Originally Posted by dcuny
One of the many problems with AI is that it doesn't actually create - it merely recycles.
Today, this may or may not be universally true; I'm thinking it's not true but of course it comes down to how one defines "create". And with advances in AI coming ever faster and faster, even if this is true today, it will unlikely be true "tomorrow".

There are AI systems in existence today that are designed to create/discover scientific hypotheses that humans alone haven't been able to create. Today's scientists and engineers collect far more data than is possible for humans (alone) to analyze and interpret. Properly trained and programmed computers can crawl thru terabytes of data and discover relationships amoung the variables at ever increasing speeds and usefulness. In fact, AI systems capable of generating hypotheses go back to the 1980s.

It has also been suggested that a category of Nobel (or other) Prize be set up specifically to award AI bots or AI/human collaborations when meaningful discoveries are made . . . stay tuned.

"In science, experimentation and hypothesis generation often form an iterative cycle: a researcher asks a question, collects data and adjusts the question or asks a fresh one. Ross King, a computer scientist at Chalmers University of Technology in Gothenburg, Sweden, aims to complete this loop by building robotic systems that can perform experiments using mechanized arms. One system, called Adam, automated experiments on microbe growth. Another, called Eve, tackled drug discovery. In one experiment, Eve helped to reveal the mechanism by which a toothpaste ingredient called triclosan can be used to fight malaria."
https://www.nature.com/articles/d41586-023-03596-0?utm_source=Live+Audience&utm_campaign=61e730f65f-briefing-dy-20231121&utm_medium=email&utm_term=0_b27a691814-61e730f65f-49938064

I predict we will see many more applications similar to this in the near future; this is the good side of AI.

PS> You never know what might be lurking in your toothpaste smile

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