@sarahdalgulls I know that generative AI applies a set of rules , and is just a "text rearranger". However, I don't see that as necessary precluding intelligent results, as there are many examples of emergent complexity in mathematics. One example the Mandelbrot set has infinite complexity, yet arises from applying a simple rule to each point. A classic example is the [game of life https://en.m.wikipedia.org/wiki/Conway%27s_Game_of_Life], where different starting states can give different complex outcomes.

So, I would not be surprised if a complex system produced more than you'd expect by just rearranging words. When and if we do create real artificial intelligence it won't be something planned and programmed but an emergence from a complex system, just as our intelligence is an emergence from neurons that fire depending on complex rules. It is likely to be quite different from anything we predicted the system would do, and possibly not obvious as intelligence at first.

#ai #emergentbehaviors #philosophyofscience

Resources and references:
* History and documentation: https://wikipedia.org/wiki/Poietic_Generator
* Research on creative behaviors: https://arxiv.org/abs/1612.08657
* Source code: https://github.com/poietic-generator/poietic-generator-v5
* Online version: https://poietic-generator.net

Keywords: #artificialintelligence, #emergentbehaviors, #generativeart, #complexsystems, #collectivecognition, #cognitiveart, #openscience

@nic221 Thanks for posting this. There's so much focus on the shortcomings of #AI #LLM but the #EmergentBehaviors are what's truly amazing.

137 emergent abilities of large language models — Jason Wei https://www.jasonwei.net/blog/emergence (interesting) #AI #LLM #EmergentBehaviors

The Unpredictable Abilities Emerging From Large AI Models | Quanta Magazine https://www.quantamagazine.org/the-unpredictable-abilities-emerging-from-large-ai-models-20230316/ #AI #LLM #EmergentBehaviors