There are many different types of capacitors, most of which don't contain any liquid at all (including the most common type - ceramic capacitors).
But in general, you would use specially rated components and materials if you need them to last decades - not the cheapest most basic parts you can find.
Other types of implanted devices have dealt with the same things decades ago.
Some already give you a 30% "discount" (i.e. the regular price is just higher) if you sign up for an entire year.
It does - it's also mentioned in the article.
I gave GPT-4 a simple real-world question about how much alcohol volume there is in a certain weight (I think 16 grams) of a 40% ABV drink (the rest being water) and it gave complete nonsense answers on some attempts, and straight up refused to answer on others.
So I guess it still comes down to how often things appear in the training data.
(the real answer is roughly 6.99ml, weighing about 5.52grams)
After some follow-up prodding, it realized it's wrong and eventually provided a different answer (6.74ml), which was also wrong. With more follow-ups or additional prompting tricks, it might eventually get there, but someone would have to first tell it that it's wrong.
The battery life of a typical switch can easily be like 5 years though.
As someone has to mention and program those robots.
Why couldn't an AI do that?
Someone has to create programs and games, someone has to maintain the infrastructure.
Same question.
Youtube videos and streaming became a job.
This will only work because of the parasocial aspect, and there will probably be strong competition from AI there too.
For every thing you imagine, simply ask yourself - will AI be able to do it better?
So far I haven't heard anything convincing where the answer would be "no".
This whole "giving inputs" argument is 100% leaning on today's technological limitations.
With enough advancements, no input you could ever come up with will be able to compete with the automated ones - even if they are working from some very high level goal, like "make something people want" (to give a slightly exaggerated example).
Nobody's going to pay you to utter the phrase "make something people want" (and it's not competitive as a business either).
You are assuming that progress in AI capabilities will stall somewhere close to its present day state. Because today, a professional-made poster will still be better than one you can make yourself. But that won't be the case forever.
This is more akin to how there used to be elevator operators vs. people just pressing a button themselves, or how people couldn't easily book their own airline tickets without going through a travel agent, and now they just order them through a website.
That will not be a marketable skill, if the intended "customer", who just wants the end product, can do all of that themselves.
There are already improvements being made in understanding the intent better, which will eventually render all "prompt engineering" unnecessary and obsolete.
The necessity to tweak prompts will be a very short-lived thing from these early days. At best it will give you an extra year or so.
Similarly if you picture yourself as an owner of a company - you cannot sell something to people that they can just make themselves with zero effort required. Especially in an environment with a million competitors. At best your moat could be the network effects of a large user base, but that's not an easy place to get to.
I try to learn how to use AI
And exactly which part of this process could not be done by AI too?
Which part will still require hiring a human?
If that's the case, they need to stop with the deceptive marketing. Because they are absolutely outwardly promising career opportunities.
They possibly are (or at least have people doing research), it's just not very good (yet?) https://aimodels.substack.com/p/apple-is-working-on-multimodal-ai
Remember the early days of Apple Maps?
Pretty sure these things need to be certified and there are laws about what parts you are and are not allowed to use.
Not saying highly regulated industries don't ever have problems (look at Boeing), but it's not like they can just arbitrarily decide to cut costs wherever.