Web3 Writer & Creator. Crypto, DeFi. Turning research into insights and stories. https://xitter.cf/t.co/she0IqbOzQ
Blockchain
Joined February 2021
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Racked up 201 Marks in the 2Factor Points Program 🔥
Join me:
points.2factor.finance/r/4x0…
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Big companies and banks want to use blockchain. But there is a problem.
On a blockchain, everyone can see everything. Your money, your payments, your plans. Companies cannot work like this. They need privacy.
But they also need trust. People must know the company is honest.
@primus_labs solves this problem.
Primus lets you prove something is true without showing your private data. It is like showing a locked box and saying, "I can prove it is full," without opening it.
Here is what @primus_labs can do:
✅ Send money privately. Nobody sees how much you sent.
✅ Earn rewards on your money, and keep the amount secret.
✅ Prove a company has enough money to pay its users.
✅ Pay workers. The salary stays secret, but the payment is real.
✅ Show "I passed the ID check" without sharing your documents.
Primus works with blockchains that already exist, like BNB Chain. You do not need to move to a new one.
The idea is simple: show only what is needed. Keep the rest private and safe.
Private, but still trusted.
s.kaito.ai/r3Gxnw2
Here's something I find really interesting. @primus_labs just explained how to keep crypto private without breaking the rules.
The problem
Most blockchains are open. Anyone can look at your balance. Privacy coins do the opposite: they hide everything, so regulators can't check anything. Both ways have a problem.
The idea: FHE
FHE lets a computer work with data while it is still locked. Think of a locked box that can do math. Nobody opens it.
How it works
You deposit tokens and they become secret. When you send money, a computer adds and subtracts the numbers without seeing them. Only you can open your balance. When you withdraw, you get normal tokens back.
Why people can trust it
Everyone else sees only a random code. If a regulator needs to look, they must ask first, and that request stays on the chain forever.
And with zkTLS, you can even prove you passed KYC without showing who you are.
Honestly, this feels like the middle ground we needed.
s.kaito.ai/r3Gxnw2
Thank you to @conso_xyz 😊 for choosing my meme as one of the winners
And thank you to my friends for supporting me
🏆 Meme Contest Winners Are Here!
Congratulations to all the winners and a huge thank you to everyone who participated 🐻❄️⚡
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Money on the blockchain is usually public. Everyone can see how much you have and how much you send. That is not good for privacy. 🔒
But some "privacy coins" hide everything. Then banks and governments cannot check for crime. That is also a problem.
@primus_labs has a better way: FHE. It means "Fully Homomorphic Encryption."
With @primus_labs FHE, your balance and your payments stay secret on the blockchain. The system can still do math with the secret numbers. It does not need to open them.
Here is how it works:
✅ You put your money in. It becomes encrypted.
✅ You send money. The amount stays hidden.
✅ Only you can see your own balance.
✅ You take your money out. It becomes normal again.
Other people only see strange codes. Even the computers that do the work cannot see your numbers.
So you get two things: privacy for users and trust for regulators.
s.kaito.ai/r3Gxnw2
I read a report on AI agents and money and, honestly, I expected more. Most payments are tiny, like paying for an API or a bit of data. The "AI runs finance" story isn't real yet.
@kstellana from @GenLayer said something I keep thinking about. An agent can do exactly what you tell it and still make a bad call, maybe because the info was wrong or the other side never delivered.
Even with a $100K limit, it can spend all of it on the wrong thing.
Everyone talks about limits and permissions. Hardly anyone talks about what happens after it goes wrong.
So Albert, here's what I'm stuck on. If someone tampered with the data an agent used, how would a system know the bad decision came from the data and not from the agent reasoning badly?
And if an agent can't prove why it decided something, can a dispute layer ever really be fair?
Curious what you think.
🤖 Made with AI
You have a lot of data online. Your bank, your job, your name. It is yours.
But in Web3, there is a problem. To show your data, you must give it to others. This is not safe.
@primus_labs has a solution. It uses a tool called zkTLS. With zkTLS, you can show something is true. But you do not show your private data.
For example:
You can show you have enough money. Nobody sees how much.
You can show you have a job. Nobody sees your papers.
You can show you are a good user. Nobody sees your story.
Developers can use Primus tools to connect web data to the blockchain. It is easy and fast.
Now you do not need to choose. You can be safe. You can be private. You can be true.
Web3 is better with Primus.
