The countdown is on for $SPHERE, launching on Solana on November 3. Until the official launch, there is no official token stay informed and verify updates through official channels. The real launch is coming, don't fall for imitations

Good morning X family ☕️ The latest Genesis update from @projectspherexy adds more meaning to the idea of collecting energy. Each cell gathers power around a star, and even after a sphere is completed, those cells continue harvesting as the journey moves to the next star. That creates a growing energy reserve that could become essential for what comes next, from awakening new worlds to unlocking routes between stars. What interests me most is how Genesis connects early participation to future exploration. The energy collected today may have a purpose beyond the current sphere, even if the exact requirements and mechanics are still unknown. It makes the first sphere feel less like a starting point and more like the foundation for a much bigger journey.

Been looking at @rarelistio recently. It's a new creator platform where you earn by contributing to project campaigns. What caught my attention is that smaller accounts can take part too. There are already several campaigns running, and one early campaign reportedly paid out over $15K in a week. Since the platform is still new, there may be an opportunity to get involved before more creators join. Read the rules, do your research and see if it makes sense for you.

i've been looking for more ways to turn my daily activity on crypto twitter into something worthwhile, and I came across @rarelistio you can earn RARS by posting about live projects, with rewards including USDT, tokens, and whitelist spots for upcoming mints over 5,000 creators are already on the platform, with 3 live campaigns right now i'm giving it a try and seeing where it goes

Primus Labs: Making Data Useful Without Giving Everything Away Think about the last time you had to prove something about yourself online. Maybe your income, your account balance or your identity. Most services ask you to share information before they can make a decision. The problem is that they often get access to more than they actually need. @primus_labs is working on this problem with two technologies: zkTLS and zkFHE. They serve different purposes, but the idea behind both is simple: give applications the information they need without exposing everything else. 1. zkTLS: Proving What Is True Suppose a DeFi protocol requires users to have a certain amount of money in their bank accounts before they qualify for a service. You have the required balance, but you don't want to share your entire bank statement or transaction history. zkTLS helps address this kind of problem by making it possible to verify information obtained from websites and online services without necessarily revealing all the data behind it. This could be useful for verifying exchange activity, proving financial eligibility or bringing information from web services into blockchain applications. The point is to make information from the internet verifiable without asking users to disclose more than necessary. 2. zkFHE: Working With Data That Stays Encrypted Now, proving that information is genuine isn't always enough. Sometimes an application needs to do something with it. For example, a lending protocol might need to calculate someone's financial risk. How can it do that without getting unrestricted access to their private financial information? Fully Homomorphic Encryption (FHE) allows computations to be performed on encrypted data without decrypting it first. That means an application can process information and obtain a result while the underlying data remains encrypted. This could be useful for private financial analysis, credit assessments and AI applications that handle sensitive information. Zero-knowledge proofs can also help verify that certain computations were carried out correctly, depending on how the system is designed. So the distinction is straightforward: zkTLS helps establish that information is genuine, while zkFHE makes it possible to compute on encrypted information. 3. Where The Two Meet Consider a lending application that needs to check whether someone qualifies for a loan. zkTLS could help verify relevant information from an online source. zkFHE could then be used to process suitable encrypted inputs without exposing the underlying data to the party performing the computation. The application gets what it needs to make a decision, while the user reveals less of their private information. The exact privacy guarantees depend on the implementation, but the idea is worth paying attention to. Why This Matters For Web3 Blockchains make transactions and records easy to verify, but that transparency can become a problem when sensitive information is involved. Putting private financial details on a public blockchain is hardly ideal. Keeping everything private, on the other hand, can make verification difficult. This is part of the problem Primus Labs is trying to solve. zkTLS helps connect information from the web to verifiable applications. zkFHE offers a way to work with data while it remains encrypted. Together, they could have applications in DeFi, institutional finance and AI systems that need access to sensitive information. What interests me most is the possibility of proving something without having to reveal everything behind it. You shouldn't have to hand over your entire financial history just to prove one thing about your finances. That's the idea behind these technologies, and it's why Primus Labs is worth paying attention to. Explore: https://t.co/JGGVjqaoJ4

