“Hinton suggests a technological approach that might mitigate an AI power play against humans: analog computing, just as you find in biology and as some engineers think future computers should operate. It was the last project Hinton worked on at Google. “It works for people,” he says. Taking an analog approach to AI would be less dangerous because each instance of analog hardware has some uniqueness, Hinton reasons. As with our own wet little minds, analog systems can’t so easily merge in a Skynet kind of hive intelligence.
“The idea is you don't make everything digital,” he says of the analog approach. “Because every piece of analog hardware is slightly different, you can't transfer weights from one analog model to another. So there's no efficient way of learning in many different copies of the same model. If you do get AGI [via analog computing], it’ll be much more like humans, and it won’t be able to absorb as much information as those digital models can.””
The ‘Godfather of AI’ Has a Hopeful Plan for Keeping Future AI Friendly
https://www.wired.com/story/plaintext-geoffrey-hinton-godfather-of-ai-future-ai/
via Instapaper
