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The Chess Vault

@brilliantchessvault

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Posted On: March 20th 2026, 12:52 pm
Hikaru Nakamura's Brilliancy💎(16)#chess #hikaru #hikarunakamura #brilliantmove #chessmaster #edit
#nakamura #chessedit #chessgame #chessplayer #chessmaster #chessmoves #checkmate #chesstactics #chessstrategy #chesslife #grandmaster #chessvideo #goodfeelsdaily #tacticalchess #chesscombination #gmhikaru

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저 구해주시는 건가요? Are you guys... saving me? Created with @zcre.co.kr #seedance25 #aifilm #shortfilm
Wrap sweater, save or splurge? Comment “link” for details, my thoughts: They look fairly similar but the knits are quite different and the Amazon sweater is smaller and is a true wrap top. I sized up in both. I do quite like the fit of the Amazon sweater too and might exchange for a different color. Aritzia wrap sweater, Amazon wrap sweater, wrap sweater comparison, wrap sweater, Amazon sweater, Aritzia sweater
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.
Jai Govinda ✨ Happy Diwali 🪔 Have to experience it to believe it. Blessings, so many blessings 🙏 . . . Thank you @manusaibakshi for this 🤍
another one thank you #halloween #draft #viral #dance #fyp
The wait is officially over! Say hello to … . . “Heirloom Noel” — Our 2026 Christmas 🕯️🎄🍎 An old-fashioned, timeless Christmas that feels warm and nostalgic with natural and classic trimmings & decor, loads of cozy layers, traditional patterns, collected finds, vintage treasures, family heirlooms, cottage style, and historical charm ✨ ✔️ Follow along for more Christmas magic! Up next, I’ll be sharing stills of my 2026 Christmas tree and what inspired this year’s Christmas theme! Any guesses? ✔️ Comment Link to shop our @kingofchristmas trees and Christmas decor . . . . . #christmas #christmastree #christmas2026 #christmasinspiration #nostalgicchristmas
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