GPS is generally jammed close to the target, to varying degrees. For intermediate guidance out of range of jammers it works fairly well

How would we know it was correct?

If you feed an AI nonsense in its training data, it will generate nonsense

California is a big state. The only true deserts are in the south east part of the state

This is not correct. LA gets its water from hundred of miles away. So does the Bay Area. So does the central valley.

3dfx had their own API which locked in game developers. This was far worse than anything NVidia has tried

have you heard of PhysX, Hairworks, or the CUDA moat?

3dfx hardware didn’t run anything but Glide very well. It did run some OpenGL after iD twisted their arm, but it was a really crummy implementation

While ATI and Nvidia never tried to implement a Glide emulation layer, several hobbyists did and 3dfx shut them down with legal threats

Were there any legal barriers to ATI/AMD or Intel implementing CUDA or PhysX on their systems?

They used Stanfords existing infrastructure … I don’t think the grant they were on paid for it directly. Pretty sure the cluster was a resource shared by several labs

It starts with seed URLs and fans out from there

Back in 1996, this could be done by hand

thanks! I imagined it will be something like that. Maybe Google used yahoo index back then as seed?

Yes. I think, there used be a directory of a links published, like an index.

China is their biggest customer

But they won’t make the connection

Flashy beats functional nine times out of ten

Just look at the automotive industry

You could do it but there would be no point, The only advantage over would be power consumption. And it would be quite expensive.

At the rate models are improving, it would be obsolete in six months.

Yes, right now it would be obsolete in six months, but I also must add that this never stopped crypto miners from making new ASICs. However, with how useful Kimi is right now - at some point if someone makes a dedicated hardware board with "good enough" model for daily tasks - that would be a very sought after commodity.

Power consumption and latency are very important on mobile

They're important everywhere of course, but especially on mobile. If AI researchers figure out how to offload knowledge and expertise from reasoning weights, then a core reasoning ASIC linked to the knowledge would totally rock.

Which is why you use git command line for such tasks

Where you can put comments on problematic lines/blocks of code easily with the git command... (Please continue, I'm really curious of there are better ways than what I'm currently doing)

Use VS Code and download the git plugin. Tasks like that become super easy