Digital Transformation: Interview with David Krakauer, President Santa Fe Institute

Digital Transformation, A Project by Manuel Stagars
www.digitaltransformation-film...
For interviews about the brave new world of blockchain technology and cryptocurrencies, see Manuel's podcast www.theblockchainandus.com.
Conversations with visionaries, decision makers, technologists, leading scientists, entrepreneurs, artists, and others around the world start a conversation about the global digital future, its most pressing challenges, and biggest opportunities.
This conversation took place in August 2017 with David Krakauer, an Evolutionary Theorist and Mathematical Biologist focusing on the history of information processing mechanisms in biology and culture. David is President and William H. Miller Professor of Complex Systems at Santa Fe Institute. www.santafe.edu

[@zenith_journey]

David has a beautiful mind. Thank you for showcasing it.

[@accidentalscientist9820]

'Ideas are technologies.' Everyone is familiar with the idea that technology assists us in our scientific inquiries... but there are ideas that assist us in our inquiries. Complexity science seeks mental technologies, styles and rigorous forms of reasoning, that will allow us to confront the complexity of adaptive phenomena."

[@michaei1726]

WOW 6 years ago.. I'd love a 2023 update

[@accidentalscientist9820]

"Understanding is mysterious. We don't even know what it means, but we know it's important. We like to understand our place in the universe. We like to understand what makes us content. We want to understand where the world is leading us. And, we're now living in an age with significant limits in understanding."

[@alexander8877]

My favorite video on CZcams.
I watched it 6 times :D

[@accidentalscientist9820]

"...complexity seeks to find a language, or a framework, in which to encapsulate, as elegantly as possible, a library of diversity...So these are the issues that we wrestle with. Trying to find the appropriate framework that respects the true complexity of adaptive phenomena,...that give us insights, an understanding of mechanism, and possibly even prediction. And ultimately, some form of control. "

[@fernandaalonso5422]

This is great. Fantastic project! Thank you!

[@accidentalscientist9820]

"So I think that the real conversation has to do with the quality of what you produce, and not the effortlessness with which you produce it."

[@manfredmontevideo3161]

Fanstastic interview!!! Greetings from Uruguay

[@LarryWeeks_ProfilePage]

Loved this. Thought-provoking. Thank you for capturing these conversations!

[@albertolucca8187]

instaBlaster.

[@ioannisakkizidis5651]

Excellent interview! Well done!

[@leosizaret4104]

Very interesting, thank you!

[@shphrd1]

Complexity is the child of simplicity. A small set of rules + small set forces + small set things [that exist in unlimited quantity = Complexity. The available example is: the 4 fundamental forces + up quark, down quark and electron + charge, spin, Etc = All the elements on the periodic table. Add self organized criticality, phase change, emergence etc and our universe is complex. Of course there is more to it, but it is fractal

[@accidentalscientist9820]

"We're still living in an age where the machines are essentially reflecting the constraints of cognition...So they still have a trace of their human origin."

[@TheJudgeandtheJury]

Interesting interview.

[@terencewinters2154]

As they used to say or still do " far out " or close in .

[@shphrd1]

He says that the function of mind is greater than product . Artifacts move faster but are not greater than human movement. I like it.

[@KrishnaHarish]

👌

[@muhammadmobeen8682]

Awesome

[@kokomanation]

And the next era will be quantum transformation

[@dtaylor091489]

it's not clear to me that predictability is separate from understanding. i think that machine learning will hit a wall with its predictions without understanding. i think this is why machine learning hit a wall in language learning. transitional probabilities can only take you so far without understanding what the words mean. this is also why it takes millions of examples for machine learning software to learn what a 2 year old learns from one or two examples. understanding what words mean allows humans to understand an idiom they've never heard before, in contrast, machine learning software would be totally lost. i think that the only reason that understanding and predictability seem to be distinct is because humans lack the memory and processing speed to do the calculations that computers use to make predictions.