Mouse | ❤️‍🩹 🏕️

872 posts

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Mouse | ❤️‍🩹 🏕️

Mouse | ❤️‍🩹 🏕️

@mouse8869

🫶🏻🥹❤️‍🩹

Katılım Kasım 2024
789 Takip Edilen374 Takipçiler
craken(❖,❖)
craken(❖,❖)@Sabitbroo·
Eid Mubarak to everyone 🌙✨ specially my @ritualnet Community May this special day bring your heart peace, your home happiness, and your community closer together. Enjoy the rituals, the feasts, and the company of loved ones. #EidMubarak #EidAlFitr #Blessings @joshsimenhoff @Jez_Cryptoz @dunken9718
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craken(❖,❖)@Sabitbroo

Gritual Weekend is over...,exam is near... Its University time for sigggy😎 @ritualnet @Jez_Cryptoz @joshsimenhoff @0xMadScientist @dunken9718

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Mouse | ❤️‍🩹 🏕️ retweetledi
October✨
October✨@sinceOctober8·
get free 1990$ $river airdrop 🪂 @River4fun is running a 14 day campaign anyone can join • cost - $0 • 10k points = 80+ $river ( $1900 potential) how to get started: • jump in - app.river.inc/fun?ref=sinceO… • connect your x + evm wallet • post about $river & tag @River4fun • more reach = more points = more rewards extra boost (optional): • head to stake • lock wbnb / usd1 for multiplier short campaign, easy farm your call if you fade it 🫠
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craken(❖,❖)
craken(❖,❖)@Sabitbroo·
Entering the Siggy Soul Forge to build our Own Siggy AI for @ritualnet our work is going fine till now. But we want your Help...... We want to make this As good as posible. USE it and Give us suggestions.Tell us what we can add to improve it. siggybai.vercel.app Special Shoutout to my Team members @aliorbz and @0xxahid for building this product #EngineerSiggysSoul @Jez_Cryptoz @joshsimenhoff @0xMadScientist @dunken9718
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ALI@aliorbz

Lol I'm amazed by my own work, who knew @ritualnet mascot Siggy could be this funny 🤣 SiggyBai been vibing with us since his birth. Also thanks to @Sabitbroo and @jahid0x, designing SiggyBai's personality and providing suggestions all the time. More updates coming as we are adding new attributes and data all the time. Try out SiggyBai at siggybai.vercel.app And if you got suggestions for me, please reply to this post or dm me directly, I need your help 💪 @ritualnet @0xMadScientist @Jez_Cryptoz @joshsimenhoff @dunken9718

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Lynx
Lynx@Lynxlearncrypto·
Happy Weekend y'all 😊
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ҡเɳɠ ☠ (❖,❖)
ҡเɳɠ ☠ (❖,❖)@SahilKumar82834·
Gritual Innovation often starts in the dark. Ritual is building the light enabling powerful computation so on-chain apps can explore what was once impossible @ritualnet @dunken9718 @Jez_Cryptoz
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ҡเɳɠ ☠ (❖,❖)@SahilKumar82834

Gritual guy's my new art 🎨 Speed matters Reliability matters more Ritual is building the infrastructure to deliver complex computation across chains efficiently, securely and right on time @ritualnet @ritualfnd

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Numaa
Numaa@ashmigg·
I am rocking my new profile picture and I can't stop staring at it. @0x_lady absolutely cooked with this one. She didn't just make art, she made me. Thank you so much for this wondearful gift. Love it so much. @SeismicSys @BharatWormie @xealistt @NoxxW3 @heathcliff_eth
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0xLady 🎨@0x_lady

I'm so proud of you, @ashmigg 💗 Magnitude 5 isn't just a number, it's a reflection of your talent and energy. Thank you for your responsiveness and kindness. This job is for you😇 @SeismicSys

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craken(❖,❖)
craken(❖,❖)@Sabitbroo·
No hopee.😓 First art for @PerleLabs
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craken(❖,❖)@Sabitbroo

Topic: Solving Edge Cases in Autonomous Vehicles with Perle Labs Autonomous vehicles perform well in structured environments like highways, where lanes are clear and behaviors are predictable. However, they often fail in unusual or rare situations known as edge cases. These include unexpected objects like a plastic bag flying across the road, a confusing or damaged traffic sign, or unpredictable pedestrian behavior. Traditional datasets may not contain enough of these rare events, making AI models less prepared. @PerleLabs addresses this challenge by using decentralized expert annotation. Through a network of skilled contributors, rare and complex driving scenarios are identified, labeled, and verified. This human insight at scale strengthens model training and improves safety. As a example If a self driving car misinterprets a fallen billboard as an obstacle, expert annotators label similar cases, helping the system learn correct responses.

