Flare priceFLR

The Flare x Google Cloud Hackathon, held from March 7-9 in collaboration with Blockchain at Berkeley, brought together students and researchers to explore how blockchain can support AI-powered applications while maintaining security and trust. Participants from UC Berkeley, the University of Waterloo, and ETH Zurich worked on projects using Google Cloud’s Confidential Space to run AI computations in a verifiable way. Confidential Space is a secure computing environment that prevents outside interference while generating cryptographic attestations. These attestations confirm that an AI computation was executed correctly, and they can be verified on the Flare ( FLR ) blockchain, according to a note shared with crypto.news. This setup allows AI models to process data without exposing it to third parties while ensuring the results remain trustworthy. The hackathon attracted more than 460 participants competing across four tracks. Projects ranged from AI-driven financial applications to consensus learning solutions. All projects used Confidential Space instances running on AMD’s Secure Encrypted Virtualization platform, which protects computations from tampering. One of the top projects was 2DeFi, created by two University of Waterloo students. It won first place in the AI x DeFi track and second place in the RAG Knowledge track. The project helps traditional finance users enter decentralized finance on Flare. 2DeFi allows users to upload screenshots of their Robinhood portfolios, which Google’s Gemini AI then analyzes to assess risk tolerance. The AI-generated profile is used to suggest a DeFi strategy, such as staking or liquidity provision. To simplify onboarding, 2DeFi integrates Google login-based wallets, allowing users to interact with Flare without managing private keys. The hackathon also marked the launch of the Flare AI Kit, an open-source SDK for building AI-powered blockchain applications. The SDK allows developers to integrate AI models with Flare while ensuring verifiability and security. Flare AI Kit will continue to evolve, with plans to bring it to the Google Cloud Marketplace as a production-ready solution. The initiative aims to make AI computations on blockchain more transparent and secure for developers and enterprises.

TODAY'S PRIME FOCUS: The future targets for⬇️ 🔮 $FLR | Flare [@FlareNetworks] For information only—Not investment advice. DYOR❗️ Find out the predicted price target for $FLR in 2025 according to our analysts 👇

Flare integrates Polyhedra’s zkBridge for enhanced cross-chain security Polyhedra Network has integrated its cross-chain interoperability protocol zkBridge with Flare. According to an announcement on Aug. 27, the integration of Polyhedra will help developers on Flare (FLR), the blockchain for data platform, tap into cross-chain security with zero-knowledge proofs. The integration follows the Polyhedra Network community’s approval of a proposal that sought to bring zkBridge, one of LayerZero (ZRO)’s decentralized verifier networks, to Flare. With the arrival of zkBridge DVN on Flare, developers can now leverage ZK proofs technology to build and deploy efficient cross-chain applications. Key to the interoperability is zkBridge’s use of zero-knowledge technology zkSNARKs for multi-chain relay and verification of block headers and for consensus. A system that offers a 2-layer recursive proof ...

Oracles continue to be quite interesting and under-discussed. Here are the top ones: + Lowest prices for apps/users - @ChronicleLabs (no ticker) + Most unique - @UMAprotocol ($UMA) + L1 & oracle - @FlareNetworks ($FLR) + Incumbent/most intensive - @chainlink ($LINK) 🧵

$FLR is confidently moving upward in trading. The way it confirms its 0.012$ support and moves forward with substantial volume suggests we'll reach our 0.027$ target much earlier than expected. There was a 470% gain recorded earlier.