If your Android phone no longer generates tones that work when you’re asked to “Press 1 to … do something” Pixel support says go to Settings > Apps > Phone. Touch the three dots in the upper right, select “Uninstall updates” and restart your phone. Worked for me.

My list of recent calls was preserved. Yay. But presumably Google is working on a more elegant solution.

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The Democrats are trying to belittle the concept of a Wall, calling it old fashioned. The fact is there is nothing else’s that will work, and that has been true for thousands of years. It’s like the wheel, there is nothing better. I know tech better than anyone, & technology…..

— Donald J. Trump (@realDonaldTrump) December 21, 2018

This comes from a man who does not know how to close an umbrella.

Does Trump really believe that he knows more about tech than anyone? Even if we take away the hyperbole, does he think he’s an expert at technology? What could he mean by that? That he knows how to build a computer? What an Internet router does? That he can explain what an adversarial neural network is, or just the difference between machine learning and deep learning? That he can provide IT support when Jared can’t find the song he just downloaded to his iPhone? That he can program his VCR?

But I don’t think he means any of those things by his ridiculous claim.

I think it’s worse than that. The phrase is clearly intended to have an effect, not to mean anything. “Listen to me. Believe me.” is an assertion of authority intended to forestall questioning. A genuine expert might say something like that, and at least sometimes it’d be reasonable and acceptable; it’s also sometimes obnoxious. Either way, “I know more about x than anyone” is a conversational tool.

So, Trump has picked up a hammer. His hand is clasped around its handle. He swings his arm and brings the hammer squarely down on the nail. He hears the bang. He has wielded this hammer successfully.

Except the rest of us can see there is nothing — nothing — in his hand. We all know that. Only he does not.

Trump is not lying. He is insane.

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For the past six months I’ve been a writer in residence embedded in a machine learning research group — PAIR (People + AI Research) — at the Google site in Cambridge, MA. I was recently renewed for another 6 months.

No, it’s not clear what a “writer in residence” does. So, I’ve been writing occasional posts that try to explain and contextualize some basic concepts in machine learning from the point of view of a humanities major who is deeply lacking the skills and knowledge of a computer scientist. Fortunately the developers at PAIR are very, very patient.

Here are three of the posts:

Machine Learning’s Triangle of Error: “…machine learning systems ‘think’ about fairness in terms of three interrelated factors: two ways the machine learning (ML) can go wrong, and the most basic way of adjusting the balance between these potential errors.”

Confidence Everywhere!: “… these systems are actually quite humble. It may seem counterintuitive, but we could learn from their humility.”

Hashtags and Confidence: “…in my fever dream of the future, we routinely say things like, “That celebrity relationship is going to last, 0.7 for sure!” …Expressions of confidence probably (0.8) won’t take exactly that form. But, then, a decade ago, many were dubious about the longevity of tagging…”

I also wrote about five types of fairness, which I posted about earlier: “…You appoint five respected ethicists, fairness activists, and customer advocates to figure out what gender mix of approved and denied applications would be fair. By the end of the first meeting, the five members have discovered that each of them has a different idea of what’s fair…”

I’ve also started writing an account of my attempt to write my very own machine learning program using TensorFlow.js: which lets you train a machine learning system in your browser; TensorFlow.js is a PAIR project. This project is bringing me face to face with the details of implementing even a “Hello, world”-ish ML program. (My project aims at suggesting tags for photos, based on a set of tagged images (Creative Commons-ed) from Flickr. It’s a toy, of course.)

I have bunch of other posts in the pipeline, as well as a couple of larger pieces on larger topics. Meanwhile, I’m trying to learn as much as I possibly can without becoming the most annoying person in Cambridge. But it might be too late to avoid that title…

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My new book (Everyday Chaos, HBR Press, May 2019) has a few hundred footnotes with links to online sources. Because Web sites change and links rot, I decided to link to Perma.cc‘s pages instead . Perma.cc is a product of the Harvard Library Innovation Lab, which I used to co-direct with Kim Dulin, but Perma is a Jonathan Zittrain project from after I left.

