Tor00_1(00.1%)

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Tor00_1(00.1%)

Tor00_1(00.1%)

@cryptoo_tor

epic

WEB3 เข้าร่วม Şubat 2022
391 กำลังติดตาม737 ผู้ติดตาม
ทวีตที่ปักหมุด
Tor00_1(00.1%)
Tor00_1(00.1%)@cryptoo_tor·
Launching the legendary MagicBlock Quiz Challenge - become part of history! 🏆 Your mission is simple yet epic: 1.Take the quiz - test your @magicblock knowledge and prove you're a true wizard 🧙‍♂️ 2.Get your certificate - score 8+/10 for a personalized achievement 3.Share your result - MUST do a quote retweet of this post with your certificate and tag me @cryptoo_tor, otherwise I won't see your result! 4.Enter the Hall of Fame - become one of the first pioneers! Why this challenge is special: ✨ FIRST 12 participants get legendary status in our Hall of Fame ✨ Top 3 in each category (10/10, 9/10, 8/10) will be immortalized ✨ Your name, your certificate, your glory - forever in MagicBlock history How to participate: 🔮 Go to: magichub-nine.vercel.app and click "take the quiz now" in the main menu 🧪 Answer all 10 questions 🎨 Customize your certificate (username + avatar) 📱 MUST: quote retweet this post with your certificate + tag @cryptoo_tor The clock is ticking - spots are limited! Will you be among the first 12 legends? THE CHALLENGE STARTS NOW! @16vivz @simpletox26
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adam denzel
adam denzel@adam_denzelxj·
new challenge idea show me what device you’re running kast on phone? tablet? Your task: Show a photo Quote this post and tag it @KASTxyz let's show the power of community @Coleta_Cripto
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SaigonСat.(❖,❖)😼
At first, they say that @risechain will be slower than its competitors because we have less investment, but I’d argue that the amount of investment isn’t always the most important factor What do we see now? Risechain has been the top consumer of EigenDA blob objects over the past 14 days And this is just the testnet
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Shmon.eth🦇
Shmon.eth🦇@CryptoShmon·
The mascots and I are already choosing summer meadows for recreation. What are you doing? @pharos_network
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CryptoNotes
CryptoNotes@_CryptoNotes_·
. @Nerochain_io just locked in AUSTRAC registration in Australia That means regulated digital currency exchange operations, real world asset tokenization including gold and silver full compliance framework baked in One step closer to self sovereign on chain economies backed by institutional grade infrastructure More coming as gear up for launch
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NTAECH(⨀,)
NTAECH(⨀,)@thentaech·
One year ago in March 2025, I started my journey with the @billions_ntwk 🚀 It’s been an incredible ride of growth, learning, and networking. Grateful for the community and the opportunities this platform has provided. Here’s to many more milestones ahead! 🥂📈
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Alinetla🦋
Alinetla🦋@Al1netla·
back then making $1000+ a month felt easy i caught the ambassador era at its peak 2+ years of stability, wasn’t that the dream? + time to grow and improve but now i see a different picture ambassador roles just aren’t what they used to be stability is gone + competition is way higher honestly, it felt more prestigious back then than it does now what do you think? am i right or am i doing something wrong?
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temuru
temuru@0xTemuru·
been looking at s3 river4fun results lately and some people really ate good 200 million river points got distributed 63k+ users claimed their bags daily grinders who posted consistently pulled thousands $RIVER few even walked with 5-figure payouts when price hit $10 ath s4 feels way more enjoyable this time the daily posting flows smooth, multipliers actually reward real activity and the whole grind hits different im back at zero and genuinely having fun farming again you still in s4 or missed the wave? drop your points or strategy @River4fun @RiverdotInc
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Stillness
Stillness@silenceinwater·
US X IRAN CEASEFIRE !!! Trading volume on Polymarket has exceeded $34 million. Participants are betting millions, but is there a clear advantage? That’s exactly what I’m getting at! Each date has its own percentage December 31 75–77% over $34 million June 30 58–62% $1.1 million May 31 51–53% $1 million April 30 40% $2.6 million March 31 13% $10.5 million My opinion, backed by facts and the edge: December 31 (75%+): A safe long bet. Support at 77%, Trump is pushing for a deal—a year is enough for negotiations. June 30 (58–62%): A profitable deal! After March 31, the odds rise sharply. ​ May 31 (51%): A “coin toss” with a “Yes” edge — fresh news about backchannel negotiations. March 31 (13%): “No” for good — $10 million on “No,” too early for peace. The market has changed: June +4% last week, December stable. If the escalation subsides — June will soar to 70%!
