＠kearneymw

My daughter has no idea the pain she is standing on.

Best use of NFTs.

I don’t know what’s going on. I don’t know technology. I don’t know what AI is. I don’t think you get to know what AI is and also see a donkey jump off a high dive. I think it was one or the other, and I saw the donkey, so I’m out.

TIL about jeep ducking and I’m comforted to know I don’t just keep seeing the same jeep all over town

KPop Demon Hunters is modern day Wizard of Oz I said it.

You should use AI while coding. You should also understand every piece of code you commit. Try to at least. Not everyone seems to agree. So here are 2 obvious signs that someone has mindlessly passed along Copilot generated python code:
- consistent, sentenced capitalized code comments
- filtered_df

That’s tough to overcome

I’ve tried convincing myself for the past 2 years that pyspark doesn’t stink. But it’s the worst. I can’t wait for something better to come along.

If you’re code requires .cache() to work properly, either your code stinks or the framework you’re using stinks.

Also, this paper is worth a read. The authors carve out an interesting slice of AI for communication research while also attempting to claim the whole thing (respect). The former is definitely worth considering and refining. Maybe in another year or two I’ll dabble in some applied reflections.

Basically all the work I was doing would have been considered AI. But this is the direct call out:

A Scholarly Definition of Artificial Intelligence (AI): Advancing AI as a Conceptual Framework in Communication Research Research on Artificial Intelligence (AI) in communication research is gaining broader interest. This interdisciplinary interest has yet to be supported by a systematic scholarly definition and by a...

Did I call my work AI at the time? No. Am I glad it gets called out as AI now? Yes. Should people have realized the value of this work years ago. Also yes. Looking at you, people I ultimately still like but wish things could have worked out differently 👀🐅 doi.org/10.1080/1058...

🤤

Feature request: ability to set `Automatically roxygenize when running` options in `*.Rproj` files · Issue #2900 · rstudio/rstudio When working in Rstudio projects (for writing R packages), I would like to be able to control/customize Automatically roxygenize when running via the *.Rproj file. System details RStudio Edition : ...

An issue (feature request) I opened for RStudio 7 years ago was recently fulfilled and closed. Amazing. github.com/rstudio/rstu...

Fragile conscience lol

Well the alternative is Azure DevOps so not really a unique concern there. If it’s *good* you’re looking for I suggest you withhold your judgment from sparse social media posts my friend. I’m fairly certain over a lunch you’d feel decent about my contributions. WE CANT ALL BE PERFECT! 😅

a man says it feels like home to me pauly d. ALT: a man says it feels like home to me pauly d.

Finally after all this time I’ve finally found my way to GitHub as a part of my actual job.

Synchronous = 23.5 hours
Async + parallel = 20 mins

I *only* present slides that I want to drain.

a man wearing a surgical gown and a mask says but why ALT: a man wearing a surgical gown and a mask says but why

Pyspark where your code can be correct but because of weird spark things you must include a .cache() else you will leak data in each fold.

The Data Science moment has indeed ended.

Thank you for the past ten years, @rdpeng.org and @hspter.bsky.social!

My 4-year-old daughter just wrote a note to her 5-year-old cousin. I helped her spell her cousin’s name. A couple of minutes later, she asked how to spell “Like and subscribe.”

They call it Staples because they use staples to repackage your Amazon returns.

My daughter thinks it’s hilarious that I referred to my phone’s background image as a “wallpaper.”

Being an adult means appreciating that Kevin McCallister’s mom is one of the most talented people alive.

Our CTO frequently says, “Feedback is a gift, y’all,” and it is one of my favorite things.

This law firm thing seems especially clear cut (i.e., indefensible) and wild.

This project is so creative/simple/brilliant.

There are two kinds of data scientists. Those who have owned production code running daily for over a year and those who have not.

Here’s a pet peeve:

👉 Using “simplistic” (oversimplified, reductive) when you actually mean “simple” (clear, straightforward).

Example: it’s less complicated than we thought, so let’s implement a simplistic solution and move on!