Let’s face it, While Zama’s current ss3 scoring methodology has faced challenges and sparked frustration, the project’s potential remains undeniable.
Zama is not merely developing cutting edge technology, it is laying the foundation for a new economic model in the Privacy Web3.
Here’s the core idea: every transaction that requires confidentiality will incur a “privacy fee,” which takes the form of fees paid to Zama’s protocol.
To draw parallels:
> Ethereum charges gas fees for computation.
> Chainlink collects oracle fees for data verification.
> Zero-Knowledge (ZK) protocols impose prover fees for cryptographic proofs.
Now, Fully Homomorphic Encryption (FHE) introduces a novel category: Privacy Fees.
If privacy becomes a necessity for 10 to 20% of all blockchain transactions, Zama’s fees will be collected across multiple ecosystems, transcending individual chains.
This positions Zama as a sort of “highway toll operator” for confidential transactions on the decentralized web.
Importantly, this model goes beyond tokenomics, it heralds the creation of an entirely new industry centered around privacy infrastructure.
#ZamaCreatorProgram
A future where your identity isn’t the product.
that’s what FHE unlocks.
By keeping user data encrypted end to end, Zama enables platforms where recruiters evaluate skills without exposing identities, and users control exactly when and what they reveal.
Confidential LinkedIn isn’t just a new UX.
It’s a new trust model:
- Encrypted profiles by default
- Selective disclosure instead of forced visibility
- Merit first matching with FHE secured logic
- Zero-knowledge access requests with user controlled decryption
This is how professional networking should work in 2025. privacy native, harassment proof, and powered by Zama.
#ZamaCreatorProgram
A future where your identity isn’t the product.
that’s what FHE unlocks.
By keeping user data encrypted end to end, Zama enables platforms where recruiters evaluate skills without exposing identities, and users control exactly when and what they reveal.
Confidential LinkedIn isn’t just a new UX.
It’s a new trust model:
- Encrypted profiles by default
- Selective disclosure instead of forced visibility
- Merit first matching with FHE secured logic
- Zero-knowledge access requests with user controlled decryption
This is how professional networking should work in 2025. privacy native, harassment proof, and powered by Zama.
#ZamaCreatorProgram
OpenZeppelin joining Zama as a genesis MPC operator is actually a strategic fit, because OpenZeppelin brings a decade of hard earned security expertise and battle tested developer tooling (their open source Contracts library is an industry standard used to secure tens of trillions in on-chain value).
Technically, OpenZeppelin’s role as an MPC operator means they’ll participate in distributed key management for the private FHE key that powers the Zama Protocol, a critical trust boundary.
By combining MPC custody with Zama’s FHE execution layer, the network keeps user data encrypted end to end while preserving public verifiability of computation.
That’s confidentiality without losing auditability.
this partnership hardens the protocol’s operational security and lowers the barrier for enterprises and devs to build confidential smart contracts thereby accelerating real world adoption of FHE powered dApps.
#ZamaCreatorProgram
OpenZeppelin joining Zama as a genesis MPC operator is actually a strategic fit, because OpenZeppelin brings a decade of hard earned security expertise and battle tested developer tooling (their open source Contracts library is an industry standard used to secure tens of trillions in on-chain value).
Technically, OpenZeppelin’s role as an MPC operator means they’ll participate in distributed key management for the private FHE key that powers the Zama Protocol, a critical trust boundary.
By combining MPC custody with Zama’s FHE execution layer, the network keeps user data encrypted end to end while preserving public verifiability of computation.
That’s confidentiality without losing auditability.
this partnership hardens the protocol’s operational security and lowers the barrier for enterprises and devs to build confidential smart contracts thereby accelerating real world adoption of FHE powered dApps.
#ZamaCreatorProgram
If you’ve been following my previous Gensyn node setup guides and want to upgrade your node to Code Zero, here’s the simplest way to do it.
Update Command
Run this one liner inside your rl-swarm directory:
deactivate && rm -rf .venv && git stash && git pull && python3 -m venv .venv && source .venv/bin/activate && bash run_rl_swarm.sh
Once the command finishes, restart your node and you’re done.
Your Gensyn node will now be updated and running Code Zero.
The ZAMA Token: Powering Confidential Computing on Public Blockchains.
The upcoming $ZAMA token serves as the economic backbone of the Zama Confidential Blockchain Protocol, a system that brings Fully Homomorphic Encryption (FHE) to mainstream blockchain infrastructure.
Its purpose is simple: enable confidential transactions, reward network operators, and secure the protocol through cryptoeconomic incentives.
