So, today, for the first time in 25 (!) years of Apple, I downgraded. From the 2016 MacBook Pro to my 2013, which I had kept in a drawer...

It was pretty simple to do—Apple Time Machine backups let me do it with one click.
That first tweet captures, in two pictures, how badly Apple has “lost the plot” (to quote @wylieprof). On the right is the Apple MagSafe adapter, from 2013. On the left, what I had “upgraded” to.
@wylieprof Thanks, Apple! I really was nostalgic for worrying about yanking my computer off the table.
@wylieprof Oh and I really appreciated not knowing if my computer was charging. What was great was the little whoop sound you used, so that the speaker before me could be informed I was charging my laptop.
@wylieprof Just kidding! That was lame. On the plus side I could now plug the charger in either side. (Except I couldn’t quite because one of the ports was faulty, and it wouldn’t charge properly—I was alerted to that by the salience of a non-whoop silence.)
@wylieprof What else? Oh! The mysterious double-space. At some point, your new keyboard started occasionally inserting two spaces when I only hit the spacebar once.
@wylieprof Maybe I was typing too hard? But then I noticed it elsewhere. For example, I’m pretty sure it happened to Mary Beard too, judging by the unexpected in her tweets. Hi Mary!
@wylieprof The new software updates were great, too. For example, at some point AirPlay stopped working. Fortunately I had yet to upgrade my iPhone, so I could still play music on the stereo.
@wylieprof Still, the upgrade was worth it. After four years, I had a hard drive that was... 50% larger, and a processor that was... 25% faster.
@wylieprof This made it easier when I stared losing work (for the first time in a decade) by unexpected application crashes, because I could load up Safari and... hang on... oop
@wylieprof I also had new friends. Like Laurel and Hardy! Hi guys.
@wylieprof These were so advanced that I had to upgrade their firmware when I first plugged them in (!) Also I think they were $60 each.
@wylieprof The computer itself was so skinny that when I carried these around I felt like a photographer’s assistant at a fashion shoot.
@wylieprof Making the trackpad extra large was great because my finger got a concussion running off the edge of the last one? Not really, but now I could randomly fail to click something if I rested my palm wrong.
@wylieprof This was the first time since the late-1990s Jobs reboot that I felt I was working for my computer, not the other way around.
@wylieprof The era of understated perfection is, in my opinion, over. Given the bugs that erupt with each incremental update now, I can’t even imagine the current team rolling out an entire rewrite of the OS, as they did for OS X. https://t.co/2lZn5RQm4w
@wylieprof One last example, a little more technical. Apple rolled out a new file system. It’s called APFS, you’ll get it free if you upgrade to High Sierra.
@wylieprof APFS forbids “hardlinks”. So if you do upgrade, all of your UNIX stuff will probably break. Why? Because screw you, that’s why.
@wylieprof Oh also—APFS is incompatibile with older versions of Time Machine. Apple can’t even not break its own stuff. And you can’t reformat back to the old system.
@wylieprof https://t.co/RD5XpCYTSm if you don’t believe me.
@wylieprof A new update was released today or so—Mojave (motto: Welcome to the Desert of the Real).
@wylieprof I learned this because people already figured out it breaks Mathematica.
@wylieprof A well-built machine is a beautiful thing. You get attached to excellence in them the way people get attached to the old Volkswagen Beatle.
@wylieprof So, support request to @AppleSupport. Please fire Johnny Ive, and take everyone else on a five year retreat to Tibet to meditate on non-being or something.
@wylieprof @AppleSupport We can wait.
@wylieprof @AppleSupport Or, someone start a tweet campaign and get @elonmusk to build a better laptop—something that will last twenty years and be more than a platform for failed AI voice assistants and marketing popups from Software Update.
To cheer everybody up, here is a list of cool people using macs. https://t.co/pToRotyQyX
https://t.co/NloM4XBgIN
https://t.co/JcUr9ZahSZ
https://t.co/NTmT4BC8dA
Here's why Al Gore lost the election
https://t.co/Oi7WM6vmpe
(Compare to Gore)
The Dixie Chicks?
Don't tell Kayne he forgot the adapter.
Unfriend (@SwiftOnSecurity)
I do not enjoy this user experience
"Mr Putin, I can't find our password?"

More from Simon DeDeo

This is a pretty valiant attempt to defend the "Feminist Glaciology" article, which says conventional wisdom is wrong, and this is a solid piece of scholarship. I'll beg to differ, because I think Jeffery, here, is confusing scholarship with "saying things that seem right".


The article is, at heart, deeply weird, even essentialist. Here, for example, is the claim that proposing climate engineering is a "man" thing. Also a "man" thing: attempting to get distance from a topic, approaching it in a disinterested fashion.


Also a "man" thing—physical courage. (I guess, not quite: physical courage "co-constitutes" masculinist glaciology along with nationalism and colonialism.)


There's criticism of a New York Times article that talks about glaciology adventures, which makes a similar point.


At the heart of this chunk is the claim that glaciology excludes women because of a narrative of scientific objectivity and physical adventure. This is a strong claim! It's not enough to say, hey, sure, sounds good. Is it true?

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THREAD: How is it possible to train a well-performing, advanced Computer Vision model 𝗼𝗻 𝘁𝗵𝗲 𝗖𝗣𝗨? 🤔

At the heart of this lies the most important technique in modern deep learning - transfer learning.

Let's analyze how it


2/ For starters, let's look at what a neural network (NN for short) does.

An NN is like a stack of pancakes, with computation flowing up when we make predictions.

How does it all work?


3/ We show an image to our model.

An image is a collection of pixels. Each pixel is just a bunch of numbers describing its color.

Here is what it might look like for a black and white image


4/ The picture goes into the layer at the bottom.

Each layer performs computation on the image, transforming it and passing it upwards.


5/ By the time the image reaches the uppermost layer, it has been transformed to the point that it now consists of two numbers only.

The outputs of a layer are called activations, and the outputs of the last layer have a special meaning... they are the predictions!

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A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.

Legacy site *downloads* ~630 KB CSS per theme and writing direction.

6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices

https://t.co/qyl4Bt1i5x


PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.

735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices

https://t.co/w7oNG5KUkJ


The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.

The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.