Nick Rotenberg

📢 The Internet Knows More Than It Should We share information online every day, but is it really necessary to disclose it to such an extent? Think about proving your exchange balance without exposing your entire portfolio, or verifying your identity without sharing all your personal details. Sounds useful, right? The problem is that digital verification often requires disclosing more information than is necessary. This is where privacy-preserving technology becomes important. @primus_labs is exploring a different approach with zkTLS, allowing users to verify information from web sources without exposing the underlying sensitive data. The idea is simple but powerful: ▪️ Prove information without revealing everything ▪️ Keep personal data under your control ▪️ Make digital trust more accessible I believe Web3 needs something more than just transparency. It requires a smarter balance between data verification and privacy. Your data should prove something without revealing everything. Explore more: s.kaito.ai/pzTDNWq Website: primuslabs.xyz #PrimusLabs #zkTLS #Web3

📢 Mezzanine Is Live Big news from @mezzanine_fi. The platform is officially live, and the first vault is now open. Use a referral link to get 10% more points: app.mezz.finance/ref?code=CR… The launch starts with the @HastraFi Optimizer, bringing structured yield strategies into the Mezzanine ecosystem. What makes it interesting is the choice between two approaches: > Higher Yield: pursue greater returns > Built-in Buffer: add an extra layer of protection Different strategies, different risk profiles, and more vaults are on the way. I look forward to exploring the platform, understanding the mechanics of these strategies, and following the development of Mezzanine.

📢 Robots Need More Than Perfect Conditions In a laboratory setting, everything is predictable. But the real world is full of unexpected situations. Objects move, the environment changes, and tasks do not always go according to plan. Robots need to learn to adapt, rather than simply repeating ideal movements. Real Experience Matters Physical AI needs diverse real-world data. Every movement, correction, and interaction can help robots become more capable. Where PrismaX Fits In Through teleoperation, @PrismaXai turns real robot interactions into structured training data. It is not just a matter of showing robots what to do. The point is to provide them with more experience from which they can learn. The future of robotics depends not only on more advanced hardware, but also on better conditions for learning.

📢 Rethinking Risk in DeFi I’m always interested in finding projects that offer a different approach to DeFi. I recently came across @mezzanine_fi and decided to look into what exactly they are building. I was drawn to their approach to something that matters to every DeFi user: finding a balance between risk and yield. So, what is Mezzanine? Mezzanine is a DeFi protocol that introduces risk-based tranching to onchain yield strategies. Each vault offers different levels of risk: > Senior Tranche: Lower risk, with priority in receiving returns and protection from junior capital > Junior Tranche: Higher risk, absorbs losses first in exchange for greater yield potential > Mezzanine Tranche: An optional middle layer between the two All tranches participate in the same underlying strategy but have different risk and reward profiles. Another interesting feature is the strategy-specific vault architecture, where each vault operates independently, keeping its assets and risks isolated. I like the idea of ​​giving users more flexibility, rather than treating risk as a one-size-fits-all concept. Of course, tranching doesn't eliminate risk. This changes the distribution of potential losses, so it is important to understand each strategy. Join now: app.mezz.finance/ref?code=CR…

gPrimus fam 👋 Privacy in Web3 is more than just hiding transaction details. In traditional DeFi systems, wallet balances, transaction amounts, and financial activity are visible to everyone. Transparency matters, but is it really necessary to disclose absolutely everything in every transaction? This is where FHE comes in. What makes FHE special? This technology allows computations to be performed directly on encrypted data, without decrypting it first. Within the @primus_labs ecosystem, this opens up several possibilities: ▪️ Encrypted balances: Financial information stays confidential ▪️ Private transactions: Less exposure of sensitive information ▪️ Confidential computing: Applications can work with encrypted data What is particularly interesting is that Primus is developing this infrastructure with the potential for integration into existing EVM ecosystems. My main takeaway Web3 should not have to choose between transparency and privacy. It is possible to verify important information without revealing personal data FHE could become a key component of the next generation of DeFi. I continue to explore Primus and discover new possibilities offered by this technology. There is still much more to look forward to. Explore more: s.kaito.ai/pzTDNWq Website: primuslabs.xyz #PrimusLabs #zkTLS #Web3

📢 When Faster Data Means Better Ethereum Performance Sometimes blockchain performance improvements don't require changing the network itself. They come from making information travel faster. @get_optimum has published its first individual operator case study with @BlockdaemonHQ, analyzing 2,185 Ethereum mainnet validators using mump2p. The results are impressive: ▪️ 39.7% fewer wrong head votes, dropping from 0.452% to 0.273%. ▪️ 366 ms faster block arrival, giving validators more time to react. ▪️ 3.4× tighter propagation spread, improving delivery consistency. ▪️ 92% of blocks were first received through mump2p. How does mump2p work? Rather than replacing Ethereum's existing libp2p gossip system, mump2p adds a faster communication layer using RLNC. This helps blocks and attestations travel more efficiently across the network. What's especially interesting is that Blockdaemon already had over 99% head-vote accuracy. Even so, mump2p reduced wrong head votes by nearly 40%, without changing its validator setup. My takeaway Blockchain performance isn't just about transaction throughput. It's also about how efficiently data moves between network participants. This case study shows that better data delivery can make a real difference to Ethereum's infrastructure.

📢 Prove Your Nomad Life @primus_labs has introduced a new set of verification tasks called Proof of Nomad Life. Explore now: s.kaito.ai/pzTDNWq Our digital life is distributed across dozens of platforms. We communicate on Discord, build professional networks on LinkedIn, and contribute to projects on GitHub. But what if all this activity could become part of a verifiable Web3 identity? That's exactly what the new Primus tasks are exploring. Three new ways to prove your digital lifestyle: ▪️ Discord: Verify your active timezone ▪️ LinkedIn: Verify your location and remote work availability ▪️ GitHub: Prove your participation in project groups. And the journey doesn't stop there Primus also offers other verification opportunities through: -> Agentic Ara -> Identity Profile -> Platform Activities -> Proof of PnL and other attestations I like the idea that our online presence can become something more than just a collection of accounts. It can evolve into a reputation backed by evidence. Time to explore the new tasks and build a stronger Web3 identity. #PrimusLabs #zkTLS #Web3

📢 PrismaX Office Hours #11 Recap On October 30, I attended another @PrismaXai Office Hours session hosted by @vivianrobotics where the discussion focused on how robotics data translates into real-world performance Think about how a person picks up an object. We adjust our position, slow down, pause, or correct our movements when something goes wrong. These small decisions carry valuable information for robot training. PrismaX is exploring this through Pi 0.5, combining the open-source YAMulator simulator with real hardware to test how learned behaviors translate into real-world performance. Quality Behind Every Episode Every demonstration goes through Verified Quality, where several factors are evaluated: ▪️ Task completion ▪️ Movement smoothness ▪️ Instruction following Successful attempts help build training datasets, while unsuccessful ones reveal weaknesses and areas for improvement. More Ways to Contribute PrismaX continues to expand its ecosystem of participants. Beginners can start with teleoperation and gradually move into validation as their tier allows. There are also opportunities to participate through the Regional Ambassador Program or by working on specialized data collection projects. Another interesting detail: the validator leaderboard will rotate monthly, encouraging consistent participation. Teleoperation Points and Validation Points will also remain separate systems. From Human Experience to Robot Intelligence My main takeaway is that better robots need more than large datasets. They need meaningful demonstrations, reliable validation, and real human experience. PrismaX brings these elements together, transforming human knowledge into something that robots can learn from. And I believe this is an important part of the future of physical AI.