DeepMind Co-Founder Wants the 'New Turing Test' to Be Based on How Good an AI Is at Getting Rich
With artificial intelligence hype leaving venture capitalist firms foaming at the mouth, ready to buy into any new company that sticks an “A” and
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With artificial intelligence hype leaving venture capitalist firms foaming at the mouth, ready to buy into any new company that sticks an “A” and
In a previous post, I asked whether electronically steered antennas (ESAs) would replace parabolic antennas in satellite ground stations. I read a few articles suggested by others and by Google search, used some common sense, produced a list of advantages of ESAs, and concluded that it was likely they would eventually replace parabolic antennas for many applications.
With artificial intelligence hype leaving venture capitalist firms foaming at the mouth, ready to buy into any new company that sticks an “A” and “I” in its name, we sure as hell need a new way of defining what constitutes an AI. The Turing Test fails to define real intelligence in today’s world of large language models. One leading figure in the AI field has a better idea that could only come from the wealth-obsessed realm of big tech: the best way to tell if AI is smart is if it can get rich q
He proposed a new test that tasks A.I. with turning $100,000 into a million dollar business.
People have always dabbled in a little philosophy. Everyone, at some point, ponders the big questions. Why are we here? What is truth? What happens after