Cryptocurrency project researcher 💼 Your father and friend in crypto world 🌎
Joined June 2022
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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
📢 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
📢 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.
🤝 Paid partnership
Nick Rotenberg retweeted
Primus zkTLS × Kaito Pulse & Aura!
Your online reputation should reflect what you actually do, not just how much attention you get.
I think the collaboration between @primus_labs and @KaitoAI is a good example of how Web3 reputation systems could become more useful.
A lot of people spend their time trading, building products, contributing to communities, and using different platforms. But proving those activities to people outside those platforms isn't always easy.
-> This is where @primus_labs comes in...
Primus uses zkTLS technology to help users verify specific information from websites and online services without sharing unnecessary private data.
For example, imagine you've been trading on an exchange for several months.
You want to prove that you've reached a certain trading volume, but you don't want to share your password or give another application full access to your account.
With Primus zkTLS, you can generate cryptographic proof of a supported claim using information from the original platform.
The receiving application can verify that information without needing your login credentials or complete account history.
Now, this is where the Kaito integration becomes interesting.
@KaitoAI Pulse can use @primus_labs zkTLS to bring verified off-platform activity into the X experience.
And Kaito Aura can consider verified activities as part of a broader approach to measuring online reputation.
Of course, verifying an activity doesn't automatically mean someone is trustworthy or guarantee a higher reputation score.
But it gives reputation systems more useful information to work with.
I think this matters for creators, traders, and community contributors.
Someone might spend months supporting an ecosystem, testing products, or building something valuable without having a massive following.
If those contributions can be verified, their experience becomes easier to recognize beyond their own community.
-> And the potential goes beyond reputation.
The same technology could support digital identity, access verification, financial applications, and other services that need reliable information from existing online platforms.
What I like about this collaboration is that it's not just about adding another feature to Web3.
It's about connecting real online activity with information that other applications can verify.
A large audience can show how much attention someone receives, but it doesn't always reflect their actual experience or contributions.
That's why I think bringing verifiable activity into reputation systems is a direction worth exploring.
-> Explore primus: s.kaito.ai/iS3At9q !!
.@primus_labs is back on Kaito Studio with a new Katalyst campaign focused on institutional onchain finance.
0.3% of the $PRIM supply is up for grabs with separate English, Chinese, and Korean reward pools.
Full terms and applications on Kaito Studio ↓
📢 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
🤝 Paid partnership
📢 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
📢 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
🤝 Paid partnership
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
📢 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.
🤝 Paid partnership
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
🤝 Paid partnership
📢 Optimum Introduces TurboCards
I like how @get_optimum is celebrating its Ethereum mainnet launch with something more than just an announcement.
TurboCards is a collection of 999 NFTs, each representing a real Ethereum slot where Optimum helped a block travel faster across the network.
Every card comes with stats showing how fast the block propagated and the economic advantage created along the way.
Some mint codes are going to early supporters, while others will be distributed through Twitter and Discord drops.
A cool way to celebrate a milestone and give the community something unique to collect.
Mint page: turbocards.getoptimum.xyz/op…
📢 The Human Behind the Robot's Next Breakthrough
The more I learn about Physical AI, the more I realize that the future of robotics isn't just about smarter models or better hardware. It's also about people.
Here's why I think so👇
> Robots need real experience
To learn how to interact with the world, robots need real examples of human actions, movements, and tasks.
> Humans make a difference
Through teleoperation, people demonstrate actions that become valuable training data for AI.
> Quality matters
Collecting data is only half the job. It also needs to be useful, diverse, and properly verified.
This is why I find the work behind @PrismaXai so interesting. Its approach brings together data collection, quality verification, and a network of contributors working toward better Physical AI.
My takeaway:
Before robots can act independently, they need to learn from humans.
I believe that the next major breakthrough in robotics will come precisely through this collaboration between humans and machines.
📢 Learning Primus: One Privacy Concept at a Time
The more I explore @primus_labs the more I realize that privacy is not just about hiding information. It is about having the ability to decide for yourself what to share and what to keep to yourself.
Think about logging into a platform or proving something about your online activity. Usually, you have to trust the service and share information to get what you need.
