Programs like these arenâ(TM)t meant to protect people from themselves. Itâ(TM)s to protect us from their inability to plan ahead (whether that is because they are struggling to get by, or they are just dumb and make bad investments or refuse to save for the future).

They could give a fig how much time someone spends.

Those people are measured outlet on money earned / lost.

There may be a loose correlation, but revenue is the only performance measurement that matters.

Probably, I know at least last year and before it would not take routes that cross train tracks.

Bingo

According to the BLS report the margin of error for the 130,000 jobs in Jan is +/- 127,000

Why would they do that? Taxiâ(TM)s operate on demand. If thereâ(TM)s so little demand in an area for such an extended period of time, the more likely scenario is for Waymo (or whatever robo taxi company) to either send the vehicle to a different location with more current demand, or back to the main hub and power down.

> But it is a purely esthetic difference.

Yeah, I think thatâ(TM)s the point, it looks nicer.

According to the article, the (Google, Meta, Amazon) have changed the life of a deprecating asset (Google and meta up to 6 years, from 4 and 5.5 respectively) AWS has bounced from 5 to 6 and then back to 5)

The neo-clouds are doing something different and appear to be taking out loans to purchase the gpuâ(TM)s and then using those assets (the gpuâ(TM)s) to back the loan. Kind of like how you or I could take a loan out on a car or mortgage on a house. Neo-cloud loans are for 3 years it appears and they are saying the assets are still good for a total of 6.

So basically Burry is saying he disagrees with both sets of companies over how long those assets will be of value.

But the article points out you have things like A100â(TM)s, released in 2020, which are still heavily utilized in inference workloads (just not training workloads) and were already going 5 years out, so maybe that 5-6 year window is justified)

It also appears to miss the point that the assets are just an input (like seed, fertilizer and water for crops) either the time rented for the gpuâ(TM)s and related infrastructure by cloud customers, or the creation of a trained model, or SaaS offering using the inference platform is the economic output.

It's the same picture.

Have you ever tried to instruct it to ask you for clarifying questions before providing an answer?

That report was about consumer grade GPUs.

Sure some 5900â(TM)s and 5800â(TM)s might be used in local inference tasks, but ai data centers are stocked with a a completely different set of GPU configurations that nothing in the article alludes to being included (H100â(TM)s or H200â(TM)s) for example.

and the boys were already ten and eleven years old when I entered their life

I hope you got a good relationship with them! My son can't even talk yet. So, right now, he's just this cute thing that runs around and causes trou^H^H^H^Hgood things to happen.