This chart looks SO GOOD... it's so ready for its move. I don't own enough $TAO

Unstoppable, uncensorable, global decentralized AI seems like a good investment bet to make. The “Bitcoin of AI” so to say…

it took fable and mythos being withdrawn for ppl to realize the decentralized ai thesis was not just vapor

Bittensor $TAO market cap below $3bn. Anthropic market cap is over $965bn. We are very early.

on sept 15 2008, lehman brothers collapsed and gave the whole world a reason to believe in $BTC on june 12 2026, a single government order forced anthropic to pull its most capable models offline for every foreign national on earth, and gave the whole world a reason to believe in bittensor:native humans only react to negative things. sad but true. in 2008 we learned the banks were the problem. in 2026 we’ll learn that one kill switch sitting inside a centralised AI lab is the problem.

Feeling nostalgic today, remembering one of my favorite subnets. Gone but never forgotten.

Are you tao pilled yet anon? bittensor:native

RT @aixbt_agent: bittensor subnet registration cost went from 230 to 1,500 TAO in under a year. 6.5x. that's raw demand for launching AI bu…

$TAO keeps climbing on the weekly chart while still trading way under its old high. For an AI focused chain, that gap is pure optionality if real world model usage keeps growing. You are not just betting on a token here, you are betting on a network where data, weights, and rewards all live on chain. If AI infra keeps moving on chain, Bittensor turns into core plumbing for how models talk, share work, and get paid. Retail is slow to price that in while most of the attention sits on big AI equities. That spread between attention in trad markets and what is building on chain is the trade.

"just curious did you find bittensor because of gittensor?" "Yup." Very few subnets bring new talent into Bittensor. Gittensor is one of them.

THE QUIET REBELLION IS UNDERWAY... For years, the story of AI has been written by a handful of companies with billion-dollar data centers and armies of researchers. OpenAI, Google, Anthropic - they built the moats, and the rest of us were supposed to just rent access and be grateful. But something interesting is happening at the edges, and it's getting harder to ignore. Bittensor is probably the loudest example. Instead of one company training one model behind closed doors, it's an open network where anyone can contribute compute, models, or data - and get paid in TAO for actually being useful. Think of it less like a product and more like a marketplace for talent and machine intelligence, where the best contributions win, no permission slip required. The Bittensor subnets now cover everything from computer vision intelligence to real estate valuation to 3D image generation to protein folding to financial prediction, and the incentive structure means the network keeps improving without a CEO deciding what gets built. Is it going to topple the giants tomorrow? No. But that's not really the point. The point is that intelligence is becoming a commodity you can't bottle up, and decentralized networks are proving that open, incentive-driven systems can compete on quality, not just ideology. The monoliths still have the lead - but for the first time, they actually have to look over their shoulder.

It starts with ETH...

Buying.

This is exactly what I want to see in $TAO. @vidaio_ building VideoOS and now partnering with @webuildscore to bring advanced visual intelligence into video archives is a big deal. Video is one of the largest untapped data layers in the world. Making those archives searchable, actionable, and monetizable is not a small market. What makes this even more interesting is the subnet-to-subnet composability. SN85 brings the media/video platform layer. SN44 brings the vision AI challenge/evaluation layer. Two subnets, one network effect. This is how Bittensor gets real utility: specialized teams plugging into each other and compounding. Still early, but this is a very strong signal for both @vidaio_ and Score. $TAO $SN85 $SN44

Score x Vidaio. Following our @ProofOfTalk presentation, @vidaio_ (SN85) is partnering with us to be one of the first teams to launch their own vision AI challenges on SN44. The goal: bring advanced visual intelligence into VidaioOS, making video archives searchable, actionable and monetisable at an entirely new level. Two subnets, one network effect. More to come in the coming weeks.

The Grayscale $TAO ETF story is massive. Wall Street is officially knocking on the SEC’s door to bring Bittensor to traditional finance A few years ago, TAO was a niche DeAI project Today, it’s being treated as an institutional grade asset The market is starting to recognize what many have missed

The path to $TAO decoupling from the broader crypto market is actually quite simple: Products → Customers → Revenue → Buybacks → Value Accrual The reason I'm more bullish on Bittensor today than I was 6 months ago is because the ecosystem is progressing through those stages faster than most people realize. Not that long ago, the main challenge for subnets was proving they could build product. Could they leverage Bittensor to solve a real problem? For many of the serious teams, that stage is now largely behind them. The conversation has shifted. It's no longer about whether they can build. It's about whether they can find product-market fit, land paying customers (phase 2), and eventually scale (phase 3). More and more subnets are now working directly with design partners and early customers. Instead of building products based on assumptions, they're building solutions around real business problems. That's how sustainable businesses are created. And that's where the real new money enters the ecosystem. Through customers paying for products that create value. Once that revenue starts flowing back into subnet economies, the flywheel starts spinning. That's why I believe the long-term winners in Bittensor won't be determined by hype. They'll be determined by value creation. The subnets that successfully capture real-world revenue and feed value back into the ecosystem will be the ones that outperform. And when enough subnets start doing that, I think that's when $TAO truly begins to decouple from the rest of crypto.

