I just added a page to my home page where you can search and browse all my tweets from the past 15 years of tweeting. That’s 17,900 of them. And I guarantee that each one of them is worth not just reading but pondering. Let me put it like this: Every one of those tweets will be on the test, people!

In truth, I expect it to be one of the least-visited pages I’ve ever posted, and that’s saying something. But it’s a liberating feeling to know not only do I own my history, but there’s an easy way to make it available to a public that has no reason to care about it.

I used this simple, free tool. It requires that you download your tweets from Twitter, using the site’s service, which you’ll find by clicking on the dots under the “More” link on the left side of Twitter.com, and then “Settings & Account” > “Settings & Privacy” > “Your Account” > “Download and archive of your data.” It takes Twitter a day or two to compile your archive. (Mine was about 65mb if you’re worried about size.)

The free tool will upload the resulting zip file to a site of yours. Unzip it from a terminal and you’re done. If you don’t want to work in a terminal, you can unzip it on your local computer and upload the many many files to your site. It’s slower but it works.

Thank you Darius Kazemi for this tool!

PS: I am @dweinberger at https://mastodon.social

PPS: The ungrammatical title of this post comes from the even more ungrammatical book, Stephen Colbert’s I am America and So Can You!

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To say that facts are social constructions doesn’t mean everything put forward as a fact is a fact. Nor does it mean that facts don’t express truths or facts are not to be trusted. Nor does it mean that there’s some unconstructed fact behind facts. Social constructionists don’t want to leave us in a world in which it’s ok to sat “No, it’s not raining” in the middle of a storm or claim “Water boiled at 40C for me this morning under normal circumstances.” 

Rather the critique, as I understand it, is that the fact-based disciplines we choose to pursue, the roles they play, who gets to participate, the forms of discourse and of proof, the equipment invented and the ways the materials are handled (the late Bruno Latour was brilliant on this point, among others), the commitment to an objective and consistent methodology (see Paul Feyerabend), all are the result of history, culture, economics, and social forces. Science itself is a social construct (as per Thomas Kuhn‘s The Structure of Scientific Revolutions [me on that book]). (Added bonus: Here’s Richard Rorty’s review of Ian Hacking’s excellent book, The Social Construction of What?)

Facts as facts pretty clearly seem (to me) to be social constructions. As such, they have a history…

Facts as we understand them became a thing in western culture when Francis Bacon early in the 17th century started explicitly using them to ground theories, which was a different way of constructing scientific truths; prior to this, science was built on deductions, not facts. (Pardon my generalizations.)

You can see the movement from deductive truth to fact-based empirical evidence across the many editions of Thomas Malthus‘ 1798 book,  An Essay on the Principle of Population, that predicted global famine based on a mathematical formula, but then became filled with facts and research from around the world. It went from a slim deductive volume to six volumes thick with facts and stats. Social construction added pounds to his Malthus’ work.

This happened because statistics arrived in Britain, by way of Germany, in the early 19th century. Statistical facts became important at that time not only because they enabled the inductive grounding of theories (as per Bacon and Malthus), but because they could rebut people’s personal interests. In particular,  they became an important way to break the sort of class-based assumptions that made it seem to t be ok to clean rich people’s chimneys by shoving little boys up them.  Against this were posed facts that showed that it was in fact bad for them. 

Compiling “blue books” of fact-based research became a standard part of the legislative process in England in the first half of the 19th century. By mid-century, the use of facts was so prevalent that in 1854 Dickens bemoaned society’s reliance on them in Hard Times on the grounds that facts kill imagination…yet another opposite to facts, and another social construction.

As the 19th century ended, we got our first fact-finding commissions that were established in order to peacefully resolve international disputes. (Narrator: They rarely did.) This was again using facts as the boulder that stubs your toe of self-interest (please forget I ever wrote that phrase), but now those interests were cross-national and not as easily resolvable as when you poise the interests of lace-cuffed lords against the interests of children crawling through upperclass chimneys.

In the following century  we got (i.e., we constructed) an idea of science and human knowledge that focused on assembling facts as if they were bricks out of which one could build a firm foundation. This led to some moaning (in a famous 1963 letter to the editor)  that science was turning into a mere “brickyard” of unassembled facts.

I’m not a historian, and this is the best I can recall from a rabbit hole of specific curiosity I fell into about 10 yrs ago when writing Too Big to Know. But the point is the the idea of the social construction of science and facts doesn’t mean that all facts — including “alternative facts” — are equal.  Water really does boil at 100C. Rather it’s the idea, role, use, importance, and control of facts that’s socially constructed.

