Chain-of-thought prompting could represent a conceptual breakthrough in AI research.
Researchers have enjoyed initial success in introducing chain-of-thought processing to learning algorithms. The tweak prompts the algorithm to take certain problems step by step. When used, it substantially improved algorithm performance, as measured against human performance on the same tasks. The introduction has not yet shot the lights out but it has made a noticeable difference. Why might this be important? It could be a step towards arming AI with system or type 2 processing, sometimes called slow thinking, as used by human brains for thousands of years. This is what allows humans to perform abduction or, as it is perhaps better known, to hypothesise. This capability has enabled humans to be the inventive, innovative, creative species that we are. Imagine if AI came to possess the same capability. Watch this space.
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