sayobaby💫
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Ding ding ding 🛎️
Sign up ahead of our launch and be the first to know all the juicy details of everything MyFitHub has in store including early preview of service providers, discounts on subscriptions and many more.
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What I find interesting is that some people could have just gone with the simple conclusion that, "these people are inferior to the white man, they can never make it".
This is why I can never rate the Nigerians who parrot the "black man inferior" narrative.
Somi❤️@SomiEkhasomhi
People used to urinate in the elevators in Singapore. When they moved from shanties to high rises, they would urinate in the elevators. Buildings installed devices that would stop the elevator when it detected urine so the offender would be arrested, but that didn’t stop them.
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I fucking love that song omgggg MARRY THAT GIRLLLL MARRY HER ANYWAY!!!
GIF
largest rodent@capybaroness
the worst song of all time is rude by magic by the way
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I recommend following Women in Data Network on LinkedIn for future events!
linkedin.com/company/women-…
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this and "hi, _____ here!" are my least favorite modern internet speech patterns. i can't stand it
jimmy falun gong@eviIcherub
can we all agree to stop talking like this
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If you're a woman in data in London, or looking to get into data, you should join us at Cloudflare's office on Friday, 25th of July at 4pm🥳. We'll walk through a complete data science workflow from raw data to a working, interactive model. eventbrite.com/e/building-dat…
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The girls are back again with another data event!! Its free and its going to be fun. Snacks and drinks will be provided as always
eventbrite.com/e/building-dat…
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LLMs are massive cheating machines.
All the intelligence comes from the millions of intelligent human beings that wrote the texts that LLM practitioners scrape from the internet.
There is no new science of intelligence in LLMs. Linguists have known for a long time that language is highly statistical.
"You shall know a word by the company it keeps." ~ John Firth in 1957
LLMs only appear to be intelligent. They're faking it by computing the stats of word embeddings. Intelligence doesn't come from the stats. It's the other way around. Is it any wonder that LLMs fail at simple logic problems that lie outside their training data? No, because that's what cheating is all about.
Sergey Levine@svlevine
I always found it puzzling how language models learn so much from next-token prediction, while video models learn so little from next frame prediction. Maybe it's because LLMs are actually brain scanners in disguise. Idle musings in my new blog post: sergeylevine.substack.com/p/language-mod…
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