"Those who cannot remember the past are condemned to repeat it".

Yes, I wish software developers were more like actual engineers in this regard.

Back in the MS-DOS days, the amount of data needed to be read off a disk while the OS booted was negligible, so a second or two on a fast 486 felt amazing compared to the incredibly slow grind of watching code execute on an 8086 or slow 80286. Software was still in the space of having to run tolerably on an 8086, so the added resources of a newer faster machine actually did improve the feel of the system.

TSMC plans their A14 process to be in high volume production in 2028. It will include backside power delivery introduced in their A14 process (expected 2026/2027 high volume production), which means it will be quite competitive with Intel.

https://semiwiki.com/wikis/industry-wikis/tsmc-a14-process-t... https://semiwiki.com/wikis/industry-wikis/%F0%9F%A7%A0-tsmc-...

There's an older article at https://www.igorslab.de/en/350-watts-for-nvidias-new-top-of-... which shows the breakdown of power consumption for GPUs. The GPU die itself is only 230W of the entire power budget.

"The GPU die will remain with TSMC, but portions of the I/O die are expected to leverage Intel's 18A or the planned 14A process slated for 2028, contingent on yield improvements."

Reading between the lines: Nvidia will most likely design a TSMC version of those I/O die portions in case Intel fails.

Intel has a decades long reputation of failing its attempted foundry customers. Whether or not Nvidia's ownership stake is sufficient to overcome the inertia within Intel that has resulted in those failures remains to be seen.

A more personal question: is your reverse engineering work just a hobby or is it tied in with your day to day work?

Yes, this happened a bunch more over the Christmas holiday when we had an extra 3 or 4 younger family members all listening to music and videos over their bluetooth ear buds and headphones, which made it much easier to track down as it was quite a rare intermittent failure with only a single bluetooth device being active.

Moreover, university students in programs like architecture are given access to many map layers as part of the school's agreements with the organizations publishing the data. Without that access, students wouldn't be able to pick up the skills needed to do the work they will eventually be hired for. And if students can get data, then it's pretty much public.

Privacy is becoming (or already is) nearly impossible in the 21st century.

Instead the cost of pollution is externalised and placed on the backs of humanity's children. That includes the pollution created by those datacentres running off fossil fuel generators because it was cheaper to use gas in the short term than to invest in solar capacity and storage that pays back over the long term. The pollution from building semiconductors in servers and GPUs that will likely have less than a 10 year lifespan in an AI data center as newer generations have lower operating cost. The cost of water being used for evaporative cooling being pulled from aquifers at a rate that is unsustainable because it's cheaper than deploying more expensive heat pumps in a desert climate.... and the pollution of the information on the internet from AI slop.

The short term gains from AI have a real world cost that most of us in the tech industry are isolated from. It is far from clear how to make this sustainable. The sums of money being thrown at AI will change the world forever.

Nope. Ended up going on site one day. It turns out that the power bar everything was plugged into was sitting on the floor at the back of the desk in the customer's office. When they sat down first thing in the morning, they would often jostle one of the power supplies just enough to cause a restart. Moved the power bar over 2 feet to the left where feet couldn't reach it, and the problem was solved.