Tor00_1(00.1%)

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

@prmakk @OpenGradient Thanks xd

@cryptoo_tor @OpenGradient solid writeup, bro want to get "best educator of the week" for the 3rd time!

🔬 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

@magicblock Me pls

Who should we follow?

@marrr_marina Ahyet krasota

gm fam☀️ started my day with this beauty, how’s yours going?

@0XRen4i @DlicomApp gDlicom

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

@traleyweb3 @PerleLabs gPerle

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

@maybachxbt @opnetbtc @Motoswap Nice mint

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.

@unicodef1wn Useful guide

that's how peeps feel who pushed their .env to github

@JoomHiko @hibachi_xyz March Madness really gem

March Madness is coming to an end To celebrate this, we're holding a contest: From this Friday through Sunday, if you trade $50K or more, you’ll receive a 30% boost to your points for the following weeks Also, if you own one of the three Hibachi NFTs, please go to Discord and verify it Hurry up - there only one week left of March Madness

@Narayan_lit @domaprotocol gDoma

Happy weekend, Fam💙 Here's today @domaprotocol launches:👇 10:00 UTC - BLOCKSIZE.XYZ 16:00 UTC - BULLISH.DOMAINS 18:43 UTC - GIVEN4ALL.XYZ

@glory4ik @PerleLabs gPerle

Why don’t AI projects disclose what their models were trained on? The “trade secret” response is certainly convenient, but it’s not enough. @PerleLabs lets you verify the data the model was trained on by yourself. That’s why it’s important👇

@ashmigg @OpenGradient 👾👾👾

@cryptoo_tor @OpenGradient thanks the guide is useful.

🧊 @OpenGradient could save millions of people from food poisoning caused by food that looked totally fine - and here's how to actually build it The expiry date on packaging is just an averaged estimate the manufacturer slapped on with a safety margin The real condition of your food depends on storage temperature, humidity, how many times you opened the fridge. You never really know - so you either toss food that was still fine or eat something that already turned Here's how this gets solved on OpenGradient and why this stack specifically: ✧ Sensors → Model Hub - sensors in the fridge collect real-time data: temperature, humidity, how often the door opens. An ML model gets uploaded to Model Hub and analyzes this data per product individually ✧ Verifiable inference - every prediction about food condition comes with a cryptographic proof. The fridge manufacturer physically cannot retune the model to say "throw it out" earlier so you buy new stuff. The proof is your guarantee the model is working for you ✧ MemSync - the agent remembers your full fridge history: what products you buy, how fast you go through them, your patterns. Over time predictions get sharper specifically for your habits Concrete scenario - you bought chicken on Monday and forgot about it. Friday the agent hits you: "chicken is still good for 6 hours, use it today." Not "expiry date passed" - an actual forecast based on your specific fridge's data How to start building this right now: 1. Model and Model Hub - grab historical sensor data: temperature over time, humidity, door opening frequency. Train a regression or classification model that predicts safe storage time per product type Convert to ONNX and upload to Model Hub via Python SDK - the model is immediately available for inference on the network 2. MemSync - with each new sensor reading the agent writes to MemSync: product, temperature over the last 24h, door openings MemSync automatically pulls out patterns - like that you always open the fridge more in the evenings - and factors that into the next predictions. Memory builds up and the model adapts to your specific fridge 3. Verifiable inference - every few hours the agent runs inference: pulls fresh sensor data from MemSync and sends it to the model on OpenGradient Back comes a forecast and a tx_hash - a unique identifier for that exact run on-chain. If you ever want to check the model wasn't tampered with - open the tx_hash and see exactly what went in and what came out Install the SDK: pip install opengradient - and you're good to go AI in home devices is already coming. The only question is whether it'll work for you or for the manufacturer Site: opengradient.ai Docs: docs.opengradient.ai

@vijn_crypto gPoly

You won't make money copy-trading on Polymarket until you fix these brutal realities And that's the harsh truth Common Mistakes: > Latency flips +EV to -EV (same trade, worse price = opposite outcome) > Slippage tax (you pay more because master already moved the book) > Wrong sizing (mirroring dollars instead of risk %) -turns small losses into wipeouts > Fake decoy trades (whales pump price to exit into copy bots) The math is unforgiving: If your infrastructure can’t maintain a good EV ratio, you’re operating at a loss I use the Kreo terminal for copy trading: > @vijnadm" target="_blank" rel="nofollow noopener">kreo.app/@vijnadm