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mussed.
mussed.@mussed1703·
2,300 new players, planets for 480 SOL, $44,000 paid out to players What am I talking about? @colonythegame is a game developed specifically for Solana Mobile It runs on Ephemeral Rollups from @magicblock , so interactions happen in real time, with no gas fees! Mint a planet, mine resources, trade, and compete on the leaderboard for treasury rewards Season 1 has already started, but you can still join! @MagicIntern @16vivz
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Tor00_1(00.1%)
Tor00_1(00.1%)@cryptoo_tor·
hopped into the @magicblock Number challenge today 🧙‍♂️ gotta say - these little number puzzles always mess with my brain in the best way you sit there thinking you've got it all figured out, then suddenly you're four levels deep and questioning your entire existence ended up with 4 288 points not too shabby if i say so myself, though i definitely lost focus the whole format is super addictive. one more run? yeah… i said that three times already score to beat: 4 288 think you can do better? 👀 From: @JackS48301
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Tor00_1(00.1%)
Tor00_1(00.1%)@cryptoo_tor·
🧠@OpenGradient could have prevented this In 1979, a robot at a Ford plant killed a worker named Robert Williams - the machine struck him in the head, kept working for 30 more minutes, and nobody found him until it was too late The sensors had classified him as an inanimate object and just kept going That was 46 years ago. Since then robots got a thousand times smarter and the accountability problem got exactly zero times better When a robot injures someone today, the first question is always the same - what exactly did the AI decide and why. And the answer is always the same - nobody knows There's no log of the actual decision, no proof of what model ran, no way to verify the input data wasn't corrupted before the machine moved. You're left reconstructing what happened entirely from the outcome Figure AI deployed humanoid robots at BMW's factory in 2025 and a whistleblower sued, claiming internal tests showed the robots could fracture a human skull and the company knew about it Tesla is being sued for $51 million after a robotic arm knocked a worker unconscious at their Fremont plant. In both cases the core problem is identical - nobody can prove what the AI actually decided at the moment of the incident This is exactly the gap OpenGradient is building into Every time a robot makes a decision on OpenGradient's network, a cryptographic proof gets generated before the machine moves - which model ran, what sensor data it received, whether the output was tampered with before actuation Written onchain, independently checkable by the factory, the regulator, the injured worker's lawyer, anyone who needs to know So instead of "the robot malfunctioned" with zero paper trail, you get something concrete: model version 2.3.1 ran at 14:32:07, received clean sensor input, output was move left 40cm, proof hash on-chain - not reconstructed after the lawsuit, but recorded before the arm even started moving Robert Williams died in 1979 and nobody could reconstruct what the machine decided In 2025 we're still having the exact same conversation at BMW and Tesla, and @OpenGradient is the first time that actually changes at the infrastructure level
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Tor00_1(00.1%)
Tor00_1(00.1%)@cryptoo_tor·
🔬 In 2015 scientists tried to reproduce 100 psychology experiments. Only 39 of them held up. @OpenGradient can make sure this never happens again 🔸This wasn't a fraud scandal - the scientists weren't lying. When other teams took the same data and ran the same experiments, the results just didn't match 🔸61% of studies that had already shaped textbooks and driven business decisions simply didn't hold up in the real world 🔸This is called the reproducibility crisis and it still hasn't been solved. The problem isn't that scientists are bad at their jobs - it's that there's no infrastructure to automatically check whether an experiment can actually be repeated with the same data and get the same results 🔸Every verification takes months of work from a separate team, separate funding and access to the same lab setup 🔸Now imagine a research verifier built on OpenGradient. A scientist publishes not just a paper - they publish the data, the experiment code and the methodology 🔸An agent takes all of that, runs it through a model on Model Hub, compares the results with the original and outputs a cryptographic proof - reproducible or not. Not a year later and not by another team, but automatically at the moment of publication 🔸Why OpenGradient and not just