Every exponential in history has reorganized the system it entered—and the thing that becomes scarce is never what the curve predicted. This time, it's the capacity to know whether any of the abundant, coherent, AI-generated output is actually true.
Need to catch up on the latest in how our brains create reality? This is the book. The predictive brain theory is also important for AI researchers and enthusiasts. It offers deep insights into the intricate dance between sensory input and predictive output, echoing current developments in machine learning and predictive modeling.
What It’s About: Our brains as prediction machines. Reality is complex synthesis of sensory information and expectation.
Why It Matters: Once you understand the basics of predictive processing you will literally see the world in a different light. Our brains construct our experience using generative models that are constantly updating themselves using error signals from sensory data. This is not our intuition of the world!
Highlight: Ten times more neuronal connections run from the top to the bottom of our brains; predictions form our perceptions and when we are conscious of our predictions we can begin to reframe how we think.
Read If: You want an easy to understand explanation of how a predictive brain works - ie, yours.
Helen Edwards is a Co-Founder of Artificiality. She previously co-founded Intelligentsia.ai (acquired by Atlantic Media) and worked at Meridian Energy, Pacific Gas & Electric, Quartz, and Transpower.
It’s curious that these two papers, tackling such similar ideas, came out at the same time. Is this coincidence, or does it tell us something about where the study of life and intelligence is heading?
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