💡🎤 How AI for Networks empowers network evolution and how Networks for AI underpins AI business development 🎯 ? Our Chief International Ecosystem Representative, Zhiping Chen (Summer), delivered an insightful talk at @@M360series LATAM 2026. 👇 #ZTE# #M360LATAM# #M360# #AI# #Networks# #Connectivity# #Innovation# #DigitalTransformation# #LATAM#

As #networks#, apps, and integration tech advance, the #5G# ecosystem keeps evolving. How do we turn this digital #ecosystem# into value? #ZTE# will share actionable insights at #M360# #EURASIA# 2026 🚀. 📍 Hilton Samarkand Regency, Uzbekistan 📅 MAY 20 - 21, 2026 #M360Eurasia# #AI# #Networks# #Connectivity# #Innovation# #DigitalTransformation# @M360series

At AI scale, raw bandwidth breaks down. What matters is resilience, recovery, and consistency under load. AMD in collaboration with Microsoft and @OpenAI defines a proven solution approach to AI networking with MRC. Learn more now:

Crypto remains one of the most egalitarian movements in modern finance. What’s happening today in private AI markets is something crypto figured out years ago: you need some form of liquidity and broad market participation before reaching Billion dollar valuations, let alone Trillion. Technology alone is not enough. What differentiated @ethereum and @solana from countless other L1s wasn’t just technical innovation, it was the economic alignment with their users, developers, and communities. I think the same thing eventually happens with AI. Retail users will stop being just consumers of AI products and will increasingly demand ownership, participation, and upside. The most valuable AI networks may not be the ones with the best models alone, but the ones that align economically with the people providing the data, distribution, compute, feedback, and applications. People don’t just want to use the future. They want exposure to it.

#ZTE# is proud to support this influential platform 🚀, where leaders are scaling solutions with real #economic# and social impact. Under "Creating an Intelligent Future," we'll deliver a keynote on #AI–network# mutual empowerment 🤝. See you at #M360# #LATAM# 2026, Hyatt Regency #Mexico# City, May 13–14, 2026. #M360LATAM# #Networks# #Connectivity# #Innovation# #DigitalTransformation#

HSBC Raises $NVDA PT to $325 from $295 - Buy; ER Preview Analyst comments: "At its upcoming 1QFY27 results announcement on May 20, we expect NVIDIA to report 1QFY27 revenue of USD81.1 billion, 4%/3% higher than management guidance and Visible Alpha consensus estimates of USD78.0 billion/USD78.6 billion. We also expect 2QFY27E revenue of USD91.1 billion versus consensus estimate of USD85.6 billion, implying another “beat and raise” quarter. We also raise our FY28E EPS by 27% to USD13.01, 16% above consensus of USD11.20, on higher FY28E data center revenue of USD528 billion versus consensus of USD465.3 billion, on the back of an upward revision to chip-on-wafer-on-substrate allocation from 900,000 to 1.1 million wafers. Over the past five years, all major NVIDIA stock price movements have been led by a combination of its evolving AI product roadmap — starting with significant ASP pricing power with first-generation AI GPUs, A100 and H100 — driving significant earnings upside along with consistent “beat and raise” financial results. However, since the buzz around sovereign AI and the opportunity from neoclouds, no new narrative has emerged, and NVIDIA shares have underperformed the SOX over the last six months despite having two GTC events and two sets of financial results that beat estimates and raised expectations. Hence, we believe AI GPU earnings momentum and its upcoming Vera Rubin and Rubin Ultra product roadmap have become less meaningful narratives for significant re-rating or share price upside potential. Despite the ever-increasing CAPEX trend by CSPs that shows no signs of abating, NVIDIA now has to share the CAPEX with memory makers, AI networking, and server CPU vendors. Hence, NVIDIA needs to show evidence of diversifying its non-CSP customer base to fuel its AI GPU momentum. New TAM opportunities via agentic AI server CPUs and its recent optics-related deals could also potentially be emerging narratives that could lead to more significant earnings revisions or re-rating." Analyst: Frank Lee

New to Here’s a quick walkthrough on how to use FinChip and explore AI Skills on-chain. From discovering skills to using them in the network, FinChip makes AI capabilities easier to access, acquire, and deploy. Watch the tutorial and start exploring the FinChip AI Skill Network.

