cryptoreuMD.eth/3972.⌐◨-◨ 🦇🔊

GM #Fusaka @ethereum

An AI agent designs an experiment, funds it from its own wallet, gets the data back, and updates itself. No human approves each step. The infrastructure for this is being built right now. Do good science, earn inference.

🛡️ Web3 Browser Isolation & Anti-Phishing Framework 1. Domain Separation: Brave (Web3/Wallets) vs. Chrome (Messaging/SaaS) vs. Firefox (Daily Browsing). 2. Incognito Isolation: Mandatory use of incognito mode for Telegram/WhatsApp Web to mitigate Cross-Domain Tracking attacks and preveent local/sessionStorage. 3. Social Engineering Defense: DYOR and double check-everything, you are not @LeoDiCaprio. youtube.com/watch?v=n6ZCF9…

@rene__hdz Jajajaja

@cryptoreumd Pero no somos crypto influencers, solo builders. LFG!

¿Y ahora qué hacen los influencers Cripto?

@chapsmx También Eric Hughes de todos los poser 😪

no solo satoshi, cualquier persona que cree en cripto está decepcionada de los maxis de bitcoin...

@cryptoreumd Todos hablan de IA :P

Hey @PanlarLeague me encantaría que le dieras un ojo a Rheumascore.xyz

Ethereum ya no es Ethereum

Si usted no tuvo oportunidad de ver el live de ayer, TL;DV: - @synthesis_md es un hack organizado por @ethereum Foundation ft. @bonfiresai buscando crecer la tecnología agéntica × crypto. - Hay muchos partners con mucho dinero en premios por usar su tecnología en su proyecto, gran oportunidad! - @fruteroclub está dando agentes para que usted pueda participar con el objetivo de demostrar el talento builder en LATAM! Además hicimos una herramienta de inteligencia para que su IA de confianza tenga todo el contexto del hack! - Tenemos evento mañana en Ciudad de México junto con @OctantApp para sentarnos a construir proyectos en comunidad con apoyo de mentores y comida rica 🔥 Let's fruta BUILD!

@FugaAbraham @RosaGlez_eth Si es

Eres un crack !! @RosaGlez_eth 🔥🔥

🛡️ NEW on clawRxiv #66 ShieldPay: Fully Shielded Agent-to-Agent Payments via zk-SNARKs What if NO ONE could see which AI agent pays which — not even on-chain? 🔐 Groth16 zk-SNARK proofs hide sender, receiver, amount & timing 🏥 Hospitals using clinical AI? Competitors can't see your spend ⚕️ Payment timing can't correlate with patient visits (HIPAA safe) 💊 Double encryption: FHE patient data + shielded payments Cost: $0.01 per proof on Base L2 Stack: Poseidon hash + MPP + @Superfluid Privacy isn't optional in medicine. It's the law. Built by @CryptoReuMD × DNAI 🧬 #DeSci #zkSNARKs #Privacy #Web3 #ClinicalAI #Claw4S

🔬 NEW on clawRxiv (Claw4S Conference) SuperStream-MPP: Real-Time Money Streaming for Agent Knowledge Markets AI agents paying each other per-second for clinical knowledge via @Superfluid streams 🧬 Superfluid × MPP = continuous micropayments 💊 DNAI ↔ RheumaAI ↔ LESAI streaming $0.001/sec for clinical data ⛓️ 1 Superfluid tx = unlimited requests 🔒 FHE encryption maintained across payment layer DeSci agents that self-fund their own improvement. Built by @CryptoReuMD × DNAI 🧬 #DeSci #Superfluid #MPP #ClinicalAI #Web3

🚨BREAKING: The S&P 500 is officially going 24/7. S&P Dow Jones Indices licensed the index to Trade[xyz] for Hyperliquid perpetual futures contracts. The benchmark now trades 24/7 on-chain, with NO market closures for first time in the index's 69-year history.

@CoinbaseDev I don’t want to be live jajaja, can I say my AI that make a video about it?

Reminder: Submit your x402 enabled project by 10am PT tomorrow. Quote tweet the thread below with: → A video demo → An explanation of your project Keep your DMs open so we can contact you. Can't wait to see what you've built! 🚀

We’re starting to see the first agent swarms doing scientific research, but how do they decide what’s true? Early experiments like @moltbook gave us an interesting data point. Millions of agents interacting with each other, posting ideas, debating, and upvoting content. But the ranking signal is purely social - agents amplify posts that other agents liked. The result looks a lot like human social media: ideas spread based on attention and agreement, not evidence. Our new paper explores a different design principle: using computation as the signal that advances research. Read the @arxiv paper: arxiv.org/abs/2602.19810 The core mechanism is straightforward. When an agent proposes a scientific claim, the system expects computationally verifiable evidence before the work can move forward. This idea sits at the center of ClawdLab, an open-source platform where autonomous AI agents organize into role-based biotech labs. Each lab functions like a small research group where agents propose hypotheses, search literature, run computational analyses, critique each other’s work, and synthesize results into shared knowledge. Typical labs include individual agents acting as: • Scout (literature discovery) • Research analyst (analysis and modeling) • Critic (adversarial review) • Synthesizer (integration of results) • Principal investigator (governance and verification) This creates something closer to a real research workflow: A hypothesis gets proposed, analysts run computational work, critics attack the methodology, evidence is reviewed. And only then does the lab vote on whether the work stands. But even voting doesn’t determine truth. The vote only confirms that the work meets the computational evidence requirements defined for that lab. If AI agents are going to design better experiments at scale, we need mechanisms that separate interesting ideas from verified results. Social signals aren’t enough. Computation can be. Our paper explores the architecture behind this idea - including ClawdLab and the complementary open research commons @sciencebeach__ If you're interested in autonomous scientific systems and agent collaboration, check it out.

Ethereum’s execution layer has Geth, Nethermind, Besu, Erigon, etc The consensus layer has Prysm, Lighthouse, Teku, Lodestar, Nimbus, etc The DV middleware layer has had exactly one client. Until now. 🧵

Nada es imposible gracias a @godinez_ai @troopdegen @fruteroclub @tempo @stripe @Superfluid_HQ

@CamiRusso Already notified these, Cami already discovered that can be use in any chain

@CamiRusso MPP it’s chain agnostic

Two protocols are racing to become the internet's payments layer: x402 backed by Coinbase Machine Payments Protocol (MPP) launched today by Stripe and Tempo. How are they different? Short answer: x402 is more permissionless. MPP is more payments-optimized. Long answer: Assets - MPP accepts stablecoins on Tempo, plus fiat - x402 accepts all ERC20s, but no fiat. Scale - MPP's sessions primitive lets agents authenticate once, set a spending limit, and settle later, batching payments across many interactions. Better for agent scale. - x402 is still largely per-request, although it’s moving toward prepaid flows Settlement - MPP requires Tempo and Stripe. - x402 permissionless, chain agnostic What's better? imo, if MPP settled on any chain, it would be a clear winner. But it doesn't. And that's a huge drawback esp since it's unclear how decentralized and permissionless Tempo actually is.