Core Utility
The $ZAMA token is designed for three primary functions:
> Confidentiality Fees.
Users pay protocol fees to execute encrypted transactions on public blockchains. Zama’s architecture ensures data remains fully encrypted end to end while still being computable, offering privacy without sacrificing composability.
> Staking and Network Security.
Operators who participate in securing the encrypted FHE key material stake ZAMA to align incentives. In return, they earn token rewards for providing reliable, distributed infrastructure.
> Governance.
Token holders will participate in decisions that shape fee parameters, upgrades, and protocol evolution.
Zama also introduces a burn and mint mechanism:
Fees paid for confidential computation are burned, reducing circulating supply.
New tokens are minted to reward operators for maintaining the network.
This model ties the token’s demand directly to protocol usage, while creating longterm sustainability for operators.
Why It Matters
The ZAMA token supports the first production my ready FHE system designed for public blockchains. Its potential lies in unlocking use cases that were previously impossible:
> Confidential trading and DeFi
> Private payments with on-chain verifiability
> Encrypted smart contracts
> Secure AI inference on-chain
> Enterprise-grade data privacy without new chains or trusted hardware
By bringing confidentiality to any blockchain without requiring users to switch ecosystems. Zama positions itself as the privacy layer for Web3.
With Testnet v2 released and mainnet approaching, the ZAMA token is set to become a key asset in the intersection of privacy, cryptography, and on-chain compute.
As more applications adopt FHE powered features, demand for confidential execution and by extension, for the token naturally increases.
Incase you don’t want to read through everything @randhindi said in his article, here’s a simplified version.
Zama Testnet v2 Is Live, Mainnet and Token is expected to come next.
Zama has released Testnet v2, the final step before launching the Zama mainnet and the $ZAMA token.
So what Zama Is?
Zama is a confidentiality layer that adds FHE based encryption on top of existing blockchains similar to how HTTPS added encryption to the web. It’s not a new L1 or L2; it makes current chains private.
What’s New in Testnet v2.
> it’s fully rebuilt as the mainnet ready version.
> Already supports building and deploying confidential apps.
> Completed a 55 hour distributed key generation ceremony with all genesis operators, the first large scale deployment of a robust threshold FHE system
> Now entering stress testing before the mainnet beta goes live
Developers Are Already Shipping Apps.
A growing ecosystem is building on Zama, including:
Zaiffer: confidential ERC-20 tokens (ERC-7984) for private DeFi
TokenOps: confidential vesting, airdrops, and distributions
Bron Wallet: first wallet to support encrypted ERC-7984 tokens
Raycash: a self custodial bank using confidential stablecoins
More confidential apps will launch with mainnet, and Zama is actively supporting founders building in this space.
Strong Operator Set.
Zama’s genesis operators include Ledger, Fireblocks, Unit 410, Luganodes, Figment, OpenZeppelin, Conduit, LayerZero and more organizations that collectively secure over $100B in crypto assets.
Their public reputation acts as implicit restaking, making the protocol more secure from day one.
Largest Audit Effort for a First Web3 Protocol.
Zama conducted nearly 70 auditor weeks of security reviews across the entire technology stack (FHE library, MPC KMS, coprocessor, gateway, token, staking, governance, etc.).
Auditors include Trail of Bits, OpenZeppelin, Zenith and more.
The protocol achieves 128-bit IND-CPAD security, resistant even to quantum attacks.
The $ZAMA Token.
Launching with mainnet, $ZAMA is used for:
> Fees: paid in $ZAMA but fixed in USD terms; all fees are burned
> Staking: operators stake $ZAMA and earn rewards via controlled emissions
> Delegation: token holders can delegate to operators to help secure the network
More major announcements are coming soon.
Thanks for this info @randhindi
Follow @Mr_Albert_blaq for more understandable breakdown.
#ZamaCreatorProgram
Incase you don’t want to read through everything @randhindi said in his article, here’s a simplified version.
Zama Testnet v2 Is Live, Mainnet and Token is expected to come next.
Zama has released Testnet v2, the final step before launching the Zama mainnet and the $ZAMA token.
So what Zama Is?
Zama is a confidentiality layer that adds FHE based encryption on top of existing blockchains similar to how HTTPS added encryption to the web. It’s not a new L1 or L2; it makes current chains private.
What’s New in Testnet v2.
> it’s fully rebuilt as the mainnet ready version.
> Already supports building and deploying confidential apps.
> Completed a 55 hour distributed key generation ceremony with all genesis operators, the first large scale deployment of a robust threshold FHE system
> Now entering stress testing before the mainnet beta goes live
Developers Are Already Shipping Apps.
