Welcome to the bloggy home of Noah Brier. I'm the co-founder of Percolate and general internet tinkerer. This site is about media, culture, technology, and randomness. It's been around since 2004 (I'm pretty sure). Feel free to get in touch. Get in touch.

You can subscribe to this site via RSS (the humanity!) or .

Remainders: From Parking Garages to Political Contributions

It’s been awhile since I did a Remainders posts so I figured I’d throw one together. In theory it’s all the other stuff I didn’t get a chance to blog about. In reality, it’s pretty much everything I’ve been reading that isn’t about mental models/frameworks (and even some of that). You can find previous versions filed under Remainders and, as always, if you enjoy the writing, please subscribe by email and pass around.

Let’s start with some books. Here’s what I’ve read in the last three months (in order of when they were read):

Okay, onto some other reading, etc. …

This Wired piece about the possibility of a coming “AI cold war” has two particularly interesting strings in it: One is a fundamental question about the nature of technology and its relationship with democracy (put simply: is the internet better structured to support or defeat democratic ideals) and the other is about how China (and the US) will use 5G as a power play (“If you are a poor country that lacks the capacity to build your own data network, you’re going to feel loyalty to whoever helps lay the pipes at low cost. It will all seem uncomfortably close to the arms and security pacts that defined the Cold War.”)

I’ve been fascinated by the mysterious attacks against Americans in Cuba since I read about them (probably over a year ago now). I was excited to see the New Yorker finally dig in.

We’ve been having lots of trouble convincing our three-year-old to wear a coat in the cold. Turns out its pretty normal.

The Chronicle of Higher Education asked a bunch of academics for their most influential academic book of the last twenty years. Lots of interesting things to read here.

This is from earlier in the year, but it’s worth re-reading Bruce Schneier’s piece on securing elections. More recently he had a good one on mobile phone security.

TILs:

  • Benoît Mandelbrot (of fractal fame) is apparently responsible (at least in part) for the introduction of passwords at IBM. From When Einstein Walked with Gödel (which I’m reading now), “When his son’s high school teacher sought help for a computer class, Mandelbrot obliged, only to find that soon students all over Westchester County were tapping into IBM’s computers by using his name. ‘At that point, the computing center staff had to assign passwords,’ he says. ‘So I can boast-if that’s the right term-of having been at the origin of the police intrusion that this change represented.'”
  • Also from the same book, the low numerals are meant to be representative of the number of things they are. Since that makes no sense, here’s the quote from the book: “Even Arabic numerals follow this logic: 1 is a single vertical bar; 2 and 3 began as two and three horizontal bars tied together for ease of writing.”
  • When you get helium super cold very strange stuff starts happening.
  • A Rochester garbage plate “is your choice of cheeseburger, hamburger, Italian sausages, steak, chicken, white or red hots*, served on top of any combination of home fries, french fries, baked beans, and/or macaroni salad.”
  • There’s a taxonomy of parking garage design (image below).

Barkley Marathons sound awful.

This hit close to home:

It took 200 years for them to start making brown point shoes for non-white ballet dancers

There’s apparently a big conversation going on in the machine learning community about whether ML is alchemy:

Rahimi believes contemporary machine learning models’ successes — which are mostly based on empirical methods — are plagued with the same issues as alchemy. The inner mechanisms of machine learning models are so complex and opaque that researchers often don’t understand why a machine learning model can output a particular response from a set of data inputs, aka the black box problem. Rahimi believes the lack of theoretical understanding or technical interpretability of machine learning models is cause for concern, especially if AI takes responsibility for critical decision-making.

This is a park covered in spiderwebs:

Tangentially related, here’s how corporate America contributes to politics by industry:

The Article Group email list is worth subscribing to. Back issues here.

I loved this quote from philosopher Daniel Dennet’s talk on what he calls intelligent design (don’t worry, it’s not the same):

Stochastic terrorism is one of those ideas you read once and think about from then on

I don’t know where I fall on this, but I found Douglas Rushkoff’s argument that universal basic income is a scam being put forward by technology companies fascinating:

Uber’s business plan, like that of so many other digital unicorns, is based on extracting all the value from the markets it enters. This ultimately means squeezing employees, customers, and suppliers alike in the name of continued growth. When people eventually become too poor to continue working as drivers or paying for rides, UBI supplies the required cash infusion for the business to keep operating.

Adam Davidson had a good Twitter thread about “both-sidism” in political reporting.

Wired on “it’s not a bug, it’s a feature”.

The changing landscape of business expenses:

It seems like one out of 100 Player’s Tribune articles are amazing. This one from former Clipper Darius Miles fits the bill.

I’ve been really enjoying John Horgan’s Scientific American blog “Cross-Check”.

David Grann, who is probably my favorite author, snuck a book out without me knowing. Called White Darkness, it appears to be an expanded version of his New Yorker article about Antarctic explorers from earlier this year (one of my favorites).

Alright, I’m going to cut this here … I’m only caught up to late October, so look out for a part two. Thanks for reading.

November 12, 2018 // This post is about: , , , , , , , , , , , , , , , , , , , , , , , , , ,

The Evolution of Words

I really enjoyed this FT review of a few books on the origin of words and misspellings. Especially interesting was this note on how dictionaries came to represent current language:

Why did the editors of Webster’s Third drop this lexicographic A-bomb (another addition to the dictionary)? Because views on dictionaries, indeed on language itself, had changed. Instead of laying down rules on how people should write and speak, dictionaries became records of how people did write and speak. And that meant all the people, not just those who spoke the educated language of New England. The new trends in lexicography went along with the growth of scientific method and Charles Darwin’s theory of evolution: lexicographers observed what was happening to the language, rather than handing down precepts. 

December 23, 2012 // This post is about: , , , ,