Is public transit in the US really that bad?

It's not that bad in most places (except in that you can get some very sketchy people on them making regular use unpleasant).

But inherently government transit is limited in what it will cover and there will always be gaps where some large number of people want to get somewhere else every day, that is not well served by transit (either multiple connections or long routes with no express options).

That's why private services like this can have routes that make sense and help the people that need them.

I see already it appears 99% of replies look to be along the lines of "that's already been done, it's a bus/train".

Well here's the difference - it can take a city YEARS to approve any route changes even as people move around and a city changes. In part that's because buses have a lot of infrastructure around stops, and requirements for drivers.

The ride share services already know if there are clusters of people that often go from one area to another on regular commuter schedules - so they can set the stops at places that help the most people get to where they are going.

So to me I think this will help a lot of people. And it also probably provides a service a cut above a bus in quality, while not being too terribly expensive.

And you need a lot higher resolution

Since this would be a cheaper variant, would not need as high a resolution for things like most apps and games. Movies look better higher res but for some people it would be enough.

check the deep analysis of KGuttag: Apple vision pro still sucks at walls of tiny text.

I did read this but it's absolutely 100% wrong in real world use. I use it for coding all the time and for reading lots of "walls of text", it is awesome as a large monitor. Something about that analysis is deeply flawed.

Vision Pro was already a enough of a failure

Oh I see the problem now - you have no clue what is happening.

The VisionPro was never a failure, it's succeeded right in line with Apples expectations for the first model.

As you will see, Apple will be letting us know what the next phase is in June.

I mean, I use it every day for work so obviously your understanding of what it can and cannot do is utterly minuscule compared to my actual experience.

Over the years lots of companies have made what were obviously terrible choices.

To me HBO Max going to "Max" was almost on par with Coke changing the formula to new Coke.

So few companies have the courage to actually reverse from bad ideas, it's great to see HBO is willing to admit that was a bad idea and just go back.

Shame on anyone that thought the tariffs were permanent - they were always a negotiation tool, and now serious negotiations are underway.

We can only judge if this action was successful or not by what comes out of those negotiations, so don't believe anyone that is telling you which wide won or lost. The real negotiations have only just started.

Fusion is cool and all but fission alone comes so close to the promises of fusion in terms of power delivery, we've not even come close to reaching the full extent of what can be done with nuclear fission today!

One thing I was thinking of recently, is that maybe foldable phones could solve two issues for Apple at once.

They want to push 3D headsets for spatial computing, but these are really expensive currently when done well, and it's a lot of effort to drive down costs.

Meanwhile that's always an aded expense to other things you need other than have, like a phone.

But what if a cheaper version of a 3D headset, used the foldable nature to work better as the display part of a 3D headset?

That is to say, you would be able to slot a phone into something like the Vision Pro, and use the phone screens as the screens for the headset.

It would fit better on your face folding since it would wrap around your face better. The optics might be a little odd but I'm sure they could be adapted for.

The headset would still have it's own processing and camera/sensor hardware for passthrough.

Essentially it would be a super-high end take on Google Cardboard... and Google Cardboard did work so the idea has some merit.

I do not see current "AI" technology as being much of a threat to STEM fields because ultimately our fields concentrate on understanding concepts and using that knowledge to do things that nobody has done before or apply those concepts to new situations.

I wouldn't be so sure of that, given the impact that AI has already had on computer science. I think it's already impacting CS enrollment.

Current "AI" does not understand concepts at all, it is a predictive text engine who can parrot its training data to make it sound like it understands concepts but really does not and, because it relies on its training is not great at coming up with completely new things or dealing with new situations.

I can't help but wonder if human intelligence isn't pretty much the same thing - a predictive pattern-matching engine running on a biological substrate. Let's just say that I suspect that we may be closer to AGI than many people believe. We shall see.

Instead of that, realistically they should just get rid of TSA now. The cameras around the airport are enough to scan the faces of all travelers. Scent detectors like you list can be put in toilets and around the airpots to narrow in on travelers with suspicious smells. And the scent/facial scan in restroom stalls means bathrooms can double as detainment centers, locking down the room when soemthing bad is detected. :-)

Repetitive stuff is not new. I've used Lex and Yacc to write code that writes code, and Perl, and bits of Java and Excel...
The lazy programmer always sees a lazy way!
Funny thing. I actually understood every line, and I could explain it all to anyone who asked.
btw. This used to be the book.
https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2F...
Not sure if this is what everyone reads today.

You'll have a code base and not 1 employee who understands it.

Here's a list of the actual ships coming in, yes lower the first week of May, but then only down 12% next week, then up 56% (YES 56%! All YOY) the week after (May 18 -24).

Just in case you don't speak native shipping schedules, a deal is almost made with China and so normal shipments are already scheduled in, plus extra to account for the slow weeks.

In case you couldn't follow that, no empty shelves.

One might also argue that we're but years or months away from labeling a college graduate as nothing more than someone who hopes their $60K+ investment in a Bachelors of Artful Scamming is going to be valued outside of a college campus marketing bubble.

As an engineering professor, my prediction is that the economic value of a liberal arts degree is going to fall nearly to zero by 2033 at the latest.

My reasoning: the kids who started using ChatGPT to cheat on everything are currently in 8th or 9th grade. Give them 7 or 8 more years, and they'll be graduating from top tier colleges with reading, writing, and reasoning skills that have barely advanced past elementary school. Then companies are going to interview (or hire) them, and the jig will be up, so to speak.

It will be an apocalypse for liberal arts education everywhere. Ivy League universities will find that no one wants to hire their functionally illiterate graduates. And in fact, it will make more sense to just use an AI that by 2033 will be far more capable than most college graduates.

The end isn't quite as close for engineering. No amount of ChatGPT cheating will help a student pass an exam in (for example) circuit analysis right now. But in the long run, no degree program is safe.

I switched to Bing long ago - but only on phones.

It usually works OK, or at least well enough - the once exception I found was any kind of coding question, where Google was just better at funding out of the way stuff that was relevant.

But these days, if Bing fails in that regard, you can just use AI and it will often find those kinds of resources to draw from.

Of course, what happens in the future as technology advances if people stop contributing to places like StackOverflow and the sources AI uses to provide answers dry up... I don't think AI will work very well in a world where no-one knows anything.

A) Number of container ships from China now higher than May of 2023 or 2024 (using a rolling 15 day window).

B) The ships are reportedly not as full but that's because China is washing products through other countries to avoid the tariffs (transshipments).

I do wish people would pause for even a moment to try and figure out the real situation before posting outright lies. But Slashdot gonna Slashdot I suppose. Good thing I'm here to fix people's erroneous reporting.