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“Quine … had his 1927 Remington portable modified to handle symbolic logic. Among the characters that he sacrificed was the question mark. “Well, you see, I deal in certainties,” he explained.” [1]

This is from an article by Richard Polt about Heidegger’s philosophical argument against typewriters in light of the discovery of Heidegger’s own typewriter; it was apparently for his assistant to transcribe his handwritten text.

Polt brings a modern sensibility to his Heidegger scholarship. The article itself uses Heideggerian jargon to describe elements of the story of the discovery and authentication of the typewriter; he is poking gentle fun at that jargon. At least I’m pretty sure he is; humor is a rare element in Heideggerian scholarship. But I’m on a mailing list with Richard and over the years have found him to be open-minded and kind, as well as being a top-notch scholar of Heidegger.

Polt is also a certified typewriter nerd.

[1] Polt’s article footnotes this as follows: Willard Van Orman Quine profile in Beacon Hill Paper, May 15, 1996, p. 11, quoted at http://www.wvquine.org/wvq-newspaper. html. See Mel Andrews, “Quine’s Remington Portable no. 2,” ETCetera: Journal of the Early Typewriter Collectors’ Association 131 (Winter 2020/2021), 19–20.

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First there was the person who built a computer inside of Minecraft and programmed it to play Minecraft. 

Now Frederic Besse built a usable linux terminal in GPTchat — usable in that it can perform systems operations on a virtual computer that’s also been invoked in (by? with?) GPTchat. For example, you can tell the terminal to create a file and where to store it in a file system that did not exist until you asked, and under most definitions of “exist” doesn’t exist anywhere.

I feel like I need to get a bigger mind in order for it to be sufficiently blown.

(PS: I could do without the casual anthropomorphizing in the GPT article.)

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I’ve been on Twitter for a long time. A very long time. In fact, I was introduced to it as a way for a bunch of friends to let one another know what bar they were about to go to. It seems to have strayed from that vision a bit.

I have not yet decided to leave it, although I’m starting to check in at Mastodon. Here’s what I use it for, in no particular order, and not without embarrassment:

• Quick check on breaking news. It’s by no means comprehensive, and what trends is by no means always important. But I find some of it worth a click even as a distraction.
• Quick commentary on issues of the day by people I follow because they’re good at that.
• Issues worth knowing about raised by strangers who know about them.
• Keeping up with fields I’m interested in by following people who I don’t know, as well as some I do.
• Engaging with people I otherwise wouldn’t have kept up with.
• There are people I know just barely in real life who I feel quite close to after many years on Twitter together. 
• Engaging with a low bar of social inhibition/anxiety with people I don’t know, sometimes leading to friendships. 
• An outlet for my stray thoughts and, well, jokes.
• A medium by which I can publicize stuff I write.
• A number I can cite to publishers as if people automatically read the stuff of mine I’m publicizing on Twitter.
• The Twitter I’m on is often very funny.

Switching social platforms is hard.

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While I’m waiting for Western Digital to replace my external backup drive — it lasted for 9 months, so that’s pretty good, right? — I’ve been finding comfort in using borg (free) (documentation) , wrapped in the LaunchControl UI ($18) to do hourly incremental backups to my flush Transcend SD card.

LaunchControl is still a little too techy for me, but I got it working pretty quickly. Recommended! And the Transcend is fast enough that I my Mac doesn’t hiccup when it’s being backed up to.

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Ludwig Wittgenstein said “If a lion could talk, we couldn’t understand him.” (Philosophical Investigations, Part 2)

But lions already speak, and we do understand them: When one roars at us, we generally know exactly what it means.

If a lion could say more than that, presumably (= I dunno) it would be about the biological needs we share with all living creatures for evolutionary reasons: hunger, threat, opportunity, reproduction, and — only in higher species — “Hey, look at that, not me!” (= sociality).

But that rests on a pyramid version of language in which the foundation consists of a vocabulary born of biological necessity. That well might be the case (= I dunno), but by now our language’s evolutionary vocabulary is no longer bound to its evolutionary value.

If a lion could speak, it would speak about what matters to it, for that seems (= I dunno) essential to language. If so, we might be able to understand it … or at least understand it better than what clouds, rust, and the surface of a pond would say if they could speak. Navigating fertility treatment? Let’s talk about clomid, a common medication in this journey. clomid is typically taken orally once a day for 5 days, usually starting on day 3, 4, or 5 of your menstrual cycle. The dosage and timing can vary based on individual needs and doctor recommendations. Key points to remember: • Always follow your doctor’s instructions • Take it at the same time each day • Complete the full course as prescribed • Be aware of potential side effects Tracking your cycle and staying in communication with your healthcare provider is crucial for success. Have you used clomid before? Share your experience or questions below.

