Miya 1

AI Doesn't Have to Cost $500B 🔥 $ICP spent years proving applications can run on decentralized compute entirely independent of cloud providers. $0G is applying that same premise specifically to AI inference, and the cost delta is starting to matter. The hyperscaler AI infrastructure build-out is tracking toward $500 billion in combined CAPEX this year. That buys compute, power, and data centers, but it doesn't buy verification. The outputs from centralized AI systems are opaque by design. For general applications, that's a manageable tradeoff. For AI agents managing capital, making continuous decisions, or handling sensitive data, unverifiable inference becomes a structural risk at scale. 0G is building the alternative directly. Every inference on 0G runs inside hardware-sealed TEE enclaves powered by Intel TDX and NVIDIA H100/H200. Outputs are cryptographically attestable at the hardware level. And 0G claims the cost of running inference on its network comes in at roughly 95% below centralized providers on comparable models. The Aristotle Mainnet has been live since September 2025. The 0G App launched in April with sealed inference already operational. Earlier this week, 0G founder Michael Heinrich spoke on the NYSE floor about where AI infrastructure spending is going. His argument was straightforward. Centralized AI is the most expensive way humanity has ever built intelligence, and the cost flows directly to the power grid. What I keep coming back to is the cost structure. At 95% lower inference costs, AI agents that optimize for execution costs will naturally route toward cheaper verifiable layers. 300+ ecosystem partners are already building on this stack, and the pipeline is targeting $100M in annualized revenue. That's why the decentralized AI infrastructure thesis still feels early to me. #Altcoin Season# #0G

First Web3 Gaming Company On Nasdaq 🏛 The distribution that $TON has built inside Telegram is the most efficient user onboarding layer the gaming sector has seen this cycle, because users need nothing beyond the app already on their phone. $PENGU Clash going viral on Telegram showed how fast recognizable IP reaches retail when friction is removed from the entry point. Both cases point to the same structural insight. Telegram solves distribution, but it doesn't automatically solve session retention or a revenue model that holds without token incentives. Most Web3 gaming tokens have been priced on whitepapers and community speculation. Getting to Nasdaq as a Web3 gaming company requires a fundamentally different standard. The listing process requires verified revenue and institutional-grade governance, and GAMEE went through it as a Web3 gaming company. AlphaTON, a Nasdaq-listed digital assets company, acquired a 60% controlling interest in GAMEE as part of that process. That level of institutional validation is something most gaming tokens have never faced. The platform behind that listing reflects a decade of verified operation: ✅ 119M+ registered users ✅ 10B+ total gameplays ✅ 6M+ connected wallets ✅ $1.2M+ in rewards distributed I'm watching GAMEE because gaming companies don't reach Nasdaq by accident. The business underneath that user base has already been audited at the level that public market allocators require, and that is a different risk profile than anything else in the gaming sector right now. #Web3Gaming #Altcoin Season#

Every Cycle Has A Core Narrative 🤖 This cycle belongs to AI, and I've been watching both $TAO and $AGIX build toward this shift for years. What I've been paying closer attention to is where the institutional capital is actually flowing. Most of the money entering AI tokens is chasing the application layer, projects with compelling narratives and some developer activity but limited enterprise revenue. The infrastructure layer, actual compute and storage, has been comparatively undervalued because it takes longer to show up in price action. That's historically where the most durable value in any tech cycle accumulates. Enterprise contracts, recurring revenue, and institutional validation all eventually flow to the compute layer as AI narratives mature into infrastructure. Targon is a DePIN compute subnet on Bittensor Subnet 4 that is attracting exactly that kind of serious attention. OSS Capital led a $10.5M Series A, joined by Digital Currency Group, Shopify CEO Tobias Lütke, and Google board member Ram Shriram. The founders built Bittensor itself. Robert Myers is a founding contributor and one of the largest TAO holders, and James Woodman was COO of the Bittensor Foundation. The live infrastructure reflects that foundation: • 1,500+ NVIDIA H200 GPUs running at 99% uptime • Roughly $100K per month in revenue from paying enterprise customers • 8.6 million users migrated via Dippy AI under a six-figure commercial contract In March 2026, Intel engineers co-authored a technical whitepaper validating Targon's architecture. Their engineering team reviewed the approach and put their name on it. When I think about where AI infrastructure capital flows over the next twelve months, the projects with real revenue, institutional backing, and technical validation are the ones worth watching closely. #AI #Altcoin Season#