A growing ecosystem is building on Zama, including:
Zaiffer: confidential ERC-20 tokens (ERC-7984) for private DeFi
TokenOps: confidential vesting, airdrops, and distributions
Bron Wallet: first wallet to support encrypted ERC-7984 tokens
Raycash: a self custodial bank using confidential stablecoins
More confidential apps will launch with mainnet, and Zama is actively supporting founders building in this space.
Strong Operator Set.
Zama’s genesis operators include Ledger, Fireblocks, Unit 410, Luganodes, Figment, OpenZeppelin, Conduit, LayerZero and more organizations that collectively secure over $100B in crypto assets.
Their public reputation acts as implicit restaking, making the protocol more secure from day one.
Largest Audit Effort for a First Web3 Protocol.
Zama conducted nearly 70 auditor weeks of security reviews across the entire technology stack (FHE library, MPC KMS, coprocessor, gateway, token, staking, governance, etc.).
Auditors include Trail of Bits, OpenZeppelin, Zenith and more.
The protocol achieves 128-bit IND-CPAD security, resistant even to quantum attacks.
The $ZAMA Token.
Launching with mainnet, $ZAMA is used for:
> Fees: paid in $ZAMA but fixed in USD terms; all fees are burned
> Staking: operators stake $ZAMA and earn rewards via controlled emissions
> Delegation: token holders can delegate to operators to help secure the network
More major announcements are coming soon.
Thanks for this info @randhindi
Follow @Mr_Albert_blaq for more understandable breakdown.
#ZamaCreatorProgram
The ZAMA Token: Powering Confidential Computing on Public Blockchains.
The upcoming $ZAMA token serves as the economic backbone of the Zama Confidential Blockchain Protocol, a system that brings Fully Homomorphic Encryption (FHE) to mainstream blockchain infrastructure.
Its purpose is simple: enable confidential transactions, reward network operators, and secure the protocol through cryptoeconomic incentives.
Core Utility
The $ZAMA token is designed for three primary functions:
> Confidentiality Fees.
Users pay protocol fees to execute encrypted transactions on public blockchains. Zama’s architecture ensures data remains fully encrypted end to end while still being computable, offering privacy without sacrificing composability.
> Staking and Network Security.
Operators who participate in securing the encrypted FHE key material stake ZAMA to align incentives. In return, they earn token rewards for providing reliable, distributed infrastructure.
> Governance.
Token holders will participate in decisions that shape fee parameters, upgrades, and protocol evolution.
Zama also introduces a burn and mint mechanism:
Fees paid for confidential computation are burned, reducing circulating supply.
New tokens are minted to reward operators for maintaining the network.
This model ties the token’s demand directly to protocol usage, while creating longterm sustainability for operators.
Why It Matters
The ZAMA token supports the first production my ready FHE system designed for public blockchains. Its potential lies in unlocking use cases that were previously impossible:
> Confidential trading and DeFi
> Private payments with on-chain verifiability
> Encrypted smart contracts
> Secure AI inference on-chain
> Enterprise-grade data privacy without new chains or trusted hardware
By bringing confidentiality to any blockchain without requiring users to switch ecosystems. Zama positions itself as the privacy layer for Web3.
With Testnet v2 released and mainnet approaching, the ZAMA token is set to become a key asset in the intersection of privacy, cryptography, and on-chain compute.
As more applications adopt FHE powered features, demand for confidential execution and by extension, for the token naturally increases.
Let’s face it, While Zama’s current ss3 scoring methodology has faced challenges and sparked frustration, the project’s potential remains undeniable.
Zama is not merely developing cutting edge technology, it is laying the foundation for a new economic model in the Privacy Web3.
Here’s the core idea: every transaction that requires confidentiality will incur a “privacy fee,” which takes the form of fees paid to Zama’s protocol.
To draw parallels:
> Ethereum charges gas fees for computation.
> Chainlink collects oracle fees for data verification.
> Zero-Knowledge (ZK) protocols impose prover fees for cryptographic proofs.
Now, Fully Homomorphic Encryption (FHE) introduces a novel category: Privacy Fees.
If privacy becomes a necessity for 10 to 20% of all blockchain transactions, Zama’s fees will be collected across multiple ecosystems, transcending individual chains.
This positions Zama as a sort of “highway toll operator” for confidential transactions on the decentralized web.
Importantly, this model goes beyond tokenomics, it heralds the creation of an entirely new industry centered around privacy infrastructure.
