Biyoola
@SAMoblitz
👉😑 Video Content Creator (Check my highlights) wannabe contributor @ritualfnd & @ritualnet| creator @zama_fhe
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Day 4: Ritual for LLM Dapps Want to add AI to your app? Right now, that means sending your data to Big Tech and just… trusting them. So; 🚩They decide how it runs. 🚩They can peek at your prompts. 🚩And you can’t change a thing. With @ritualnet, it’s different. Here; 🟢You…
Day 3: Ritual for zkML AI can make predictions and ZK can prove things onchain. But together? They’re like peanut butter & jelly perfect combo. Yet, the problem is as simple as it is complicated; 1️⃣AI runs offchain, hard to trust 2️⃣ZK runs onchain, but can’t “think” like AI…
Im a doctor who got into crypto because I hate how patient data gets abused. Yesterday I trained an ML model on 10,000 encrypted medical records using @zama Concrete ML. The model learned patterns for diabetes risk accuracy 94% and NEVER once saw the raw data. Not me, not the…
Genesis Operators are the first nodes in @zama's encrypted execution network. They’re not your average validators, they’re the builders, the gatekeepers, and the launchpad for fully private computation at scale. 🟡Who They Are Zama's genesis Operators are Skilled operators with…
Vaults are where everything starts inside @symbioticfi. They’re the places where you deposit collateral (whether it’s ETH, LSTs, LRTs, or other ERC-20 tokens) and where that collateral gets connected to the networks that need security. Think of vaults as the power stations of…
Season 1 of the $OMN Points Program is LIVE! Omnera is entering a new chapter. One built around you, the community. Over $1M in rewards are on the table for early participants. Here’s how to start earning points 🧵
Crypto has always been about making capital work harder and restaking has always been a meta. Instead of earning a single yield from staking, your assets can now secure multiple networks at once, turning one stream of value into several. @symbioticfi is built specifically to…
The $30B business lesson is simple: when AI runs on a shared protocol and understands real context, it creates unstoppable relevance that compounds across every product. @ConsumerFi x.com/JonHook/status…
Whose side is AI really on?’ drives home one truth: without privacy, control of your data, and real ownership, AI will never truly work for the user. @ConsumerFi x.com/JonHook/status…
Recommendation Engines & the Personal Context Protocol made it clear that AI gets exponentially more powerful when it understands context, follows an open protocol, and delivers pure relevance tailored to every user. @ConsumerFi x.com/JonHook/status…
The Ultimate Stack shows how AI and intents reshape coordination, bringing apps closer to true ownership while pushing the NEAR ecosystem toward a more intuitive, agent-driven future. x.com/ConsumerFi/sta… @ConsumerFi
How is the ConsumerFi Protocol leveraging NEAR's technology stack? How are we using both NEAR Intents + NEAR AI at the Protocol and application layer? New to the NEAR ecosystem? TLDR waiting for you Here is our CPO @dleer_defi to explain more 👇
I’ve been saying it for weeks: on-chain AI can’t work without privacy, full stop. As long as models and data are exposed on public chains, AI on crypto rails will stay limited to toy demos. That’s why what @zama is building is a breakthrough, not an iteration. Zama's tools like…
Been a while since i talked about @zama, and there's been a lot of eyes on Zama, because FHE’s about to shake up privacy completely, and @zama is going to be right at the heart of it. Here are actual examples of IRL cases showing just how massive Zama can become: 🟡Truly…
Why @zama_fhe's FHE is the “Holy Grail” of Cryptography. Most encryption only protects your data when stored or sent. But the moment you want to use it, you have to decrypt it, therefore exposing it. 😬 Zama's FHE changes the rules. It lets computers compute directly on…
Meet Zama and FHE What if computers could do math on secrets without ever seeing them? That’s what Fully Homomorphic Encryption (FHE) does. It lets computers perform calculations directly on encrypted data, no peeking at the raw info. This is what @zama_fhe (an open-source…
Why FHE (and Zama) Matter Today Every time you use the cloud, your data gets decrypted somewhere, hospitals, banks, apps… they all see more than you’d like. @zama_fhe is fixing that. Their tools let you run AI or analytics directly on encrypted data using FHE, so no one ever…
Why @zama_fhe's FHE is the “Holy Grail” of Cryptography. Most encryption only protects your data when stored or sent. But the moment you want to use it, you have to decrypt it, therefore exposing it. 😬 Zama's FHE changes the rules. It lets computers compute directly on…
Zama: Making FHE Usable for Developers For years, Fully Homomorphic Encryption (FHE) was a beautiful idea stuck in research papers, untill @zama_fhe changed the story. @zama_fhe is building open-source tools (like Concrete and Concrete-ML) that let developers write normal…
Why FHE (and Zama) Matter Today Every time you use the cloud, your data gets decrypted somewhere, hospitals, banks, apps… they all see more than you’d like. @zama_fhe is fixing that. Their tools let you run AI or analytics directly on encrypted data using FHE, so no one ever…
Meet the Minds Behind Zama @zama_fhe was founded by Dr. Rand Hindi and Dr. Pascal Paillier, with over 100 other team members consisting of cryptographers, ML engineers, and blockchain devs, all rewriting what privacy can mean in software. These are the amazing brains behind…
Zama’s Journey Founded in 2020, @zama_fhe set out to make Fully Homomorphic Encryption (FHE) practical, turning heavy cryptography into tools developers can actually use. Fast-forward to 2025: @zama_fhe is powering encrypted AI, confidential smart contracts, and real FHE apps.…
Meet the Minds Behind Zama @zama_fhe was founded by Dr. Rand Hindi and Dr. Pascal Paillier, with over 100 other team members consisting of cryptographers, ML engineers, and blockchain devs, all rewriting what privacy can mean in software. These are the amazing brains behind…
@zama_fhe's FHE vs Other Privacy Tech Not all privacy tech is built the same 🟡MPC splits data between parties. It's secure, but slow and complex. 🟡Enclaves rely on special chips. It's fast, but you have to trust the hardware. 🟡FHE (@zama_fhe's magic) keeps data encrypted…
The Zama Tech Stack: Privacy as Code @zama_fhe built a full stack of open-source tech: 🔹 Concrete: compiles normal Python into FHE code. 🔹 Concrete-ML: lets AI models run on encrypted data. 🔹 fhEVM: brings encrypted smart contracts to blockchains. Together, they’re like the…
The @zama_fhe Tech Stack: Concrete Simplified @zama_fhe's technology centers around Concrete, a tool (SDK Compiler) transforming tricky Fully Homomorphic Encryption (FHE) into something resembling standard Python coding. Think of Concrete as a cryptographic autopilot: it takes…
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