LfPHP Cloud - linuxforphp.com - Deploy your websites now! 🚀🚀🚀 - Flare Linux - flarelinux.xyz

Joined March 2017
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🚨🚨🚨 #Flare #Linux 1.2.0-1.13.0 is out! 🚀 🚨🚨🚨 ✅️ go-flare node, version 1.13.0 👉 It is recommended to upgrade your containers on all networks: #Flare, #Songbird, #Coston, and #Coston2! #FlareNetworks #FlareCommunity flarelinux.xyz
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And there’s still more coming: PMW, FCC on mainnet, FBTC, and a few other surprises the product team is cooking up.
What made me stay with FLARE 😏😎 The @FlareNetworks ecosystem keeps getting stronger. 🚀 From decentralized data infrastructure to yield opportunities for everyday users, Flare has quietly built one of the most innovative ecosystems in Web3. ✅ Native staking for FLR ✅ WFLR enabling DeFi participation and FTSO delegation ✅ FXRP enabling trust-minimized XRP interoperability ✅ stXRP unlocking utility and yield for XRP holders ✅ sFLR and other DeFi primitives expanding capital efficiency ✅ Flare Smart Accounts bringing account abstraction to the network, with integrations in Xaman and D’CENT Wallet ✅ The FTSO rewarding decentralized data providers while securing the network ✅ FAssets bringing non-smart contract assets like XRP into DeFi ✅ Flare Data Connector enabling secure cross-chain and off-chain data verification ✅ Flare Time Series Oracle delivering decentralized price feeds used across the ecosystem Just to name a few....... 🥶 The result? A growing network where average holders can do more than simply HODL, they can stake, delegate, participate in DeFi, and potentially earn yield while helping secure and expand the ecosystem. Flare isn’t just building another L1. It’s building the data layer that lets blockchains securely interact with each other and the real world. 🌍 💎 flare-networks:native ripple:native #Flare #FLR #XRP #DeFi ☀️🕶️
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Open-source software is freedom. Guess what we need more of if we want more freedom to create with AI.
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What is the Flare Data Connector? The FDC is how Flare gets external truth on-chain (other blockchains Web2), trustlessly. A typical FDC flow looks like this: 1. An app submits a request to FdcHub with the data type, parameters, and fee. 2. Data providers collect requests for the round and verify the response through verifier servers. 3. Providers then vote on which requests they were able to verify. 4. When enough provider weight agrees, the round is finalized and a Merkle root is posted onchain. 5. The app fetches the response and Merkle proof from the Data Availability Layer, then checks the proof against the onchain root before taking action.
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Happy Sunday to everyone, especially the builders who keep showing up and pushing our ecosystem forward ☀️
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Are you staking, delegating, or doing both? And what’s your actual criteria when choosing a provider? 🤔
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INSIGHT: @Ripple launches a developer toolkit for building agentic payment apps on the XRP Ledger, with support for autonomous AI transactions using $XRP and $RLUSD.
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How is XRPFi evolving through FXRP? You can track what’s happening across the ecosystem in this Dune dashboard: dune.com/flare/fxrp-defi
The total FXRP minted on #Flare is 155,935,639 which equates to $177,766,628 via FAssets by @FlareNetworks. 🤖 #FAssets #XRPFi #DeFi
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We’re making XRP programmable through FXRP. Our developer guides walk you through different FXRP-powered operations, including swaps, gasless interactions, and x402 payments. Learn more in our docs: dev.flare.network/fxrp/overv…
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Honestly, I think Flare Confidential Compute is a breakthrough. By combining TEEs with Flare’s protocol-level consensus, developers can build private, verifiable applications that extend across systems — DeFi, AI agents, RWAs, and more. On a security 🔒 note: If a TEE is compromised or produces the wrong result, the attestation/hash won’t match. That makes confidential compute practical for Web3, not just theoretical.
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This is a must-learn resource if you truly want to build with Flare Confidential Compute.
Check this starter template designed for building Flare Confidential Extension (FCE). ▶️ github.com/flare-foundation/… This developer-friendly Go template gives you all the boilerplate needed to deploy custom, verifiable business logic straight into a Trusted Execution Environment.
