When I give programming questions in an interview, I always say, "you can write the solution in any language you feel comfortable in" because the point is just to confirm that they know how a computer works, and can simulate the local state of the computer in their mind. "The variable is initialized with 0, and then after the first loop it contains 3," etc. I also usually ask them a question that involves figuring out the volume of a cylindrical tank, and I say "pretend I'm google if you need to look something up", not because I want to know that they can use Google, but because I want to know if they grasp the concept that volume is base times height. There are a surprising number of people who apply for programming jobs who have zero spatial sense, and certain aspects of this job require it. Heck, I interviewed a graduate of an electrical engineering program who couldn't convert an answer from A to mA. You can't just not ask technical questions in interviews. A surprising number of people get through life without a solid understanding of how the world works within the confines of their own field.

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.

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.

That's just the broccoli2shell that also affected Node, Python, and a bunch of other systems: https://broccoli2shell.com/
An issue also raised last Wednesday.

In the long term being a dental hygienist (in the USA) is going to suck just as much as being a nurse at a corporate hospital. The same PE firms that destroyed our large clinics and hospitals are buying up the dental practices and turning them into scam machines that sell people fillings for cavities that don’t exist. Give it ten years and dental hygienists will be working six days a week for less than what Buc-ee's pays.

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.

Personally, after some experimenting, I've concluded that:

• AI is good at implementing known algorithms.
• AI is good in creating code that flows straightforward from a design document.
• AI is good at code reviews and finding bugs.
• AI (unlike me) doesn't mind writing a few hundred tests.
• But, it tends to over-engineering simple tasks to the point of "why does Hello World need enterprise-software levels of abstraction?"
• It struggles with code that doesn't have a known solution.
• It's difficult to get it into a different lane once it started going down the wrong way.

What I use it for these days is rapid prototyping. Using AI I can make a functioning prototype of an idea I have in a few days instead of a few weeks. I can quickly test out an idea for a feature or change in my existing codebase.

What I also have been using it for a while is as a code-reviewer and for someone like me who is mostly working solo, that's an insanely valuable thing. Not just the bugs themselves, but also the ability to discuss code with someone. Basically, AI is a rubber ducky that replies.

Mickeysoft lost the plot again.

The game-changing element of LLMs and agents is that they have a non-computer-language interface - you can talk to them in plain English (or Chinese or whatever). This makes complex computer interactions available to a much wider audience than any previous computing invention. Adapting humans to the AI is getting that backwards. It's a sign you don't understand the first thing about why AI is so widely successful.

I predict this will be an abject failure and a year from now will quietly be pushed to the very back of the bottom-most drawer, never to be spoken off again (though it is getting crowded in there for M$).

Meanwhile, in the real world, everyone I've talked to about these things already has a skills file to teach the AI about their personal coding style. This is what actual humans came up with, independently several times, and it works: Adapt the AI to you. Plus we've been writing coding style guides for humans for a long time now, we've got plenty of experience doing that at least somewhat right.

It doesn't store the information is blockchains.

If Alphabet thinks that people in Maryland, Virginia, and DC are going to leave off their air conditioning in August for a paltry payment to keep data centers running then they're fucking insane. Not using much power when it's 105 degrees and humid outside is not something most people will do so Gemini can summarize other people's email.

They were invited to join at the end of the cold war, and they kinda did, or at least they made advances in that direction. But I think Russia just didn't have the institutions in place to be able to follow through, and China did just enough to gain some advantage from free market reforms without also implementing the social freedoms that we thought would inevitably go along with it. You're talking about a society (Russia) where their cultural belief could be summed up as "endless suffering" and another society (China) where it's very low-trust. It was our folly to think you could build a western-like liberal democracy on top of non-western ideas.