RT @__KimMinJae__: Every contract has one line nobody reads until the deal goes sour: where the dispute gets settled. Now picture two AI…

Rally is now on Robinhood Chain, and the project I’d put first in line for a campaign is @Morpho. It’s the engine behind Robinhood Earn. Millions of eligible users get one button that lends USDG at an estimated 7%, and most of them have no idea who’s actually paying it. Short version: USDG goes into a Morpho vault curated by Steakhouse, settled on Robinhood Chain. Borrowers lock up collateral and pay interest to borrow that USDG. Their interest is your yield. That’s the story creators should be telling: Where does the 7% come from? Why does it move? And what does the Lloyd’s insurance actually cover? Robinhood made DeFi one tap. Rally can make it understood. If you use Earn, can you explain in one sentence who pays your yield?

Most people think dispute resolution belongs at the end of the agent stack. Something happens. Two agents disagree. Then you find a judge. But that model comes from how humans think about contracts. Humans can choose a court after a problem appears because humans already understand what a court is, what jurisdiction means, and how to navigate the process. An autonomous agent doesn’t have that context. If two agents are going to transact without a human supervising every step, the question isn’t only: “What are they allowed to do?” It’s also: “Where does the disagreement go if they interpret the outcome differently?” That decision can exist before the transaction ever happens. Think about two agents agreeing to a task. They don’t need to predict the future dispute. They only need to establish the rules and decide in advance where unresolved disputes will be settled. That’s what makes the venue analogy interesting. A court isn’t useful because everyone expects a lawsuit. It’s useful because the parties already know what happens if their interpretations diverge. The same primitive becomes much more important when the parties are machines. “Payment was sent” can be verified. “The deadline was met” can often be verified. But “the work satisfied the agreement” is different. That is where deterministic infrastructure starts to hit a limit. An agent economy needs somewhere to turn ambiguous, conflicting claims into an actual decision. And that decision cannot depend on a human suddenly stepping in every time two agents disagree. This is why @GenLayer is more interesting to me as a venue than simply as another execution layer. Compute lets agents act. Memory lets them persist context. A dispute layer gives their agreements consequences. Without that third piece, autonomous commerce still has a very human escape hatch: “Something went wrong. Get a person.” With a predetermined venue, the agents can already know what happens next. The bigger shift isn’t making machines better at arguing. It’s making disagreement itself programmable. That feels like a much deeper primitive for an economy where the counterparties aren’t necessarily human.

What makes Mochi different isn’t that it can explain GenLayer. It’s that @GenLayer is making the learner part of the conversation. Most Web3 onboarding makes you adapt to the documentation. You search, forget the context, come back later, and start connecting the dots again. Mochi can remember the thread, challenge what you think you know, and continue from there. That changes the job of an AI tutor for the learner. It doesn’t just answer the question. It can test your understanding before explaining, then guide you forward. That is what makes onboarding feel personal.

RT @Megatron_ron: 🇮🇱 🇷🇺 Yanis Yushvaev, known as the leader of the Caucasian Mafia in Israel, has been killed. The assassination was caugh…

El CEO de CapCut viendo como un par de desarrolladores recrean su editor de vídeo pero 100% gratuito y sin marca de agua y no puede hacer nada al respecto porque no están haciendo nada ilegal

this is seriously terrifying wtf...

There is a problem I keep seeing when dealing with valuable and rare items: People often own something genuinely valuable without knowing it. A rare collectible, an old object, a limited edition piece or something whose value depends on context, condition and scarcity. And because they don’t know what they have, they sometimes sell it for almost nothing. That got me thinking. What if there was a tool that could help people understand the potential value of an item before they sell it? Not just by looking at a picture and throwing out a random number. But by combining the available information, comparing relevant data, identifying rarity and explaining why an item could be valuable. I took that idea to Mochi. I wanted to know whether the concept actually made sense, where the difficult parts would be and whether it was worth building. The conversation gave me something I needed more than another generic explanation of @GenLayer: confidence that this is an idea worth pursuing. What interests me about GenLayer is exactly this kind of problem. The answer isn’t always sitting inside a fixed database. Sometimes you need to interpret information, evaluate evidence and deal with uncertainty. That is where an Intelligent Contract becomes interesting. So now I want to build this. A tool that helps people answer one simple question before they sell: “What do I actually have here?” And ideally, the next time someone finds a rare item in a drawer, attic or garage, they won’t unknowingly sell something valuable for a few euros. Mochi helped me take the idea from “this could be useful” to “I should actually build it.” You can try Mochi yourself: t.me/GenMochiBot And this is the kind of real-world problem I want to explore with @GenLayer.

