An amazing new project from @bearpelican was just released: https://t.co/DBov6sZTVS . A beautiful design; you can auto-generate a melody from chords, chords from a melody, and more.

It's technically brilliant, combining BERT, seq2seq, and Transformer XL
https://t.co/jF3mO5aXiu

THREAD: 15 of the most useful razors and rules I've found.

Rules of thumb that simplify decisions.

Bezos' Razors:

• If unsure what action to take, let your 80-year-old self make it.

• If unsure who to work with, pick the person that has the best chances of breaking you out of a 3rd world prison.

Skinner's Law:

• If procrastinating on an item, you only have 2 options:

1. Make the pain of not doing it greater than the pain of doing it.

2. Make the pleasure of doing it greater than the pleasure of not doing it.

Luck Razor:

• If stuck with 2 equal options, pick the one that feels like it will produce the most luck later down the line.

I used this razor to go for drinks with a stranger rather than watch Netflix.

In hindsight, it was the highest ROI decision I've ever made.

Bragging Razor:

• If someone brags about their success or happiness, assume it’s half what they claim.

• If someone downplays their success or happiness, assume it’s double what they claim.

The map is not the terrain.

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.

1/People I know on the Right tend to be obsessed with the idea of "crimethink", taboos, and the (supposedly) oppressive, omnipresent enforcement of liberal cultural norms.

Why?

My new theory: A lot of it is guilt.

2/It's true that in some circles - the media, universities, many big corporations - liberal norms *are* enforced to some degree, and the enforcement has probably gotten stronger in recent years.

But I don't think this explains all of the Right's obsession.

3/The stereotype is that people on the Right tend to be more threat-sensitive. That would help explain the perception that liberal norm-enforcers are lurking everywhere, ready to pounce and anathematize anyone who makes a misstep.

But I don't think that's all of it either.

4/And of course, it's always fun - whether you're on the Right or the Left, or playing a video game, or whatever - to style yourself as the brave iconoclastic rebel fighting against the oppressive forces of blah blah blah.

But I don't think this is all of it, either.

5/The reason I think it's more than these things is that even *in private*, people on the Right express their "crimethink" ideas very gingerly and hesitantly.

I get the sense that they're not just afraid of external censure, but have also internalized liberal norms.