#ZamaCreatorProgram
I promised to drop a quick guide on how I participated in the @gensynai testnet node. here’s exactly how I did it.
First off, you can either use a GPU or a VPS to run your node.
I personally went with a VPS setup.
1st: Head over to Contabo and get yourself a VPS:https://t.co/gYDc10JlYp
Make sure you choose a plan with at least 24GB RAM / 200GB storage.
Once your VPS is ready, open your terminal and follow the steps below: 👇
everything below assumes you’re on Linux.
Step1: Install Python & Basic Tools
Run the following commands:
sudo apt update && sudo apt install -y python3 python3-venv python3-pip curl wget screen git lsof
Step 2: Install Node.js, npm, and Yarn
Install Node.js (v20):
curl -fsSL https://t.co/XSAeeMcpCl | sudo -E bash -
sudo apt update && sudo apt install -y nodejs
Install Yarn:
curl -sS https://t.co/QPBBo8f8Ix | sudo apt-key add -
echo "deb https://t.co/RA5ZolDUWC stable main" | sudo tee /etc/apt/sources.list.d/yarn.list > /dev/null
sudo apt update && sudo apt install -y yarn
Step 3: Start the Gensyn Node
1. Create a screen session (for VPS users):
screen -S gensyn
2. Clone the RL-Swarm repo:
git clone https://t.co/aUxurZZJPQ
cd rl-swarm
3. Create & activate a virtual environment:
python3 -m venv .venv
source .venv/bin/activate
4. Run the node:
./run_rl_swarm.sh
After running, it will prompt you to log in at localhost:3000.
If the page doesn’t open, follow the next steps 👇
Step 5: Fix VPS Connection
Allow necessary ports:
sudo apt install ufw -y
sudo ufw allow 22
sudo ufw allow 3000/tcp
sudo ufw enable
Install Cloudflared:
wget -q https://t.co/9Q6CllDmda
sudo dpkg -i cloudflared-linux-amd64.deb
cloudflared --version
Run the tunnel:
Make sure your node is still running on port 3000, then in a new terminal:
cloudflared tunnel --url http://localhost:3000
Copy the link that appears and open it on your local browser, then log in with your email.
After doing this return to your main screen. (The first screen you opened).
It will prompt: Would you like to push models you train in the RL swarm to the Hugging Face Hub? [Y/N] Enter N
Next It will prompt: Enter the name of the model you want to use in huggingface repo/name format, or press [Enter] to use the default model. (press Enter and get defalut model).
Finally It will prompt: Would you like your model to participate in the AI Prediction Market? [Y/N] Enter Y
If you have followed this guide currently your node will be up on running.
Congratulations.
Useful Commands
Detach from screen: Ctrl + A + D
Reattach: screen -r gensyn
Monitor your node progress here: https://t.co/h8yUc2N73A
Episode 1 — The Story of Privacy: Why Zama Exists.
Privacy wasn’t always a tech problem.
In the early days of the internet, we shared messages, photos, and ideas not realizing we were giving away data that would soon become the world’s most valuable currency.
By 2010, companies had discovered that “free” apps weren’t really free — we were the product.
Every click, location ping, and chat became fuel for AI systems we couldn’t see.
AI began learning everything about us.
But we couldn’t control what it learned, how it used our data, or who else had access to it.
That’s when privacy stopped being personal and became structural.
Encryption helped, but only halfway.
You could encrypt data at rest or in transit, but once you wanted to use it (say, run an AI model on it), it had to be decrypted, leaving it exposed again.
Then came Fully Homomorphic Encryption (FHE) — a breakthrough that allows computations on encrypted data without ever decrypting it.
It’s like letting someone cook with your secret recipe without ever showing them the ingredients.
Zama saw this and said:
“What if AI and blockchain could be private by default?”
Not privacy as an add-on.
Privacy as an architecture.
That’s Zama’s mission — to make encryption usable for real world systems.
Their tools make it possible for developers to build AI apps, smart contracts, and services that can run entirely on encrypted data.
Imagine AI models that learn from your health data without ever seeing it.
Or blockchain networks that verify your identity without revealing it.
That’s the world Zama is designing.
Privacy isn’t about hiding anymore.
It’s about control. deciding who gets to see, use, or benefit from your data.
And FHE is the bridge between a private individual and a transparent world.
So next time you hear about @zama_fhe think of it as the team rewriting the rules of digital trust — one encrypted operation at a time.
END.
Tomorrow Episode 2 coming soon — How Fully Homomorphic Encryption Actually Works (Explained Simply).
#ZamaCreatorProgram @zama_fhe.