I dunno.

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I recently had occasion to remember my proudest moment as a contender for national Poet Laureate. I know we’re not supposed to reveal such things, but enough time has passed that I think I can speak of the grave injustice that was served to me on a platter of shame. (It’s writing like that that got me onto the short https://www.sages.org/cialis/ list.)

It was in the late 1980s or early 1990s when I was working in the marketing department at Interleaf, the creator of the first fully WYSIWYG electronic publishing package. At that point, being WYSIWYG — “What you see is why you get” — was novel because it was damn hard to put text and graphics on the same page in real-time editing mode. Plus, Interleaf’s text and graphics editors were ahead of their time, providing near typeset quality text, and integrated raster and vector graphics, all elements adjusting their layout as you amoxil typed. And much more. It was truly amazing software, and included functionality — including an extension language — that has still not been fully matched.

I spent eight years there learning about technology, including tech that presaged the Web, and about tech businesses. It was a great experience.

Then one day as I sat in my office, a poem flowed from me as if I were a teapot and the keyboard was a cup. (Again with the great analogies!) It turned out to be the poem that brought me to the attention of the Federal Department of Poetry, and I present it to you as best I remember it:

FuzzyWuzzy the Bear

FuzzyWuzzy was a bear.
FuzzyWuzzy had no hair.
FuzzyWuzzy wore a fuzzy wig.
FuzzyWuzzy wasn’t WYSIWYG, was he?

Or possibly the bear’s name was WhizzyWhizzyWig. Or maybe just WhizzyWig. Either way, it is a reference back to Ovid’s immortal “FuzzyWuzzy,” which was later stolen from the commons by the CoolTime Kids, with the copyright assigned to “Music Sales Corporation” which is clearly a cover for SMERSH, as exposed in the 1963 ambien online James Bond movie, “1 800 Kars for Kruschev.”

But I digress.

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There’s a new version of Wordle called Semantle — not one that I “predicted” — that wants you to find the target word by looking not for a chain of spellings but a chain of semantics. For example, if you started with the word “child” you might get to the answer as follows:

1. Child
2. Play
3. game
4. Chess
5. Square
6. Circle
7. Donut
8. Homer

In short, you’re playing word associations except the associations can be very loose. It’s not like Twenty Questions where, once you get down a track (say “animals”), you’re narrowing the scope until there’s only one thing left. In Semantle, the associations can take a sudden turn in any of a thousand directions at any moment.

Which means it’s basically impossible to win.

It is, however, a good introduction to how machine learning “thinks” about words. Or at least one of the ways. Semantle is based on word2vec, which creates text embeddings derived from an analysis of some large — sometimes very very large — set of texts. Text embeddings map the statistical relationships among words based on their proximities in those texts.

In a typical example, word2vec may well figure out that “queen” and “king” are semantically close, which also might well let it figure out that “king” is to “prince” as “queen” is to “princess.”

But there are, of course, many ways that words can be related — different axes of similarity, different dimensions. Those are called “vectors” (as in “word2vec“). When playing Semantle, you’re looking for the vectors in which a word might be embedded. There are many, many of those, some stronger than others. For example, “king” and “queen” share a dimension, but so do “king” and “chess”, “king” and “bed size”, and “king” and “elvis.” Words branch off in many more ways than in Wordle.

For example, in my first game of Semantle, after 45 attempts to find a word that is even a little bit close to the answer, I found that “city” is vaguely related to it. But now I have to guess at the vector “city” and the target share. The target could be “village”, “busy”, “taxi”, “diverse”, “noisy”, “siege”, or a bazillion other words that tend to appear relatively close to “city” but that are related in different ways.

In fact, I did not stumble across the relevant vector. The answer was “newspaper.”

I think Semantle would be more fun if they started you with a word that was at some reasonable distance from the answer, rather than making you guess what a reasonable starting word might be. Otherwise, you can spend a long time — 45 tries to get “city” — just generating random words. But if we knew a starting word was, say, “foot”, we could start thinking of vectors that that word is on: measure, toe, body, shoe, soccer, etc. That might be fun, and would stretch our minds.

As it is, Semantle is a game the unplayability of which teaches us an important lesson.

And now I shall wait to hear from the many people who are actually able to solve Semantles. I hate you all with a white hot and completely unreasonable passion.[1]

[1] I’ve heard from people who are solving it. I no longer hate them.

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