If it works for some use cases, isnâ(TM)t that enough? We have spoons and they donâ(TM)t work for most use cases.

Hybrids are a transitory and niche technology. If nothing else it helps with the range anxiety until EVs become mainstream.

Rarely does old technology become completely obsolete. There will be a need for ICE technology if for no other reason than the energy density of carbon fuels.

How is AI different than Auto-Tune or synthesizers?

Imagine feeding western advanced chip design data (better than what the Chinese have) into something like GPT.

With broadcast television there were ratings, Nielsen numbers and advertising revenue to measure success. The streamers have so such public metrics, so almost impossible to empirically determine success.

Given how many makes and model Ford has multipled by the years and languages that need to be supported, offloading it to Apple and Google isnâ(TM)t a bad choice. People get a choice and more frequent updates.

They also support Android Auto if you prefer it over CarPlay.

We could also build a ring, aka Ringworld. Easier to build and achieves many of the benefits.

If we achieve the technology to build a Dyson Sphere I think we can manage.

Some applications are perfectly okay with a one square inch chip running at 100 kHz. The Intel 4004 was only 2300 transistors and the 6502 was only 3500.

You have identified a fault in academia not the scientific method. The truth is that the easy stuff is done. Going forward progress will me measured in decades if not centuries. And we likely need to create new tools.

Microsoft can go join DEC, CDC, Borroughs and UNIVAC.

In addition to a poor design it is a happy path system and doesnâ(TM)t account for real world exceptions. The project obviously chose fast and cheap over good.

The billions of lines of code on a typical computer are already beyond humans. The only way we manage is to break it up into smaller apps. Which is why we are always finding bugs and vulnerabilities. AI is our only hope.