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Saturday, January 16, 2021

On intelligence: How a New Understanding of the Brain will Lead to the Creation of Truly Intelligent Machines by Jeff Hawkins

I can't believe I've written only a single blog post in 2020. 😲 2021 supposed to be the year that I read more books. Let's see ;) I hope what happened to my #dailydoseofcreativity in 2019 won't happen again with my new year 2021 goal 🙈. Daily is a too overwhelming commitment, so that's a bad idea.  Let's say bi-monthly to be on the safe side. Here's my first book, only read the first chapter and I'm already curious about his next book,  'Thousand Brains Theory of Intelligence', as well. 

Here are my favorite quotes so far. 💘

Many people today believe that AI is alive and well and just waiting for enough computing power to deliver on its many promises. When computers have sufficient memory and processing power, the thinking goes, AI programmers will be able to make intelligent machines. I disagree. AI suffers from a fundamental flaw in that it fails to adequately address what intelligence is or what it means to understand something. 

Turing machine: Its central dogma: the brain is just another kind of computer. It doesn't matter how you design an artificially intelligent system, it just has to produce human-like behavior

Behaviorism: The behaviorists believed that it was not possible to know what goes on inside the brain, which they called an impenetrable black box. But one could observe and measure an animal's environments and its behaviors - what it senses and what it does, its inputs and outputs. They conceded that the brain contained reflex mechanisms that could be used to condition an animal into adopting new behaviors through rewards and punishments. But other than this, one did not need to study the brain, especially messy subjective feelings such as hunger, fear, or "what it means to understand something".

Behavior is a manifestation of intelligence, but not a central characteristic of being intelligent. 

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