Rodrigo Farinha

A landmark moment for digital asset regulation. The CLARITY Act has cleared the Senate Banking Committee, moving the U.S. closer to a clear framework for digital assets. Real-world tokenization and AI-driven economies require a foundation of legal certainty to reach global scale. With this bill heading to the full Senate, that foundation is finally being built. 🇺🇸

Anthropic just quietly dropped a nuke on Wall Street workflows. 🤯 They open-sourced a massive Agentic AI toolkit for the financial industry. If you build AI agents or work in finance, drop everything and look at this repo. The anthropics/financial-services repo provides out-of-the-box Claude Agents, specialized skills, and MCP data connectors (S&P Global, FactSet, PitchBook) designed for high-stakes workflows. Why is this a big deal? It fundamentally shifts AI from "glorified chat" to actual Agentic automation. Instead of just answering questions, these agents execute complex, multi-step tasks, e.g., 1️⃣ The "Pitch Agent" - Instead of an analyst grinding for 10 hours overnight, this agent pulls live financial data, runs an LBO or DCF model, and auto-generates a branded PPT pitch deck in minutes. It turns data gathering and formatting into a one-click operation. 2️⃣ The "Earnings Reviewer" - Imagine a stock just reported earnings. The agent instantly ingests the live call transcript, compares it against historical Morningstar estimates, automatically updates your Excel model with new EPS guidance, and drafts a morning research note before the market even opens. 3️⃣ The "Deal Screener" - Reviewing endless inbound pitch decks and teasers is exhausting. This agent can automatically parse incoming Confidential Information Memorandums (CIMs), run a quick pass/fail assessment based on your specific investment thesis, and even draft the initial IC memo. Link in the first reply 🧵👇

IoTeX leads Layer-1 blockchains in finality time 🏁🏁🏁 $IOTX

Still farming without GEODNET? 2-cm RTK precision isn't a luxury — it's the difference between a costly mistake and a profitable season. Less rework. Less waste. More yield.

Happening TODAY at #Consensus2026! ☀️ Our cofounder @cbetass took the stage with @Austin_Federa (@doublezero) and @mikeahorton (@GEODNET ), moderated by @anna_brth (@DCGco) — unpacking the future of decentralized compute and real-world AI. "IoTeX is building the foundational world model for physical space, empowering AI builders to tap into real-world intelligence." — Jing Sun The next wave of AI will be trained on reality — at the edge. 🌐🦾

The IoTeX team is heading to @consensus2026 Miami!🌴 Our Co-Founder Jing @cbetass joins @Austin_Federa & @mikeahorton to hype-check the reality of decentralized infrastructure. Moderated by @anna_brth of @DCGco. 📉 AI compute demand: Bullish or bearish for Decentralized AI? 📈 Date: Wednesday, May 6, 1:50 PM EDT Location: MBCC, Convergence Stage Join us to see how we’re empowering developers to build verifiable, real-world AI agents. 🚀🚀

🔐 @iotex_io is now more decentralized than ever Yesterday IoTeX reached a Nakamoto Coefficient of 10, setting a new all-time record Real-world AI, backed by true decentralization 📊 chainspect.app/chain/iotex?ra…

@mikefutia Meta

I just vibe coded a Meta Ads creative analytics tool in Claude Code 🤯 It plugs into your ad accounts, AI-analyzes every creative you've ever run, and tells you exactly what's working, what isn't, and WHY. Built 100% in Claude Code. Perfect for DTC brands and creative agencies who are sick of staring at Ads Manager trying to reverse-engineer why one ad scaled and another tanked. If you're pulling weekly reports that show you spend, ROAS, CTR, and hook rate but never tell you WHY any of it is happening — and you're stuck watching videos one by one, guessing at angles, and making kill/scale calls on gut feel... This tool runs the entire loop for you: → Connect your Meta ad accounts in one click → AI watches every video and analyzes every static → Auto-labels each ad by asset type, messaging angle, hook tactic, and funnel stage → Win rate analysis broken down by every category → Kill/scale recommendations segmented by TOF, MOF, and BOF → AI-generated iteration recommendations for every underperformer No manual video watching. No guessing at what's working. No spreadsheets to track creative performance. What you get: - A full creative analytics dashboard pulling live from your accounts - AI classification on every ad you've ever run - Iteration priorities ranked by ads with real spend behind them - Weekly reports surfacing top and bottom performers with AI insights Built 100% in Claude Code as a real tool, not a one-off script. I recorded a full walkthrough showing exactly how this works and what every feature does, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

a16z recently released a breakdown of the Physical AI tech stack. Physical AI isn't just robots. It's a full-stack infrastructure problem. According to the 5 core primitives defined by @a16z: 🧠 World representations (VLA/WAM models) ⚡ Embodied action architectures 🏗️ Simulation & synthetic data 👁️ Multi-modal sensing 🔄 Closed-loop agentic systems But every layer depends on one thing first: real-world data. That's where IoTeX comes in — decentralized visual data collection + on-device visual AI, feeding the foundation that Physical AI is built on.

