Dakota Decker - Decoding Brain Machine Interfacing [SpaceX, Kernel, Human Evolution in our Hands?]
Update: 2020-08-06
Description
What does it mean to be human? Where do we draw the line between human and machine? Meet Dakota Decker, a mechanical engineer who spent 5 years at SpaceX and is now playing a role in human evolution through Brain Machine Interfacing at Kernel.
Join us as we walk the outer edges of where this insider sees technology leading us, from fascinating possibilities to foreboding probabilities. Glimpse the role humans are playing in our own evolution, realtime.
His mission is to make the world a better place by playing a role in human evolution through its convergence with technology. Will it work? Ready or not, we're gonna find out.
This episode explores the...
- Motivations fuelling emerging tech like brain machine interfacing
- Type of humans most often working in these fields - on the spectrum?
- Inevitabilities of augmenting human cognition and potential threats
- Ethics and philosophy inherent in steering evolution
- Future realms of neuroscience and biology
- Role of diversity or current lack there of in high-tech spaces
- Goals of communication - human vs. machine
“When you can measure something, you can then optimize that thing. But most things in the brain we just can’t measure. So that alone would be massively beneficial to humanity as a whole.”
https://www.linkedin.com/in/dakotadecker/?trk=public-profile-join-page
https://www.kernel.co/
Join us as we walk the outer edges of where this insider sees technology leading us, from fascinating possibilities to foreboding probabilities. Glimpse the role humans are playing in our own evolution, realtime.
His mission is to make the world a better place by playing a role in human evolution through its convergence with technology. Will it work? Ready or not, we're gonna find out.
This episode explores the...
- Motivations fuelling emerging tech like brain machine interfacing
- Type of humans most often working in these fields - on the spectrum?
- Inevitabilities of augmenting human cognition and potential threats
- Ethics and philosophy inherent in steering evolution
- Future realms of neuroscience and biology
- Role of diversity or current lack there of in high-tech spaces
- Goals of communication - human vs. machine
“When you can measure something, you can then optimize that thing. But most things in the brain we just can’t measure. So that alone would be massively beneficial to humanity as a whole.”
https://www.linkedin.com/in/dakotadecker/?trk=public-profile-join-page
https://www.kernel.co/
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