Learn Bittensor

Seeing different "Emission %" between @taoapp_ and other explorers? Here is why: If a subnet's price falls below its "Emission %", then the chain uses a portion of the subnet's TAO emissions to buy the subnet token (also known as "Chain Buys"). TAOapp uses the protocol's TAO flows to calculate the accurate "Emission %" including both these portions, because that's the share the chain actually allocates to each subnet. More questions? Let Savant explain in depth: tao.app/savant/share/1…

If you have questions, then leave them down below, or read this post by OTF on what changes and what stays the same after the TAO halving: x.com/opentensor/sta…

Tracking the TAO halving? If your ETA keeps moving, that's normal. The halving triggers at exactly 10,500,000 TAO circulating TAO, and recycling of TAO shifts the timeline. TAO.app's countdown reads the from the blockchain and recalculates every ~12s, so you can celebrate on time! 🥳

Obsessing over the Bittensor miners map created by - @learnbittensor Soon the globe will be covered in green dots..

@PushingTao Thank you!

This miners map on @learnbittensor is really cool. A great way to see the distribution of $TAO miners across the world.

🚨 TAO Emissions Got an Upgrade in Dynamic TAO How TAO gets distributed just changed. Instead of TAO emissions being determined by the EMA prices, the protocol now uses the net TAO inflows to decide which subnets gets "incentivized". The "old" way was to distribute TAO emissions based on their EMA price. This meant that subnets where the ALPHA price was higher got more TAO emissions. This caused multiple "problems": - It made TAO emissions biased by the liquidity of a subnet's pool - Subnet's with high ALPHA prices and higher liquidity, were able to easily absorb negative net inflows - The injections of TAO and ALPHA reinforced the subnet's current EMA price (fixating them) TAO emissions now are using an EMA of the "net TAO inflow", this is the sum of TAO staked minus TAO unstaked (at every block). Subnets with stronger, more sustainable net inflows will get larger emission shares. Learn More: learnbittensor.org/concepts/token… How it works?: - Net inflow EMA smooths over 87 days to prevent temporary volatility - Subnets with positive net inflow EMAs receive TAO emissions - Subnets with negative inflows receive no emissions until they turn positive Plus: Introducing "Root Claim" With the newly added root claim feature root stakers are able to choose how they want to claim their dividends. Based on the provided content and the example X posts you've shared, here's a suggested X post introducing the new net inflow-based TAO emissions and Root Claim feature: - 🔄 "Swap" - Convert ALPHA → TAO (default, like before) - 💎 "Keep" - Hold ALPHA on subnets you're earning from Learn More: learnbittensor.org/concepts/token… The "Keep" option allows root stakers to support subnets by reducing their sell pressure on ALPHA while providing exposure without risking your staked TAO. NOTE: Currently an all-or-nothing choice. An update will be made where you will be able to keep only ALPHA from the subnets of your choice!

@ighodarod95 This is a scam website and account. Don't click on it and please report

@learnbittensor Is this affiliate to you?

@nfTUUR You can find the proposal here: github.com/opentensor/bit… This is currently being openly discussed without a given ETA.

@learnbittensor Set to start at 256 subnets.....where can I find this. I know some talk about uncap the subnets....not sure this is in motion already...

🔄 Subnet Deregistration is Being Proposed Again for Dynamic TAO Subnet deregistrations are back on the table, and could free up TAO emissions and resources from inactive subnets with the introduction of BIT-0016. Here's how the proposal works: When Would It Trigger? Deregistration triggers when the protocol reaches its subnet limit, set to start at 256 subnets, and a new subnet wants to register. It then picks an existing subnet to remove. The ALPHA Distribution Ratio (ADR) Only subnets with an ALPHA Distribution Ratio (ADR) less than 1 are eligible for deregistration. This means more ALPHA tokens are held in the subnet's pool than by users, indicating lower demand for the ALPHA token. Protection for New Subnets New subnets get a 6-month immunity period where they cannot be deregistered, giving teams time to establish themselves. Learn more about the DTAO-compatible subnet deregistration: learnbittensor.org/concepts/dynam… 💡 NOTE: The term "NAV" seems to cause confusion. That's why we prefer "ALPHA Distribution Ratio (ADR)" as a clearer term, that better reflects what the metric actually measures.

@rustdesk @bittensor_ @Toddsteez @badenglishtea @opentensor @taostats @TAOCommunityHub Thank you for the report. The "search" option should be now working as expected. 🙏

@learnbittensor @bittensor_ @Toddsteez @badenglishtea @opentensor @taostats @TAOCommunityHub Bug in your website, "search" does nothing.

