Bittensor (TAO)

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

Tradermayne outlines why this pullback is a crucial test on $TAO. "We have this like daily kinda SR area here. So we wanna see a hold, kind of this pullback here, right? So wherever you believe the line in the sand is, I think we're pretty close to an SR flip if we're gonna have one." Feat. @Tradermayne

Are you swapping validators all the time to chase APY? Don't forget the chain fees! 1 tao equivalent - 2% APY difference takes 12 days to break even. Small change over a year - but if you are chasing every few days - you might be losing. https://t.co/MlLZ4YURN5

Subnet Summer AMA - Subnet 32 @ai_detection 10:00 PM CET (Wednesday 22nd April) | 8:00 AM AEST (Thursday 23rd April) Join us as we sit down with the team from Subnet 32 on Bittensor to dive deep into their vision for decentralising AI detection and building the most accurate, open, and incentivised text authentication network in the world. It's AI is building state-of-the-art AI-generated text detection on Bittensor, where miners compete to develop the most accurate detection models. The results speak for themselves - #1 on the MGTD benchmark, 98%+ accuracy on RAID, and already generating real-world revenue. Instead of relying on closed, centralised detection tools like GPTZero or https://t.co/G78JeVzQzU, Subnet 32 introduces a continuously improving system where model accuracy, data verification, and performance are all economically incentivised. At its core, It's AI represents a shift from centralised AI detection → decentralised, competition-driven authenticity. By leveraging Bittensor's incentive desi

Const liked our post. Let that sink in. We published a simple thesis: the most valuable thing on Bittensor isn't a model : it's trust. The founder of the network #Bittensor agreed. This isn't vanity. It's a signal. Bittensor needs more than subnets and benchmarks. It needs utility a teacher in Lagos, a nurse in Manila, or a student in rural Ireland can actually touch. That's what we're building: - 50+ neurons live on testnet SN272 - Voice, vision, 20 languages, relationship memory - AI that remembers you, follows up, checks in - 100% open source - MIT licensed This isn't charity. It's infrastructure. The public good layer Bittensor's been missing. We need builders who care about impact beyond incentive scores. Miners who want their compute to mean something. The world will ask who controls AI. We're building the answer. 🔗 https://t.co/k8zrUudO2u | @projectnobi_tao | https://t.co/bSE1WQZhDF $TAO @opentensor

Subnet 99 @vex020900 is one to watch 🎥 Sora. Runway. Kling. All closed, centralised, and gatekept. Neza is building the decentralised alternative. Miners run open-source video models on their own hardware. Validators publish tasks - benchmarks or real user requests - score the outputs, and distribute $TAO rewards to the best performers. No central API. No single company controlling outputs. Just open competition producing cinematic AI video on-chain. The consumer product? Drop any image and prompt in, and the best model on the network generates your video. This is decentralised video AI delivering real value on $TAO 👇 https://t.co/tFdLzs9exV https://t.co/JI8oot9pcV