__mharrison__

I have multiple ski jackets and ski a couple times a week. No broken YKK zippers.

Do you know a better zipper?

Make sure your bag has YKK zippers (if it has zippers).

I used to sell outdoor equipment. If a brand cheaps out on zippers, I wouldn't trust it.

I really like my Patagonia Black hole mini MLC. Awesome access. Fits under an airplane seat. Generous laptop padding. Excellent zippers. Water bottle pocket. Lovely warranty (Patagonia store nearby often gives new product when I try to get product repaired).

Probably not because GD is not electric music. Also, there is/was a big taper scene there. This sounds like there was no recording going on.

I've seen some success teaching data scientists how to write better code. SWE concepts like modularity, testing, and refuse. Things that they normally ignore or choose to throw out the window.

(Disclosure: I'm a corporate trainer)

Folks were confused by my comment. I've created courses for most well known technical course providers.

Some do all the editing for you. Others make you do the editing. Some do "in between". Where they do some edits but then ask you to validate, etc.

That middle group has always been annoying because it has been a huge context shift. By the time I go through their questions, it's typically easier for me to do the full edit myself.

No, I'm not editing a feature length movie.

Davinci resolve studio is awesome.

I've been editing my videos by transcription for the past two years. Can edit very quickly. Takes about 2 hours to edit a one hour video. It's actually faster than working with an editor.

My high school AP calculus teacher required everyone in the class to learn to juggle (3 balls) by the end of year to pass the class.

Seemed annoying then.

Seems radical now.

Kudos for the crazy hack (fast swipe). I'm in the aerospace crowd...

This is cool. It's not for everyone and probably very heavy.

But I love the hacker feel of it.

Cool, I've been doing a lot of "coding" (and other typing tasks) recently by tapping a button on my Stream Deck. It starts recording me until I tap it again. At which point, it transcribes the recording and plops it into the paste buffer.

The button next to it pastes when I press it. If I press it again, it hits the enter command.

You can get a lot done with two buttons.

Just bought a lily 58 from these guys. Highly recommended https://typeractive.xyz/pages/build#lily58_choc

Bought my ergoxdoxen from them when they were just starting out.

They even sent me a gift box because my blog post about the keyboard had driven so much traffic. It had a CST mouse in it (among other things).

Still using the mouse.

Nowadays you can buy awesome small batch keyboards from small vendors.

Not at my computer now, either 27 or 35b not quantized.

Next week I will be trying qwopus 27b.

Yeah, it's really good. Probably going to be the next best deal until they cut back.

I need to try the command line version.

I recently experimented creating a Python library from scratch with Codex. After I was done, I took the PRD and Task list that was generated and fed them to opencode with Qwen 3.5 running locally.

Opencode was able to create the library as well. It just took about 2x longer.

For the past month, I've been claiming that $20/mo codex is the best deal in AI.

Now I'm going to have to find the new best deal.

I'd rather have the metadata from click and typing events and use that to create a davinci project...

I have a custom pandoc filter for callouts and index entries. None of the simple lightweight markup languages has complete support for writing a real book. Writing custom rst code is a pain (and no one else in the world uses it). (I say this as a 25-year Python veteran and as a docutils committer!)

I've written over a dozen books.

Have used asciidoc, HTML, word, latex, and rst.

Markdown is the least painful of all. It's not perfect but the others are worse.

(My custom stack uses markdown (or Jupyter notebooks converted to markdown). Pandoc plus some custom filters creates typst (for PDF) or epub.)

My sweet spot is something that runs on less than 128gb.

(I have a DGX Spark, and MBP w/ 128gb).

I just spent yesterday applying Kaparthy's autoresearch on an ML problem.

I teach ML for a living and was amazed with what the tokens gave back to me after many rounds of experiments. If Kaggle was still a thing, AI would generally beat it.

The challenge I've seen is that most data science/ml modeling work is quite weak. Folks don't even know the basic tools well. Not sure if giving AI to them will really open up many doors to them.

As always experts love minions of juniors doing their deeds. Non-experts get to wade through slop.

My understanding was that rubber ducking was using a different portion of your brain by speaking the words.

The same discovery often happens when you explain a problem to a coworker and midway through the explanation you say "nvm, I know what I did wrong"

Love it! Let those pip users find the compromised packages for us uv users.

Loc means nothing. Tokens burned is a better metric.

It's open source scratching an itch. But 99.9% of coders wouldn't know what the library is for. Those that do don't use agents for coding (in my experience sample size 1).

TBH there isn't much difference in pulling directly from GH.

Though I do like your Apple counterexample.

$100k was the quote of the project from sloccount... (No one paid me for this. I created it for myself.)

Doing my part to burn $50k tokens in a year as per the Jensen mandate.

sloccount

I realize this is controversial (and many Python folks would claim anti ethical). But I keep wondering if requiring a small payment for registering and updating packages would help. The money could go to maintaining pypix as well as automated AI analysis. Folks who really couldn't afford it could apply for sponsorship.