philip lelyveld The world of entertainment technology

New study introduces a test for artificial superintelligence

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SuperARC defines intelligence in terms of recursive compression repeatedly condensing information to reveal deeper patterns not apparent to tools such as Large Language Model chatbots (LLMs). The test employs a type of specialised probability, drawing upon the equivalence between compressibility and predictability established in the theory of randomness. The paper proves mathematically the equivalence between compression and prediction and exploits it to show how model abstraction and planning in the context of AI are formally two sides of the same coin.

The authors argue that intelligence is best measured by the ability to produce approximations to short computable hypotheses—one that can not only reconstruct but also predict data by running code in parallel to simulate many future states and pick the one that is closer to the observation at any given time. This perspective moves away from conventional, human-centric IQ-style tests, aiming for a more fundamental and agnostic measure of natural and artificial higher cognitive ability not based on human-centric single answers. ...

The authors of this study propose that future AI progress hinges on integrating symbolic inference with machine learning, arguing that “pure memorisation” approaches fall short of genuine comprehension. A shift to neurosymbolic models may be required to bridge the gap between advanced pattern recognition and true algorithmic inference. ...

See the full story here: https://www.kcl.ac.uk/news/new-study-introduces-a-test-for-artificial-superintelligence