Instagram story viewer> @kkeyasia> Post
keyasia ♱(kkeyasia)'s profile avatar

keyasia ♱

@kkeyasia

8 months ago
Photo by keyasia ♱ on March 15, 2026.
Photo by keyasia ♱ on March 15, 2026.
Photo by keyasia ♱ on March 15, 2026.
Photo by keyasia ♱ on March 15, 2026.
Photo by keyasia ♱ on March 15, 2026.
Photo by keyasia ♱ on March 15, 2026.
Download
23
Posted On: March 15th 2026, 05:28 pm
Tagged Users:
@isabella.emilyy
isabella.emilyy
quick stop
Comments (23)
ashantibunton 7 months ago

ashantibunton

tea

ximahra 8 months ago

ximahra

😍😍😍😍

fivestrchic 8 months ago

fivestrchic

oh abbbbsolutely 😍😍😍😍

ra.dapo 8 months ago

ra.dapo

The queen is back 👏👏

notmartn_ 8 months ago

notmartn_

Third slide is sweeet

vfabuluje 8 months ago

vfabuluje

Okay then 👏👏

neesy.topluto 8 months ago

neesy.topluto

😍😍

julia.gillis 8 months ago

julia.gillis

Killer

hholliee_ 8 months ago

hholliee_

ooooo its muggy in hereeeeee

onika.nn 8 months ago

onika.nn

😍😍

_allhailthegoat 8 months ago

_allhailthegoat

😍🔥❤️

suhaavi.rattan 8 months ago

suhaavi.rattan

the baddest to do it

Load More

More posts

Linköping 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 “dead,” 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 “very common” at the IEEE Symposium on Foundations of Computer Science, where his work will be presented by one of his coauthors. “People will start the talks: ‘ETH is false, half of my paper does not work,’” he says. It’s a vexing problem, Jonsson says, “but 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 🔗 in bio to read the full story.
Pumpkin spice season love #redhead #ginger #whitechocolate #houston #htx
🎃Happy Halloween!!!👻 I am ready in my black LATEX cat outfit🐈‍⬛ Catsuit made by @brightandshinystore Hood made by @mkllatexcouture Paws made by myself Shine by @vivishine.community2.0
عجله چرا؟🤦🏻‍♂️🤣
The final chapter. What are you gonna tell them? #NL #seniorszn #booktitle
Trick or treat? 👀🕷️
back to up