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À• Shòlá

@0xDfinity

Katılım Eylül 2022
299 Takip Edilen1.3K Takipçiler
shantelle
shantelle@shantelleawo·
super excited to share that I have joined @golemproject to help grow @arkivnetwork into the default database for teams building on @ethereum! one thing that has become increasingly clear to me is that as the industry matures, data infrastructure is becoming just as important as execution infrastructure. dApps are becoming more intelligent, real-time and data-heavy, which means the question is no longer just where transactions settle... but also where data lives, how it’s verified, and how developers can actually use it. looking forward to what’s ahead and happy to be back building ⚡️
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À• Shòlá
À• Shòlá@0xDfinity·
@fhenix Point me to the "get started doc" / starter / beginner doc
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Fhenix
Fhenix@fhenix·
Why are you reading this post when you could be building encrypted apps with CoFHE?
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À• Shòlá
À• Shòlá@0xDfinity·
Received this from @dcjanio this morning after submitting to the Zama Developer Program. Small moments like this matter more than people think. Good ecosystems make builders feel like participants, not outsiders. Now I’m even more motivated to keep pushing the confidential commerce infrastructure I’m building around FHE.
À• Shòlá tweet media
À• Shòlá@0xDfinity

Working with FHEVM stack isn't actually hard as I thought it would be I just shipped Confidential commerce protocol for messaging platforms, built with Zama FHEVM and submitted to @OpenBuildxyz Looking forward to turning it to OS for FHECCP (Fully homomorphic encryption for confidential commerce protocol)

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cryptoverse.sui
cryptoverse.sui@Cryptoverse67·
gMiden guys, hope you're ready for what's coming 👀 Miden Mainnet : The Era of Sovereign Privacy In yesterday’s podcast, the founder confirmed that Miden Mainnet is officially slated for launch in Q2 2026. Polygon Miden is a ZK-rollup that moves computation to the client side. This isn’t just an upgrade, it’s a shift where privacy is the foundation, not a feature. ​The Highlights : - ​True Privacy : Secure payroll, payments, and trading become natively possible. - The AI Race : AI is making on-chain tracking cheaper; the window to build real privacy infrastructure is closing fast. - Early Momentum : The ecosystem is already growing with live projects. The future of private, scalable blockchain is arriving. Keep an eye on @0xMiden.
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cryptoverse.sui@Cryptoverse67

morning everyone 🌞 happy taco tuesday - not eligible for fluent - not eligible for CTR - not a dev - missed so many cook NFT don't know how I'm going to make 5figs this year but with belief wagmi @0xMiden Mainnet soon 👀 what are you waiting for, start contributing now.

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À• Shòlá
À• Shòlá@0xDfinity·
Working with FHEVM stack isn't actually hard as I thought it would be I just shipped Confidential commerce protocol for messaging platforms, built with Zama FHEVM and submitted to @OpenBuildxyz Looking forward to turning it to OS for FHECCP (Fully homomorphic encryption for confidential commerce protocol)
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À• Shòlá
À• Shòlá@0xDfinity·
@NewbieNotNoob_ Lmao 🤣🤣 See person wey dey make rules that affect your life Person wey dey make you reap weting una no sow for the country 😂
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À• Shòlá
À• Shòlá@0xDfinity·
@arc Still so much room for improvement in the token design
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Arc
Arc@arc·
Introducing the ARC whitepaper. The paper outlines how ARC could serve as the native coordination asset of the Arc network, supporting security, economic governance, fee mechanics, and broader platform utility as Arc evolves. The core idea: stablecoins move value. Arc provides the execution environment. ARC could help coordinate the participants who depend on the network. Read the whitepaper: arc.network/arc-token-whit…
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Eden
Eden@edenbdn·
AI agents only become real economic actors when their execution is verifiable and their data stays private That's how you risk score an agent without exposing its strategy and exactly what @bondoncredit is shipping on the iExec stack 👀
Nathan Vandy@vandynathan

AI is fundamentally reshaping our market structure. Through the credit lens, software valuations are being repriced by AI's growth, while private credit itself is still trapped in hidden spreadsheets. We're seeing regulators become increasingly focused on opaque asset valuations + multi-leveraged collateral use. At the same time, capital markets are moving onchain. It's creating a whole new underwriting surface: observable, programmable, privacy-preserving financial data. Our thesis at @bondoncredit is fairly simple: as markets move onchain, the next participants will be institutional allocators and autonomous agents. Agents will add an entire new value layer as they sit on top of passive vaults: optimising yield, mitigate risk, and becoming underwritable counterparties. We've already seen how resilient during the last months of hacks, as they protected the principal capital we extended during our pilot. This data is powering our Agentic Credit Engine (powered by @iEx_ec and deployed on @arbitrum), where we’re building verifiable, standardized risk scores for those agents. AI agents, credit, and the capital markets are becoming programmable. The shift from static to dynamic underwriting, monitoring + capital allocation is here.

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À• Shòlá
À• Shòlá@0xDfinity·
. @MultiversX AI agent infrastructure is a turn on ... It feels so native to the chain Need to flex my rust
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À• Shòlá
À• Shòlá@0xDfinity·
@xiao18kuma @zama Absolutely, emphasis on "repeatable procedures" that's how you reduce errors, hallucinations and token wasting while building the real thing
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kuma 18
kuma 18@xiao18kuma·
@0xDfinity @zama Skills make more sense than one-off prompts here. For infra work, repeatable procedures matter more than a flashy agent demo.
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À• Shòlá
À• Shòlá@0xDfinity·
I just build AI-native skill system for FHEVM confidential dApp development using @zama for coding agents such as Claude Code, Cursor, Windsurf, Cline, Copilot-style agents, Codex, and custom AI developer tools If you're building an infrastructure in web3, skills and MCPs is must for onboarding and distribution of your stack The skill gives an AI agent: - A strict FHEVM reasoning model -Operational rules for encrypted state, ACL, input proofs, and decryption - Working contract, test, deploy, and frontend patterns - Anti-pattern detection before code is emitted - Decision frameworks for choosing public decryption, user decryption, transient permissions, ERC-7984, and frontend flows - Prompt recipes that map vague product requests to correct confidential architectures
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