It basically gets longer every few years. At this rate, it’ll turn into an Amazon listing.

USB 3.5 Gen 3 2x2 20 Gbit Two-Sided DP PD USB 3 USB 2 USB 1 Compatible

Had the company paid for the training data and/or left it as voluntary, there would be less of a problem with it to begin with.

Part of the problem is that they didn’t, but are still using it for commercial purposes.

. (Actually, it’s worse than that. Ask me if you want to know. It’s its own rant.)

Mind enlightening us? It could be useful to compare against, for those of us who haven’t used those kinds of apps before.

Video was nicer when you could buy a piece of physical media to watch your movie on.

Even then, you still had to contend with such nonsense as region locks later on. Can’t have people watch the movie earlier than release because the production company decided to delay release a while. That would be apocalyptic.

Or when the network that the car relies on no longer exists. My old e-reader’s mobile connectivity no longer works because the phone company providing the service turned the 3G network off in the upgrade to 4G.

It’s just 17 years old. People tend to keep cars for about that long. What happens then? Does it just become limited to basics only, or become a big metal brick?

A car is also difficult to ignore, compared to something smaller.

A small expensive device that stopped working because the company shut it down is annoying, but you can at least put it to the side and ignore it.

You can’t really do that to a car that has functionally become a paperweight because the parent company has gone under.

Tumblr’s codebase is also both quite old and infamously terrible, even if it’s from being shuffled around companies a bunch.

Centralising its backend into one platform doesn’t like too bad of an idea.

A few car companies seem to be doing that. Toyota(?) here are advertising their hybrid vehicles as “self-charging electric vehicles” instead of a hybrid, even though there’s no way to plug them in and not have them self charge.

It has kind of come with newer laptops being driven to be thinner, and for newer devices, because the old SODIMM format is no longer capable of the throughput/latencies needed for higher speed memory.

From memory, 2.1Ghz DDR5 is where it caps out. Anything faster, like 2.8 GHz either requires it to be soldered, or one of the new formats like the one Dell has started using.

These days, the CPU probably runs Linux on itself.

Storage drive control boards are basically small computers in their own right, now.

Ironically, it’s the other way around, since Apple has to share their RAM between GPU and CPU, where other computers typically have them separately.

So in normal usage with 8 GB, you’re automatically down to 7, since at least 1GB would be taken by the graphics card. More if you’re doing anything reasonably graphics-heavy with it.

Yes. Just as 4GB was barely enough a decade ago.

I usually find myself either capping out the 8GB of RAM on my laptop, or getting close to it if I have Firefox, Discord and a word processor open. Especially if I have Youtube or Spotify going.

Nah. We already have AI toasters, and they’re ambitious, but rubbish.

Adding AI is just serious overkill for a toaster, especially when it wouldn’t add anything meaningful, not compared to just designing the toaster better.

It’s not so bad. You can just treat it as the dimming of the lights/countdown timer you see in theatres, in the lead-in of the film.

Especially for an event that might happen at most once a decade.

It’s not like it happens every other month.

It won’t be long before you end up with language models that suggest ways to break other language models.

It just doesn’t really do anything useful from a layman point of view, besides being a TurboCyberQuantum buzzword.

I’ve apparently got AI hardware in my tablet, but as far as I’m aware, I’ve never/mostly never actually used it, nor had much of a use for it. Off the top of my head, I can’t think of much that would make use of that kind of hardware, aside from some relatively technical software that is almost as happy running on a generic CPU. Opting for AI capabilities would be paying extra for something I’m not likely to ever make use of.

And the actual stuff that might make use of AI is pretty much abstracted out so far as to be invisible. Maybe the autocorrecting feature on my tablet keyboard is in fact powered by the AI hardware, but from the user perspective, nothing has really changed from the old pre-AI keyboard, other than some additions that could just be a matter of getting newer, more modern hardware/software updates, instead of any specific AI magic.

All fun and games until a moth ends up in your transistors.

It’s rather reminiscent of the old days of GPS, when people would follow it to the letter, and drive into rivers, go the wrong way up a one-way street, etc.

I wonder if it would actually materialise, consisting the recent case where an airline company’s AI chatbot promised a refund that didn’t exist, but were expected to uphold that promise.

That risk of the bot offering something to the customer when the company would rather they not, might be too much.

It seems more likely that companies will either have someone monitoring it, and ready to cut the bot off if it goes against policy, or they’ll just use a generated voice for a text interface that the client writes into, so they don’t have that risk, and can pack more customers per agent at a time in.