Not saying that you are wrong. But even before Trump the US ticked like 10/14.

The Nazi salutes were kind of a turn off for many European customers. Just not flying so well here.

I was just looking at Elon's X posts for 24 hours and there were about 15 posts about immigrants, pakistani rape gangs and so on, a few about AI, none about cars. He seems distracted.

lol, did Garry Tan code this?

This comment summarises it well. Linux requires you to think about your OS. Which can be fun, but for most people it’s not.

I'm not convinced that's the case. A few years ago I had a laptop with pre-installed Ubuntu and it worked without any fiddling. You certainly can turn Linux into a hobby and try all sorts of variations, which isn't really an option with Windows or Mac. But you don't have to do that.

Buying it preinstalled is the trick. Installing Linux on a laptop without official vendor support can be unpleasant.

Yes. Most people buy OS X and Windows preinstalled, too.

For me it came with age. I'm in my mid-forties now and although I loved to tinker with stuff, now I want things to "just work". I certainly see the allure of Apple ecosystem. (anecdata but my brother is the same).

Technology advances by increasing the number of things people can achieve without thinking about them.

Linux doesn't really require you to think about it, necessarily. More that odds are high if you have tinkered with something recently, you are more likely to do so again. Think of it as a reverse lindy number. (And this can be frustrating for folks with automated marketing that feel that they are too dumb. They are, but the dumb approach works rather well.)

To that end, the last time I tinkered with what linux distro I'm using is over a decade ago.

1.25 millions doesn’t even buy you the laser to cool the atom gas. It’s for sure interesting, but to put this on a train, we will have to solve a few more questions. like for example, how do you operate an optical table on a bumpy metro.

Those are the important questions that the people who need this need answered. Trains have better options than this, but there are some applications that don't and trains are an easy place to test whatever you are trying, if it works on a train you can then build the real thing (which is often an airplane or missile - with power an weight limitations that don't apply to trains)

The simple reason why they don’t do it: It has to be 100% reliable. Robots get stuck, need charge, software has bugs, … So your fleet of robots would need supervision. Probably for years to come. And a human driver only costs like 70-80k a year.

The point of machine learning based systems (imo) is that they aren't 100% reliable.

Idk where people are getting the idea that systems designed to mimic biological brains will have machinelike precision whilst also being flexible to adapt to new situations.

A human supervisor monitoring 10 or more vehicles and unstuck them in case will also not cost more per year.

Yeah, but this requires good teleoperator infrastructure. You can’t unstuck a robot that loses connection. There are just a lot of things that can go wrong. And an entire car being stuck and waiting for someone to come is also not cheap. I am pretty sure Amazon (one of the biggest robotics company on the planet btw) has done the math.

I wouldn't be surprised if this was true for most countries/states on this planet, also in the USA. Especially when the countries are as centralized as England and France. England without London loses like 20% of its population and probably even a higher percentage of its jobs.

What is Mississippi if you remove 20% of it's population that lives in high-density urban areas?

It's not rural England that's poor, it's the non-London high-density urban areas.

This is not true for England https://en.wikipedia.org/wiki/List_of_regions_of_the_United_...

And it's not true for Mississippi: https://mdes.ms.gov/media/8639/pci.pdf

http://www.usa.com/rank/mississippi-state--population-densit...

Relatively easy to disprove. The misinformation just fits the narrative better.

Urban areas like Manchester are showing up as poor on the list.

I think you actually answered my question. I was not 100% sure if there is no VC money for a company that solves some verticals with STAN. I assume there are still some quant companies out there using some flavor of HMMs. But yes, the question may be phrased a bit poorly. Are people still using probabilistic graphical models without deep learning as their go-to model in startups in some verticals? What verticals would that be? And if there is no VC money for this? What are they actually doing? Some combination of PGMs with deep neural network nodes?

I think you actually answered my question. I was not 100% sure if there is no VC money for a company that solves some verticals with STAN. I assume there are still some quant companies out there using some flavor of HMMs.

But yes, the question may be phrased a bit poorly. Are people still using probabilistic graphical models without deep learning as their go-to model in startups in some verticals? What verticals would that be? And if there is no VC money for this? What are they actually doing? Some combination of PGMs with deep neural network nodes?