Good morning, dear degens of the projects. I’ve staked all the money I made into you guys everywhere. Hope you know what to do 😄 @multiplifi @KaitoAI @FalconStable @cookiedotfun @defidotapp @legiondotcc Hello, everyone from the projects. I’ve staked all the money I earned everywhere with you guys. I hope you know what you’re doing 😄 @multiplifi @KaitoAI @FalconStable @cookiedotfun @defidotapp @legiondotcc

Teachers, there's a quick question: @SuccinctLabs is going to be listed on Binance spot trading. Where can we get the tokens for the airdrop for our testnet users? What network is it on?

It's very confusing. Just posting project tweets every day doesn't guarantee a spot on the leaderboard. Maybe it's because of the intense competition; the weight of ICT affects the rankings. Or maybe it's a mechanism issue. Regardless, $M has pumped, and I've made a few long positions. In the past couple of days, it has risen from the bottom, around 0.30, and has almost doubled. The project team really has vision; after distributing rewards, they pumped the price. They haven't tweeted in days, just pumping the price without saying a word.~ By the end of the year, I expect it to stabilize above 1U. Do you have confidence? Crik - crik 🦗🦗 @MemeCore_ORG @MemeX_MRC20 @KaitoAI @MeCo_ICE #MemeX #MemeCore $M #KAITO @Wanamaker_X $stM @Calderaxyz @MaplestoryU I don't even know what these two are doing on the leaderboard.

Kaito capital launchpad quickly becoming the go-to-place for initial community offering if you are part of the Kaito ecosystem - stakers, yaps holders, yappers, culture carriers - you are already passively earning future tokens of Espresso, Theoriq, Billions, and many more if you're a massive bull of any of them, there will also be a mechanism that allows you to double / triple down on your exposure stay tuned!

A major shift in the foundations of AI is underway, and 0G Labs is leading it. @sandy_carter 's latest article on @Forbes captures @0G_Research's latest breakthrough: 0G trains the largest distributed LLM yet - 100B+ parameters. Dive in →

Strategy is no longer a PDF. It’s programmable, modular, and composable. In the old DeFi world: 📝 You wrote threads 🛠 You explained steps 👥 Maybe a few copied it manually In INFINIT’s world: 🧠 You prompt a strategy ⚙️ AI builds a verifiable execution module 🧩 Others remix it, optimize it, fork it 📈 Performance is tracked. Rewards are real. INFINIT makes every onchain idea composable — like smart contract Lego blocks, but for strategies. Welcome to the age of strategy liquidity. $IN #Defi @Infinit_Labs @ElectricCapital @mirana @hashed_official @InitCapital_ @init_intern @KaitoAI #Yapping @tascha_panpan

Data Quality Assurance through Peer Validation and Staking Sapien’s decentralized approach does not stop at data collection; it also ensures data quality through mechanisms like peer validation and staking. Before data is used for AI training, it is reviewed and validated by peers—other experts in the system—ensuring that the data is accurate, relevant, and reliable. The platform also uses a staking system, where contributors must lock tokens as collateral before submitting data. If their data is validated as high-quality, they are rewarded; if it is not, they face penalties. My Perspective: I believe this combination of economic accountability and peer validation is what sets Sapien apart from other platforms. The economic incentives built into the system ensure that contributors are motivated to provide only the highest quality data. At the same time, the peer validation system ensures that no single entity has unchecked control over the data, thus maintaining the integrity of the AI training process. This dual-layer approach makes Sapien’s platform not only efficient but also trustworthy—a critical factor in AI development. @JoinSapien @RowanRK6 @cookiedotfun @cookiedotfuncn #Sapien

How Sapien’s Staking System Builds a Sustainable AI Data Economy Sapien’s staking system ties contributors’ financial commitment to the quality of their work. This ensures that contributors have an incentive to submit high-quality data, and the slashing mechanism helps remove low-quality work. I think this approach is an excellent way to maintain a high standard of data while ensuring that contributors remain motivated and invested in the platform’s success. @JoinSapien @cookiedotfun @RowanRK6 #sapien

How Sapien is Enhancing AI Performance Through Decentralized Collaboration Sapien's platform brings together experts from diverse industries and regions, which significantly enriches the training data for AI models. This decentralized collaboration creates AI models that are more robust and adaptable. Personally, I see this as a major step forward in making AI models more inclusive, with the ability to perform across a range of real-world applications. @JoinSapien @cookiedotfun @RowanRK6 #sapien

Breaking Down Regional and Industry Barriers Traditionally, AI data has been collected within specific industries or geographic regions, leading to biases and gaps in AI models. Sapien’s decentralized platform, however, breaks down these barriers by allowing global contributions to be seamlessly integrated into the AI training process. This ensures that AI models are trained on data that is not only accurate but also representative of diverse regions, cultures, and industries. @JoinSapien My Perspective: As an advocate for global collaboration, I believe this is one of the most important aspects of Sapien’s approach. In order for AI to be effective in solving real-world problems, it needs to be trained on data that reflects the complexity and diversity of the world we live in. By tapping into global expertise, Sapien ensures that AI can be applied across different cultures and regions, making AI systems more adaptable and unbiased. @JoinSapien @cookiedotfun #Sapien