Touching and Locating from AI Senses by Kim Albrecht. https://kimalbrecht.github.io/ai-senses/images/intro/ai-senses-kim-albrecht-touching.mp4 https://kimalbrecht.github.io/ai-senses/images/intro/ai-senses-kim-albrecht-locating.mp4
From computer scientist Ursula Martin in What to Think About Machines that Think. Reading the watery marshland is a conversation with the past, with people I know nothing about, except that they laid the stones that shape my stride, and probably shared my dislike of wet feet. Beyond the dunes, wide sands stretch across aContinue reading “TWO HUNDRED AND SIXTY EIGHT”
From Mirror Worlds: or the Day Software Puts the Universe in a Shoebox, via Farnam Street. When an expert remembers a patient, he doesn’t remember a mere list of words. He remembers an experience, a whole galaxy of related perceptions. No doubt he remembers certain words—perhaps a name, a diagnosis, maybe some others. But he also remembersContinue reading “TWO HUNDRED AND FIVE”
From this collection of eighty million tiny images, part of a visual dictionary teaching machines to see.
Kevin Kelly on three breakthroughs in artificial intelligence. In the next 10 years, 99 percent of the artificial intelligence that you will interact with, directly or indirectly, will be nerdily autistic, supersmart specialists. In fact, this won’t really be intelligence, at least not as we’ve come to think of it. Indeed, intelligence may be aContinue reading “ONE HUNDRED AND SIXTY NINE”