It wasn’t so much that it was put in stuff that wasn’t useful it was more that it was put in stuff that needed something better than Bluetooth but they put in Bluetooth because it was new and shiny rather than old boring radio.

The problem with Bluetooth, especially back then, was that the range was terrible (about 1 ft in my experience), you couldn’t connect to more than one thing at a time, it consumed quite a lot more power than radio (we have ultra low power modes now), and the bandwidth wasn’t great either (still somewhat the case but the bandwidth has improved). So you had things like Bluetooth car keys which were like keyless entry systems we have today, but rather than using radio they used Bluetooth so half the time you’d go near your car and nothing would happen.

A lot of the cases where things used to have Bluetooth now use Wi-Fi today. Of course there were always things that had Bluetooth for a gimmick, but the vast majority of it was simply things that had Bluetooth when something else would have been the better option. Back then Bluetooth headphones were seen as a gimmick because they basically didn’t work, now they work, so they’re not a gimmick anymore. The perception of if something is or is not a gimmick is more about if it works rather than if it actually is a useful product.

Yes? Maybe the battery was left uncharged, or used up, so you’re waiting to do more cleaning. Why shouldn’t you be able to check?

I have an automation in my Home Assistant setup to notify me when batteries need to be replaced or charged. Currently it’s only for the smart devices in that deployment, but yes. I want my home automation to keep track of all batteries, so I can see status at a glance and be reminded if one needs attention

I saw a Bluetooth toothbrush that send reports to your phone on how good you brushed your teeth, like wtf?!

If you don’t pay your monthly vacuum fee, Hoover will turn it off remotely.

What’s that but another opportunity for a different AI to assess security strength?

I think this is a good way to explain that VR today is no longer just a fad. It’s had its hype cycle and disillusionment, and now it’s on to the plateau of usefulness.

The term has been stolen and redefined . It’s pointless to be pedantic about it at this point.

This is such a half brained response. Yes “actual” AI in the form of simulated neurons is pretty far off, but it’s fairly obvious when people say they AI they mean LLMs and other advanced forms of computing. There’s other forms of AI besides LLMs anyways, like image analyzers

In 2022 AI evolved into AGI and LLM into AI. Languages are not static as shown by old English. Get on with the times.

You’re using AI to mean AGI and LLMs to mean AI. That’s on you though, everyone else knows what we’re talking about.

In a sound receiver? A lot! In a toothbrush? FML!

It will take the market by storm, just like NFT with bored apes.

I’m a developer with about 15 years of experience. I got into my company’s copilot beta program.

Now maybe you are some magical programmer that knows everything and doesn’t need stack overflow, but for me it’s all but completely replaced it. Instead of hunting around for a general answer and then applying it to my code, I can ask very explicitly how to do that one thing in my code, and it will auto generate some code that is usually like 90% correct.

Same thing when I’m adding a class that follows a typical pattern elsewhere in my code…well it will auto generate the entire class, again with like 90% of it being correct. (What I don’t understand is how often it makes up enum values, when it clearly has some context about the rest of my code) I’m often shocked as to how well it knew what I was about to do.

I have an exception thats not quite clear to me? Well just paste it into the copilot chat and it gives a very good plain English explanation of what happened and generally a decent idea of where to look.

And this is a technology in it’s infancy. It’s only been released for a little over a year, and it has definitely improved my productivity. Based on how I’ve found it useful, it will be especially good for junior devs.

I know it’s in, especially on lemmy, to shit on AI, but I would highly recommend any dev get comfortable with it because it is going to change how things are done and it’s, even in its current form, a pretty useful tool.

I’m yet to see it actually be used by anyone.

None of your programmers are using genAI to prototype, analyze errors or debug faster? Either they are seriously missing out or you’re not following.
I think the “AI will revolutionize everything” hype is stupid, but I definitely get a lot of added productivity when coding with it, especially when discovering APIs. I do have to double-check, but overall I’m definitely faster than before. I think it’s good at reducing the mental load of starting a new task too, because you can ask for some ideas and pick what you like from it.

I think it massively depends on what your job is. I know quite a lot of people at work use AI to to draft out documents, it’s a good way to get started. I also suspect that quite a lot of documents are 100% AI since we have a lot of stuff that we write but no one ever reads, so what’s the point in putting effort in?

I tried to use it to write some documentation for various processes at work but the AI doesn’t know about our processes and I couldn’t figure out a way to tell it about our processes and so it either missed steps or just made stuff up so for me it’s not really useful.

So it works as long as you don’t need anything too custom. But then we have engineers that go out to businesses and presumably they don’t use AI for anything because there’s nothing it can do that would be useful for them.

So right there in one business you have three groups of people, people who use AI a lot, people who’ve tried to use AI and don’t find it useful, and people who basically have no use for AI.

The problem with GenAI is the same as any system. Garbage in equals garbage out. Couple it with no tuning and it’s a disaster waiting to happen. Good GenAI can exist, but you need some serious data science and time to tune it. Right now that puts the cost outside of the “do it by hand” realm (and by quite a bit). LLMs are useful given that they’ve been trained on general human writing patterns, but for a company to be able to replace their functions with highly specific tasks they need to develop and push their own data sets and training which they don’t want to spend the money on.

I’d love a boosted Clippy powered by AI! It would have incredible animations while sitting there in corner doing nothing!

So. You would have to be what 5 meters max to talk to him? What does that even mean?

Didn’t they say “bing it” at one point CSI or something

I did a rewatch not too long ago. Yeah the paid advertising is a bit cringe now but the show itself holds up very well.