Chris Dillon squarism

Using Claude 3.5 Sonnet Pro, I asked it to generate prose paragraphs.

Using a stopwatch, I started timing when I started seeing characters appear and stopped when the LLM stopped sending text. I figure that the latency is the same both ways so I do not need to compensate for that.

Run 1 - 6.4 sec - 252 words (2362 WPM)
Run 2 - 6.6 sec - 239 words (2172 WPM)
Run 3 - 7.5 sec - 273 words (2184 WPM)

There are a few lists already, I thought I'd create another one so we can have a long list of lists someday. 🤠 Ordered by approximately which ones I actually use often.

Modern CLI Replacements

zoxide - A smarter cd command. Supports all major shells.
mcfly - Fly through your shell history. Great Scott!
Procs - A modern replacement for ps written in Rust
sd - Intuitive find & replace CLI (sed alternative)
dust - A more intuitive version of du in rust
hyperfine - A command-line benchmarking tool

Credit to Time Johnsen

⚠️ Please consider that this might not be a good idea. It's up to you. I feel like spammers are going to spam, so, idk.

How to Automatically Reply Stop to SMS Spam

Open Shortcuts
Click the bottom tab Automation at the bottom center. It's not Shortcuts, it's Automation.
Create a new Automation using + at the top. This will open Personal Automation and you'll be looking at a list.

Creating a Merge Conflict on Purpose

For this demo, we will be using node/javascript and NPM, only because it is sort of a lingua franca.

Let's create a merge conflict. It's pretty easy to do.

Fork a branch, add a dependency.
On the main branch, add another dependency.
Now the poor person on the feature branch will get a merge conflict on the lock file when they "catch up on main".

	Ground Truth is me, a human, asserted the answer. GPT 4.0 did 10/10 (over ChatGPT voice on the mobile app no less).

	This is a really terrible ML eval, it's accuracy only. The more real version of this would be hundreds of questions,
	lots of data and lots of work. If you aren't putting the work in then your users are. It's the same as functional
	testing except with a new-ish data concept, many things in AI/ML are like this. The data is the foreign part to general
	software dev.

	Perplexity is https://labs.perplexity.ai/

	#_preseed_V1



	# <CHECK_THIS>
	d-i debian-installer/locale string en_US
	d-i keyboard-configuration/xkb-keymap select us

	require 'drb/drb'

	DRb.start_service

	remote = DRbObject.new_with_uri("druby://localhost:8787")
	remote.pid
	# => <some pid>
	# you can verify the PIDs with top and you can filter by process name like ruby or irb or something

	# Things have changed in postgres 15.x+

	$ createdb -O <your shell uid> foo_dev
	$ createuser foo

	$ psql
	psql> grant all privileges on database foo_dev to foo;
	psql> alter user foo with encrypted password 'random-password';

	# enter the database that you just created

	// User password resets could benefit from railroad error handling
	// because there are so many things to go wrong along the way
	//
	// 1. I forgot my password, send me a link
	// 2. I got the link, let me enter a new password
	// 3. Password and confirmation must match
	// 4. Password must be at least 8, etc
	// 5. Password was saved successfully
	//
	// There are many things that can go wrong and having a transaction

	# stages:
	# - whatever
	# - test

	vitest:
	stage: test
	script:
	# assuming scripts: has "test": "vitest" ...
	# run your tests with coverage output
	- npm test -- run --coverage