AI is revolutionizing not only the entire field of Computer Science, but nearly all fields of Science.
However, while application contexts explode and LLMs display embarrassing cognitive qualities, the entire AI research field seems headed toward saturation of the fundamental ideas that have enabled
today’s spectacular results of large companies. Is the infamous “AI winter” perhaps creeping into research?
In this talk I argue that the time is ripe for a fundamental rethinking of AI methodologies with the purpose to migrate intelligence from the cloud to the growing global population of devices with
on-board CPUs.
To support learning schemes inspired by mechanisms found in nature, I propose developing intelligent systems within the UnAIverse platform that enables social mechanisms and fosters learning processes over time, without the need for data storage. A few insights are given on new foundations for
learning over time within UnAIverse.
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