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A batch of the best highlights from what J's read, .
Unlike human communities, which require the effort of finding like-minded others who share one's worldview, AI companions are immediately accessible and are already designed to be 'like-minded' to their users through personalization algorithms and sycophantic tendencies. There is no need to seek out fringe communities or convince others of one's beliefs—the AI is pre-programmed to be accommodating and affirming.
With deep learning networks, you don’t need to worry about which features of the training data to use, or whether you understand the nuances of the context, you just need to force enough training data through the layers and apply a method of optimization called stochastic gradient descent (of which more in a moment). Deep learning can find patterns in data that we can’t even put into words – the kinds of patterns that have always been intractable to analytical description.
Resisting AI
Dan McQuillan
The future they were seeing in the crisis was one in which not only our homes are never again exclusively personal spaces but also, via high-speed digital connectivity, our schools, our doctor’s offices, our gyms, and, if determined by the state, our jails. It was a grim, AI-enabled vision of a touchless society that would employ far fewer teachers, doctors, and drivers. It would accept no cash, and have skeletal mass transit and far less live art.
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