Quotes
"AI is the new electricity. Just as 100 years ago electricity transformed industry after industry, AI will now do the same."
"Amid all this activity, a picture of our AI future is coming into view, and it is not the HAL 9000--a discrete machine animated by a charismatic (yet potentially homicidal) humanlike consciousness--or a Singularitan rapture of superintelligence. The AI on the horizon looks more like Amazon Web Services--cheap, reliable, industrial-grade digital smartness running behind everything, and almost invisible except when it blinks off. This common utility will serve you as much IQ as you want but no more than you need. Like all utilities, AI will be supremely boring, even as it transforms the Internet, the global economy, and civilization. It will enliven inert objects, much as electricity did more than a century ago. Everything that we formerly electrified we will now cognitize. This new utilitarian AI will also augment us individually as people (deepening our memory, speeding our recognition) and collectively as a species. There is almost nothing we can think of that cannot be made new, different, or interesting by infusing it with some extra IQ. In fact, the business plans of the next 10,000 startups are easy to forecast: Take X and add AI. This is a big deal, and now it’s here."
Videos
- The Master Algorithm (2015) by Pedro Domingos (Authors at Google)
- AI: What's Working, What's Not (2017) by Frank Chen, Andreessen Horowitz
- The State of Artificial Intelligence (2017) by Andrew Ng, Stanford University
- Building the Software 2.0 Stack (2018) by Andrej Karpathy, Tesla
Books
Essential Books
- The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (2015) by Pedro Domingos (@Amazon)
- Prediction Machines: The Simple Economics of Artificial Intelligence (2018) by Ajay Agrawal, Joshua Gans, and Avi Goldfarb (@Amazon)
Essays
- Physiognomy's New Clothes by Blaise Aguera y Arcas
See Also
- Arto's Notes re: machine learning (ML) (deep learning (DL))
- Arto's Notes re: predictive processing (PP)