Rahul
2.1K posts
We were going to raise another VC round at $150 Mn FDV However - what was right thing to do is to launch a community round at $15 Mn FDV We are gonna do the right thing 🫡 Doing the right thing matters more than anything.
We were going to raise another VC round at $150 Mn FDV However - what was right thing to do is to launch a community round at $15 Mn FDV We are gonna do the right thing 🫡 Doing the right thing matters more than anything.
🟨 Why Payroll Can’t Go Onchain Without @zama 🏢 Payroll is one of the most basic things every company does. Paying salaries, bonuses, incentives, and reimbursements happens every month yet blockchains are still completely unusable for this. 📝 Let's See Why 👇 Because blockchains are public by default. If a company pays salaries onchain today, everyone can see who earns what, when they get paid, and how much. That’s unacceptable for employees, illegal in many regions, and impossible for real businesses. This is the real reason payroll still lives in banks and Web2 systems. 🟨 How @zama solve this problem 🤔 Zama uses Fully Homomorphic Encryption (FHE) – a technology that allows computations to happen on encrypted data. In simple words, smart contracts can calculate salaries, bonuses, taxes, and payouts without ever seeing the actual numbers. 🔶 Here’s what that enables: • Salary amounts stay private • Payroll logic still runs onchain • Taxes and deductions are calculated correctly • Payments remain auditable and verifiable • Only the employee can see their own salary A company could run payroll fully onchain while keeping compensation data confidential – just like traditional payroll systems, but with blockchain transparency where it matters. This isn’t just for startups or DAOs. Global companies, remote teams, and enterprises could use onchain payroll without leaking sensitive information. DAOs could finally pay contributors fairly without exposing internal compensation structures. Even governments could distribute funds while protecting citizen privacy. For blockchains to replace real financial infrastructure, they must handle real-world use cases and payroll is one of the biggest ones. Zama doesn’t just make payroll possible. It makes private, compliant, onchain payroll realistic for the first time. #ZamaCreatorProgram
🟨 Why Payroll Can’t Go Onchain Without @zama 🏢 Payroll is one of the most basic things every company does. Paying salaries, bonuses, incentives, and reimbursements happens every month yet blockchains are still completely unusable for this. 📝 Let's See Why 👇 Because blockchains are public by default. If a company pays salaries onchain today, everyone can see who earns what, when they get paid, and how much. That’s unacceptable for employees, illegal in many regions, and impossible for real businesses. This is the real reason payroll still lives in banks and Web2 systems. 🟨 How @zama solve this problem 🤔 Zama uses Fully Homomorphic Encryption (FHE) – a technology that allows computations to happen on encrypted data. In simple words, smart contracts can calculate salaries, bonuses, taxes, and payouts without ever seeing the actual numbers. 🔶 Here’s what that enables: • Salary amounts stay private • Payroll logic still runs onchain • Taxes and deductions are calculated correctly • Payments remain auditable and verifiable • Only the employee can see their own salary A company could run payroll fully onchain while keeping compensation data confidential – just like traditional payroll systems, but with blockchain transparency where it matters. This isn’t just for startups or DAOs. Global companies, remote teams, and enterprises could use onchain payroll without leaking sensitive information. DAOs could finally pay contributors fairly without exposing internal compensation structures. Even governments could distribute funds while protecting citizen privacy. For blockchains to replace real financial infrastructure, they must handle real-world use cases and payroll is one of the biggest ones. Zama doesn’t just make payroll possible. It makes private, compliant, onchain payroll realistic for the first time. #ZamaCreatorProgram
i still believe BELiEVE @SentientAGI will cook
don't you? or have you lost faith, anon ...
> here's my reason nr. #102 - SERA
> bonus* - could @zama be deployed on Sentient?
< 1. what SERA is >
SERA aka Semantic Embedding & Reasoning Agent
it's Senti's new architecture
for building high-performance AI agents
that are both FAST and SMART
built using a fully open-source stack
SERA-Crypto is the FIRST agent built with this style
it's a cutting edge specialist in crypto tokens research
< 2. what closed source models it beat>
on the DMind Web3 Benchmark 👇
Perplexity Finance
Gemini 2.5 Pro
Claude Opus 4.1
GPT-o3
on Sentient's Internal Benchmark 👇
GPT-5 Medium Reasoning
Grok 4
Perplexity Finance
it's the #1 agent OVERALL
-------------->
< 3. SERA'S EDGE >
PROVIDES 🧠
→ expert-level, data-driven analysis on
→ fundamental research (tokenomics, backers)
→ on-chain analytics (whale moves, flows)
→ trading strategies and risk assessment
→ fresh, temporally accurate market narratives
ADVANTAGES ☑️
PERFORMANCE = TOP - beats closed-source giants
OPEN-SOURCE = fully transparent and customizable
LOW COST & LATENCY = much cheaper and faster than ReAct-style agents
CONSISTENCY = embedding routing is more reliable and less random than LLM-only reasoning
-----------------
can @zama FHE be used to keep Sentient private?
YES 👀
- and i think primarily for privacy for when users interact with the AI models/agents (inference)
- let's assume Senti is an L1 - Zama's endgame is to be compatible on multiple chains EVM, SVM & probably Senti will be EvM compatible
- fully homomorphic encryption will already be usable on SOL and Ethereum from Day one as Zama is not a chain in itself, but a privacy focused protocol
[ how would it work ☑️]
🔹user encrypts their sensitive query
🟨 GM @zama Friends ☀️ In the last posts, we talked about privacy in Generative AI and AI agents – why AI can’t go mainstream in sensitive areas unless data stays protected, and why exposing raw data is a deal-breaker for real users and enterprises. Today, i try to show why zama important for big institutions. In the next post, we’ll talk about 👉 Why Institutions Can’t Use Blockchains Without Zama This isn’t just a crypto discussion. It’s about how finance, AI, and global institutions actually move on-chain. #ZamaCreatorProgram
🟨 Generative AI Without Data Leaks? @zama Makes It Possible 🪧 Let's see how 👇 🗯️ Most people think Zama is only about crypto privacy, but the real story is much bigger FHE can completely change how generative AI works. Today, AI models like ChatGPT, Midjourney, and Claude need access to your raw data. Your prompts, uploads, history – all exposed. That’s why AI adoption in hospitals, banks, enterprises, and governments moves slowly. The risk is too high. ➡️ Now imagine this ➤ 1. You send encrypted data to an AI model Your text, voice, image, or document stays encrypted end-to-end. ➤ 2. The AI generates results without ever seeing the real data Thanks to Zama’s FHE, the model can run computations directly on encrypted inputs. ➤ 3. The output comes back encrypted and only you can decrypt it No leaks. No visibility for the model. No storage risk. This is the missing layer for true “private AI.” 🔸————————————🔸 🔐 What generative AI looks like with Zama FHE: • Private medical reports: Upload encrypted scans → AI diagnoses → zero raw data exposure. • Confidential business planning: AI can access revenue, costs, payroll – but only in encrypted form. • Secure creative workflows: Design files, audio, code, and datasets stay protected while AI works on them. • Enterprise-grade AI assistants: Agents can automate full workflows without ever touching unencrypted user info. 🔸————————————🔸 💥 Why this matters AI is moving from helpful to essential. But for the next billion users and global organizations, privacy is non-negotiable. Zama’s FHE makes it possible: • Full AI functionality • Zero data exposure • End-to-end encryption • Composable with blockchain or traditional systems This is not just a crypto upgrade – it’s the foundation for private, compliant, real-world AI. #ZamaCreatorProgram