a cloud server? Because the proof can't be faked - a pharma company can't go to the provider and ask them to tweak the verification result 🔸Every model run is signed inside a secure enclave and the hash is written on-chain, which makes this an actual technical guarantee rather than just words 🔸MemSync stores the full verification history of a single study so if the methodology changed at any point - it shows. x402 lets the agent pay for access to external databases on its own to compare with similar work in real time 🔸Concrete example - a pharma company publishes a study showing their drug lowers blood pressure by 15%. A regulator runs it through the verifier and gets proof that the same data either produces those same 15% or it doesn't. No drawn-out disputes while the drug is already sitting on pharmacy shelves How to actually build this on OpenGradient right now: Step 1 - upload your verification model to Model Hub This can be a statistical model, an ML pipeline or a script that reproduces the analysis. It lives decentralized and anyone can run it Step 2 - the scientist or journal submits data for verification A few lines with the Python SDK - upload the dataset, point to the model CID in Model Hub, run inference ---------------------------------------------------------- result = client.alpha.inference( model_cid="verification_model_cid", inputs={"dataset": research_data, "methodology": params} ) print(result.tx_hash) # immutable proof on-chain ---------------------------------------------------------- Step 3 - the agent pulls related studies via x402 Compares against PubMed and Semantic Scholar, checks if there are existing reproduction attempts and what they found - all without manual input Step 4 - MemSync logs the history Every version of the study and every change to the methodology is recorded, so a year later you can see exactly how it evolved and when something went wrong Step 5 - verification result gets published with proof The tx_hash goes into the paper's metadata and anyone - a regulator, another scientist or a journalist - can open the block explorer and confirm the verification actually ran with exactly that data Blockchain gets criticized a lot for solving problems that don't exist. The reproducibility crisis is a problem that's been around for decades and costs people their health and money, and this is exactly where verifiable AI is actually needed
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Marina
Marina@marrr_marina·
gm fam☀️ started my day with this beauty, how’s yours going?
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0xRen4ik
0xRen4ik@0XRen4i·
What if?... Let's just imagine a messenger race, where all the top players, the best of the best, are racing. And a black horse named @DlicomAPP appears. Few believe in it or know about it. However, right from the start, it's already showing new maneuvers and records. The same thing happens in reality. @DlicomApp has essentially outdone everyone with its new features, details, and freedom. You should know about this, trust me! Everyone gn
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Traley
Traley@traleyweb3·
The @PerleLabs is the most important infrastructure play in Web3 x AI right now. Anyone who spends time analyzing algorithms, building models, or debugging complex code knows one universal truth. Your output is only as good as your input. You can have the most optimized system in the world, but if you feed it garbage, it will produce garbage. Right now, the AI industry is running into a massive wall. Everyone is obsessed with larger compute clusters and faster models, but the underlying data supply chain is breaking. We are seeing models train on synthetic data generated by other models, leading straight into a dangerous loop of model collapse. Perle aren't just building another AI tool, they are fixing the foundation. By creating a sovereign data layer. Perle ensures that training data is human-verified, expert-validated, and completely auditable on-chain. When we look back in 5 years, the winners in AI won't just be the ones with the most GPUs. They will be the ones with the most verifiable, pristine data pipelines. — participating in @PerleLabs community campaign #PerleAI #ToPerle
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May@maybachxbt·
Just max minted 10 BitGlyphs 🔳 I'm not degen of @opnetbtc, but their tec and community so bullish. If it weren't for market conditions, it would be better... Waiting @Motoswap launch on next week.
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Danny Plainview (🍊,💊)@bc1plainview

BitGlyph #1 is mine generated by cellular automaton, stored forever on Bitcoin L1 in 99 bytes of raw tapscript calldata. fully on-chain generative art -- no ipfs, no servers, no middlemen. only possible with @opnetbtc bitglyph.io

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