Bittensor (TAO)

This one has been a long time coming. When we shut down the subnet back in November, we thought we'd be offline for 6 weeks max. Of course, things don't always go to plan. But 6 months later and #SN63 is BACK! In this time, the subnet has evolved far beyond our initial vision and we're thrilled with everything it's become. @EnigmaSN63 takes everything that Quantum Innovate started and improves upon it, creating the decentralized global pressure testing network that the world needs, powered by the best and brightest on #Bittensor. From an incentive model that brings outside talent into the network via corporate collaborators to being the first subnet EVER to incorporate treasury wallets, Enigma is positioned extremely well to be massively successful. Thank you to all of those that have stuck with us throughout this journey and we can't wait to see what breakthroughs you all make. This is the start of a truly special chapter for SN63. Together, we can break today to build a better tomorrow 🩵

Sneak peek 👀 Marketplace UI ▰▰▰▰▰▰▰▰▰▰▰▱▱▱▱ Trading Engine ▰▰▰▰▰▰▰▱▱▱▱▱▱▱▱ Bulk Trading ▰▰▰▰▰▰▰▱▱▱▱▱▱▱▱ Analytics ▰▰▰▰▰▰▱▱▱▱▱▱▱▱▱ Polishing ▰▰▱▱▱▱▱▱▱▱▱▱▱▱▱ Testing ▰▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱ Target: August 📅

My Proof of Chutes impact for @chutes_ai, $TAO subnet 64. + 1.1M views + 18.4K likes + 210 posts See yours: https://t.co/Cpr0cvrwPZ

The market is all red today. And this is exactly where most people make the wrong choice. They dump utility to chase stability in stables. They sell infrastructure to hold cash. They exit the builders and keep the hype coins because hype coins feel “safer” at lower prices. I have covered $TAO, $ONDO, $RENDER, $LINK, and $HYPE recently. And the pattern never changes. When the chart is red, the question is never “should I sell?” The real question is: what is still working underneath the price? $TAO subnets are still producing AI outputs. $ONDO is still settling tokenized real-world assets. $RENDER is still processing GPU compute jobs. $LINK is still feeding data to every chain that matters. Price is sentiment, utility is gravity. Sentiment moves in hours. Gravity wins over years. Utility over hype. Build over panic. Network over noise. The people who understood this in the red will not need to explain themselves when the chart turns green.

The judges voted. You voted. After 45 minutes live at the Louvre, @DeSciClaims had raised 184 TAO. Claims wins Proof of Pitch at @proofoftalk 🏆 And now they're launching a subnet on Bittensor - auditing the science that the world runs on. https://t.co/qK7dBhxiWf

$TAO Bittensor Track - Proof of Talk @metanova_labs, SN68, delivered one of the strongest Proof of Talk pitches so far. @micaelabazo presented NOVA as a drug discovery subnet built on Bittensor, using open competition to improve scientific search. Today the subnet runs competitions across small molecules, nanobodies, and chemical search algorithms. The number that caught my attention: 61 billion possible molecules. Brute forcing that search is slow, expensive, and inefficient. NOVA turns the problem into a miner competition, where participants compete to find better molecules faster. During the presentation, NOVA shared that one winning algorithm was 973x more efficient than random sampling. This is exactly the kind of story Bittensor needs to tell more often. A difficult problem. A measurable result. A competitive incentive system. A reason for miners to think, build, and optimize. If Bittensor wants more institutional attention and more serious builders entering the ecosystem, subnets need to co

$TAO Bittensor - Proof of Talk - Mog Machine made one of the most business native points in the “From Subnet to Market” panel at Proof of Talk. The framing was simple: “this is what you are spending on your current provider” and then: “would you like to try and change it?” That is the right question. A subnet does not become a company because it has emissions. It becomes a company when it can sit next to an existing vendor and answer: What does the customer pay today? What output does the customer get? Can the subnet powered service match it? Can it be cheaper? That is how Bittensor starts leaving the theory layer.

$TAO Bittensor Track - Proof of Talk Robert Myers made a very practical point in the Proof of Talk panel. AI teams usually need a brutal amount of compute before they can even prove the product. His framing was simple: Instead of raising 40 or 50 million dollars just to spend the round on compute you may not even own at the end, Bittensor lets many people contribute smaller amounts of compute and turn that into a larger cluster. That is a clean Manifold and Targon story. The business case goes deeper than cheaper GPUs. t is capital efficiency. Less money trapped in hardware. More contributors in the network. Compute as a market instead of a balance sheet burden. That is one of the strongest ways to explain why decentralized AI infrastructure can matter outside the $TAO timeline. Thanks to @SubnetSummerTAO for the Proof of Talk stream. @manifoldlabs @TargonCompute

$TAO Bittensor Track - Proof of Talk - Macrocosmos delivered one of the most technical talks at Proof of Talk today. The Orion 100B discussion was really about training economics. The team framed the problem around spot compute, idle GPUs, and one simple question: Can we train near datacenter speeds for a fraction of the cost? Some numbers mentioned during the session: 65% to 70% of centralized training speed. Around one-tenth of the cost in the scenario presented. A $42K monthly savings example on an H200 deployment. The interesting part goes beyond a single model. If Bittensor can turn idle global compute into reliable training capacity, decentralized AI gains a real economic advantage. Utilization becomes the story. Thanks to @SubnetSummerTAO for the @proofoftalk coverage and @MacrocosmosAI for the insights.