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A scientific breakthrough in #ConversationalAI. Meaning-based NLU vs. Deep Learning Intent NLU. Sign up for early access: https://pat.ai/

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Where is AI headed?

2 min readJun 6, 2025

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And why don’t the CEOs of tech giants agree with the experts in the field?

Interview with Charles Cormier on the CEO Wisdom Podcast

I had a great time in my recent interview with Charles Cormier on his CEO Wisdom Podcast (click). Don’t worry, it was early in the morning, but my dog likes us to do early morning walks and we had already seen the neighborhood!

The key point we discussed was around the different view of the tech giant CEOs from the AAAI experts on AI.

Charles did a good job at presenting the case for AI to push my arguments for the need to continue research until we get results now, not just predicted results some time soon.

Again, you can watch it here or click above:

Do you want to read more?

If you want to read about the application of brain science to the problems of AI, you can read my latest book, “How to Solve AI with Our Brain: The Final Frontier in Science” to explain the facets of brain science we can apply and why the best analogy today is the brain as a pattern-matcher. The book link is here on Amazon in the US.

In the cover design below, you can see the human brain incorporating its senses, such as the eyes. The brain’s use is being applied to a human-like robot who is being improved with brain science towards full human emulation in looks and capability.

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Pat Inc
Pat Inc

Published in Pat Inc

A scientific breakthrough in #ConversationalAI. Meaning-based NLU vs. Deep Learning Intent NLU. Sign up for early access: https://pat.ai/

John Ball
John Ball

Written by John Ball

I'm a cognitive scientist working on NLU (Natural Language Understanding) systems based on RRG (Role and Reference Grammar). A mouthful, I know!

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