.@Zama raised $118.5M in the first fully encrypted ICO on Ethereum, where every bid stayed private using Fully Homomorphic Encryption.Their fhEVM lets smart contracts compute on encrypted data without ever decrypting it, solving blockchain's biggest privacy paradox.cereal_killer (@FBitach):Public blockchains gave us radical transparency.But finance does not run on full transparency.Balances, positions, bids, strategy. Some data cannot be public.That tension has capped real adoption.@zama is tackling this he ...

zama fhe protocol trading 40% below ico despite 70% market share in fully homomorphic encryption. but this is the aws trap. infrastructure captures commodity margins. protocols integrating zama for encrypted settlement capture the value. polymarket needs privacy for ice integration. morpho needs it for rwa lending. the trade is the applications not the rails ...

RT James Hunt (@humanjets)ICYMI: Here's a quick news recap from today's Asia & EMEA sessions @TheBlock__ 👇🔮 Solana-based DEX aggregator Jupiter announced that it is integrating Polymarket, bringing the decentralized prediction markets platform to Solana.🇯🇵 Japan's Nomura Holdings is scaling back its cryptocurrency positions following losses in its digital asset business during the third quarter of its fiscal year.🗄️ Blockstream CEO and co-founder Adam Back addressed newly surfaced documents from the Jeffrey ...

$ZAMA is now live on Kraken 🔐$ZAMA powers @zama, bringing compliant confidentiality to onchain finance through Fully Homomorphic Encryption.Build confidential applications on any blockchain → https://t.co/gUzyIFGXoaGeographic restrictions may apply https://t.co/0LOvV7Awt4 ...

Coming soon to Kraken 🔐$ZAMA powers @zama, the protocol enabling confidential smart contracts on any L1 or L2 using Fully Homomorphic Encryption.Trading starts Feb 2 at 13:00 UTCGet ready → https://t.co/gUzyIFGXoa https://t.co/0KXVSTZvbb ...

🆕 $ZAMA Added to Kraken's Roadmap!Blockchain transparency is a bug, not a feature. @zama brings compliant confidentiality to onchain finance through Fully Homomorphic Encryption.👀 Explore the full roadmap ⏬ https://t.co/mpsBpT3T1J*Geographic restrictions may apply https://t.co/aoP7YdxKSZ ...

Blockchain Privacy & Technology - Zama utilizes Fully Homomorphic Encryption (FHE) to enable on-chain confidentiality while maintaining scalability and composability [1] - FHE adds an encryption layer to blockchains like Ethereum and Solana, facilitating private stablecoins, trading, payments, and DeFi [1] - The solution doesn't require changes to user experience (UX) or the use of bridges [1] - Zama highlights major performance breakthroughs in FHE [1] Applications & Use Cases - FHE enables compliance-friendly private computation [1] - Encrypted auctions and confidential AI are potential applications [1] Project Status - Zama is preparing for its mainnet launch [1]

Technology & Innovation - Mind Network is building HTTPZ, a "Zero Trust Protocol" for the next-gen internet [1] - HTTPZ ensures end-to-end data encryption during transit, storage, and computation using Fully Homomorphic Encryption (FHE) [1] - FHE enables Agentic AI security and on-chain data privacy for Real World Assets (RWA) [1] Partnerships & Rewards - Mind Network is a member of Chainlink Build [1] - Chainlink Rewards Season 1 is live, with eligible LINK token stakers able to check their "Cubes" [1] - Cubes can be allocated to Mind Network's FHE infrastructure [2]

Privacy Technologies Comparison - MPC (Multi-Party Computation), tFHE (threshold Fully Homomorphic Encryption), and TEEs (Trusted Execution Environments) enable private applications beyond ZK (Zero-Knowledge proofs) capabilities [1] - The privacy strength of MPC, tFHE, and TEEs is weaker compared to pure ZK solutions [1] - For use-cases like payments, transfers, and voting, pure ZK is recommended if feasible [1]

Efficiency Metrics in Cryptography - The industry suggests reporting cryptographic overhead as a ratio of in-cryptography computation time versus raw computation time [1] - This ratio provides a hardware-independent measure of efficiency loss when using cryptographic applications instead of trust-dependent ones [1] - Overhead factor aids developers in estimating cryptographic computation time based on their existing knowledge of raw computation time [1] Challenges in Overhead Measurement - Measuring overhead is complex due to heterogeneous operations in execution and proving, especially with SIMD/parallelization and memory access patterns [2] - Despite imperfections, the industry believes overhead factor remains a valuable metric [2]