When you give Perma.cc a link to a page on the Web, it comes back with a link to a page on the Perma.cc site. That page has an archive copy of the original page exactly as it was when you supplied the link. It also makes a screen capture of that original page. And of course it includes a link to the original. It also promises to maintain the Perma.cc copy and screen capture in perpetuity — a promise backed by the Harvard Law Library and dozens of other libraries. So, when you give a reader a Perma link, they are taken to the Perma.cc page where they’ll always find the archived copy and the screen capture, no matter what happens to the original site. Also, the service is free for everyone, for real. Plus, the site doesn’t require users to supply any information about themselves. Also, there are no ads.

So that’s why my book’s references are to Perma.cc.

But, over the course of the six years I spent writing this book, my references suffered some link rot on my side. Before I got around to creating the Perma links, I managed to make all the obvious errors and some not so obvious. As a result, now that I’m at the copyediting stage, I wanted to check all the Perma links.

I had already compiled a bibliography as a spreadsheet. (The book will point to the Perma.cc page for that spreadsheet.) So, I selected the Title and Perma Link columns, copied the content, and stuck it into a text document. Each line contains the page’s headline and then the Perma link.

Perma.cc has an API that made it simple to write a script that looks up each Perma link and prints out the title it’s recorded next to the title of the page that I intend to be linked. If there’s a problem with Perma link, such as a double “https://https://” (a mistake I managed to introduce about a dozen times), or if the Perma link is private and not accessible to the public, it notes the problem. The human brain is good at scanning this sort of info, looking for inconsistencies.

Here’s the script. I used PHP because I happen to know it better than a less embarrassing choice such as Python and because I have no shame.

Run this script in a browser and it will create a page with the results. (The script is available at GitHub.)

Thanks, Perma.cc!

By the way, and mainly because I keep losing track of this info, the table of code was created by a little service cleverly called Convert JS to Table.

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Operating systems play favorites when it comes to fonts: they pick one as their default. And the OS’s don’t agree with one another:

From https://furbo.org/stuff/systemfonts-new.html

But now when you’re designing a page you can tell CSS to use the system font of whatever operating system the browser is running on. This is thanks to Craig Hockenberry who proposed the idea in an article three years ago. Apple picked up on it, and now it’s worked it’s way into the standard CSS font module and is supported by Chrome and Safari; Windows and Mozilla are lagging. Here’s Craig’s write-up of the process.

Here’s a quick test of whether it’s working in the browser you’re reading this post with:

We now return you to this blog’s regular font, already in progress.

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I’ve written before about the need to teach The Kids (also: all of us) not only how to think critically so we can see what we should not believe, but also how to come to belief. That piece, which I now cannot locate, was prompted by danah boyd’s excellent post on the problem with media literacy. Robert Berkman, Outreach, Business Librarian at the University of Rochester and Editor of The Information Advisor’s Guide to Internet Research, asked me how one can go about teaching people how to come to belief. Here’s an edited version of my reply:

I’m afraid I don’t have a good answer. I actually haven’t thought much about how to teach people how to come to belief, beyond arguing for doing this as a social process (the ol’ “knowledge is a network” argument :) I have a pretty good sense of how *not* to do it: the way philosophy teachers relentlessly show how every proposed position can be torn down.

I wonder what we’d learn by taking a literature course as a model — not one that is concerned primarily with critical method, but one that is trying to teach students how to appreciate literature. Or art. The teacher tries to get the students to engage with one another to find what’s worthwhile in a work. Formally, you implicitly teach the value of consistency, elegance of explanation, internal coherence, how well a work clarifies one’s own experience, etc. Those are useful touchstones for coming to belief.

I wouldn’t want to leave students feeling that it’s up to them to come up with an understanding on their own. I’d want them to value the history of interpretation, bringing their critical skills to it. The last thing we need is to make people feel yet more unmoored.

I’m also fond of the orthodox Jewish way of coming to belief, as I, as a non-observant Jew, understand it. You have an unchanging and inerrant text that means nothing until humans interpret it. To interpret it means to be conversant with the scholarly opinions of the great Rabbis, who disagree with one another, often diametrically. Formulating a belief in this context means bringing contemporary intelligence to a question while finding support in the old Rabbis…and always always talking respectfully about those other old Rabbis who disagree with your interpretation. No interpretations are final. Learned contradiction is embraced.

