Narik | BloFin

Just remember... 9 of pentacles, 9 of diamonds... Profit taking time... 77.9 78.2- T1 79.9 -80.1- T2 81.0-81.5-T3 Im all out by 8-10pm EDT the latest before weak energy comes in for a retest of support. NFA DYOR Stay in D'Know, #STAYGOATED 🐐💫 #BTC $BTC #FinancialAstrology #AstroTrading #GirlsWhoTrade #ATM$$$

@VECTORCP Where is your zone for scalp short ?

Thread 🧵: Why $PHA, $AR, $AKT are not just old projects… but future AI infra giants OG infra plays with REAL hardware networks the kind that can quietly do 10x–50x in the AI cycle👇👇 1/ Everyone is chasing the next shiny AI token… But few are paying attention to the projects that have quietly spent 5+ years building real infrastructure. → Phala Network → Akash Network → Arweave These aren’t narratives. These are foundations. 2/ AI is not just software. AI = • Compute (GPUs) • Storage (data) • Secure execution And guess what? These 3 OGs dominate each layer: •Akash → Compute marketplace (GPU power) •Arweave → Permanent data storage •Phala → Confidential AI execution That’s the full stack. 3/ Let’s start with @akashnet 👇 Akash is basically: 👉 “Airbnb for GPUs” •Anyone can rent or provide compute •Prices set via open marketplace (not corporations) •Up to ~80% cheaper vs AWS/Google Cloud It already supports AI workloads, LLMs, inference, training As AI demand explodes → GPU scarcity becomes real. Akash wins here. 4/ Now @onlyarweave 👇 AI runs on data. And data needs: → permanence → censorship resistance → reliability Arweave solves this with permanent storage (pay once, store forever) In a world of: • AI datasets • model weights • on-chain knowledge Storage = gold. 5/ Now the most underrated piece: @PhalaNetwork 👇 Phala is solving a massive problem: 👉 “How do you run AI without leaking data?” •Uses Trusted Execution Environments (TEE) •Enables private + verifiable AI computation •Even the cloud provider can’t see your data This is HUGE for: • enterprises • finance • personal AI agents 6/ Now connect the dots 🧠 AI stack (decentralized version): •Compute → Akash •Storage → Arweave •Execution/Privacy → Phala This is literally a Web3 alternative to AWS + OpenAI + Google Cloud combined But decentralized. 7/ Why these OGs have an edge over new projects: 1. Hardware network takes YEARS to build You can fork code. You can’t fake: • GPU supply networks • storage nodes • real infra distribution Akash already has live providers & GPU clusters Phala runs on TEE-enabled hardware globally These aren’t ideas — they’re deployed systems. 8/ 2. Battle-tested through multiple cycles Most new AI tokens = 👉 narrative first, product later These guys survived: • 2018 bear • 2022 collapse • low attention cycles And kept building. That’s rare. 9/ 3. Real economic activity •Akash → active compute marketplace •Phala → processing AI workloads + tokens daily •Arweave → storing actual data permanently Not just “partnership announcements” → actual usage. 10/ 4. Positioned for AI explosion AI growth = ↑ demand for GPUs ↑ demand for data storage ↑ demand for privacy Centralized infra will struggle with: • cost • monopolies • censorship Decentralized infra becomes inevitable. 11/ Most people are still thinking: “Which AI coin will pump?” Wrong question. Better question: 👉 “Who owns the rails AI will run on?” 12/ Final thought: The biggest winners won’t be the loudest projects… They’ll be the ones quietly building: • compute networks • storage layers • execution environments for YEARS. And when demand hits they’re already ready. $PHA $AKT $AR = not hype plays They are infrastructure bets NFA