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miah reimann

@miah.rei

3 months ago
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
Photo by miah reimann on July 23, 2026.
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Posted On: July 24th 2026, 06:37 am
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@callie.hilyar
callie.hilyar
Skipped school back in march ⛰️
Comments (16)
sophie_binner 3 months ago

sophie_binner

Very adventurous of you!

rbullen 3 months ago

rbullen

I was just at Zion!! ❤️❤️ Your travels look amazing!

chasingthatbag17 3 months ago

chasingthatbag17

coolest roommate ever 🤩🤩

__andrewk18 3 months ago

__andrewk18

comment media

__andrewk18 3 months ago

__andrewk18

Miah is alive 💃

annijoysorensen 3 months ago

annijoysorensen

So cool

nancy6929 3 months ago

nancy6929

So freaking cuteness

aaiden.max 3 months ago

aaiden.max

Your honor she won’t stop posting 3 months late

abbe.johnson 3 months ago

abbe.johnson

That’s fuckin awesome

callie.hilyar 3 months ago

callie.hilyar

no way she posted

callie.hilyar 3 months ago

callie.hilyar

legit best trip of my life

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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.
Мы 😂😂😂😂😂😂😂
discussing my pumpkin tweet 🎃 (also happy halloween)
Snow drive is the best drive ❄️🎄 this is how it feels to drive in a snowstorm and see the holiday lights 🤍🌨️ #chicago #chicagodowntown #downtown #snowinchicago #chicagoskyline
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