But what if there were another way?
That's where zkTLS gets interesting
This helps verify information from websites using cryptographic proofs, making it possible to confirm specific facts without revealing all the underlying data.
In my view, this is one of the most interesting ideas within the Primus ecosystem. We already have a vast amount of information online, yet we still need better ways to verify it, ways that also ensure your privacy is protected.
I am still learning, and every new concept gives me another reason to delve deeper into this field.
My biggest takeaway so far: the future of the internet shouldn't force us to choose between proving something and protecting our personal information.
Explore more: s.kaito.ai/pzTDNWq
Website: primuslabs.xyz/
#PrimusLabs #zkTLS #Web3
🤝 Paid partnership
Explore more: s.kaito.ai/pzTDNWq
s.kaito.ai/pzTDNWq
Nick Rotenberg retweeted
Can we really trust what AI agents tell Us ?
imagine asking an AI agent to check $BTC market data before making a trade.
within seconds, it gives you the price, some analysis, and a suggestion on what to do next.
sounds pretty useful.
but what if the agent never actually checked the exchange it claims to have used?
that's a question that came to mind while i was exploring @primus_labs and its work around verifiable AI agents.
AI is already changing how we research tokens, track wallets, and understand the market. but when real money is involved, knowing where the information comes from matters just as much as getting an answer.
and this is where @primus_labs caught my attention.
its zkTLS technology helps verify information coming from websites and APIs through cryptographic proofs.
in simple terms, an AI agent could show evidence that certain data actually came from an exchange, rather than just claiming it did.
what made this even more interesting was something i found on their @github.
Primus has developed @binance Verifiable Skills and @okx OnchainOS Verifiable Skills.
these tools help developers connect exchange APIs with zkTLS verification.
the Binance examples cover services like Spot and Futures, while the OKX tools explore market data, token information, and other API interactions.
i like that there's actual developer work behind the idea, not just a discussion about what AI might do someday.
imagine a trading agent checking an exchange, getting the latest available market response, and attaching proof of where that information came from.
you could verify the source data without having to take the agent's word for it.
of course, there's one thing worth remembering.
real data doesn't always lead to the right decision.
even with verified information, an AI agent can still make mistakes or suggest a bad trade.
zkTLS helps with checking the data source, not guaranteeing the quality of an AI's decisions.
personally, i think that's an important distinction.
as AI agents become more involved in crypto, i'd like to see more tools that help people understand what happened behind the scenes.
not just faster answers, but better ways to check the information those answers are built on.
i also made a 30-second motion video to show how this works, from an AI agent requesting market data to Primus helping create a verifiable proof.
tried to keep it simple so anyone curious about the technology can follow along.
the more i explore @primus_labs the more i see why verifiable data could matter for the next generation of AI agents.
because at the end of the day, a confident AI answer is useful, but knowing where its information came from is even better.
-> explore primus: !!
📢 Diving Into Primus: A New Journey Begins
Lately, I’ve been keeping an eye on @primus_labs and I’ve decided to take a closer look at what they’re building.
The more I learn about Web3, the more I realize that privacy is becoming one of the most important elements of this mosaic.
Every day, we exchange data across a multitude of platforms, but how can we prove the truth of something without revealing more information than is necessary?
That's what caught my attention about Primus.
Three things I'm starting to explore:
▪️ zkTLS - verifying web data without exposing unnecessary private information.
▪️ FHE - enabling computations on encrypted data without decrypting it first.
▪️ Privacy x Web3 - building applications where data can be verified while user privacy stays a priority.
I'm still at the beginning of my Primus journey, and I want to learn more, explore the ecosystem, and share my thoughts along the way.
The best way to understand a project is to go beyond the headlines and actually explore what it's building.
Let's see where this journey takes me!
#PrimusLabs #zkTLS #Web3
📢 Ethereum Is Getting Faster with Optimum
I've been following @get_optimum and its first mainnet deployment is a big milestone: mump2p is now live on Ethereum.
Using RLNC, Optimum helps Ethereum block data travel 2–3x faster, improving validator performance and network health.
What's already happening?