Marethereum retweeted
I am #Thanos
@conso_xyz
With all eight of them, I can restore balance to the galaxy with a single snap. And I call that Mercy
CONSO BEAR MEME CONTEST 🐻❄️
We’re allocating 30 BOTS GTD spots to the best CONSO Bear memes 👀
🎨 Get creative
🐦 Post your meme as a tweet
👇 Drop your tweet link in the replies
The memes with the highest engagement and most creative ideas will stand out
Creative work will be recognised and featured by CONSO 🩵
Let the memes begin 🫡
I've heard the bots we earn through our posts are not GTD 🤒
Are the rumors right @conso_xyz?
🤖 Made with AI
Just checked my @conso_xyz CONSO BOT eligibility 🤖
Check yours and earn more bots with impressions on conso.xyz/bots?v=2
Marethereum retweeted
The line is open.
1,111 PAYPHONES.
Free mint on Robinhood Chain.
Allowlist is open.
payphonenft.xyz
Marethereum retweeted
متاسفانه توییتی که زده بودم واسه @conso_xyz رو اشتباهی دیلیت کردم 🥲🥲
دمتون گرم اگه ی حمایت کوچیک کنید منم ببرسم به ویوو مورد نظر
Marethereum retweeted
Spent some time exploring the @conso_xyz docs today and the setup was easier to follow than I expected. Curious to try the Miner app next and see how it fits into my daily routine. Will share my experience soon.
Marethereum retweeted
bro has been streaming so long that hitting a $7,000 win on Jack.com didn't even wake him up @N3onreload 💀
Marethereum retweeted
The overlooked aspect of @axisrobotics is not the technical side, but the psychological one.
By making data collection browser based (MuJoCo WASM), they've removed every barrier to entry. No hardware. No installs. No expertise required.
Axis Robotics Simulation Stack
» RoboVerse: Unified cross simulator framework
» MetaSim: Standardized scene graphs & automatic translation
» MuJoCo (WASM): Browser based data collection
» IsaacSim: Photorealistic augmentation & replay
One interface for all worlds. Trajectories move freely between sims.
They're turning contributing to Physical AI into something as casual as playing a browser game. That's how they get millions of data points.
s.kaito.ai/yoWsoQe
In your opinion, does removing technical barriers really lead to better data, or does it simply result in more data?
🤝 Paid partnership
Marethereum retweeted
hitting back-to-back-to-back wins on Jack.com while some of us are struggling to get any luck @N3onreload 😭
Marethereum retweeted
Our conversations about crypto revolve around what to buy,
what’s pumping, which token might be the next big thing, and when to take profit.
Nothing wrong with that,
but sometimes I wonder, is that all there is to crypto?
Like, beyond watching charts and waiting for your bags to do something,
what else can we actually do with the crypto we hold?
Because outside crypto, we still have a regular life to live.
We travel, buy things online, pay for mobile data and handle all sorts of everyday expenses.
And most times, we handle these things with regular money, even when we have crypto sitting in our wallets.
That got me thinking about another side of crypto:
not just what it could be worth someday, but what we can actually use it for today.
Marethereum retweeted
A robot’s intelligence is only as useful as its ability to handle the real world.
That’s one reason I’m paying attention to @axisrobotics
Physical AI is moving beyond impressive demos. The bigger challenge is helping robots perform reliably when objects, environments, and tasks change.
Axis is working on the data infrastructure behind that progress, combining real-world demonstrations, simulation data, and feedback from robot performance.
Its recent research highlights an important detail: more data doesn’t automatically mean better results. In one experiment, carefully selected simulation data improved the average success rate across three tasks from 16.7% to 85.8%, while adding the full simulation pool reached only 25.8%. These results apply to the specific experimental setup, but the lesson is worth understanding.
Data quality, task relevance, and real-world validation all matter.
That’s also why the @KaitoAI × @axisrobotics Creator Program interests me.
It gives creators a way to explore the technology, share their own analysis, and help more people understand why the data layer matters for Physical AI. The program also connects content creation with bringing new contributors into the Axis ecosystem.
For me, this is more interesting than simply posting about a token or an upcoming TGE.
It’s an opportunity to explain the technology, follow the research, and document how the ecosystem develops.
Physical AI needs more than smarter models. It needs better ways to learn from the world.
That’s the part of Axis I want to keep exploring.
Signup - s.kaito.ai/yMieYdg
@KaitoAI
🤖 Made with AI