Are you sure? There's so much money tied up in circular loans and IOUs based on potential profits that I'm not sure they are.

For example: NVidia invests billions into OpenAI and Anthropic, who then use that money to buy NVidia products. Has NVidia actually made any money, or does the "demand" for the product simply drive up the speculative stock price?

=Smidge=

Yes, but not for you and me. Graphics designers have been using stylus-displays for years and years, because it's great to draw on the thing you are making instead of drawing on a different surface like a Wacom.

But I'm like you, I don't have a use case for a touchscreen and if you touch my notebook screen I'll be angry because I prefer it without fingerprints, thanks. So my first question is: Do they offer this thing with OLED but without touch? I guess not. Pity.

I've been slowly moving towards my dream setup: Solar panels, battery, EV car, island mode capability. This is one thing that'd be a factor in my buying decision. Using your car as a battery or secondary battery is a big plus, and if they built the necessary equipment to run independent of the power grid, it'd come in a neat package.

While power failures are rare where I live, I expect them to become more common with the move to renewable energies. I support that, but it's more fragile than constantly running power stations. So being able to run your home at least for a few hours on your own energy is something that I consider a good idea.

Why spend even more money on more equipment that you have to store and maintain, and buy increasingly expensive fuel for, when you can dual purpose what you already have?

That's assuming you can even get fuel of course. When Sandy hit (last big hurricane in this area) most of the gas stations around here were inoperable for the first day or two because - you'll never believe this - but fuel pumps ALSO need electricity and there weren't enough generators rentals to go around. The stations that were operating over the next few days quickly ran out because the depot infrastructure, located on the shoreline, was damaged.

So sure, all you need is a generator, and an entire evening to wait in line for your rationed fuel hoping they don't run out by the time you get to the pump. So easy and much more convenient than just running an extension cord to the EV in your garage, which also runs silently, indoors, all night if you want.

If you want to go full prepper mode buy some solar panels and lay them out in the driveway or lawn. Even a kw or two worth (about 4-7 panels) would be able to easily cover your daily emergency needs with an EV battery to store it in.
=Smidge=

The run time will obviously depend on the size of the battery, which will likely be available in at least two sizes. I'm willing to bet you can also set reserve limits so the truck doesn't completely discharge itself, and that further limits the run time.

Battery capacity has yet to be announced though.

All that said, I'd say at least 30kwh which will keep most homes running 2-3 days without any change in usage habits. With some very conscientious usage you can probably get a week out of it.
=Smidge=

You missed the point.

A friend of mine made a tea-timer app for the iPhone. Where you enter what tea you are making and it sets the correct number of minutes. Today, people would ask ChatGPT before they go on the App Store to search for something like that. That's the point. Not what YOU would do, but what the general public does. And for Jane Doe, ChatGPT has replaced a lot of these specialty apps.

Skills are great until they aren't. The problem is exactly what you say: You can literally create a skill by telling the LLM to create a skill. Which is... why the f do I need to make a skill if the AI already knows how to do it?

Properly created skills, that include reference material, specific instructions, and expert knowledge the LLM doesn't have or that's buried somewhere under 10 layers of reddit posts is genuinely useful. But most skills aren't. I'm constantly underwhelmed by hyped-up skills that, when I look at them, turn out to be bland, basic instructions.

well, their chips are coming out of a foundry after all...

Not sure about the assembly of small electronics. It looks like that's still a fairly hands-on, manual process.

One of the barriers to automating the assembly of commodity microelectronics is that the revisions iterate fairly quickly. It's difficult to build an automated assembly line that can handle those changes. It usually just ends up being easier to have a person do that assembly work if the product is going to change in a few months and it would take a couple of months to retool for the change.

A broken clock might be right a couple of times a day.

Unless of course someone rips the hands off. Or if it's a digital clock that simply doesn't display anything. Or probably for a bunch of other possible reasons.

MTBF calculations are a bit of a scam in of themselves.

...is normally preferred with a good, crisp apple.

But again that's backwards. I let my AI coding assistant write tests exactly so that I have a reproducible, deterministic ground truth that I can inspect for logic errors. If you let the AI do the testing directly, it's a toss-up if today it feels like it or it decides that your desired result is "everything green" so it'll just give you that answer without actually testing anything.

LLMs obviously aren't human. But that's not the point. The point is that you don't need to know a programming language to program a computer.

For example: Especially in the early days of smartphones, there were mountains of small tools that did something that's essentially a simple script. Egg timers, remind-me-tomorrow apps, tons of stuff that's basically a wrapper around a web search, and so on. Almost all of those are today something ChatGPT can do, and are easy enough to describe.

I've actually outsourced the first iteration of that to AI. :-)

At the end of coding sessions, I generall ask it to spin up an adversial agent whose task it is to find flaws, inconsistencies, mistakes, bugs, etc.

I'd still strongly recommend to anyone shipping AI-generated code to have a thorough human code review, but for a first pass at surface level, the AI can check itself if it has some kind of separation between the generator and the reviewer.