Three egocentric top-five lists

It is never clear to me which things I’ve written have had the most impact. Two easy answers: First, there is forall x. It exists in myriad versions now, customized and translated by people around the world. But that’s a textbook, so it isn’t readily comparable to all the other things. Second, nothing I have written has had too much impact. Still, one can make distinctions even in the low end.

So here are some metrics.

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All-some and a rhetorical misstep

John Norton breezes through an example of a deductive inference so as to characterize induction by contrast. His example of a valid deductive inference form is: “All As are B. Therefore, some As are B.” He even dubs this the all-some schema.1

It is a perplexing example. In old-school Aristotelean logic, the all-some schema is valid. In modern first-order logic, however, A may be an empty predicate. There being no As makes ∀x(Ax→Bx) true and ∃x(Ax&Bx) false, showing that the schema is invalid.

This got me thinking about whether the modern reading of the schema is really better than the classical one. I think it is.

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Textbooks in philosophy

At Daily Nous, Curtis Franks provides a summary of OER and free logic textbooks and courseware. On Mastodon, Anthony Eagle comments: “It is so great that there is so much effort by philosophers on this part of the textbook market; maybe we should now turn to other areas.” I sympathize.

I’ve written OER notes on scientific inference, which cover the difference between deduction and induction, problem of inductions, and underdetermination. I’ve often thought I should extend it out to be a whole textbook. There are several reasons that I haven’t.2

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The bagel disputation

A recent exchange over on bookface:

Gary Hardcastle: Necessarily, there is no everything bagel. It would have to contain itself as an ingredient. But, I can buy one at the deli.

P.D. Magnus: A bagel always trivially includes itself.

GH: That way lies madness.

PDM: Take an empty bag. Put a bagel in it. There is nothing in the bag now that was not an ingredient of the bagel. Since the bagel is in the bag, it follows that the bagel too is an ingredient of the bagel.

I feel like I should drop a QED at the end of that, but I also feel like this is the kind of dispute which would get one of us excommunicated if we were medieval monks.

And that’s why I’d make a bad monk.

Philosophy rort

I’m not an essentialist about philosophy, but there can be better or worse answers to the question of what philosophy is. Here’s a bad one I encountered recently:

When people ask what philosophy is good for, I don’t think one can do anything except say philosophy is the following series of books: starting with Plato and coming on down, all those things that Whitehead called footnotes to Plato. These books have influenced the way human beings have thought of themselves, the way they’ve organized themselves into social groups in various ways. The people who are writing footnotes to footnotes to footnotes to Plato are making suggestions about how we might think of ourselves, how we might organize society. But of course, so are all the other intellectuals. They’re making the same sorts of suggestions. Philosophy is just suggestions of this sort made by people who have read certain books as opposed to suggestions made by people who have read other sets of books.

Richard Rorty3

Two concerns.

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Exchanging Marx for Lincoln

I just posted a draft of Generative AI and Photographic Transparency, a short paper that is about those things. It builds on two blog posts that I wrote a while ago, but fleshes out the discussion in several respects. Whereas the blog posts used pictures of Karl Marx as their specimen example, the paper instead considers pictures of Abraham Lincoln. The change lets me work in some quotes from William James and Oliver Wendell Holmes.

It is still a draft, so comments are welcome.

Generative AI and homogenization

Among the legitimate worries about Large Language Models is that they will homogenize diverse voices.4 As more content is generated by LLMs, the generic style of LLM output will provide exemplars to people finding their own voices. So even people who write for themselves will learn to write like machines.

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Generative AI and rapacious capitalism

Some people have claimed that Large Language Models like ChatGPT will do for wordsmiths like me what automation has been doing to tradesfolk for centuries. They’re wrong. Nevertheless, there will be people who lose their jobs because of generative algorithms. This won’t be because they can be replaced, but instead because of rapacious capitalism. To put it in plainer terms, because their management is a bunch of dicks.

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Small updates

It has probably been more than a decade since I made any changes to the format of my home page— but today I changed around the CSS and modernized some of the code. It shouldn’t change the functionality, beyond replacing a header graphic with text in a custom font.

It’s possible that I’ve broken something or that it won’t show up properly on your device. If it has become unusable, maybe let me know.

Induction in general

The freewheeling use of the word “induction” is a pet peeve of mine. Sometimes it is used to mean any legitimate, non-deductive inference. Sometimes it is used narrowly be mean the inference from Observed Fs are G to All Fs are G. Sometimes it is carelessly used to mean both and other things besides. While I was sorting through old documents, I found this list of importantly different things that get paraded around under the banner of induction.

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