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Katrin Müller

@katrinruns_

a year ago
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Posted On: July 15th 2025, 07:49 am
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@the.cupcake.cartel
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@fra_fighter
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@infinitnutrition.eu
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@cupcke.apparel
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Mein Challenge Roth 2025 Tag 💥💥💥🫶🏻

#thecupcakecartel #racedayready #infinitnutrition #swimbikerunworld #runtheworld #whereirun #darumlaufenwir #whereiride #ciclistafeminina #challengeroth
Comments (14)
goldberg_entertainment 5 months ago

goldberg_entertainment

🔥🔥🔥🔥

wellnesshacker 10 months ago

wellnesshacker

This is sehr cool Katrin! I'm doing challenge Roth 2026, I would love to pick your brain! 🤩

meesha_a_plutislav a year ago

meesha_a_plutislav

🥹🥹🥹

gronaujurgen a year ago

gronaujurgen

.. toll. 👍💪🤙

tine.appletree a year ago

tine.appletree

Sooo cool 🙌🏻

iron_oppi a year ago

iron_oppi

Sehr stark💪, sehr schön und viele Emotionen😀Und was für ein Zieleinlauf🥰. Warum werden Kinder so schnell groß 🤣 Lg

laufhummi a year ago

laufhummi

Du Maschine 💥💥💥

running_with_jacky a year ago

running_with_jacky

❤️

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Бишкектеги төрөт үйүндө дарыгерлер менен жаңжалдашкан кош бойлуу келиндин окуясы боюнча түшүндүрмө беришти   Келин өзү тарткан видео социалдык тармактарга тарап жатат.   Улуттук эне жана баланы коргоо борборунун №6 төрөт үйүнүн маалыматына караганда, 23 жаштагы аял 31-октябрда ичинин төмөн жагы сыздап жатат деп кайрылган. Дарыгерлерге түйүлдүктөн суу кетип жатканын айткан.   “Аял эки жолу текшерүүдөн өттү. Экөөндө тең терс жыйынтык чыккан. УЗИде түйүлдүктүн суусунун көлөмү нормада экени аныкталган. Суу кеткени тастыкталган эмес”, — деп билдиришти төрөт үйүнөн.   Медициналык көзөмөлдө кармаганга негиз жок болгондуктан, бейтап 2-ноябрда үйгө чыгарылган.
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.
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