The $IOTX chain is now readable by AI 🤖 iotexscan.io v4 is now live — a greenfield rebuild designed from day one to be crawled, understood, and cited by AI agents. What's new: ⚡️ Noticeably faster across the board 🔍 SEO + GEO optimized for Google and AI search 🧠 JSON-LD, /llms.txt & JSON APIs — ChatGPT, Perplexity & Claude can cite it directly 🛠️ Modern stack: Bun, Next.js 16, Drizzle, Tailwind Faster, SEO-tuned, agent-native. Explore 👉 iotexscan.io

@0xSn0wMan @GEODNET @helium I agree 100% one of the most interesting projects I ever see and with real need in the world! But people are still not aware of this type of projects, but time will reveal this!

It’s time to talk about @GEODNET again. In the past I called it a gem. Now? It’s still a gem, but honestly, it’s been fading a bit with time. And that’s exactly why I’m speaking up again. In my opinion, this is the best DePIN project. Yes, even bigger than @helium(I was there when HNT was on fire, printing dollars day after day). Those were glorious times. But GeoDNet is different. A while back, @vaneck_us and some other VCs put out an article predicting $GEOD token could hit $8 in a few years. At the time, it sounded bold. Now? I’m starting to understand why. Let me break down the numbers, because the math is beautiful. Today: ~22,000 active miners Each producing ~12 $GEOD per day That’s 264,000 GEOD daily → around $35k sell pressure per day Normally, that kind of sell pressure would crush a token. So how does project survive? Data sales 🤑🤑 This year alone: $10 million in data revenue. 80% of that ($8 MLN) went directly into buybacks and burns. Now do the math: $35k daily sell pressure × 365 days = ~$13 million in yearly sell pressure Buyback/burn this year = $8 million Shortfall = ~$3 million And guess what? The token went from $0.20–0.25 down to ~$0.13. The numbers match perfectly. But here’s where it gets exciting. The halving is coming. Sell pressure gets cut in half → from $13M to ~$6.5M per year. Meanwhile, buybacks stay at $8/10M+ if data sales continue. That leaves $2/4M in excess buy pressure every year. That’s not balance. That’s imbalance, in the right direction. So yeah, I expect a reversal. A pretty fast move back above $0.20. And if data keeps selling well? Parabolic over time. This isn't a meme coin. This is fundamentals. This is revenue-backed crypto. Also, I know the team personally. @mikeahorton & @mvrender … these aren’t just “high level” guys. They’re top tier. I’ve worked with them. Seen how they think, how they execute. I’m currently mining with 3 of my own miners + managing another 40 hosts. If you’re not mining yet… maybe it’s time to start. GEODNET is waking up. Don’t sleep on it. #DEPIN #SOLANA

🎉 @iotex_io turns 7 years old Since April 22, 2019, IoTeX has processed nearly 500M transactions, powering real-world AI with real usage to back it 📊 Proud to track IoTeX on Chainspect → chainspect.app/chain/iotex

Our thesis: the next breakthrough in physical AI won't come from bigger LLMs.🧠 It will come from giving machines the ability to see and understand the real world. Do you agree? Where do you see the bottleneck? Something we've been working on is almost ready. 👀

A delivery drone comes in to land. It’s off by a meter, it drops and wrecks the car. Precision matters.

@Raullen Already testing

We built quicksilverpro.io as an experimental product to battle-test our inference optimization technology. Our goal: ensuring we are fully equipped to power massive, real-world AI applications at scale. Give it a try today!

The quantum threat is no longer a "future" problem. 🛡️ IoTeX is leading the defense with Cryptographic Agility—transitioning from 5+ years of research to real-world deployment. ✅2019–2024: 5 years of foundational PQC research 🔬 ✅2024: Won ICBC Best Paper Award for Ethereum migration 🏆 ✅Now: Spearheading EIP-7693 for industry-wide EVM safety ⛓️ ✅Today: SPP Wallet live on Testnet with functional PQC 📱 ✅June 2026: Presenting at ETSI/IQC global conference 🇨🇦 We aren't just building for the next market cycle—we're building for the next century. 🚀

Autonomous systems are becoming the operating layer of agriculture. Farms that feed billions are still running without real-time data, precision, or autonomy. That changes now, so we can meet rising demand and produce more, with less.

@a16z @balajis @iotex_io and @GEODNET

.@balajis says AI verification is much harder in the digital world than it is for the physical world: "AI for the physical world is very verifiable because the thing is, the digital world is fundamentally decentralized in a way the physical world isn't." "There's only one physical world. You can say: did the AI move this box from this pallet to that pallet? That is something where you can probably get it to 100% over time." "By contrast, in the digital world, there are all these people who live in their own constructed environments." "How do you know when you're done with your to-do list? That's harder. Those things are fuzzier."