Market inefficiencies get arbitraged away almost immediately. ⚡ Prediction market traders is the recent case, and the same pattern holds across digital domains: product layers and mechanism design are nearly impossible to turn into lasting moats.❌ Sustainable advantage in the AI era demands something heavier: industrial-scale barriers, serious capital intensity, and the actual complexity of delivery.🖥️ This is why a16z raised $15B while most flagship funds are still around $500M. AI competition has entered full heavy-industry mode — massive compute, storage, data pipelines, and vertical integration. 📦 The “brain power alone” era is collapsing. Capital is now flowing in toward operators with real technical depth and execution track records, not just ideas.💡 Beyond the big LLM labs, the companies that will matter are those that can actually deliver real-world infrastructure at scale. ALPHEA is built precisely for this shift. We’re creating the AI-native blockchain OS where agents don’t just use the network — they directly operate it via CLI. ✨ A unified compute + storage + networking stack designed from the ground up for agent orchestration, with no fragile middle layers.🔄 This is how you build defensible position when the game moves from clever mechanisms to industrial infrastructure.ALPHEA — AI runs the network. #AI# #AIAgents# #ALPHEA#

This Week in the Virtuals Ecosystem 🟩 VIRTUALS 🟩 $VIRTUAL spot trading is live on @HyperliquidX 🟩 $VIRTUAL is coming to @coinbase 🟩 Korea's first @base Agent Hackathon took place this week in Seoul with support from @daehan_base. Builders shipping with ACP and x402 all day. 🟩 Degenclaw AI trading competition pot upped to $200,000 a week. 🟩 Prediction markets prototype with unified liquidity is live at 🟩 Co-founder @everythingempty joined The Breakdown to discuss whether AI can actually trade crypto, Degen Claw results, and why specialization wins. ECOSYSTEM 🟩 @OpenGradient launches on Titan with our first deployment on @PancakeSwap as an avenue for liquidity bootstrapping. $OPG airdrop for Virtuals holders and buyers. 🟩 @reppo secured $20M in strategic capital from Bolts Capital to expand its prediction market-powered AI data network. $REPPO listed on Kraken. 🟩 @sibylcap integrated @AskVenice into their stack. Bulk extraction, classification and summarization now route to cost-efficient models while Claude handles judgment, voice and advisory. 🟩 @ArAIstotle dropped a simplified staking structure with lower entry points and same 5%+ APY. Truth Terminal access included or subscribe from $7.99/month. 🟩 @FlagshipFYI released a teaser for their SuperApp launching April 29. The app delivers real-time AI-generated trading signals across any token and any chain, with one-tap execution and live P&L tracking. Currently in private beta for $FYI holders. 🟩 @Vader_AI_ launched model infrastructure for Physical AI. It connects protocol-sourced physical data with robotics-specific training pipelines and evaluation environments so partners can train and validate embodied models at scale. 🟩 @useOttoAI upgraded "Suggest A Trade" big time. Now generates ideas across crypto perps, US stock perps (TSLA, NVDA, AAPL and more), and commodity perps (Gold, Oil, NatGas) on Hyperliquid, with news-reactive short-term plays and one-click execution. Agents keep shipping. See you next week.

$NOK — Nokia is rebuilding itself around the AI infrastructure cycle — across optical networking, AI silicon, and AI-RAN. Key highlights: — Q1 2026 net sales in optical networking grew 20% YoY. JPMorgan maintained an Overweight rating, pointing to AI and cloud order strength as a potential upside catalyst. — Launched four AI-workload-optimized DSPs at the March OFC conference, expected to lower customer TCO by up to 70%. — Partnering with Nvidia and other chip leaders on the AI-RAN alliance, bringing radio access networks onto AI accelerators. Three structural shifts, one company quietly repositioning. Trade $NOK and 900+ U.S. and Hong Kong equities with stablecoins on StableStock.