Currently, @brevis_zk holds tokens such as $KAITO, $sKAITO, $LINEA, $EDEN, $USUAL, and $mUSD, which will receive a 1.25x Mindshare bonus. Is it because they're not listed in the rankings and therefore cannot be checked? Also, should YT-sKAITO be included? Actually, when I saw @brevis_zk launch the Private Attestation feature today, I felt it was a small thing with a big future hidden within. You can now use your sKAITO holdings to earn on-chain multiplier rewards, but most importantly, #Brevis makes all of this possible without exposing your data. This actually means a new paradigm is forming: You can prove who you are, what you own, and what you deserve, without telling the world who you are. This is what Web3 should be like. From ZK to Attestation, and then to the combination of incentive mechanisms, Brevis is turning privacy into a form of productivity—a capability that can be rewarded, quantified, and trusted. The next true Alpha might be hidden in how they prove themselves. Link:

I've always found @irys_xyz strange. When I was constantly building up its ranking, it never improved, but after a period of inactivity, it suddenly started climbing. Seeing the Halloween cards, I decided to check it out too. The market is so volatile, it's driving everyone crazy. Let's calm things down. Don't keep cutting like that, it'll strain your hand. Take a break.

I initially found @wardenprotocol's Betflix feature, with its fun swipe-to-open order feature, quite enjoyable. I increasingly appreciated its brilliance; even though it only lasts a few dozen seconds, the win rate is quite high when following the trend. Today, I checked the data and saw that in less than 7 days, Betflix's trading volume surpassed $1.7M+. Traditional crypto trading emphasizes strategy, depth, indicators, and charts, but for the new generation of users, they crave engagement and a sense of rhythm. The swipe-to-open order feature may seem frivolous, but it actually breaks down the complex UX of traditional trading into a single action: Swipe → Confirm → Earn. It requires almost no learning curve yet generates real trading volume. Warden Protocol did two things right in this regard: 1️⃣ They turned fun into a user entry point. 2️⃣ They made liquidity the underlying logic of the meme. I've been playing with Betflix these past few days; it's really fun, and you can play directly on your phone. If you're interested, you can try it out:

While I've been using tools like chatgpt, Doubao, and #Sentient, I sometimes feel confused. I'd like to talk about a question I've been pondering lately. The pace of research in the current AI world is astonishingly fast, with new papers and models appearing almost daily. But strangely, the number of results that can be truly reproduced and absorbed by the public is decreasing. Most research is confined to giant labs, like a closed accelerator, accelerating faster but becoming increasingly distant from the public. So when I saw the collaboration between @SentientAGI and @askalphaxiv, I felt it was a rare countercurrent. They're not competing to see who's stronger, but rather rebuilding the speed of knowledge sharing. Only when research can be reproduced, discussed, and improved can AI truly evolve into a form of collective intelligence. Perhaps true innovation lies not in whose model is bigger, but in who can make thought flow more freely.

While I've been using tools like chatgpt, Doubao, and #Sentient, I sometimes feel confused. I'd like to talk about a question I've been pondering lately. The pace of research in the current AI world is astonishingly fast, with new papers and models appearing almost daily. But strangely, the number of results that can be truly reproduced and absorbed by the public is decreasing. Most research is confined to giant labs, like a closed accelerator, accelerating faster but becoming increasingly distant from the public. So when I saw the collaboration between @SentientAGI and @askalphaxiv, I felt it was a rare countercurrent. They're not competing to see who's stronger, but rather rebuilding the speed of knowledge sharing. Only when research can be reproduced, discussed, and improved can AI truly evolve into a form of collective intelligence. Perhaps true innovation lies not in whose model is bigger, but in who can make thought flow more freely.