@Robin_T100 Thank you for the shout-out! 🙏

Want to learn about #Bittensor, this is a great place to start - lots of great information for beginners and OG's alike $TAO - @learnbittensor x.com/learnbittensor…

⛏️ TAOHash (SN14): Community-Owned Mining Pool Miners on subnet 14 have built a community-owned Bitcoin mining pool that peaked at 5 EH/s shortly after launch, representing 0.55% of Bitcoin's total network hashrate. Unlike traditional pools where operators keep all fees, ALPHA holders "will" own the pool. The 2% pool fee is claimable by ALPHA holders, creating shared ownership instead of corporate control. Miners compete based on share value rather than raw hashrate, earning both BTC rewards and ALPHA tokens that represent pool ownership stakes. Learn how community-owned mining works on TAOHash: learnbittensor.org/subnets/14 Next up: Smart contracts for automated BTC rewards to miners and pool revenue distribution to ALPHA holders, and a hashrate rental marketplace.

🖥️Chutes (SN64): Serverless AI Compute at Scale Miners on subnet 64 have built a serverless AI platform processing 160 billion tokens daily across 400,000+ users at 90% lower cost than other specialized platforms. Miners run "chutes" (AI models or computational tasks) and compete through bounty mechanisms. When users request "cold models", miners race to launch them first, earning bounties that increase over time until someone responds. The platform operates like "Squarespace for AI" - developers deploy models without managing servers, GPUs, or infrastructure. Learn how serverless AI compute works on Chutes: learnbittensor.org/subnets/64 Next on the Roadmap: Long Jobs for extended tasks (like training) and enterprise security features.

We are now starting to cover all the subnets, like we did with SN3/Templar few days ago: learnbittensor.org/subnets/3 Going forward the coverage will be filled starting with the highest emission subnets first. Regards to your second point about inactive/active subnets, we will show an indicator for that in the next update, otherwise you can see which subnets are inactive on most platforms like tao.app, taostats.io or backprop.finance

@learnbittensor @tseutseutao @NATIXNetwork @YumaGroup @FoundryServices @taostats @taoapp_ Thanks for checking in! I’ve been invested in a lot of projects in this asset class that, quite frankly, don’t do a whole lot. The sheer number of SN is hard sift through. Is there a place to read about what each SN is working on? Which SNs are active and which aren’t?

$TAO #SN72 - And the new @NATIXNetwork's subnet is a @YumaGroup incubated one! Initial thoughts were that it was a @FoundryServices's subnet... But in the end it's a Yuma one. Close enough!

@BeNumber100 @tseutseutao @NATIXNetwork @YumaGroup @FoundryServices @taostats @taoapp_ Could we be of any help, what is the exact information you are looking for?

@tseutseutao @NATIXNetwork @YumaGroup @FoundryServices @learnbittensor @taostats @taoapp_ Just followed @learnbittensor and I’ve been playing around on @taostats but was feeling a bit overwhelmed and looking for something simpler. I haven’t been on @taoapp_ but I’ll check it out ✌🏾

@LordTakezo Thank you! Keep it going, we are happy to see more people wanting to simplify the complexity Bittensor is! 🤝

I honestly created this twitter account to see if I could simplify $TAO to non-technical folk like myself, but I have come to realize that it’s kind of pointless when you have resources like @learnbittensor. Thank you for the hard work 🫶

📉 Templar (SN3): Incentivizing Loss Reduction The miners on subnet 3 just completed training a 1.2 billion parameter model through competitive loss reduction. Every 84 seconds, miners perform real training work on assigned data pages, measuring the model's mistakes (called "loss") and calculating pseudo-gradients. Only the top 15 highest-quality contributions get applied to the global model—creating competition between miners to optimize their training methods. Learn how distributed training works on Templar: learnbittensor.org/subnets/3 Building on this success, future plans target 70 billion parameters and beyond.

@cosmic_desearch Check your DM's, help is always welcome 🙌

@learnbittensor If need anything about Sn22 happy to help 🙏😊👍

✨ Learn Bittensor Got a Complete Makeover! Our platform just received a major redesign to make Bittensor more accessible than ever. 🎨 What's New: - Clean, modern interface with improved navigation - Enhanced search functionality across all resources - Better content organization for concepts, guides and subnets - "Teams", "Apps" and "Articles" coming soon... Whether you're new to Bittensor or diving deeper into the ecosystem, everything you need is now easier to find and understand. Explore the new experience (and leave us some feedback!): learnbittensor.org

@checker_chain DM'd, highly appreciated👋

@learnbittensor looks clean. if you need any info related to SN87, happy to help.