Palantir is a fantastic example for this, if you go beyond their entire CIA hunting down people origins, the function of Palantir is at its core co-operative. It connects some patterns and offers a search based interaction with a numerous set of databases, and in turn the relies upon a human being to work with and match semantic patterns.
>>> Peter Thiel: Without trying to start a fistfight, we’ll ask Bob: Why is the correct intelligence augmentation, not strong AI?
Bob McGrew: Most successes in AI haven’t been things that pass Turing tests. They’ve been solutions to discrete problems. The self-driving car, for instance, is really cool. But it’s not generally intelligent. Other successes, in things like translation or image processing, have involved enabling people to specify increasingly complex models for the world and then having computers optimize them. In other words, the big successes have all come from gains from trade. People are better than computers at some things, and vice versa.
Intelligence augmentation works because it focuses on conceptual understanding. If there is no existing model for a problem, you have to come up with a concept. Computers are really bad at that. It’d be a terrible idea to build an AI that just finds terrorists. You’d have to make a machine think like a terrorist. We’re probably 20 years away from that. But computers are good at data processing and pattern matching. And people are good at developing conceptual understandings. Put those pieces together and you get the augmentation approach, where gains from trade let you solve problems vertical by vertical.
- http://blakemasters.com/post/24464587112/peter-thiels-cs183-... <<<