Nick Rotenberg

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.

📢 What If Data Could Be Used Without Being Revealed? The more I learn about privacy technologies, the more interesting this space becomes. In the previous parts of my @primus_labs journey, I started exploring digital privacy and discovered how zkTLS can verify online information without exposing unnecessary personal data. This time, I’d like to explore another concept: FHE So, what makes it special? Imagine you’re sending encrypted data to a service. Typically, for any calculations to be performed, that data first needs to be decrypted. FHE changes this approach. It allows computations to be performed directly on encrypted data, meaning that the information does not need to be revealed during the processing stage. Why does this matter? ▪️ More privacy when processing sensitive information ▪️ New possibilities for confidential AI applications ▪️ A way to work with data while keeping it encrypted I find it fascinating that privacy does not necessarily mean limiting the capabilities of technology. Thanks to FHE technology, we can envision a world where data remains protected even while it is being used. I am still exploring the Primus ecosystem, but this is yet another concept that makes me optimistic about the future of privacy. Explore more: s.kaito.ai/pzTDNWq Website: primuslabs.xyz #PrimusLabs #zkTLS #Web3

📢 Making Robotics AI More Accessible: π0.5 on Just 16 GB In robotics, one important aspect is often overlooked: the amount of hardware resources required to run advanced artificial intelligence models. But what if we could achieve the same functionality while using significantly less GPU memory? That's exactly what caught my attention in @PrismaXai latest work on π0.5 > The memory challenge Advanced robotics models require powerful hardware. The original π0.5 setup needed around 22 GB of VRAM, making it difficult to run on more affordable GPUs. > A smarter approach The PrismaX team identified unnecessary memory usage during model loading and inference. After optimizing the process, they reduced peak VRAM usage from around 22 GB to just 11.2 GB. No model pruning or distillation required. > Why this matters Now π0.5 can run on GPUs like the RTX 5080 and RTX 5070 Ti. This makes advanced robotics AI more accessible to developers and researchers without expensive hardware. We often focus on building smarter models and improving data, but efficiency is just as important. The easier AI is to run, the more people can experiment, improve it, and bring robotics into the real world.

Primus: A Guide to Getting Started @Primus_labs allows you to turn your Web2 activity into a verifiable reputation on the blockchain, while preserving your privacy. Here's how to get started 👇 1⃣Connect to Primus Visit the Primus campaign: s.kaito.ai/pzTDNWq Connect your wallet, and install the Primus Chrome Extension. 2⃣ Complete Verification Tasks Open the Attestation tab and verify your accounts across supported platforms, including X, Discord, TikTok, GitHub, ChatGPT, Binance, Spotify, and Luma. 3⃣ Protect Your Privacy Primus uses zkTLS to verify information from authentic websites without revealing your passwords or original sensitive data. 4⃣ Earn Reputation Points Successful verifications increase your Reputation Score and add to your on-chain profile on the Base network. According to the guide, repeated verifications may reward: > First verification: +10 points > Second verification: +4 points > Third verification: +1 point Check current tasks for exact rewards and gas requirements. 5⃣ Stay Active Check for new tasks regularly. Referrals may also provide additional points. I like the idea of ​​building a reputation in Web3 based on actual digital activity, without compromising privacy. Don’t just stop at publishing content. Complete the available attestations and explore everything Primus has to offer. #PrimusLabs #zkTLS #Web3