Instagram story viewer> @fer.fernanddezz> Post
Fernanda Fernandez(fer.fernanddezz)'s profile avatar

Fernanda Fernandez

@fer.fernanddezz

8 days ago
Download
7
Posted On: October 28th 2026, 09:33 pm
iCloud, mi mayor traidor 🙄
Comments (7)
viridiana_bonillaa 18 minutes ago

viridiana_bonillaa

Tú, mami extremadamente hot🔥

viry_hsx 7 days ago

viry_hsx

El "hubiera" 😢

fernandiland 8 days ago

fernandiland

Y Jorge el curioso

karen_rdriguez_18 8 days ago

karen_rdriguez_18

iCloud 🫩

jorgegonaredo 8 days ago

jorgegonaredo

zara?

alfarojas 8 days ago

alfarojas

Ese ICloud es canijo

More posts

سلسله‌ابروکمون مثل من کی دیده؟😍 این پست یه حمایتتت دااااش مشتی میخوادااا🫠😎 از اکسپلور میای عضو خانوادمون باش😍❤️ @yasiii_tablighat @ysm1739
CHANYEOL JAPAN TOUR 2026 -The Route- in #OSAKA 🎸 #CHANYEOL @real__pcy #EXO #weareoneEXO #CHANYEOL_JAPANTOUR_2026_TheRoute
Auditing my summer dresses with Mum 💕
Meet me on YouTube tomorrow, 05/11 by 12noon(wat) as I share this message as given to me by the Lord! Kindly share widely and see you there. It’s time to WAKE UP
I do my best to make you g@y 💕 but you are so much stright 😥 just forget Who I'm and look to my femininity #boytogirl #maletofemale #crossdresser #femboy #femininity
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.
back to up