Credit to Author: Michael Barnard| Date: Sun, 03 Nov 2019 18:10:24 +0000
We’re gaining new senses with machine learning. But it is also eliminating our ability to believe that much of what we do is actually private
Credit to Author: Michael Barnard| Date: Sun, 03 Nov 2019 18:10:24 +0000
We’re gaining new senses with machine learning. But it is also eliminating our ability to believe that much of what we do is actually private
Credit to Author: Michael Barnard| Date: Tue, 22 Oct 2019 02:00:14 +0000
How machine learning models actually perceive things and work can lead to unexpected outcomes, including a bigoted robotic velociraptor
Credit to Author: Michael Barnard| Date: Sun, 20 Oct 2019 19:20:09 +0000
A neural net is trained to recognize that things that it is seeing are items of value, i.e. logs. It identifies them. But that’s a noun, not a verb. Where does the verb or action come from? That’s an attention loop. An attention space. People who care. Features. A neural net which is being trained to pay attention. Trainers. But little to no understanding of action. Yet
Credit to Author: Michael Barnard| Date: Sat, 19 Oct 2019 01:40:16 +0000
What would the neural net architecture and training look like for the AI velociraptor of Michael Bay’s dreams