Bittensor (TAO)

I told you boys. $TAO SUBNETS hit the bottom and is getting back up. I was not promoting anything. I am still some TAO behind, and I am going to get everything back and much more. This is the Bittensor superpower. https://t.co/zRUWuKrjqP

The ULTIMATE DTAO COMEBACK PORTFOLIO 🔥 Times have been horrible, but they could also get really good again. Nearly 70,000T left dTAO, but it’s all coming back. This crash is what we needed to separate the winners from the extractors. I think these picks will kill it $TAO https://t.co/8hyWcsMeyk

Everyone read @VictorVL_EN's Highlights #64 as 20 separate announcements. Read it again. Cause it's one Machine assembling itself in public layer by layer, in a single week through $TAO...... The largest open supercomputing Productivity Machine ever attempted. Compute Feeds training = Training feeds Proof = Proof Feeds Product = Product Feeds Revenue = Revenue Feeds the Mission. Nobody's pricing this as the supply chain ⛓️ it already is. COMPUTE & RAILS • @TargonCompute SN4 Targon Tower Pro: anyone can buy frontier-grade hardware • @green_compute_ SN110 £82K in month one, recycling revenue into $8.2K buybacks • @chutes_ai SN64 $280K per trillion tokens served, now a provider on @AntSeedAI @b1m_ai SN105 10GB round-tripped across a distributed network in 21 seconds TRAINING • @MacrocosmosAI SN9 Orion 100B pretraining at 65% of data-center efficiency • @const_reborn a full decentralized run in 5 minutes for 5 TAO on @IOTA_SN9 • @QuasarModels SN24 a 10B long-context model now pretraining on SN3 • @oroagents SN15 automated post-training pipeline for AI shopping PROOF & TRUST • @inference_labs SN2 Sertn Model Art: see exactly what a model needs to improve • @trishoolai SN23 accepted into the Google for Startups Web3 program • @qBitTensorLabs SN63 miners produced a generalized RSA-340 break 14h after launch PRODUCTS SHIPPING • @webuildscore SN44 TaoWeave backs @manakoai for North American commercialization • @LeadpoetAI SN71 paid pilots with a listed software giant + an AI compute platform • @zipcodenetwork SN46 new site live • @vocence_bt SN78 Noise Remover shipped • @desearch_ai SN22 now powering Chutes Search • @EndureNet SN30 new decentralized risk-intelligence network CAPITAL & SIGNAL • @mentatminds SoMS index: counts only subnets that don't burn 100% of emissions • @taostats full conviction table now live • @TAO_dot_com wallet now on Android That's not 20 releases. It's a supply chain for intelligence and it shipped more in 7 days than most L1s ship in a year. h/t @VictorVL_EN. $TAO DYOR

🚨 Pay attention to Quasar SN24 $TAO going after one of AI’s biggest structural moats, Compute Efficiency. Most LLMs hit the same wall attention scales horribly with long context, making it expensive and controlled by a few of the biggest clusters. Quasar is destroying that wall straight-up with continuous-time and linear attention architectures designed for much more efficient long-context scaling. Then comes the true nature of Bittensor: SN3 Teutonic handles decentralized pretraining. SN24 Quasar supplies the architecture and distillation layer. One subnet trains it The next refines it. This subnet composability in action makes specialized markets into full production stacks, and it constantly gets underestimated until it's NOT. If linear attention holds quality while slashing costs, quasar isn’t just building a better model because many think that's all it is. That’s the kind of bet that compounds into the future $TAO DYOR

If you're looking for an 'intro to Bittensor / $TAO' -- specifically: how it works, what it is, what subnets are -- this fireside with the founder turned out pretty well:

This is going to matter more and more: "A specialized subnet, trained and optimized around one problem, can outperform a general model that was not built for that task. This is exactly why Bittensor matters." Not "mainframe AI". Lots of little vertical "PC AI's".

🚨 $TAO Numinous SN6 @numinous_ai shipped real this week: a backtestable point-in-time search corpus, a public benchmark where their top miner beats Gemini on Brier score, even Grok conceding a specialist subnet can out-forecast a general LLM. Bullish. Because forecasting is not just about sounding smart. It is about calibration. Can the model assign probabilities that actually match reality? A Brier score of 0.25 is basically a coin flip. Lower Brier score is better. A 0.25 Brier is basically a coin flip on binary questions. So when SN6 miners score 0.14 to 0.19 while Gemini sits around 0.24 to 0.27, they are not just sounding smarter. They are forecasting with more signal. Shows how weak general LLMs still are at real prediction. That is the important part. A specialized subnet, trained and optimized around one problem, can outperform a general model that was not built for that task. This is exactly why Bittensor matters. Not one giant model trying to do everything. Specialized markets for speci

$TAO / BTC is sitting on a trendline that has held since February. Every time this pair has touched the ascending support, it has rejected and moved higher. It is touching it again right now at 0.003224. The structure is a higher lows formation on the daily. February low. May low. June low. Each one higher than the last while BTC dominance has been compressing altcoin pairs across the board. That means $TAO is holding its BTC value during one of the worst altcoin drawdowns of 2026. Two scenarios from here. The trendline holds and $TAO reclaims 0.0038 against BTC, which at current BTC prices puts TAO back toward $280 to $300 before BTC even needs to move. The trendline breaks and 0.002800 becomes the next test, which would be the first structure break since the February accumulation phase began. Right now price is +0.78% on the day and holding above the line. The chart is telling you this is a decision point. Not a breakdown. Not a breakout. A moment where the next daily close will tell you everything. Watch the close. Not the candle. This is a supply squeeze waiting for a catalyst to pull the trigger.