https://sh.itjust.works/c/desire_paths Thanks!

And there’s a whole community for them! Not sure how to link to it though.

Knock knock. Who’s there? Boo! …

Ugh, yep!

Though in this case I guess there’s the benefit of engraved numbers providing accessibility.

Company started on Asana, individual teams jumped to Jira, company eventually followed. I was always accidentally creating blank tickets in Asana.

Yeah, if you don’t want the next dev (or your future self) to accidentally undo that corner case you fixed, better put a unit test on it.

So each universe just contains a simulation of all of the worst, most generic parts of itself, recreated by AIs, recursively? We’re the gods of a new universe being born that’s just social media bots posting for each other.

Just being forced to talk about how it’s going and what’s blocking can be helpful, so I’m glad you’re questioning for to be more useful, not doing a little rubber-ducking isn’t all bad.

My mom’s cat has learned that gloves = OK to claw, bare hands = no, improved from just clawing all the time. So, some cats may be able to learn correct context.

Am vegan. Did not like hot dog. Do not like vegan hot dog.

By the way, miso paste is a remarkable umami ingredient, and Vegetable Kingdom has some great plants-are-actually-delicious recipes.

Where does the NYPD keep getting these expensive but apparently useless robots?

Right. I care less about 60% less power, and more about will it randomly connect my phone to my car as my partner drives away instead to the speakers I was already using on the desk next to me.

Martha Wells. Finished the Murderbot series, wrapping up the Raksura. All very much of the same cloth, but I enjoy it.

Also recently discovered Naomi Novik’s Scholomance trilogy, I had only read her Temeraire books before.

There’s still a huge racial disparity in tech work forces. For one example, at Google according to their diversity report (page 66), their tech workforce is 4% Black versus 43% White and 50% Asian. Over the past 9 years (since 2014), that’s an increase from 1.5% to 4% for Black tech workers at Google.

There’s also plenty of news and research illuminating bias in trained models, from commercial facial recognition sets trained with >80% White faces to Timnit Gebru being fired from Google’s AI Ethics group for insisting on admitting bias and many more.

I also think it overlooks serious aspects of racial bias to say it’s hard. Certainly, photographic representation of a Black face is going to provide less contrast within the face than for lighter skin. But that’s also ingrained bias. The thing is people (including software engineers) solve tough problems constantly, have to choose which details to focus on, rely on our experiences, and our experience is centered around outselves. Of course racist outcomes and stereotypes are natural, but we can identify the likely harmful outcomes and work to counter them.