The AI Battle

https://openai.com/blog/dall-e-2-extending-creativity/

I thought this quote was particularly insightful:

> “Conceptualizing one’s ideas is one of the most gatekept processes in the modern world,” Kamp says. “Everyone has ideas — not everyone has access to training or encouragement enough to confidently render them. I feel empowered by the ability to creatively iterate on a feeling or idea, and I deeply believe that all people deserve that sense of empowerment.”

Images of astronauts on horses may have questionable commercial use or artistic merit, but DALL-E excels at concept art. The true value here isn’t using those images directly, it’s using them to brainstorm and test out creative ideas that can later be turned into something real (a product, a movie, art, etc.) by a human.

If everyone was unemployed then who would buy AI produced output?

“countries engage in international trade even when one country's workers are more efficient at producing every single good than workers in other countries”

“Widely regarded as one of the most powerful[7] yet counter-intuitive[8] insights in economics”

https://en.wikipedia.org/wiki/Comparative_advantage

When comprehension tasks are discussed and researched within the AI field that is a statistical calculus applied to large bodies of text. The comprehension task is to predict follow-on text given starting text, which does not require any comprehension of the content of the text, only statistical probabilities over an extremely large training data set of human written text. This is, essentially, a misappropriation of the use of the word comprehension by AI Researchers - a common practice. The fact that this type of software development is called artificial intelligence and not applied statistical calculus is an example of how successful these appropriations have been.

Quantum computers or not, we still need some type of underlying scientific reasoning how comprehension itself functions.

Consider for a moment, when thinking about a yet-to-be-understood concept, what that activity of trying to understand is composed. A person will decompose complex concepts into smaller concepts, and then mentally create virtual logical versions of these smaller concepts, followed by experimentally, in their imagination, perform trial combinations of the raw concepts to determine if the complex idea can be reproduced. This process is roughly how comprehension is achieved, and it is a universal process human reasoning can apply to any situation. Human science and technology has no such fully transferrable and operational representation of raw concepts and ideas. The closest we have is software, and the closest form of software to something capable of artificial comprehension is… yet to be formally defined. What we call artificial intelligence is not software capable of decomposing complex ideas into smaller concepts because modern AI does not work with the content, the meaning, of the data it is trained, AI works with the landscape the data exists. Modern AI identifies a landscape the data associated with something of interest exists, and through the training of an algorithm that something of interest can be identified, with some level of statistical confidence. All this can and does take place without any comprehension capacity within the software, it is all just sophisticated pattern matching. It’s an idiot savant that can do but can’t tell you how, why, or is even aware it is doing what it does.

Comprehension is the recreation of an observed behavior or event, virtually, within one's imagination, with that recreation composed of the different ingredients that when composed in some new, unique, never before seen manner recreate this observed behavior or event. Comprehension is the process of mentally reverse engineering reality. Modern AI has nothing capable of such a grand calculus.