A good rule of thumb is that unexpected outcomes increase exponentially as a function of AI complexity.
Read More ›
Fully autonomous vehicles—aka self-driving cars—are a techno-utopian fantasy that stands little to no chance of realization in the coming decades. The industry is slowly starting to separate that fantasy from achievable reality.
Read More ›
Despite the misguided hype, AI is just another tool. So it is encouraging to read about the ways that Japanese firm Hitachi is using AI as a tool to provide services that would otherwise be difficult or unavailable.
Read More ›
AI tools help us do things better, faster, or more efficiently. But they lack the mind needed to know when “I’m loving’ it” is the winning slogan—and stop there.
Read More ›
By the very nature of collaborative work, if simple fraud for financial gain is not in question, many much harder questions remain, questions where AI might provide information that enables better judgment. But it’s hardly the stuff of “AI Is Taking Over.”
Read More ›
This human-plus-machine combination is proving more potent than the machine-only hype/promise.
Read More ›
Because computers lack common sense, they cannot interpret statements that assume a background of general knowledge, as the Winograd Schema challenges show.
Read More ›
Some of the stuff that made a difference, they couldn’t put in a computer. Some people say, if you can’t measure it, it doesn’t count but sometimes the things that count can’t be measured.
Read More ›
If you ask about anything that’s a puzzle, joke, riddle, or sarcasm that you can’t look up in Wikipedia, computers are helpless.
Read More ›
If Shakespeare is right about imagination, Sophia will certainly break some hearts.
Read More ›
Kurt Gödel (1906–1978) proved that there are truths in mathematical logic that lie outside mathematical logic, which means that the mind cannot be understood simply as a computer.
Read More ›
Popular culture is looking for high-tech ETs to be its saviors and Silicon Valley aspires to become those ETs. What could possibly go wrong?
Read More ›
Machine learning is not a new technique, but is simply a modern extension of a tool that we have had in our toolbox since the days of the Babylonians. It continues to serve us well to help us extrapolate our data to estimate the value of unknown results and to help find the signal in noisy data.
Read More ›