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As required by FIP.16, one of our validators has set its base fee at 20% today. This change will allow for a level playing field for all infrastructure providers in the #Flare ecosystem. We will do the same for our other validator shorty. #FlareNetworks #FlareCommunity
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Such an honor to be a part of this awesome community 💙, and to contribute to such a great project as #Flare, by helping to #ConnectEverything. 🔥 Thank you for the kind words, @0xQuantic! 🙏 ☀️ #FlareNetworks #FlareCommunity #Songbird
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I honestly think the Flare community is underrated. Look at the passion behind global communities like @flarejapangroup, @FlareAfrica_, @Flare_Colombia, @TurkiyeFlare, and many others. Look at the consistency of educators like @CommunityFlare, @KingKaranCrypto, @flareforward, @Anubis_Crypto_ and others who keep showing up to help people understand the ecosystem. Look at validators and infrastructure contributors like @PriceKraken, @hp_mana_nodes, @Catenalytica, @ftsocan, @Burstnodes, and @aucc_official, who keep delivering excellence through every market turmoil. There is real strength here and it deserves more recognition.
Underrated community?
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AI is not the only long-term threat blockchains need to think about. Quantum computing is another one. Years before this became a mainstream crypto topic, Flare Research was already looking at how the Ethereum Virtual Machine could migrate toward post-quantum security. In simple terms, today’s EVM transactions rely on elliptic-curve signatures to prove that the person moving funds is actually authorized to do so. The problem is that sufficiently powerful quantum computers could eventually break those signature schemes, creating a serious risk. A 2022 Flare Research paper proposed a practical hybrid approach: instead of replacing the existing ECDSA signature model overnight, introduce a new EVM transaction type that includes both the normal ECDSA signature and a post-quantum signature using deterministic CRYSTALS-Dilithium Level 2. In this scenario the network can verify the full post-quantum signature when the transaction is submitted, but only store a compact hash of the signatures after finality. That means stronger long-term security without permanently bloating blockchain storage.
As AI makes generic software and apps cheaper, value shifts toward infrastructure that can prove what data was used, what action was taken, what asset moved, and whether the result can be trusted. Flare is well positioned for this shift because its core stack is already built around verified external data, decentralized price feeds, programmable assets, and emerging verifiable compute through FCC/TEE. That makes @FlareNetworks less of a generic smart contract chain and more of a trust layer for autonomous finance, agent execution, and proof-based coordination.
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Flare has built a powerful cross-chain stack, but how are we simplifying things for users? Learn from @j00sko and the work with Flare Smart Accounts.
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Read this. Pay special attention to point 5. AI now makes it cheap and fast for anyone to discover serious hidden flaws in code, so attackers can find them just as easily as defenders. The fix is to raise the entire industry’s security standards much higher: use mathematical proofs for critical code, run AI checks on every detail so tiny mistakes cannot slip through, add hardware that users can actually verify themselves, and perform nonstop AI audits on every change. Security is now the most basic requirement.