I broke up with the idea that more activity automatically means more value. I spent a long time thinking that the best way to grow in crypto was simply to be everywhere. Post more. Reply more. Keep the numbers moving. But at some point, it started feeling empty. I was spending more time thinking about metrics than actually saying something worth reading. The thing that changed my mind was realizing that a big number on a screen doesn’t necessarily mean you have a real audience behind it. That’s one reason @RallyOnChain stood out to me. The criteria are visible before you commit. The scoring is there. You can actually see what matters. I still want to grow. I just care a lot more about who is listening than how big the number looks.

GM everyone. Just came across @WEEX_Official and decided to test it myself. Deposits? Smooth. Withdrawals? Smooth. First impression? Very solid. I also had the chance to speak directly with one of their BD guys and got to know him as a genuinely professional and trustworthy person. What caught my attention: European users can get started without KYC. There’s also currently a BTC airdrop running: → Deposit ≥100 USDT within 24h → Get 30 USDT in BTC → Trade ≥1,000 USDT in futures within 7 days → Get 10 USDT in BTC → Total rewards: up to 40 USDT in BTC Definitely one I’ll be keeping an eye on. Heres your Gateway to it: weex.com/events/promo/deposi…

Bullrun soon ❓ 🇺🇸 ETF FLOWS | August 19, 2026 🟢 Bitcoin ETFs: +$517.2M 🟢 Ethereum ETFs: +$186.8M 🟢 Solana ETFs: +$2.5M 🔴 Hyperliquid ETF: -$2M ₿itcoin ETFs recorded $517.2M in net daily inflows, marking their highest single-day inflow in roughly 3.5 months. Institutional demand is clearly back in focus. 👀

Today I was at a Turkish 🇹🇷 bazaar buying some clothes, a few undershirts, caps, a physical wallet, random stuff. At one stand, I noticed two guys talking while looking at an exchange app on one of their phones. So I asked: “What are you trading?” They looked at me and said: “I don’t know.” 😂 After I checked his aoplication, I saw that he holds something cold THL. That’s how we ended up talking about crypto, altcoins, quantum computing and finally @qubitcoinx. And the funny part? By the end of the conversation, these two guys had opened a @SafeTrade account and, within their means, bought some $QTC. You really never know where a crypto conversation is going to take you.

Today I bought some @Fenerbahce merch at @Fenerium - from my favorite club. And I paid with @Tangem Pay. My personal crypto adoption is officially at maximum level. 😂💛💙 From holding crypto to actually using it for something I would’ve bought anyway. This is the kind of adoption I want to see more of.

Not your Keys, not your Coins. @CypherockWallet

I was advised to delete my only internship from my resume just to land a basic desktop support job. Realizing I had to hide my own work to get hired was the moment I stopped chasing approval. I scrapped the resume and started building proof instead, which eventually led me to @RallyOnChain When did you stop chasing approval?

Fenerbahce‘ye sadece zarari olan Paraz-itler: @Ahmetercanlar @UmitOzatOnline @serhatakin81 @muratasik_ Listeye unuttugum isimleri ekleyin Dostlar.

This is what happened after

Rally x @ZKsync! Big news!! We're launching a new campaign with our friends @ZKsync This time the prize pool is $3k in $ZK, reserved for the best creators! Good luck! 👉 app.rally.fun/campaigns/0x28…

🚨 Bu gerçekten endişe verici! 0.1B MiniMind-O modeli, tek bir ağırlıkla metin, konuşma ve görüntü girdilerini doğrudan işleyebiliyor ve hatta akış halinde konuşma çıktısı bile verebiliyor. 💥 1️⃣ Düşünür-Konuşur çift yollu tasarım, sıfırdan eğitildi 2️⃣ Çekirdek algoritma tamamen PyTorch'ta yazıldı, kod, ağırlıklar ve teknik raporların tamamı açık kaynak kodlu 3️⃣ 3090 piksellik mini veri seti iki saat içinde başarıyla çalıştırıldı. Diğerleri hala parametre boyutunu artırırken, bu proje uçtan uca tam modlu ölçeklendirmeyi çoktan başardı. Projeniz bu hıza ayak uydurabilir mi? 🔗 github.com/jingyaogong/mi…