A computer is not—in and of itself—smarter than a pile of tinkertoys, philosopher Ed Feser argues
This summer, AI will be put through virtual mazes designed to test the intelligence of lab animals.
Including irrelevance. “Although the Statement nowhere distinguishes between “weak” and “strong” AI, the signers are clearly (and rightly) skeptical that computers can become conscious moral agents.”
No. Algorithms—including the ones used by Netflix—can’t be creative.
That’s what George Gilder says. And he thinks it won’t work.
Just the sheer hype from the AI rules! proponents alone should warn us to listen to a different perspective.
One outcome of Simpson’s Paradox is that machines cannot replace statisticians in analysing results. A great deal depends on interpretation, as Marks shows. “Clustering remains largely an art.”
There is a huge media pundit industry anxious to persuade us that machines will come to think like people when the actual concern should be quite the opposite… people will come to think like machines and won’t see through their pretensions. See, for example, A Short Argument Against the Materialist Account of the Mind.
Computer engineering prof Robert Marks has had to reflect on what human creativity means, discussing the goals of the Walter Bradley Center for Natural and Artificial Intelligence, of which he is the director. He found his inspiration in Nobel Prize-winning American novelist John Steinbeck’s conviction: “The preciousness lies in the lonely mind of a man.”
We’re still looking for the system that is smarter than anyone who will come along and invent another, smarter system.
The fact that creativity does not follow computational rules may well be a ceiling for machine writing and it is not made of glass.
His struggle to bring reality to“sci-fi” origin of life research is Intro of the Walter Bradley Center’s inspiration for our work on AI: The Bradley Center hopes to have a similar effect by promoting more general knowledge of fundamental issues around “thinking computers and questions around the real effects of technology on human well-being. A friend […]
Based on what we know of how algorithms work, it can be demonstrated mathematically that algorithms cannot deal with non-computable concepts: There is another way to prove a negative besides exhaustively enumerating the possibilities With artificial general intelligence (AGI), if we can identify something algorithms cannot do, and show that humans can do it then […]
If an algorithm that reproduces human behavior requires more storage space than exists in the universe, it is a practical impossibility that also demonstrates the logical impossibility of artificial intelligence, Eric Holloway argues. He engaged in a three-part debate on the subject. Here’s the first part: The most basic sort of algorithm that can mimic […]
Software engineer and musician Brendan Dixon thinks AI is the perfect tool for creating social noise: If you believe all you read, AI is once again nipping at the heels of our humanity, this time by “creating” music all on its own (lyrics included). Soon we must submit to our “robot overlords.” Or not. The […]