

Its an exaggeration but losing control of one or both would slow his ability to cause harm significantly. Certainly not stop it sadly.


Its an exaggeration but losing control of one or both would slow his ability to cause harm significantly. Certainly not stop it sadly.


Three main counterpoint to this.
Why would it fade, even if they never changed somehow their capabilities would be frozen, not degrade.
The open source community also works wonders, people who care about stuff like this will collectively spend millions of hours working on it.
Finally, those older but still highly capable models have become explosively more efficient in the past several years, I saw a figure that models from 2 years back are now 280x more efficient (cheaper to run) than they were when released, there’s no reason a company couldn’t field one of these, work on it slower and more conservatively, and profit from it.
Why do you feel it would be entirely different in any of those scenarios, what did you have in mind there? Some specific use cases it would lose perhaps?


Its no different from any other tool really, you don’t pick it up and immediately master it, you learn what it is and isn’t good at and ideas come over time as you go about your life and you wonder if problems that might previously not have been worth even trying to solve could be worth throwing at this new tool.
I used it to get a overview of the most popular tracks in a specific genre in a specific city 20 years ago by pulling set list data from various places on the internet the other day. Incredible results.
Trivial but very useful to me, as someone who spends a lot of time looking for new music.


You’re confusing AI with OpenAI.
They, anthropic, others, are constantly pushing and over-extending, but theyve already long since by passed models that are useful for various tasks. Certainly not everything, but if the big players died tomorrow you could run a local model on a gaming GPU that would still do decent amounts of work if you were the kind of person who had a use for it.
Not everyone is, and thats ok.
I find chatgpt very useful for work, but id be cool with them failing and having to downgrade. Models already did what I needed well enough a year ago, maybe a bit more.


One in eight people globally use an AI app, not just something that happens to include an ai feature like Google search, on a regular basis.
There are definitely still going to be pockets totally not touching it, and that will probably continue for a long time, but its very much soaking into global society.
https://datareportal.com/reports/digital-2026-global-overview-report
None of that means you should be using it, just pointing out that your immediate social group may not be an accurate reflection of reality.
Like as a counter anecdote - my gran has used it - and i feel like when old people get to a tech its approaching ubiquity, Facebook being the primary example I have in mind.


You must admit, a lot of people think the bubble bursting will be the end of the technology. I see that sentiment a lot on here.


Thats valid but likely not the only way you’re capable of doing it, just the way you’re used to.


Thats the skill, finding them in review.
Its valid to think that sucks and is perhaps less enjoyable than doing it yourself, but I think a lot of things are going to head that way over the next decade or so.


Our job is to think of logic patterns that solve problems, not necessarily to manually type them out ourselves.
Its valid that the typing part means something to you, im just saying it is possible to integrate it without turning your own brain off.


Use it to skip the part where you type it all out yourself, and go straight to the part where you review the draft code.
Its not a ‘do my job for me’ imo its predictive text on roids.


No.
?
When you lock onto something really hard in a discussion like this it becomes very obvious you’re faltering and dont really have much to contribute.


Yeah I can tell you dont want to look into it, that comes across very clear 😂


You’re just repeating the same point I’ve just addressed, so I’ll explain in more detail.
Data centres expanding is perfectly compatible with huge efficiency gains per token. If the cost of inference falls, companies can afford to run vastly more inference, serve more users, use larger models and embed AI into more products.
It’s the same reason more fuel-efficient cars didn’t eliminate demand for roads or petrol. Efficiency lowers the cost of using something, which can increase total consumption.
So “if software got more efficient, they wouldn’t need more data centres” is basically backwards. The relevant question is whether total AI demand is growing faster than efficiency is improving.


You can find token energy efficiency information studies online, I was smashed when I pulled that figure out of my arse but the numbers are similarly huge.
They’re already orders of magnitude more energy efficient than we predicted just a few years ago and both the software and the hardware continue to accelerate that.


You’re forgetting that usage can still go up while token cost goes down.
Or rather, efficiency and usage can increase at the same time.


Global solar generation has increased by 50% in the last 2 years, meanwhile a token is something like 900 times less energy consuming than it was a year ago?
Something comes first, almost free energy and deeply embedded ai usage or total environmental collapse, capitalism deems that we will find out which in due course.


That’s middle aged in Europe, they’re endless


Corsodyl mouthwash, according to my dentist, is not supposed to be used every day because it can permanently alter your sense of taste. Corsodyl specifically.
Thats only 1 dentist though you’d have to ask the other 9 to know for sure.


I personally feel like this has always been the case, the scary part is the increased vehemence of the hate-adled minority over the past 5-10 years.
Did you not feel there was room for this in what I said there, or did you just read the first part and already have this response boiling up.
I can appreciate that its a frustrating topic.