Yasya

@goldrocket27

812 Following

141 Followers

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Nillion 🤝 @monad-xyz The next wave of DeSci needs privacy and performance to scale. We are integrating with Monad to help the next generation of DeSci apps work with sensitive data privately and efficiently. More details 👇

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Nillion Lootboxes just got a revamp. This time, they're designed by the community, for the community. Each item in the lootbox is a hit but why tell when we can show ↴

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The garden 🏡 is my happy place 😊

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My beautiful flowers in the garden🌺🪻

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this badass bird eats almost exclusively bones it drops large bones from high altitudes onto rocks to shatter them into edible pieces and it dyes its feathers blood red by bathing in iron-rich mud to look even more intimidating.

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the club-winged manakin is the only bird that plays music with its bones it flaps its wings so fast during mating dances that the bones vibrate like a violin string yes, this bird literally sings with its skeleton they look cool tho

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the only token launchpad with any soul is @clanker

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rumor has it that nillion is going to make warpcast blind like, in a good way though not a bad way https://warpcast.com/nillion

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has anybody checked on the lawn points leaderboard lately? https://steventhelawnmoaner.vercel.app/

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LLMs like chatbots, translators, and sentiment analyzers are everywhere now. But that power comes with risk. Using them often means sharing private information like names, addresses, medical records, even how you talk.

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Fission is FAST! It runs models like GPT and BERT 3-8x faster than Crypten, without leaking your data. Imagine interacting with an AI that's quick, smart, and truly private.

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Most private AI systems either leak data or are painfully slow. Fission changes that! It uses secure multiparty computation (MPC) to protect sensitive parts of the model, and speeds up the tasks, keeping your info safe and making AI truly useful.

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Dive into the full announcement here: https://nillion.com/news/fission-distributed-privacy-preserving-large-language-model-inference/

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We have released a new paper that discusses a new Multi-Party Computation (MPC) protocol we’ve created that evaluates a sum or products (i.e. multivariate polynomials) with non-zero inputs across a network. https://twitter.com/nillionnetwork/status/1722995682607255913

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Nillion 🤝 Meta Excited to introduce Fission, our latest paper making secure, private, and fast large language models (LLMs) a reality.

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