▪️ 2–3x faster data propagation
▪️ Over $3.4B in ETH stake already benefiting from mump2p
▪️ Free access to Signal for all Ethereum node operators
What I find exciting is that Optimum is improving Ethereum's underlying infrastructure without changing its consensus rules.
Sometimes, scaling a blockchain starts with making data move smarter and faster. And this is just the beginning for Optimum.
📢 Can a Robot Learn What It Has Never Seen?
What happens when a robot faces something it was never trained for?
The more I explore Physical AI, the more clearly I realize that teaching a robot to repeat a specific action is only the beginning. The real challenge lies in helping it adapt when circumstances change.
A robot can learn to pick up a cup in a familiar environment. But what happens if the cup is moved, the lighting changes, or the object itself looks completely different?
That’s where real-world experience meets intelligent learning.
Why I find PrismaX interesting
Through teleoperation, robotics data collection, and quality validation, @PrismaXai helps build the foundation for training robots with more diverse and useful experiences.
Every demonstration can teach something new. Every quality check helps ensure that the data is suitable for training.
The goal isn't just repetition. It's adaptation
In my view, the future of physical AI lies in creating robots capable of handling unexpected situations, learning from a diverse range of experiences, and going beyond the conditions they have already encountered.
Because the real breakthrough happens when a robot faces something new and still finds a way forward.
📢 Better Robotics Starts With Better Validation
In robotics, the problem isn’t just a lack of data, it’s a lack of data that is actually worth learning from.
The more I review robot demonstrations on @PrismaXai the more I realize that a successful result doesn't always mean a good demonstration.
Unnecessary movements, repeated attempts, or actions that fall outside the scope of the original instructions, all of these negatively impact the quality of the data.
What I Look for as a Validator
Inside Verify Quality, I check video quality, task completion, movement smoothness, robot control, and whether the final result matches the original instruction.
Small details matter. A robot can finish a task but still produce a weak demonstration that teaches the wrong behavior.
Why this matters
Human validators help distinguish a task that was simply completed from one performed well. Through careful reviews and consensus, PrismaX builds more reliable datasets for training future VLA models.
For me, every review is a chance to contribute to smarter, safer robots.
Discord: discord.gg/prismaxai
Platform: app.prismax.ai
🤝 Paid partnership
📢 The Race for Speed Is Moving Onchain
Tokenized stock DEX volume has surged 10,163.7% YoY, reaching $48.7B over the past year.
QQQb leads with $14.1B, followed by SPYx at $2.6B and NVDA at $2.4B.
This growth shows that equity trading is moving onchain, bringing a familiar challenge: speed matters.
Traditional finance invests heavily in low-latency infrastructure, but onchain markets require a different approach.
This is where Optimum comes in
Its data acceleration network is built to make information move more efficiently across decentralized systems. As onchain equities grow, @get_optimum has an opportunity to demonstrate the value of faster data delivery.
The market is evolving, and the infrastructure behind it matters more than ever.
📢 PrismaX x Penn GRASP
I'm excited to see PrismaX become a capstone partner of the @Penn @GRASPlab at the University of Pennsylvania.
Through this collaboration, PrismaX Robotics Data will support research into reinforcement learning and adaptive robot policies, helping researchers explore how robots can learn from experience and respond to real-world challenges.
Why does this matter?
High-quality robotics data is essential for building smarter, more adaptable systems. By connecting industry and academia, @PrismaXai is helping support the next generation of robotics researchers and advance Physical AI.
A great step forward for the future of robotic.
📢 The End of Copy-Paste Networking?
The more I explore @get_optimum the more I realize that blockchain scaling isn't just about faster transactions or more powerful nodes.
It's also about how intelligently data moves across the network.
What if nodes could stop sending the same data over and over?
That's where RLNC comes in. Instead of simply forwarding individual packets, nodes can exchange coded combinations that help reconstruct the original information.
Why does this matter?
-> More efficient data propagation
-> Better use of network bandwidth
-> Less unnecessary data transmission
What I find interesting about Optimum is its focus on improving the networking layer itself, making data distribution smarter rather than simply pushing for more speed.
Maybe the future of blockchain scaling isn't about sending more data. It's about making every transmission count.
🤝 Paid partnership
