English: Steve Jurvetson & friend brainstorming about Jeff Hawkins’ latest book — A Thousand Brains, 2005. Steve Jurvetson further explained:

"Building on his first book, On Intelligence, Jeff bravely presents a framework for how the brain works to produce intelligence from neurons organized into ~150 thousand cortical columns.

His decades of self-funded dedication to studying how the brain works affords a possibly unique and unifying perspective. In both books, though, he loses his way when speculating on the artificial brains of the future (with logical inconsistencies and overgeneralizations anchored on our biology). I think the first 112 pages are the best part of his new book. I’ll focus on that and save a brief critique of his AI constraints for the end.

In his first book, Hawkins presents a memory-prediction framework for intelligence. The neurons in the neocortex provide a vast amount of memory that learns a model of the world. These models continuously make low-level predictions in parallel across all of our senses. We only notice them when a prediction is incorrect. Higher in the hierarchy, we make predictions at higher levels of abstraction (the crux of intelligence, creativity and all that we consider being human), but the structures are fundamentally the same.

If that is not mind-bending enough, in his new book, Jeff extends the memory framework to the construct of “reference frames”. Everything we perceive is a constructed reality, a cortical consensus from competing internal models resident in many cortical columns, the amalgam of 1000 brains. Those models are updated by data streaming from the senses. But our reality resides in the models."