Fast data manipulation and presentations in human terms does not make it human. That's just an illusion.
Frankly, I think your ideas are dung.'Similar to' is already different from 'same as'. It involves questions like 'similar in which ways', and conversely, questions about dissimilarities.
You're again being wildly inaccurate/loose/nonchalant in how you rephrase things you apparently think are the same, but really aren't. Writing music and performing are different things. The majority of performing violinists don't write music. The majority of violin builders don't write music. The majority of composers don't play the violin. Different things. If you bunch everything together on a big pile, of course you're left with dung. But that's not the fault of reality - it's the fault of the person who refuses to or cannot distinguish between conceptually distinct issues.
Again, sloppy reasoning, bunching dissimilar stuff together resulting in meaningless tropes.
Dung.
Thanks for the correction, if somewhat brutally executed. I apologise for my poor understanding. Actually I think I have grasped the basic idea of neural networks in terms of learning, and the fact that we can’t really ‘see’ what has been learned. What I (evidently) don’t yet understand (but hope you are going to explain) is how the AI engine actually manipulates pixels unless by convolving matrices? Please be gentle with those of us who are eager but struggling to understand.This is a fundamental misunderstanding/misgiving. It's NOT matrix algebra. It's a neural network approach. It is correct that we can't understand the inner workings of the neural network any better than we can understand how a proper biological brain works - which means we can in principle understand it, but the degree of complexity stands in the way of a practically feasible approach of understanding it.
The key difference between matrix algebra and a neural network is that the former is deterministic and pre-determined; the latter by contrast exhibits emergent behavior. If you look at it from a distance and treat both a matrix algebraic algorithm (let's say something like a Markov chain) and a neural network as a black box, they might seem somewhat similar in that they can exhibit similar behavior. However, the inner workings, the way they're 'built'/designed and their capabilities are fundamentally different.
What this misunderstanding illustrates is how deeply rooted the misconceptions surrounding 'AI' are (understandably!) and how difficult this makes it for the present population to intuitively grasp the capabilities of this form of AI. I expect that this will change over time just like the present generations have managed to come to grips with digital technology, the internet etc - all things that the vast majority of people don't really understand thoroughly either, but most of us are fairly well aware of the possibilities and impossibilities associated with these technologies. In a similar vein, I think we'll also come to grips with practical applications of neural networks, and in the near future, quantum computing.
You're free to think that, but given the inconsistencies and sloppiness of your reasoning, I don't attribute much value to that assessment.
Studio car photographers (there used to be a lot of them in L.A.) were severely hurt by the advent of CGI using 3D modeling to create realistic car images. Now lifestyle photographers are getting it from AI. In the commercial arena, traditional photography is going the way of old-style illustration. Plus, tastes change and slick AI and Photoshopped images are what clients and the public are drawn to (pun maybe intended).The local community college that maintained a well regarded photographic vocational training program for decades, recently shut it down. The main reasons cited for that, and what I understand is the predominant trend in the photographic universe, is that AI generated illustration has already basically eliminated most of the market for commercial and illustrative photography.
So we are seeing a massive shift in paradigm. Those sorts of shifts usually bring about huge disruptions, much anguish, and some interesting/unexpected benefits.
Most of us who are older here on Photrio probably aren't well suited to adapting to the change, so it is important for us to get the benefits we can from the niches we are comfortable inhabiting.
Perhaps some did/do, but I'm not sure whether the screaming we're hearing is representative of what 'the masses' think. Looking at the adoption rate of AI (and the other innovations you mention), the screaming is apparently done by either a relatively small majority, or by a majority that screams and at the same time embraces what they're yelling at.
I don;t think much of yours either.
The masses are quite accepting of AI and use it quite a bit, from enhancing photos to answering questions. The iffy part of AI is it is based on data that may or may not be accurate. AI lies are not uncommon.Perhaps some did/do, but I'm not sure whether the screaming we're hearing is representative of what 'the masses' think. Looking at the adoption rate of AI (and the other innovations you mention), the screaming is apparently done by either a relatively small majority, or by a majority that screams and at the same time embraces what they're yelling at.
On the subject of AI art, i happened to be researching some Edward Hopper paintings and noticed a girl on a train with a laptop. As he died in 1967, I wondered how this could be: -
The Night Hack, Edward Hopper painting, 2010
AI Art Generator App. All the best AI models in one place. ✅ Fast ✅ Free ✅ Fun.creator.nightcafe.studio
I kind of like this one I prompted:
I made this one for Alan.
The prompt was ”A depressed photographer is in bed using his laptop to make AI pictures of landscapes.”
View attachment 390312
Only AI would conjure that a person (of unknown gender) propped up in bed with their PC would need a coffee cup with two handles...
Still, that is an improvement on the 6 or 7 fingers that frequently crop up.
Only AI would conjure that a person (of unknown gender) propped up in bed with their PC would need a coffee cup with two handles...
Still, that is an improvement on the 6 or 7 fingers that frequently crop up.
I don’t really see why the AI added coffee mugs at all, given the prompt?
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