Yep. My memory is propped up by a tweet back then that my (now deleted) tweeter account must have retweeted. Oral history is all we get in this glorious world where data is so vigorously duplicated

I’m pretty sure the term was used by Gamergate harassers back in 2014 already. Fits the whole “this was a rehearsal for the real thing” framing too.

There’s not a whole lot of clear info out there but it looks like the Tesla “dog mode” (the feature you’re supposed to rely on when you leave a dog in the car so the dog doesn’t overheat and die) is prone to failure and has recently killed a dog.

That’s certainly true, but the register has had a mean-spirited and anti-intellectual bent for much longer than that. They’ve been doing shitty journalism since you could still buy independent local newspapers on paper.

That what they’ve been doing is mainstream now is only even more disappointing.

You don’t say, the register, taking journalistic integrity less than serious? (Hi, it’s me, a person who has been annoyed by their editorial choices for more than two decades now)

I think you’re misreading the intent behind “give your virtual coworker OKRs”: this allows you to punish the robot, which it deserves.

And thus I was enlightened

The last conundrum of our time: of course steel capped work boots would hurt more but barefoot would allow faster (and therefore more) kicks.

clanker wanker

Ice cream head of artificial intelligence

lol, lmao: as if any cloud service had any intention at all of actually deleting data instead of tombstoning it for arbitrary lengths of time. (And that’s the least stupid factor in this whole scheme; is this satire? Nobody seems to be able to tell me)

JFC this hurt me to read, as a person who enjoys folk songs played on old instruments. They think this is genetic?!

I’m excited that Silicon Valley tech has finally managed to invent thinking. Makes this book obsolete at long last.

From the people who brought you performance review season: a way to evaluate code quality of humans and machines

I didn’t see this article here yet, but I just saw it elsewhere and it’s pretty good: Potemkin Understanding in Large Language Models

At least Microsoft Bob gave us comic sans.

If you wanted a vision of the future of autocomplete, imagine a computer failing at predicting what you’re gonna write but absolutely burning through kilowatts trying to, forever.

https://unstable.systems/@sop/114898566686215926

Forget counting the Rs in strawberry, biggest challenge to LLMs is not making up bullshit about recent events not in their training data

The whisper model has always been pretty crappy at these things: I use a speech to text system as an assistive input method when my RSI gets bad and it has support for whisper (because that supports more languages than the developer could train on their own infrastructure/time) since maybe 2022 or so: every time someone tries to use it, they run into hallucinated inputs in pauses - even with very good silence detection and noise filtering.

This is just not a use case of interest to the people making whisper, imagine that.

This incredible banger of a bug against whisper, the OpenAI speech to text engine:

Complete silence is always hallucinated as “ترجمة نانسي قنقر” in Arabic which translates as “Translation by Nancy Qunqar”