Instagram story viewer> @hannakd> Post
Hanna 🍌(hannakd)'s profile avatar

Hanna 🍌

@hannakd

3 years ago
Photo by Hanna 🍌 on October 26, 2023.
Photo by Hanna 🍌 on October 26, 2023.
Photo by Hanna 🍌 on October 26, 2023.
Photo by Hanna 🍌 on October 26, 2023.
Photo by Hanna 🍌 on October 26, 2023.
Photo by Hanna 🍌 on October 26, 2023.
Photo by Hanna 🍌 on October 26, 2023.
Photo by Hanna 🍌 on October 26, 2023.
Photo by Hanna 🍌 on October 26, 2023.
Photo by Hanna 🍌 on October 26, 2023.
Download
8
Posted On: October 26th 2023, 04:24 pm
Tagged Users:
@sicilianfoodlovers
sicilianfoodlovers
@brainwhite
brainwhite
@susafait
susafait
@mezzatorrehotel
mezzatorrehotel
πŸ·πŸ•πŸ₯–πŸ€˜πŸΌπŸΉπŸ₯πŸπŸ’–πŸ₯‚πŸ¦πŸƒ
Comments (8)
kaitmstephens 3 years ago

kaitmstephens

Well this looked fun

kara___kennedy 3 years ago

kara___kennedy

incredibile

margoannbrown 3 years ago

margoannbrown

Looks like a dream but happy you’re home 😘

hannah.k.white 3 years ago

hannah.k.white

Looks heavenly

rachaelpl 3 years ago

rachaelpl

Not enough food

michelleriis_ 3 years ago

michelleriis_

😍😍😍😍

katie_eyes 3 years ago

katie_eyes

πŸ…πŸπŸΉβ€οΈπŸ”₯

More posts

What a night. Let’s go! πŸ’™πŸ’™πŸ’™
I don’t even care no more
the best Halloween yetπŸ‘»
LinkΓΆping University professor Peter Jonsson is set to have his work presented in two weeks’ time at one of the most prestigious conferences in theoretical computer science. As of Monday, much of that work is β€œdead,” he says, after AI showed that a 27-year-old hypothesis underpinning it is wrong. Both OpenAI and Anthropic claimed this week to have disproved the exponential time hypothesis (ETH). Vast swaths of theoretical computer science research on complexity and algorithm design have been built on the premise that the effort it takes to solve certain problems increases exponentially with the size of the problem. Jonsson expects his predicament will be β€œvery common” at the IEEE Symposium on Foundations of Computer Science, where his work will be presented by one of his coauthors. β€œPeople will start the talks: β€˜ETH is false, half of my paper does not work,’” he says. It’s a vexing problem, Jonsson says, β€œbut at the same time, we learn a lot from it. And this is what science is about.” Researchers haven’t independently verified, let alone had time to fully understand, the AI-produced proofs, which both firms have published on GitHub in both natural language and its machine-checkable Lean format. OpenAI has asked the UC Santa Barbara computer scientists who originally proposed the hypothesis, plus an MIT academic who has refuted a version of ETH, to rally researchers to unpack the proofs. So far, this effort includes a Google form asking for volunteers and feedback, and a commitment from OpenAI to fund a conference on the topic. Tap the πŸ”— in bio to read the full story.
Back like they never left 🫢
back to up