerplate examples, but I could find them by myself just reading the doc.
When learning very obscure or uncommon protocols, it is no better than me.
When dealing with a large codebase (big makefile or cmake), you can't upload the whole thing to chatgpt, so how do you tell it to refactor something ? Maybe I'm showing my age but I don't get it. Maybe it works with the kernel because the entire code is publicly available, but for a private codebase ?

Yeah, well, about that... I just bought an oldish electric car, so my first thought was to go update the firmware(s). On the manufacturer's website it just says 'no longer supported' and doesn't even tell me what the last version numbers were. Damn lazy fucks.

Eh, now that's no way to talk. It's much better to keep them busy in a Math Dept than to institutionalize them !

In what world would the staff stocking shelves on the night shift have access to the HVAC controls of a supermarket?