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)
antifuchs
joined 1 year ago
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.
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"
Here’s Dave Barry, still-alive humorist, sneering at Google AI summaries, one of the most embarrassing features Google ever shipped.
Ice cream head of artificial intelligence