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    If anything, this exchange illustrates the problem: judgments are being made on stylistic impressions (“this sounds like AI”) rather than…

  2. Ted Bach's avatar

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  3. Steven Hales's avatar
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    Sagar’s claim that LLMs pose an “existential threat” to universities rests on a set of conflations that do not survive…

  6. Edwin Fruehwald's avatar

    Generative AI has the potential to do catastrophic harm to higher education. This is because learning is a biological process…

  7. Anonymous1's avatar

    When the problem of AI-based papers started a few years ago, I immediately switched to in-class essay exams and told…

Biologist Orr on Intelligent Design’s Two Most Sophisticated Salesmen: Behe and Dembski

Patient and characteristically lucid analysis here by biologist Allen Orr.  (Thanks to Ian Best for the pointer.)  An excerpt from his concluding observations (read the full article for the detailed support):

Dembski’s arguments have been met with tremendous enthusiasm in the I.D. movement. In part, that’s because an innumerate public is easily impressed by a bit of mathematics. Also, when Dembski is wielding his equations, he gets to play the part of the hard scientist busily correcting the errors of those soft-headed biologists. (Evolutionary biology actually features an extraordinarily sophisticated body of mathematical theory, a fact not widely known because neither of evolution’s great popularizers—Richard Dawkins and the late Stephen Jay Gould—did much math.) Despite all the attention, Dembski’s mathematical claims about design and Darwin are almost entirely beside the point….

As it happens, David Wolpert, one of the authors of the…theorems [on which Dembski relies], recently denounced Dembski’s use of those theorems as “fatally informal and imprecise.” Dembski’s apparent response has been a tactical retreat. In 2002, Dembski triumphantly proclaimed, “The No Free Lunch theorems dash any hope of generating specified complexity via evolutionary algorithms.” Now he says, “I certainly never argued that the N.F.L. theorems provide a direct refutation of Darwinism.”

Those of us who have argued with I.D. in the past are used to such shifts of emphasis. But it’s striking that Dembski’s views on the history of life contradict Behe’s. Dembski believes that Darwinism is incapable of building anything interesting; Behe seems to believe that, given a cell, Darwinism might well have built you and me. Although proponents of I.D. routinely inflate the significance of minor squabbles among evolutionary biologists (did the peppered moth evolve dark color as a defense against birds or for other reasons?), they seldom acknowledge their own, often major differences of opinion. In the end, it’s hard to view intelligent design as a coherent movement in any but a political sense.

It’s also hard to view it as a real research program. Though people often picture science as a collection of clever theories, scientists are generally staunch pragmatists: to scientists, a good theory is one that inspires new experiments and provides unexpected insights into familiar phenomena. By this standard, Darwinism is one of the best theories in the history of science: it has produced countless important experiments (let’s re-create a natural species in the lab—yes, that’s been done) and sudden insight into once puzzling patterns (that’s why there are no native land mammals on oceanic islands). In the nearly ten years since the publication of Behe’s book, by contrast, I.D. has inspired no nontrivial experiments and has provided no surprising insights into biology. As the years pass, intelligent design looks less and less like the science it claimed to be and more and more like an extended exercise in polemics.

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