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Is General Artificial Intelligence a Breakthrough or just a Financial Hype?

HKPhysicist

According to my understanding, AI hype big corps spend a whole country's energy resource to produce learning software and hardware which can do a very little things for us.  Laughing

On the other hands, a parrot can learn how to talk with men with just a few grams of nutrition.  Also, my little puppy learnt how to do simple house hood things for me in just a few minutes and a few grams fo nutrition. Blush

Which one of these examples are more intelligent and energy efficient?

Had we better use those astronomical sum of money and resources on investigating deeper natural laws such as room temperature superconductivity, novel material and crystal, higher energy experiments beyond the Large Hadron Collider, nuclear fusion experiments, etc.?

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  • in reply to HKPhysicist

    That's another problem with generative AI; The output is derivative. And once the input becomes the output of another model, you start seeing a steady decline in quality. It's a lossy process. Like compressing a JPEG, and then compressing it again, and again, and again. Eventually the image would be a mess of blurry blobs and nothing like the original picture.

    Part of this has been shown to happen already in the world of programming with code-oriented LLMs; Several studies were published last year like this one,  this one or this one. All seem to agree that while the speed at which programmers are writing code has increased with the help of AI, the quality is decreasing fast.

    What can be seen as a problem of entropy, is another major problem with that technology. Most people assume that AI "can only get better", when in reality, as human input gets diluted in a sea of AI-generated training data, it may actually get worse and worse.