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Rex
Rex@Rex_x08x·
DeFi's biggest lie: Higher APY = better. Everyone chases it. Protocols hype it. Users sort dashboards by it. Reality: Highest APY usually hides the most risk. Sophisticated money cares about risk-adjusted yield, not headlines.
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Mouse | ❤️‍🩹 🏕️
another focused thread on @NexusLabs every major technological leap reduces trust assumptions the internet reduced reliance on physical presence bitcoin reduced reliance on centralized money issuers smart contracts reduced reliance on intermediaries nexus reduces reliance on opaque computation in today’s systems execution is hidden logic is trusted results are assumed correct nexus flips that model execution can happen anywhere but results must be proven zero knowledge proofs compress complex computation into a verifiable statement the chain validates the proof not the entire workload this creates a powerful separation compute scales freely verification stays decentralized the result more complex applications stronger guarantees lower systemic risk nexus is not just increasing throughput it is increasing certainty and certainty is the foundation of truly decentralized systems
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Catz (❖,❖)
Catz (❖,❖)@catz_web3·
gRitual fam💚 Join the weekly Ritual Tech 101 every Saturday for the easiest explanations of crypto and Ritual topics Ita a great way to learn bout EVM + crypto topics Todays topic: Symphony and others 🩷
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craken(❖,❖)
craken(❖,❖)@Sabitbroo·
GRITUAL ALL Topic : Secure Data Privacy Layer @ritualnet introduces a Secure Data Privacy Layer designed to protect sensitive information during AI inference. Using strong cryptographic guarantees, the system ensures that inputs, outputs, and even the models themselves remain confidential even when computations are distributed across decentralized nodes. This means data is never unnecessarily exposed to node operators or third parties.Privacy is preserved not just at rest, but in use. Such protection is critical for industries like finance, healthcare, and digital identity, where data leaks can cause severe financial, legal, and reputational damage. By embedding privacy directly into its infrastructure, Ritual allows developers to build AI-powered applications without compromising user trust. The result is a decentralized AI ecosystem where intelligence and confidentiality grow together, making secure AI adoption possible at scale. Example: Imagine a healthcare app analyzing patient reports using AI..With Ritual’s privacy layer, the medical data stays encrypted during processing, ensuring doctors receive insights without exposing the patient’s confidential records to the network. @Jez_Cryptoz @joshsimenhoff @0xMadScientist @dunken9718
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craken(❖,❖)@Sabitbroo

Gritual GUYS TOPIC : The Power of Modular AI Networks @ritualnet is built as a truly modular AI execution network where compute nodes, verification layers, and privacy layers evolve independently. This architecture lets developers plug in new cryptographic methods or model types without redesigning the core system. As a result, scalability, security, and flexibility grow together. With this future ready foundation, Ritual is positioning itself as long term infrastructure for next generation AI. For example : Imagine a new zero-knowledge cryptographic method becomes popular. In a traditional system, the entire architecture might need redesigning. But in Ritual’s modular design, developers can upgrade only the verification layer while keeping the compute and privacy layers unchanged. This allows faster innovation, lower upgrade costs, and keeps the overall network stable and scalable. @joshsimenhoff @Jez_Cryptoz @0xMadScientist @dunken9718

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Vartika
Vartika@Vartiikaaa·
who's your favourite creator on X ?
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Mouse | ❤️‍🩹 🏕️
crypto talks about decentralization but decentralization without verifiability is incomplete if complex systems still rely on opaque computation then trust has only shifted not disappeared @NexusLabs addresses this gap by making computation itself verifiable not just transactions any system that produces an output pricing models ai inference matching engines risk calculations can generate a cryptographic proof of correctness the chain does not need to re run the logic it only needs to verify the proof this reduces cost increases scalability and preserves security the impact is structural applications can become more sophisticated without compromising decentralization nexus extends blockchain from a settlement layer into a universal verification layer where correctness is provable and trust is minimized by design
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