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On 23 July 2010, [12] LessWrong user Roko posted a thought experiment to the site, titled "Solutions to the Altruist's burden: the Quantum Billionaire Trick". [13] [1] [14] A follow-up to Roko's previous posts, it stated that an otherwise benevolent AI system that arises in the future might pre-commit to punish all those who heard of the AI before it came to existence, but failed to work ...
New states paradox: Adding a new state or voting block might increase the number of votes of another. Population paradox : A fast-growing state can lose votes to a slow-growing state. Arrow's paradox : Given more than two choices, no system can have all the attributes of an ideal voting system at once.
Here's what they said: "It looks like they went for some pastrami with kraut. Maybe remove all the veggies? Otherwise, a fairly decent representation." OUR TAKE: I don't like New York any more ...
The Dream of Human Life, by unknown artist, based on Michelangelo’s drawing The Dream, c. 1533. The dream argument is the postulation that the act of dreaming provides preliminary evidence that the senses we trust to distinguish reality from illusion should not be fully trusted, and therefore, any state that is dependent on our senses should at the very least be carefully examined and ...
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New Jersey accents can really trip up Alexa and Siri, our favorite hands-free virtual assistants, causing a lot of frustration for users. New Jersey's accent among hardest for AI to understand ...
Steven Pinker wrote in 1994 that "the main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard". [ 4 ] By the 2020s, in accordance with Moore's law , computers were hundreds of millions of times faster than in the 1970s, and the additional computer power was finally sufficient to begin to ...
New deep learning approaches based on Transformer models have now eclipsed these earlier symbolic AI approaches and attained state-of-the-art performance in natural language processing. However, Transformer models are opaque and do not yet produce human-interpretable semantic representations for sentences and documents.