Bittensor (TAO)

Welcome @LouiseBeattie 💫 If it wasn't for Bittensor's fan forums, Bitstarter wouldn't exist. That's where the most dedicated TAO holders meet, and where this idea was born. Louise is here to bring that community-driven energy to our teams - and to every future launch 🚀 https://t.co/GGRjq3Cgat

Rob Greer says the market is completely mispricing the future of Decentralized AI: “The market is not pricing in the possibility that decentralized AI is gonna play a big role. This is really just an information asymmetry play.” OpenAI and other corporate labs are likely to build subnets on top of Bittensor (TAO) in the coming years. If TAO becomes even a minor player in the global AI category, it’s a hundreds of billions of dollars market cap opportunity. Crypto moves differently than stocks. It takes much less money to move the needle here.

Oro just went live on Bittensor and the premise is simple. Build the best autonomous AI agent, compete daily against builders from anywhere in the world, and earn $TAO if you win. Validators handle the scoring. No middlemen involved. This is the competition model that closed labs cannot replicate. @opentensor @oroagents

Most altcoin portfolios are built on vibes. Here is how I actually rank the ones worth holding in 2026, and why most people have the order completely wrong: 1) $TAO — Decentralised intelligence layer. The only protocol where AI models compete, get ranked, and earn rewards without a central gatekeeper. Amazon just spent $33 billion on centralised AI infrastructure. TAO is building the open version of that same stack. 2) $RENDER — Decentralised GPU network. Every AI model that runs, every image that generates, every inference that fires needs compute. RENDER is the infrastructure layer that does not care who wins the AI model war. It gets paid either way. 3) $ONDO — Real world assets are moving on chain and institutions are not waiting for retail to catch up. The SEC no-action letter changed the game quietly. Most people still have not priced that in. 4) $FET — The agent economy needs coordination infrastructure. Autonomous AI executing tasks on your behalf is not a 2030 story. It is happening now, and FET

Growing xTAO liquidity on @Base allows millions of traders to access TAO. Now with more efficient, subnet-managed liquidity, traders can get seamless TAO exposure using the tools they already love. xTAO is more than just wrapped TAO - it actually accrues real staking yield. Watch closely.

Grayscale raised $TAO to 43% of their AI fund on April 7. The Covenant AI crash became public knowledge days later. That is not a coincidence. That is institutional due diligence operating on a completely different information timeline than retail. Here is what Grayscale saw before the rest of the market panicked: - 70% of TAO supply stayed staked through a 38% drawdown. - Community miners rebuilt subnets SN3, SN39, and SN81 from open source code with zero central operator involvement. - Network emissions and rewards never stopped. - Mainnet kept running through the entire disruption without interruption. Then add this: - Grayscale and Bitwise both filed spot TAO ETFs on April 2. SEC decision August 2026. - GeneralTensor raised $5 million, backed by a Goldman backed fund. - Teutonic is planning a 1 trillion parameter decentralised training run by late May, timed directly with the ETF's peak SEC review window. $TAO at $243.5. Support holding at $218 to $240. Grayscale made the largest single asset

AdTAO: Decentralized Ad Optimization on Bittensor https://t.co/8S6lD0T9DC

Centralized AI providers have long controlled access through premium pricing. From expensive inference and GPU rentals to costly model training, many developers, startups, researchers, and enterprises are forced to scale back innovation because the economics no longer make sense. Bittensor Subnets are changing that model entirely. Built on the decentralized Bittensor network, these specialized subnets create a global, permissionless marketplace for AI compute and services. Miners contribute distributed hardware, while open competition drives pricing lower and efficiency higher. The image attached compares seven major AI service categories and highlights how Bittensor Subnets are offering more accessible alternatives today. Detailed Breakdown: 1. Inference – Chutes (SN64): @chutes_ai delivers fast, scalable AI model inference across the decentralized network. Whether you’re running large language models, image generation, or custom AI workloads, Chutes routes requests to the most efficient miners worldwi