You are bullish enough on RWAs 👀 $ONDO has shown what institutional-grade tokenization looks like when real infrastructure backs it up, and $PLUME is focusing on the same direction. Why? BlackRock's CEO called tokenization "where the internet was in 1996." McKinsey sees a $2T tokenized asset market by 2030, and Standard Chartered puts the full market at $30T+ by 2034. But I keep coming back to the same gap. Real estate is the largest asset class on earth, and it's also the most data-dependent sector that exists. Every deal, every loan, every tokenized fraction of a property traces back to one question: what is it worth? And right now, nobody onchain can answer that reliably; without that answer, the $30T projection stays theoretical. RESI is building the oracle layer for real estate on Bittensor, starting with the US housing market. I'm building my thesis around this: the data problem has to get solved before scale happens, and the project that becomes the standard source of truth for real estate valuation onchain is going to be well-positioned when those $2T to $30T projections start landing. RESI is way ahead of others in that regard 📈 #Macro Insights#

Let me break down why Vanta's token economics actually make sense 🧠 Every time a trader buys an evaluation through Vanta Trading or Hyperscaled, that purchase creates real economic throughput on Subnet 8. More activity on the subnet drives Alpha emissions. More emissions drive demand for $VANTA . It's not speculation dressed up as utility. The demand is structurally linked to platform usage. $SUI ecosystem is full of builders who care about this kind of design. Token with actual on-chain mechanics behind it hits different when you understand the loop. #Altcoin Season#

Crypto has a product design problem 🔥 I've been using crypto products since the early days and the UX problem has been one of the most consistent complaints in the space. $JUP is one of the few that got it right, building a DEX aggregator on Solana that genuinely feels good to use. $AAVE took the same approach with lending, clean interface, clear information, no unnecessary friction. Both proved something important. It's possible to build crypto products that feel like they were designed for real users rather than power users. Most crypto/online casinos didn't learn from this. The interfaces are cluttered and the product feels like it was built to technically exist rather than from our fun crypto culture. YEET was built differently! The UI reflects a team that thought about what players actually want from a crypto casino experience. The navigation is super fun, and everything is accessible without the usual friction of figuring out where things live. YEET truly carries that crypto/Web3 spirit in its UI 🔥 #Macro Insights#

$TAO sits at the convergence of AI speculation and TradFi liquidity 👀 NVIDIA is heavily invested because they understand what the future of technology looks like; the rest of the world is yet to catch up. TAO sits at the bottom of the pyramid, and everything is built on top of it. These are the 128 subnets currently focused on various areas. All of these play a vital role in how AI will continue to intersect and operate with logistics on a global scale. Taodotcom is a wallet purpose-built for onramping to TAO. Users can buy TAO with Apple Pay and credit cards, then natively stake, secure and hold in a non-custodial wallet. This makes all the difference in the world of #AI and helps democratize and educate users on the role decentralized AI infrastructure will play in the next decade and beyond. The infrastructure layer is the most important and TAO is as synonymous with it as $BTC is to crypto. Bitcoin = Crypto TAO = AI #Altcoin Season#

Crypto Has Barely Touched A $150B Industry 👀 That’s about to change. We’ve seen infra plays like $LINK unlock data, and ecosystems like $AVAX scale activity, but sports betting? Still largely untapped. That’s why this GCOIN update appealed to me. We’re not talking hypotheticals anymore. We’re talking: ⚽Live football 🎾Tennis 🏀Basketball 🎮Esports tournaments 🎰In-play betting All being plugged directly into one on-chain system. And if you understand how big sports betting is globally, you understand how big this could get. GCOIN is plugging into constant, real-world demand. People already bet. Already watch. Already engage daily. Now it’s on-chain. Powered by GCOIN. This ecosystem is one to watch in 2026 👀 #Altcoin Season#