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Pilot V

@venturewithv

4 months ago
Photo by Pilot V on July 03, 2026.
Photo by Pilot V on July 03, 2026.
Photo by Pilot V on July 03, 2026.
Photo by Pilot V on July 03, 2026.
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Posted On: July 4th 2026, 01:08 am
Tagged Users:
@56rozayy
56rozayy
@mylittlerosebudshop
mylittlerosebudshop
Always Forever & After That ♾️
Comments (21)
eron.kyle 4 months ago

eron.kyle

Happy Anniversary sweetheart 💞

still.push 4 months ago

still.push

Happy anniversary!!!!

courtneymarie_presents 4 months ago

courtneymarie_presents

Happy Anniversary 🌹❤️🎊

7bnice 4 months ago

7bnice

Happy Anniversary ❤️🥂❤️

mylittlerosebudshop 4 months ago

mylittlerosebudshop

Oh period 😍😍😍

pilot__bae 4 months ago

pilot__bae

😍🥂

marquia_ 4 months ago

marquia_

Happy Anniversary yall 🥹❤️

davriellegrenway 4 months ago

davriellegrenway

Big purr!! Happy Anniversaryyyy!!! 🥂❤️

an_drebeats 4 months ago

an_drebeats

Happy Anni to the Ross’s! 🔥

smileysulaf 4 months ago

smileysulaf

Queeeeennn period ❤️

curlyhair.adventures 4 months ago

curlyhair.adventures

Okay 👏🏾👏🏾👏🏾

pilot.alejandra 4 months ago

pilot.alejandra

Queen treatment only 😍

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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.
Thoughts? #fyp #explorepage #comic #repost #halloween2026
SGA PUT ON A MASTERCLASS 🔥🍿
هميشه تو در جايى از من خواهى بود شايد در يادم شايد در قلبم و شايد در هر قدمى كه بردارم... فروغ فرخزاد.
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Perfect November day with gossip & walks🧸🤎✨
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