People in security and computing have been saying for years - there's no cloud. There's just someone else's computer.
Right now, there's no AI. There's just someone else's work.
Stop calling generative text and image programs AI. It's inaccurate and insulting. They are just the evolution of corporate creative theft that's been going on as long as media corporations have existed.
@ianrosewrites But there is an opportunity here...turn someone else's work into your work.
I encourage all organizations to self-host their own servers and provide their own data to training models.
That's the best way to get ahead.
One view of "cloud" is, its just a bunch of computers you rent.
Yes. But... you can rent very quickly. Order five more servers for your own basement, it will take days, if not weeks. Order them from your cloud provider, and you have them within some (single-digit) minutes.
When servers arrive in your basement, you'll commission them by plugging cables. In a cloud environment, you comission via software APIs you access.
😲 The scales are dropping from my eyes
Is that an invitation for more or a mock?
If the first: Being able to provision servers (and more) via software was at the heart of the "DevOps" revolution. Manual labor in server rooms replaced by automated processes. We no longer install new software versions on top of old ones manually, but throw out the whole existing thing and start all over from baseline automatically. This has boosted quality, and (surprisingly) reduced downtimes. A fun life I recently retired from.
@dj3ei it was truly a discovery moment. I always just assumed that the 'cloud' was some kind of cloud. In fact i didnt think about it. So truly to discover that a 'cloud' is just someone else's computer was a new thought for me.
Having said that, you lost me on the rest. Outside my comprehension zone. But thanks for trying., ☺️
You're welcome. I love explaining stuff.
For one (striking) example how that all works: German Rail (Deutsche Bahn = DB) got rid of their own pre-cloud computing center they had and instead now rent computing resources "in the cloud", in their case, from Amazon and Microsoft. The software that gets run is DB's, the computers it runs on are those cloud providers'. (DB was my employer before I retired some six weeks ago.)
@ianrosewrites The work that is fed into these neural networks for training isn't stored in anything close to its original format. It is radically transformed. If you want to fix the nature of our exploitive economic system that's one thing, but artificial learning is still as much learning as an artist studying and practicing their craft.
Fighting these made up problems only benefits the big corps. Fix the underlying problem. Your hate for them is blinding you. And they love it.
@toriver So let's treat trainers and teachers fairer. Better yet, we should help them unionize. Let's raise hell with our local/state/federal representatives about implementing UBI.
ChatGPT is very adept at helping you write letters to your representatives. And physical letters catch more attention than you might think.
So, if I play a game of #chess against #Stockfish , is it stealing moves from human chess players (none of whom would be able to beat Stockfish in a match)?
@ianrosewrites For that matter, if I play Dwarf Fortress Classic, who actually wrote the "generated" world?
The obvious distinction is that current generative AIs are a lot worse at producing "artistic" writing than good human writers, whereas Stockfish is much better than any human chess player.
@ianrosewrites I think it is more then just copying. This paper has a lot of great examples https://arxiv.org/abs/2303.12712
I agree that the media and hype is annoying. But this is just repeats every 2 years or so with a different thing :)
Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4, was trained using an unprecedented scale of compute and data. In this paper, we report on our investigation of an early version of GPT-4, when it was still in active development by OpenAI. We contend that (this early version of) GPT-4 is part of a new cohort of LLMs (along with ChatGPT and Google's PaLM for example) that exhibit more general intelligence than previous AI models. We discuss the rising capabilities and implications of these models. We demonstrate that, beyond its mastery of language, GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting. Moreover, in all of these tasks, GPT-4's performance is strikingly close to human-level performance, and often vastly surpasses prior models such as ChatGPT. Given the breadth and depth of GPT-4's capabilities, we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system. In our exploration of GPT-4, we put special emphasis on discovering its limitations, and we discuss the challenges ahead for advancing towards deeper and more comprehensive versions of AGI, including the possible need for pursuing a new paradigm that moves beyond next-word prediction. We conclude with reflections on societal influences of the recent technological leap and future research directions.
@ianrosewrites I agree with your sentiment, but it *is* AI. Neural networks and their derivatives are classified under that name.
It *is* mass theft of property and labor, O agree.
Artificial: made or produced by human beings rather than occurring naturally, especially as a copy of something natural.
Intelligence: the ability to acquire and apply knowledge and skills.
It seems to fit this definition. If you tackle "knowledge" under the "understanding" portion of the definition and further down the hole into "comprehension", then I suppose I see a debate. It all seems like semantics to me though.
#ai
@Uberuser @ianrosewrites That's a VERY Merriam-Webster definition of intelligence, tho.
It's not really considered THAT clear cut; we've not quite managed to give an objective definition as of yet - hence why "AI" is a misnomer. To quote a MENSA friend: "High IQ means the ability to score highly on IQ tests"
The discussion on what intelligence IS is ongoing. Until we atleast have a scientific consensus on that, we might want to avoid the term "AI" altogether
@ianrosewrites Can't say I agree with it being someone else's work, other than the AI architects'.
AI models can output completely original concepts, as directed by a human. The human supplies the originality, and the AI creates the work having learned the 'basics' of the job.
There isn't some hidden passage of text or a hidden image it is regurgitating, other than in rare cases.
And there is open source AI that is freely available.
@ianrosewrites
“There's just someone else's work.“ is exactly it.
That said, in the spirit of “Everything Is A Remix” there may be a way to get to an OK way of integrating this stuff. But we ain’t there yet.
Surprising how many replies harp on about "but humans steal too". That's completely missing the point because humans aren't megacorporations ...
@ianrosewrites "there's no creativity, there's just someone else's work."
It's funny that you using analogy to preach is basically a fancy autocorrect.
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