world of weird things podcast: did we find the limits of ai?

How can artificial intelligence be so impressive in demos but end up with a shaky real life track record? Is it because we’re hitting the limits of our current machine learning models?
bot on a chip
Illustration by Fullvector/Freepik

You spent months fine tuning your neural network, constantly tweaking its architecture, training it until it achieves 99.5% accuracy, but when you deployed it in the real world with less than stellar results. Why? It’s probably because you managed to hit the limits to what our current machine learning formulas and approaches can achieve when training computers to make sense of our messy and inconsistent world. On this week’s episode we dive into some of those limits and what they mean to the humans AI is meant to help or replace.

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Articles covered or touched on in this episode…

How Automation Is Stealing Jobs And Accidentally Empowering Populists
The Trump Administration Is In Denial About Jobs And Artificial Intelligence
The Automated Workhouse: How Machines Quietly Conquered The World
To Save The World’s Minds, We Need To Kill The Nine To Five Job
How The Gig Economy Ate The Post-Industrial World And How To Escape Its Clutches
Robot Overlords, Mushrooms & The Moon
The Robot Job Apocalypse

Related articles and further reading…

The Dirty Work Of Training An Artificial Intelligence
The Simmering Battle To Define A.I. And How Smart It Can Be
The Dirty Work Of Training An Artificial Intelligence
The Automation Paradox In Developing Nations
The Oncology Revolution That Wasn’t

Intro/outro by Absolute Valentine, courtesy of Lazerdiscs Records

# podcast // artificial intelligence / automation / computer science

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