
Episode 12: Conversation with Jeff Hawkins - On Defining Intelligence
05/22/19 • 46 min
In this episode, host Matt Taylor asks Numenta co-founder Jeff Hawkins to define intelligence. Jeff outlines 3 components of intelligence, and revisits them through the lens of the Thousand Brains theory of Intelligence.
According to Jeff, "The bottom line is that Intelligence is only as good as the model that you build."
In this episode, host Matt Taylor asks Numenta co-founder Jeff Hawkins to define intelligence. Jeff outlines 3 components of intelligence, and revisits them through the lens of the Thousand Brains theory of Intelligence.
According to Jeff, "The bottom line is that Intelligence is only as good as the model that you build."
Previous Episode

Episode 11: Conversation with Subutai Ahmad – On COSYNE
Host Matt Taylor interviews Numenta VP Research Subutai Ahmad about his experience at this year's COSYNE conference. They discuss:
- What COSYNE is all about
- Why Numenta attends
- What Numenta presented
Then Matt dives into the content and asks Subutai about
- the difference between tonic and burst modes
- how cells in the cortex control modes in the thalamus
- why would cortex control modes of thalamus
- how TC cells detect precise sparse codes from L6
- what the thalamus is providing in the FF input to L6
- the hypotheses suggested by the poster
Next Episode

Episode 13: Subutai Ahmad on Applying HTM Ideas to Deep Learning
We're back!
After a summer hiatus, we are back with a new episode. Host Matt Taylor talks to Numenta VP of Research Subutai Ahmad about the effort he has been leading in applying Numenta research and HTM principles to deep learning systems.
This episode is also available as a video.
Numenta On Intelligence - Episode 12: Conversation with Jeff Hawkins - On Defining Intelligence
Transcript
Today on the Numenta On Intelligence podcast.
JeffYou see something to believe the earth is flat and you give them all these facts that don't fit that model. Now, the Earth is flat predicts certain things. Right. And, and, and they will do their damnedest to try to fit these new facts into their model, no matter how, that's what they're going to, otherwise you have to throw the whole thing away and start ov
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