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Using AI to critique your photos

nikos79

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I agree with Tesla but the real world is not easily simulated. That is why I mentioned "immersion" for AGI. By the way autonomous driving in any environment is largely linked to AGI due to how challenging of a problem it is.
But for the math problems you are wrong, it didn't solve them with calculations it solved them with reasoning that's why it was so impressive.
As for chess you are right, although you are missing a crazy point. The computers who learnt to defeat humans and redefined whole chess openings from scratch were trained by playing only with themselves only by knowing the set of rules and nothing more. They also achieved it in half an hour. From zero to mastery. That goes beyond computations. This is mind-blowing
 

MurrayMinchin

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AI side note:

My wife searched "reindeer" in Mac Photos and this came up...our Yorkie wearing a Christmas sweater sporting antlers.

Close, but...

 

warden

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It sounds like you're using AI as a search engine for the most part, and as such it's certainly an outstanding one. I partly use it that way as well. And of course it's not human, which is as it should be, and why it's such an effective co-conspirator; It doesn't get tired, frustrated, distracted or drunk like humans do. (And that's also why autonomous vehicles are already safer than human drivers even though the systems are in their infancy.) Use AI with the prompt "Are autonomous vehicles safer than vehicles driven by humans, and if so, why. Please cite your sources."

It's not innovative or creative because it doesn't really have a mind.
I suppose someone is about to break out their dictionary and look up these words but my experience has been that AI is both wildly innovative and creative. It creates. It innovates. It doesn't need a mind for that, even though it can't do its tasks without you and leveraging outside resources. You, as the human interpreter and managing partner, can use its output to steer it and yourself to accomplish goals. You may not experience this if your use of AI is basically a super-search engine, but if you branch out from there I imagine you will.
 

nikos79

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We may have to discuss what 'reasoning' is - and what isn't. Not all association is reasoning in my book. If you said "association", then I would have agreed.

Very good point as usual.
It is not associations but I see what you mean it is not reasoning in the sense that they know what they are doing or applying logic as humans do.
It is more a “closed system” you give it the formal rules and then by applying them it can lead to conjectures or theorems sort of as called “symbolic reasoning”
 

MattKing

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But it can't drive a Tesla without getting into an accident?

The same might be said by the population of human drivers that have already tried, and definitely failed.
 

Pieter12

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The tesla lacks the appropriate sensors for it to really drive autonomously. AI is the least of its problems.
 

warden

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The tesla lacks the appropriate sensors for it to really drive autonomously. AI is the least of its problems.

We have autonomous Waymo Jaguars running around the city now. It’ll be interesting to see how well they do. Here It’s chaotic driving for sure. Anarchy, really. It will be a good test for a Waymo.
 

Pieter12

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We have autonomous Waymo Jaguars running around the city now. It’ll be interesting to see how well they do. Here It’s chaotic driving for sure. Anarchy, really. It will be a good test for a Waymo.
We have had Waymos for quite a while here. The biggest problem (besides all the noise at the charging depot) is they pretty much strictly obey traffic rules unlike human drivers, often holding up traffic to make a left turn--they won't go into an intersection if the car hasn't determined it can safely clear it before the light turns red.
 
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Alan Edward Klein

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But they don't drive safer, and they've been at it for years. And driving seems to be less than trying to create something or be innovative, where AI has to "think" outside given parameters, as there are with driving.
 
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Alan Edward Klein

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We have autonomous Waymo Jaguars running around the city now. It’ll be interesting to see how well they do. Here It’s chaotic driving for sure. Anarchy, really. It will be a good test for a Waymo.
Do they run on rainy or snowy days when the street lines are covered? Night? Are there other limitations of where, when etc they can;t run?
 

Pieter12

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Do they run on rainy or snowy days when the street lines are covered? Night? Are there other limitations of where, when etc they can;t run?
Well, with the recent major blackout in San Francisco, they all came to a halt. Seems they couldn't deal with traffic lights being out among other things. And as of now, they aren't on the freeways except with a driver behind the wheel.
 
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Alan Edward Klein

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Well, with the recent major blackout in San Francisco, they all came to a halt. Seems they couldn't deal with traffic lights being out among other things. And as of now, they aren't on the freeways except with a driver behind the wheel.

What about when it rains or snows?
 
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Alan Edward Klein

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Rain is no problem. Can’t say about snow, it doesn’t snow here.

Well it snows in a big part of the country. What happens there? Can these programs navigate with obscured lane lines, crosswalks, low visibility, etc? Or do you need a dog sled?
 

Sirius Glass

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Regardless of the learning principles based on which examples and their order remain the same. AI can only be as good as its learning material and order of its presentation.
 
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nikos79

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Regardless of the learning principles based on which examples and their order remain the same. AI can only be as good as its learning material and order of its presentation.

There is a small truth to that in the old saying in the AI world “garbage in-garbage out” but the misconception that it is only as good as its data seems to linger even in many of my programmer colleagues.

Let’s do a small test. I asked the free non latest version of ChatGPT the following:

“Can you imagine a photo camera that works with a new technology neither analog nor digital?”

I assume that this was not present or formulated in the data as it is and it had to be some new original synthesis among the patterns. Here was the output (sorry for its length):



The “Cognitive Camera”
  • Capture principle: Instead of using film or pixels, the camera records light and spatial information as patterns of neural-encoded thought — essentially storing how the scene feels and interacts with attention.
  • Image formation: The photographer “frames” the scene with intention and gaze, and the camera interprets the visual field along with context, emotion, and conceptual focus.
  • Output: The resulting image is not a static photo but a dynamic projection: the captured scene can shift depending on who is viewing it, highlighting details differently for each observer, almost like a living photograph.
  • Controls: No shutter speed or ISO; instead, you “tune” your mental focus, adjust conceptual parameters (contrast of ideas, emotional depth), and the camera interprets these inputs into the light-matter interaction.
  • Special feature: The camera can merge multiple photographers’ perspectives, combining their intentions into a composite “multi-conscious” photograph — almost like a collaborative dream image

Why it’s plausible (science-fiction-meets-future-tech)
  1. Quantum / light field sensing: Could theoretically measure phase, polarization, and coherence patterns of light beyond classical imaging.
  2. AI / brain-computer interface: Could integrate intentional patterns from a human mind to guide image formation.
  3. Dynamic display: Using augmented reality, holography, or light-field projection, the “photo” could respond to the observer, unlike any analog or digital still image