🚨 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/… 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/… 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!

🔄 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/… 💡 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.

⛏️ 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/1… 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/6… Next on the Roadmap: Long Jobs for extended tasks (like training) and enterprise security features.

📉 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.

✨ 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

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🌱 Understanding Emissions in Dynamic TAO Emissions are distributing new TAO and ALPHA tokens every block. Here's the breakdown how its done: TAO Emissions Each subnet earns TAO proportional to its pool’s share of total staked TAO. More TAO in a subnet’s pool = larger slice of emissions. ALPHA Emissions Each subnet gets 2 ALPHA/block, split dynamically: - High ALPHA price ➔ More ALPHA rewards for participants (validators/miners/subnet owners) - Low ALPHA price ➔ More ALPHA flows into the pool** 💡Key Safeguard Downscaling When ALPHA’s price drops below TAO emissions, the system automatically: 1. Caps ALPHA to the pool at 1 ALPHA/block** 2. Limits TAO emissions to match ALPHA’s price 3. Ensures participants still get 1 ALPHA/block Experiment with Emissions Use our simulator to see how the distribution of emissions and downscaling work: learnbittensor.org/explore/c…

📉 What is Root Proportion in Dynamic TAO? Root Proportion determines how validator rewards are split between TAO staked to root and ALPHA staked to subnets. Early on, root nominators earn the majority of rewards, but as subnets grow and more ALPHA enters circulation, rewards shift toward ALPHA holders. This gradual shift ensures a smooth transition from centralized security (root) to "decentralized" control by the validators of the subnet itself. 💡 Why does it matter? - More TAO staked to root increases root dividends - Higher supply of ALPHA decreases root dividends - Root dividends will drop further over time as the root proportion decreases, eventually nearing 0 - Early on, root creates strong sell pressure on subnets, which stabilizes as their supply matures Curious how it works in practice? Try our simulator and see how TAO on root and ALPHA's supply impact the dividends distribution: learnbittensor.org/explore/c…