In just one day, @vultisig has exploded in popularity, topping the @KaitoAI trending list. Everyone's hoping to get a $VULT whitelist and earn multiples. There are some offers in the Chinese region right now, so there's still room, but competition is certainly fierce. Good luck! #vultisig @jpthor

Tomorrow, October 27th, the @HaustNetwork Mainnet & TGE will launch. $HAUST will be simultaneously listed on Uniswap and Haust DEX. In short: a brand new DeFi foundational layer is coming. To be honest, DeFi development has been stuck in a cycle of competing for yield and hoarding tokens in recent years. However, Haust aims to redefine the underlying structure—making DeFi more open, smarter, and more sustainable. I'm personally excited to see whether this new generation of DeFi layers, like Haust, can forge a truly innovative path. After all, what's most scarce right now isn't new coins, but teams with the patience to lay the foundation. #HaustNetwork #Mainnet #TGE

In just one day, @vultisig has exploded in popularity, topping the @KaitoAI trending list. Everyone's hoping to get a $VULT whitelist and earn multiples. There are some offers in the Chinese region right now, so there's still room, but competition is certainly fierce. Good luck! #vultisig @jpthor

A few days ago, I thought of a very practical question: If in the future AI does my work, runs tasks, earns me money, and automatically pays me—how will I know if it's actually done its job? If it just spouts nonsense and then asks me to automatically transfer money to it, who would tolerate that? 😅 This is actually the biggest pain point facing all AI agents today: capable, but not transparent; able to execute, but without proof. It's hard to truly trust them. And this collaboration between @brevis_zk and @GoKiteAI really gets to the heart of the matter. To put it simply, in terms anyone can understand, it goes like this: #Brevis is responsible for proving the AI isn't messing around (ZK verification computation process) #Kite is responsible for managing the money and permissions (on-chain settlement + identity authorization) In other words, in the future, if an AI wants to collect money, exercise permissions, or trigger a payment, it must first use mathematical proof that it actually did the work. It's not the AI that has the final say, but proof that counts. The future may look something like this: AI: Task completed, please pay On-chain: Proof verified, payment approved Automatic settlement in stablecoins 🔍Fully traceable and auditable process This is the foundation for a large-scale agent economy: transparent, trustworthy, and verifiable. So I think this collaboration is incredibly meaningful. It's not just about adding buffs, but truly addresses the most critical shortcoming of the AI economy: trust infrastructure. It's moving AI from the black box era to the era of accountability. In a nutshell: AI does the work, ZK verifies, and settlement is done on-chain—this is what the future should look like. I'm optimistic about this trend and look forward to it truly ushering the agent economy into the next phase. 🚀 #Brevis #Kite #BrevisExplained #KaitoAI #Yaps #Yapping

At first, I really didn't understand what ZK meant. It sounds like high-sounding technical jargon, right? But its core concept is actually quite straightforward: I can prove I know something, but I don't need to tell you what it is. It's like having the combination to a treasure chest. You want to convince your friend that you know the password, but you don't want to share it. So you stand in front of the door, enter the code, and it opens—and it does. You've proven you know the password, but you haven't revealed the password itself. This is the essence of zero-knowledge proof (ZK). Work like @brevis_zk is bringing ZK technology to the data layer, allowing dApps to verify user behavior or reward distribution without relying on a centralized backend. Instead, they can use cryptographic proofs to ensure transparency. @brevis_zk has launched a very interesting new event: the ZK Explained Competition. Simply put, it's a challenge to "explain technology through creativity." Whether you're good at making videos, long posts, drawings, or even memes, as long as you can make people understand the magic of Brevis and ZK, you'll win. Topics include: What is Brevis and what problems does it solve? How does ZK Data Coprocessing work? What's the difference between Pico zkVM and ZK Data Coprocessor? Real use cases like PancakeSwap hooks, Linea Ignition, and Usual CPI. 💰 Rewards: 🥇500 Sparks 🥈300 Sparks 🥉200 Sparks There are also 10 honorable mentions, each worth 100 Sparks. 🗓️ Event Period: Opens October 21st, closes October 28th, and results announced November 1st. Participating is super easy: 1️⃣ Join the Brevis X community 👉 2️⃣ Post your work in the community and tag it with #BrevisExplained 3️⃣ Tag @brevis_zk #BrevisExplained #Brevis #KaitoAI #Yap #Yapping