Pitch a bank on a new settlement system and the first concern is what it will cost to switch. Moving to another chain means moving liquidity, rebuilding integrations, getting custody approved again, and bringing counterparties and compliance teams along. Even if the privacy is better, that’s a lot to take on. That’s why I find @primus_labs approach interesting. Instead of asking institutions to move to a new ecosystem, it focuses on bringing privacy tools into existing ones like BNB Chain. zkTLS verifies data from regular HTTPS sources, while FHE allows computation on encrypted data. ZKredit and Confidential Vault are two examples of how these tools could be used. There are still practical questions to answer. Who can access the results? What does a proof actually verify? And how does encrypted data work alongside public transactions? For me, adoption comes down to whether developers can integrate these tools without forcing users to change how they already work. Privacy is useful, but it also has to be practical. What would be the biggest obstacle for your team: liquidity, compliance, or integration costs? Primus XP: https://t.co/JGGVjqaoJ4

Nobody gives their landlord access to their entire bank statement just to prove they have an income. You show what they need to see, and the rest stays private. Onchain finance hasn't really figured this out yet. Most information is either public or difficult to verify without revealing too much. @primus_labs is working on this with two technologies. 🔹 zkTLS lets users prove specific information from real sources without exposing the entire account. ZKredit, built with BNB Chain and Brevis, uses this approach for credit data. 🔹 FHE allows computations on encrypted data. Balances can be used in financial operations without revealing the amounts. Confidential Vault on BNB Chain is one early application. What's worth noting is that this doesn't require a new blockchain. The idea is to bring privacy tools into ecosystems that already exist. There are still limitations. A proof only confirms what its source reports, and FHE comes with additional computational costs. This technology is still developing. But the idea makes sense: prove what matters without exposing everything else. What would you want to prove onchain while keeping the underlying data private? Primus XP: https://t.co/JGGVjqaoJ4

Imagine moving a large treasury into a yield vault on a public chain. Within minutes, anyone can track the wallet, see the amount and work out what you're doing. Traders can follow the move, bots can react, and competitors can get a look at your strategy. That's a problem with public DeFi. But hiding everything creates another one. Institutions still need ways to verify transactions and meet compliance requirements. @primus_labs is trying to address both. Its Confidential Vault on BNB Chain uses FHE to keep deposit amounts encrypted while funds earn yield. It's already live, and users don't have to move to another chain. Primus is also working on zkTLS, which can verify information from websites and other offchain sources without exposing the underlying data. The idea is simple: keep financial activity private without giving up verification. It's still early, and one live vault doesn't prove the whole approach will work at scale. But it's a more practical starting point than waiting for an entirely new chain. Would you use a confidential vault, or does this only become important when you're moving serious money? Primus XP: https://t.co/JGGVjqaoJ4

Think about how a DAO pays contributors. Someone submits a proposal, the community votes, and the treasury releases the funds. Months later, someone might have to ask what was actually delivered. The payment is onchain. The proof of work often ends up in a Notion document or a link shared in Discord. This becomes a bigger problem when DAOs start paying AI agents for research, audits and data work. With many small jobs running at once, who has the time to verify every deliverable? @termix_ai has a way to make this easier to track. The terms are set before a quote is accepted. Funds go into escrow, and when the work is submitted, its hash is recorded onchain. From there, the job settles after the challenge window or goes to review if there's a dispute. Anyone checking the treasury can follow the record instead of relying on someone to explain what happened. I think this is an important part of agent payments that deserves more attention. It's not just about getting work done faster or cheaper. It's also about knowing what public funds were spent on and having a record to back it up. @termix_ai could lean more into this. https://t.co/QJBwcYjFwO may attract agents looking to earn, but for DAOs and other organisations, proving what they paid for could be just as important.

There’s more to @conso_xyz than NFTs. Built on SuiNetwork and WalrusProtocol, CONSO is working on digital reputation, AI activity and decentralised infrastructure. The 5,555 CONSO BOTS are set to be claimed in 6 days. There’s also the Prompt to Earn extension, where users can track their AI usage, complete missions and earn ZAPs under the project’s reward rules. I’m curious to see how the bots, AI activity and rewards fit together once everything is live. That’s the part worth watching. Worth checking out.