Holloway says he found the explanatory filter quite helpful when investigating voter fraud claims in the recent US election.
Holloway: To discover the principle of all principles would cut off the very limb we are sitting upon. That is why the very nature of creative intelligence, though we can catch glimpses of it, will remain forever outside our grasp.
Holloway: The complex organization of energy we humans see around us in our verdant fertile nest is enormously atypical. This fundamental law drives right through the heart of any technology, genetic or otherwise, that we might invent …
Bottom line: The rigorously proven No Free Lunch theorem shows that physicists will always be needed to determine the correct questions. No computer will do all our thinking for us.
Eric Holloway argues that the evidence does not really support common descent, not the way Talk Origins believes and we were taught in school.
Eric Holloway: When we apply Dawkins’s “blind evolution” explanation of the abilities exhibited by insects to the real world engineering, all we get is fancy knob twiddlers.
An essential part of the process of discovering the truth will be the disintegration ray gun… Read the fine print.
He argues that the problem how to account for innovation cannot be solved by anything built upon the laws of physics.
Especially to conservation of information theory: This brings us to a more general result known as the conservation of information. Design theorists William Dembski and Robert J. Marks defined the law of conservation of information in their 2009 paper “Conservation of Information in Search” and then proved the result in their follow-on 2010 paper “The Read More…
As a jokester recently demonstrated, even “shirts without stripes” is a fundamental, unsolvable problem for computers.
A scientific test should identify precisely what humans can do that computers cannot, avoiding subjective opinion: The “broken checkerboard” is not the ultimate scientific test for intelligence that we need. But it is a truly scientific test in the sense that it is capable of falsifying the theory that the mind is reducible to computation. Read More…
We often hear that what’s hard for humans is easy for computers. But it turns out that many kinds of problems are exceedingly hard for computers to solve. This class of problems, known as NP-Complete (NPC), was independently discovered by Stephen Cook and Leonid Levin.
Holloway: This test for intelligence, the Turing Test, was invented by and named after the mid-twentieth century computer pioneer Alan Turing. It is a subjective test in that it depends on whether an artificial intelligence is capable of convincing human testers that it is a human. But fooling humans, while impressive, is not really the same thing as actually possessing human-level intelligence.
Holloway: The fundamental implication is that nothing within math, science, and technology can create information. Yet information is all around us. This problem arises in many areas: evolution, artificial intelligence, economics, and physics.
Holloway: Richard Johns’s’ argument is deeper version of Captain Kirk’s scheme to defeat enemy robots in I, Mudd, a 1967 episode of Star Trek. Kirk posed a paradox that led to circuit meltdown.