👉For 4 years, 1 day, and 10 hours, anyone who understood the Orchard circuit could have minted ZEC out of thin air, silently, with no on-chain signature. The bug was disclosed this week. It was found by an AI-driven audit running Opus 4.8, not by an attacker. 1. Call the bug what it is Two lines in halo2's variable-base scalar multiplication gadget used assign_advice() where copy_advice() was required. As a result, the diversified-address integrity check pk_d = [ivk]·g_d could be satisfied for arbitrary inputs. A malicious prover could spend the same note multiple times with different nullifiers, i.e. counterfeit ZEC inside the Orchard pool, undetectable on-chain because the privacy of the ZK proof hides exactly the inputs that would reveal the attack. We do not know whether it was exploited. We will probably never know. 2. Four years. Multiple audits. Top-tier reviewers. Orchard was reviewed by some of the strongest cryptographers in the field before activation. They missed it. Earlier automated audits with Opus 4.7 missed it. Opus 4.8 catches it in roughly 1 in 4 runs when prompted generically. The bug is hard. And ZK inflation bugs are not new. Zcash itself shipped a counterfeiting vulnerability in Sprout (BCTV14) that survived years before being silently neutralized during Sapling. Similar soundness issues have appeared in circom, halo2, and rollup verifiers since. The pattern is consistent: when the protocol is private, exploitation is undetectable. You patch the bug and hope. 3. What Zcash did right This was a textbook decentralized incident response: ▶️Audit: a full AI-assisted soundness audit of halo2 Orchard, scoped end-to-end. ▶️Discover: the agent flagged the missing constraint and worked out the algebra to turn it into an exploit. A working RPC-level PoC in ~6 hours, mostly waiting on tokens. ▶️Coordinate: a soft fork disabling Orchard, prepared and distributed without leaking the bug, activated 2 days and 15 hours after acknowledgement. Coordinating a soft fork across miners, exchanges, and nodes without disclosing why is genuinely hard. They did it. ▶️Disclose: timeline, code lines, math, open questions. No spin. Worth naming explicitly: Zcash's turnstile invariant caps the value that can ever leave a shielded pool by the value that entered it. Privacy and verifiability inside the same protocol. That is not an accident. That is good engineering, and it is what kept the worst case bounded. 4. The economics of security just changed AI does not change whether bugs like this exist. It changes the cost of finding them. I wrote about this x.com/P3b7_/status/203643721…: a missing constraint in a 4-year-old production ZK circuit used to require a top-tier cryptographer with months of context. It now requires a few tokens, an API key, and a well-framed prompt. The defender benefits. The attacker benefits more, they only need to find it once, and they never disclose. Orchard is the optimistic version of this story: defense got there first. The pessimistic version is the one we cannot rule out, because the chain is private by design. 5. The only real exit You do not patch your way out of this asymmetry. You raise the floor. Formal verification of consensus-critical circuits, every assign_advice audited by SAT solvers and AI for under-constraint, as the reporter himself recommends. Proof-grade engineering that used to be too expensive is now cheap enough to be mandatory. Hardware roots of trust, secure enclaves, certified secure elements, WYSIWYS. Cryptographic guarantees the user can actually verify, not promises a host can lie about. Continuous AI-assisted audit of every consensus-critical commit, re-run immediately on the release of any new frontier model. Zcash didn't just patch a bug. They demonstrated the new defensive playbook: AI-driven audits, decentralized coordination, radical transparency, verifiable invariants. That is the direction the rest of the industry needs to follow. And those who don't raise the bar for security will be rekt in this new world. Stay safe. Stay honest about your trust assumptions.
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We are not in the main UNL list (yet), but confidence gets built step by step. Thanks @OCLostArt for the trust!
We've updated our UNL to include @FlareNetworks XRP Validator. We believe they bring the experience, expertise, and integrity needed to contribute to the ledger’s long-term health and performance. You can review our changes here:: 👇 github.com/oclostart/XRPL-Va…
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Happy to see ProofRails recognized with this opportunity! Crypto is building powerful payment rails, but payment infrastructure is not only about moving value. Institutions also need records, evidence, reconciliation, and reporting they can trust. That is the gap ProofRails is working to close. This is a great opportunity to collaborate with traditional financial institutions while showing how @FlareNetworks can support verifiable payment infrastructure.
We are pleased to share that ProofRails has been selected as one of the finalists for the Euro Banking Association’s EBAday 2026 Fintech Zone in Copenhagen. EBAday is one of Europe’s key payments and transaction banking events, bringing emerging fintech infrastructure in front of senior banking executives, judges, and payments industry leaders. For ProofRails, this is key, as we are building infrastructure that converts blockchain payments into structured, verifiable financial records compatible with standards like ISO 20022. Digital asset payments are entering real financial operations. The missing layer is not another payment rail, but the records, evidence, and reconciliation infrastructure that institutions can actually use. See you in Copenhagen on 16–17 June.
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It’s a great day to deploy on Flare ☀️
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14 years of the XRP Ledger proving the rails work. Fast. Battle-tested. Built for real value movement. The XRP Army built the rails. FXRP turns them into productive onchain financial infrastructure. Happy Birthday, XRPL.
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