Tao Portal
@TaoPortal
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Simplifying $TAO. Accelerating adoption. One tool at a time. 🔮
Joined March 2025
Simplifying $TAO. One tool at a time. Welcome to Tao Portal🔮
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🔥 SUBNET BURN ALERT 📷 $TAO.Subnet 31 Candles - 2,050.42 Alpha Tokens Burnt!
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🚨 Ridges Is Beating Billion Dollar Rivals $TAO 🚨. 🟢 Ridges.• 80 % SWE‑bench.• $827K distributed on chain to miners to reach benchmark.• Valued at $78.34M.• No comsumer product launched yet. 🔵 Anthropic / Claude Opus 4.1.• 74.5 % SWE‑bench.• $3.5B raise at $61.5B
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🔥 SUBNET BURN ALERT 📷 $TAO.Subnet 31 Candles - 1,951.67 Alpha Tokens Burnt!
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🔔 SUBNET ACTIVE ALERT 🔔 $TAO.Subnet 83 CliqueAI is now active for trading! 📷. CliqueAI - AI-Powered Maximum Clique Solver Network
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🔥 SUBNET BURN ALERT 📷 $TAO.Subnet 93 Bitcast - 6,344 Alpha Tokens Burnt!
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🔥 SUBNET BURN ALERT 📷 $TAO.Subnet 31 Candles - 1,932 Alpha Tokens Burnt!
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China wants your $TAO, and soon China will want your ALPHA.
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7/ 🚀 Why It Matters For $TAO. Every subnet runs on $TAO incentives. As layers depend on each other, demand in one fuels the rest. More usage → more TAO staked & spent → tighter float → stronger price support. Specialisation concentrates rewards around the
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6/ 🔁 How Value Moves. Compute & storage power training + serving.⬇️.Alignment improves outputs.⬇️.Apps consume the results.⬇️.Miners do the work → validators score it → rewards flow to the top performers.
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5/ 📱 Application Layer. Ridges builds end-user products (e.g., coding agents) on top of aligned models and live inference. This is where users actually feel the value.
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4/ 🎯 Alignment Layer. Affine runs competitive RL (Reinforcement learning) to improve behaviour so models/agents respond more usefully. It loops with the service layer: 🧰.fetch models → align them → push better ones back.
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3/ 🧰 Service Layer (AI Utilities). 🔵 Chutes → inference APIs that route prompts to models and return outputs. 🔵 Gradients → training/AutoML to produce/finetune weights. 🔵 Grail → verifiable LLM inference. Together, they act like a decentralised AI cloud: .train → serve
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2/ 🔌 Commodity Layer (The Foundations). 🟡 Lium → decentralised GPU compute marketplace. 🟡 Hippius → decentralised storage for models/data. 🟡 Targon → infrastructure-level inference/secure runtime primitives. Think of this layer as the power, disks, and low-level
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🧠 Bittensor In One Picture $TAO 🧠.A stack of specialised subnets that plug into each other:. Compute & Storage → Core AI Services → Alignment → Applications. $TAO coordinates the whole flow. 🔁. 🧵👇
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🚨 $TAO Subnet Deregistration Proposal 🚨. A new proposal (dated August 12, 2025) would reintroduce subnet deregistration to prune inactive / low-value subnets from the Bittensor network. This was removed when dTAO launched, but now it’s back on the table, pending a Senate vote
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🔥 SUBNET BURN ALERT 🔥 $TAO.Subnet 31 Candles - 2,082 Alpha Tokens Burnt!
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🏦 Treasury adoption is here for $TAO.There are now 3 corporate treasuries holding TAO. Next target → overtake $SOL (5) → then $ETH (10) 🚀. Current public holders:.💼 TAO Synergies — 42,111 TAO.💼 xTAO — 41,538 TAO.💼 Oblong — 21,638 TAO. Who will be the next to join this
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🔔 Follow us and turn on notifications for the most essential Bittensor news, explainers & alerts!
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🛡 Safety Toggles. 🟢 Alpha emissions pause when subnet registrations are off, avoiding wasting emissions on closed subnets. ✨ What it means: emissions only flow where they’re useful. Incentives protected.
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👩💻 Builder Upgrades. ✅ Polkadot SDK → stable2503-6, Rust 1.88, new WASM target.✅ Type-safe TAO (TaoCurrency) → avoid TAO/Alpha mix-ups.✅ CI now uses ephemeral runners → faster + more reliable builds.✅ Developer velocity just got a boost. ✨ What it means: safer code,
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