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Thank you for the time and effort you’ve given to reach this level of understanding.

I have been so thoroughly absorbed and impacted by Iain McGilchrist’s asymmetrical hemispheric brain perspective that I see AI as left brain thinking on steroids. The temptation is to stop at what it gives as a settled point of knowledge. In essence, this what is known. But, it isn’t. Human experience teaches us other things. Our awareness sometimes comes without effort as flashes of insight. I had one of those Sunday morning at church in the midst of singing Mendelsohn’s Vom Himmel Hoch cantata. One of the hardest intellectual challenges of awareness and presence that I’ve ever faced. The insight was the culmination of, at one level, a year’s worth of thought, at another six month’s of study. My question is how do we test AI knowledge against human experience. If McGilchrist is correct that left brain thinking is narrow and exclusive - you suggest that it is - and right brain thinking is embodied and intuitive, and the greater form of knowledge, how do we proceed? We can’t avoid the question because all organizations will eventually be trusting -hear me when I say this - their way of using AI. Efficient use will lead to mediocre results. From my perspective, while AI maybe this huge technological advance, humans will still be the ones using it. Its value is determined by human performance. So, how does this idea of Artisanal Intelligence really address the dimension of human development in the future?

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Thanks Ed.

I've been having a conversation around this earlier today, and I'm wondering how we a "corpus callosum" that not only bridges the gap, but synthesised the knowledge to produce something of original value - insight that can be harnessed, Right brain connection with left brain delivery.

Right now, I'm still focused on how to enable connected small groups that provide enough diversity to be creative yet are flexible and mobile enough to find their way to where the ideas need to go.

Work in progress... :-)

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Love your idea of small groups, Richard.

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These are great questions Ed. A key presumption about AI, the ChatGPT variety, is that it is some form of intelligence (see the nomenclature?), whereas it is merely a pattern recognition algo. Sure, the left hemisphere of the brain is doing just that, abstracting and creating maps. But intelligence is not just map-making.

Edward De Bono distinguishes intelligence, thinking and information, “Intelligence is like the horsepower of a car. Thinking is like the skill with which the car is driven. Information is like the roadmap available to the driver.” We need to acknowledge the importance of intelligence as a “potential” and then we need to seek to develop that potential. This may involve the deliberate and direct teaching of thinking skills. It is a mistake to assume that intelligent people are necessarily good thinkers.

Edward De Bono: What is Thinking? - https://expertthinkersdotcom.wordpress.com/2016/02/03/edward-de-bono-what-is-intelligence-what-is-thinking/

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