I'd imagine this is the first step. To take it further, it would likely need to be a tablet-like device that doctors scribble into where the transcription is happening just about real-time. For it to gain real adoption though would take more features than that.

While it's tough to convert the whole floor to a bunch of a apartments, I'd be surprised if there wasn't a way to create luxury apartments with communal workspaces available on the floor. I'd expect that to be a luxury that would be valued at a premium in bigger cities like NY and SF.

Even moreso than Coinbase being an American company, it's a PUBLIC american company that is scrutinized by the rules of american exchanges. This makes it more transparent financially than any other exchange that you can hold your crypto at.

and as well as discoverability / searchability. how easily it is to find what you're looking for

HF datasets have a much better UX for this

UX preferences vary. Imo, hf is too verbose and their pages try to cram in too much information with poor information hierarchy. For example:

https://huggingface.co/datasets/glue

https://www.tensorflow.org/datasets/catalog/glue

In this case, I don't see UIs, i see HF have a 1GB+ dataset that is curated. TF, in contrast, has 10 glue datasets varying from KBs! to 100s of MBs in size.

For Glue, HF wins, hands-down, IMO.

To each their own. I like that TF separates them since they are separate tasks and combining them is only one use case. At the end of the day we should just use what works best. The ML landscape is far from settled.