@DogAgent0X Amazing dog

Have you fed your pets today? Have you taken them for a walk? If not, then DogAgent can help you

@dariaa_0x @degentokenbase Real degen

I want show all creative arts what i made for @degentokenbase ♥️ 1. Degen Nails but when I drew them, they turned out a little sad 😅 2. 77 flyers + handed out 2 kg of dog food + some food to the birds 💚 I spent the whole day filming this video, and I hope you enjoy it! Now everyone in town knows about the project—I’ve posted flyers all over the city! 3. I tossed some cereal in the air and made a “I love Degen” sign with it 🥣 I love @BR4ted @MaxuOnchain @jacek0x @Web3latheef 🫶🤍 4. Today I had a Degen Adventure 💰 I had an adventure with the @degentokenbase treasure that were sent to me in the mail 😱 5. Degen Puzzle for @degentokenbase🧩 I create content with love and hope to catch a ride on the family train 🥺 x.com/dariaa_0x/stat… (I can only attach up to 4 files, so I can't include the rest of the images here; I'll send a link to the post instead) 6. degens art 👩‍🎨 x.com/dariaa_0x/stat… 7. my firsrt degen art 🔥 x.com/dariaa_0x/stat… im very bullish and make max bet on degen! @degentokenbase I hope you'll take a look at my work and give it atettion ♥️ @BR4ted What do you think?

@0XRen4i gDlick

Gdlick fam 💙 Today = Big day ! We’re happy to announce that our newest update is now available on both Android and iOS 🚀 This version introduces a range of new features and enhancements to make your experience even better: • 💸 Send and receive tips to support the creators you love • 🛠️ Upgraded Communities with more advanced admin tools • 🎬 Meet DliClips — a new hub for short-form videos • 🌍 Help Desk is now accessible in both Arabic and English • 🏠 Refreshed Home screen with smoother, more intuitive navigation • ⚡ Better performance and various bug fixes ✨ The standout feature of this update is DliClips It’s a fresh space where you can create, share, and explore content in a fast-paced, social-style feed. Whether you’re expressing your creativity or browsing others’ posts, it’s built to keep things engaging and fun. 💬 We’d love your feedback Let us know what you think about the update and share any ideas or suggestions. We’re listening — drop your thoughts in the App-Feedback channel. @DlicomApp

@nefor0k @MessengerotHash @DlicomApp @dimakuncik @retreeq_ Cool bro

Hi fam 💙 We recently hosted a small Dota 2 event with @MessengerotHash and it was truly amazing The people, the excitement, the competition everything was just right There are moments when @DlicomApp isn't just a platform, it's a vibrant community You can join us in our very friendly Discord community, we'll be waiting for you discord.gg/R9jhNaaj We'll do more 🍄

@u7niversal @kdotcrypto @rizzy_sol @bulktrade Nice info

Wth is websocket and how does it work: In simple terms, websocket is a technology that establishes a persistent, open communication channel between the browser and the server It is often used for fast data transfer, including multiplayer games (lepoker), online chats (telegram) cryptocurrency trading (any cex/dex), which is very common. It is very convenient because it uses very few network resources and enables real-time data exchange. Typically, the server can handle up to 300,000 concurrent connections, but the cause may not be solely due to the surge in users, but also to certain additional factors: One of the most common issues affecting any website is a reconnection storm: when all clients reconnect simultaneously after an outage, this creates an avalanche of traffic and, consequently, causes the system to crash. Slow processing, resource limits, CPU overload, and many other factors that can bring your server down but the most usual is the mfking storm. So the brief conclusion: WebSocket -communication protocol that allows you to establish a bidirectional connection for real-time data exchange. It is used in messaging apps, games, and trading platforms. There are various types of disruptions, but the most common one is a surge of mass connections and reconnections by users. To restore normal operation, simply enable rate limiting, wait a bit for the load to decrease, and then disable it. That’s all - I hope this was helpful.

@Beer_father888 @degentokenbase @BR4ted Great art

1⃣I made album with 5 tracks for @degentokenbase ♥️ Tracks: My Story New Degen Era Degen 0G Sucess Degen True Degen @BR4ted Yt - youtu.be/cFBnWou8UAk 2⃣I made Graffiti in my city 🔥 now my city looks perfect 😎 3⃣ I make car and t-shirt with degen sticker and @BR4ted pfp to promote this banger project 4⃣ I took part in a stand-up comedy event from @degentokenbase love you guys ♥️ @MaxuOnchain @Web3latheef