This post is by Chris Dickert from Visual Capitalist

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The following content is sponsored by VERSES

The Evolution of Intelligence

The expert consensus is that human-like machine intelligence is still a distant prospect, with only a 50-50 chance that it could emerge by 2059. But what if there was a way to do it in less than half the time? We’ve partnered with VERSES for the final entry in our AI Revolution Series to explore a potential roadmap to a shared or super intelligence that reduces the time required to as little as 16 years.

Active Inference and the Future of AI

The secret sauce behind this acceleration is something called active inference, a highly efficient model for cognition where beliefs are continuously updated to reduce uncertainty and increase the accuracy of predictions about how the world works.  An AI built with this as its foundation would have beliefs about the world and would want to learn more about it; in other words, it would be curious. This is a quantum leap ahead of current state-of-the-art AI, like OpenAI’s ChatGPT or Google’s Gemini, which once they’ve completed their training, are in essence frozen in time; they cannot learn.  At the same time, because active inference models cognitive processes, we would be able to “see” the thought processes and rationale for any given AI decision or belief. This is in (Read more…)