That process has the elements I personally like (being moored to a tradition, respecting those with whom one disagrees, acceptance of the finitude of beliefs, acceptance that they result from a social process), but it’s not going to be very practical outside of Jewish communities if only because it rests on the acceptance of a sacred document, even though it’s one that literally cannot be taken literally; it always requires interpretation.

My point: We do have traditions that aim at enabling us to come to belief. Science is one of them. But there are others. We should learn from them.

TL;DR: I dunno.

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Google PAIR (People + AI Research) has just posted my attempt to explain what fairness looks like when it’s operationalized for a machine learning system. It’s pegged around five “fairness buttons” on the new Google What-If tool, a resource for developers who want to try to figure out what factors (“features” in machine learning talk) are affecting an outcome.

Note that there are far more than five ways to operationalize fairness. The point of the article is that once we are forced to decide exactly what we’re going to count as fair — exactly enough that a machine learning system can implement it — we realize just how freaking complex fairness is. OMG. I broke my brain trying to figure out how to explain some of those ideas, and it took several Google developers (especially James Wexler) and a fine mist of vegetarian broth to restore it even incompletely. Even so, my explanations are less clear than I (or you, I’m sure) would like. But at least there’s no math in them :)

I’ll write more about this at some point, but for me the big take-away is that fairness has had value as a moral concept so far because it is vague enough to allow our intuition to guide us. Machine learning is going to force us to get very specific about it. But we are not yet adept enough at it — e.g., we don’t have a vocabulary for talking about the various varieties — plus we don’t agree about them enough to be able to navigate the shoals. It’s going to be a big mess, but something we have to work through. When we do, we’ll be better at being fair.

Now, about the fact that I am a writer-in-residence at Google. Well, yes I am, and have been for about 6 weeks. It’s a 6 month part-time experiment. My role is to try to explain some of machine learning to people who, like me, lack the technical competence to actually understand it. I’m also supposed to be reflecting in public on what the implications of machine learning might be on our ideas. I am expected to be an independent voice, an outsider on the inside.

So far, it’s been an amazing experience. I’m attached to PAIR, which has developers working on very interesting projects. They are, of course, super-smart, but they have not yet tired of me asking dumb questions that do not seem to be getting smarter over time. So, selfishly, it’s been great for me. And isn’t that all that really matters, hmmm?

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In 2015, I posted about a way to unlock the picture frames that for some reason ship with Keynote but are not accessible within Keynote. They’re there but they don’t show up on the pull down, so you can’t use them.

In 2018, with Keynote at version 8 + change, the same technique works. With the same warnings. So, if you want to give yourself considerably more than the 14 frames that the menu shows you, go here, follow the instructions carefully, and most important: do not blame me. (The replacement file I link to still seems to work.)

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I received this about Too Big to Know from Isaiah Hoogendyk, Biblical Data Engineer at Faithlife Corporation:

In chapter 9, “Building the New Infrastructure of Knowledge,” (sorry, don’t have a page number: read this in the Kindle app) you state:

“There was a time when we thought we were doing the common folk a favor by keeping the important knowledge out of their reach. That’s why the Pope called John Wycliffe a heretic in the fourteenth century for creating the first English-language translation of the Christian Bible.”

This is quite false, actually. There was in fact nothing heretical about translating the Scriptures into the vernacular; instead, Wycliffe was condemned for a multitude of heresies regarding rejection of Catholic belief on the Sacraments and the priesthood, among other things. Some of these beliefs were interpolated into the translation of the Scriptures attributed to him (which weren’t even entirely translated by him), but it was mostly his other writings that were censured by the Pope. You can read more about that here: https://plato.stanford.edu/archives/win2011/entries/wyclif/.

Thanks, Isaiah.

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Someone alert MIT’s recruitment office: Thomas Alva Edison was a fan.

Here’s a 1916 letter from a father asking Edison’s advice about where to send his son who is “not a very studious boy” but is “mechanically inclined”:

Edison’s handwritten response says, as best I can make out:

My advice is to send him to the Mass Institute of Technology – Boston of all the young men out of college which I have employed those from the Mass Tech were far superior to all others.”

Source: “Letter from Harry C Shaaber to Thomas Alva Edison, October 30th, 1916,” Edison Papers Digital Edition, accessed July 20, 2018, http://edison.rutgers.edu/digital/document/E1632AD./a>. The ever-vigilant Lewis Brett Smiler sent it to me.

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