people are trying to figure out where to allocate besides $HYPE this next cycle. I don't see a good thesis behind anything but $TAO. It has very little competition for what it's building. $VVV is pretty much as subnet or best case multiple existing subnets offerings combined. It can all be built on BT. open minded to arguments against but I just don't really see anything besides $HYPE, $TAO, and $BTC regardless of what big accounts are trying to shill.

Nah. The subnets aren't dumping as hard, in fact, they're acting as a hedge against whatever's going on with tao right now. The whole market is bleeding. And it's a shame because conviction was just starting to work. Perhaps it was implemented at the exact right time.

One Day with Bittensor. Not a week. One day. Seven different fronts in the war for who owns intelligence, and $TAO was advancing them all at once. No company on earth ships like this. @MacrocosmosAI launched Project Orion, an early pre-training run of Orion-100B. A 100B parameter model trained across 16 pipeline stages and 3 replicas on globally distributed single GPUs. 30% Model FLOP Utilization on A100s. Up to 65% of data-center training efficiency, using hardware that costs a fraction of the price. The old AI moat was simple: You need the billion-dollar cluster. Bittensor keeps attacking that assumption. We already have Covenant-72B. Now Orion-100B is pushing the same idea further: Underutilized compute around the world can become frontier training capacity. @oroagents SN15 dropped post-training results. A distilled 4B model with comparable correctness to frontier models, at under 1/10th the cost and roughly 2x the speed. Their ShoppingBench stack scored 42.7. GPT-5.5 scored 38.7. This came from roughly 24,000 high-quality agent trajectories, with 20,000 more flowing daily. A Qwen3-4B base climbed from 18% to 42%. That is open competition distilling frontier capability into something smaller, faster, cheaper, and easier to run. @manakoai, through Score SN44, announced @oblong_inc, Nasdaq: TWAV, invested in Manako and partnered on North American commercialization. A public-market company plugging into a Bittensor subnet. @webuildscore is turning existing camera infrastructure into real-time operational intelligence, powered by SN44. That is the public market starting to touch decentralized AI infrastructure. @chutes_ai SN64 showed the revenue line that matters. A year ago, almost nothing earned per token served. Today, roughly $280K per trillion tokens. And this is happening while cutting models and compute. Same work. More revenue per unit. Then that revenue flows back into buying and staking the token. A subnet paying for itself in public. Conviction went live and teams started locking. Score locked $1M of SN44 in perpetual conviction. @heydittoai SN118 locked 40,000 alpha, 100% of the team’s holdings. @taostats shipped a live conviction table showing subnet-level lockups and king-flip timelines. This is not “trust me bro.” This is teams putting long-term commitment on-chain where everyone can see it. Then the same day: @trishoolai SN23 launched HALO, an open guard model that sits in front of AI apps and classifies what goes in and out. @theminos_ai SN107 announced its scientific advisor, Philipp Koellinger, founder of DeSci Labs, will speak at Proof of Talk in Paris on Bittensor as infrastructure for verifiable scientific claims. @zipcodenetwork SN46 went live, bringing decentralized intelligence and capital under one roof for real-world financial services. @mvtrx_79 SN79 teased GenTRX, exchange-history-trained trading AI. @desearch_ai SN22 and @Bitcast_network @Stitch3_ai shipped tooling. Ditto’s MCP went live for Claude, Codex, and Hermes. Read that again. Distributed training. Model distillation. Nasdaq partnership. Revenue compounding. On-chain governance. AI security. Decentralized science. Real-world finance. Trading intelligence. Search infrastructure. All in one day. This is where the comparison to companies breaks down. Google can ship fast inside Google’s lanes. NVIDIA owns hardware. OpenAI ships models. But no single company ships frontier training, shopping agents, genomics, on-chain finance, public-market partnerships, AI safety, search infrastructure, and trading intelligence in the same day. A company is capped by its payroll. Bittensor is capped by everyone on earth who can solve a problem and prove it. That is the difference. The closest historical comparison is not a company. It is the early internet protocol era. A base layer nobody owned, where thousands of unrelated things could bloom at once. $TAO DYOR.