Bittensor (TAO)

Best time to get into $TAO subnets are when they are 80%-90% down.. Not when they are 1000% up.. That is why I have researched which ones are worth looking into..

@alvin_investor Last months stats https://t.co/RRyQLY4qht

🚨 Hippius $TAO's SN75. Using NASA level Math that self-heals automatically. Is Now, is burning 99.5% of its emissions @hippius_subnet. But why? The numbers first. 572 TB total network storage. 184 active nodes online every single one of them. Zero offline. Node count nearly quintupled in March alone, from 40 to 180+. Nodes distributed across Europe (140+) and North America. 29,000+ accounts up from zero one year ago. 35,000+ credits purchased and climbing. 5.18 million files on the network. And only 43 TB of used storage. That's the point. Hippius just completed the most insane infrastructure rebuild in Bittensor. They ripped out IPFS entirely and replaced it with Arion their own deterministic storage engine built from scratch in Rust. The storage number dropped from 100+ TB to 43 TB because the old system was 80% waste. Five copies of every file. Bloated. Inefficient. Miners flooding the network with junk data just to fill storage and collect emissions. The new system uses Reed-Solomon erasure coding with a 10+20 scheme. 👀 Same math NASA uses to protect deep-space probe data 🛰. Every file gets split into 10 data shards and 20 parity shards, distributed across 30 different miners. You only need any 10 to reconstruct perfectly. Lose 20 out of 30 miners 66% of the entire hosting fleet and your data is 100% intact. Genius 🧠 The old IPFS system survived about 4 simultaneous node failures. Arion survives 20. And it self-heals automatically. The validator detects a downed miner, downloads 10 healthy shards, mathematically reconstructs the missing ones, uploads them to new miners. Full redundancy restored. No human intervention. Then there's CRUSH, Controlled Replication Under Scalable Hashing. In IPFS, finding data was a search. Multi-hop queries across the network. Slow. Variable. Unreliable. In Arion, finding data is a calculation. The cluster map lives on-chain. Any client can compute exactly where every shard lives instantly. Even if the validator goes offline, the network still works. Grid Streaming means downloads pull from multiple miners in parallel simultaneously. Your download speed becomes the sum of all miners' upload speeds. Not limited by one node. A decentralized CDN that can saturate a gigabit connection. Now here's the part that @mogmachine explained: Miners are paid only for what's actually sold and used. 43 TB of real demand. $150/day in miner payments. The team is burning 99.5% of emissions rather than handing out rewards for empty storage. As mogmachine said: "Hippius being conscientious about miner emissions causes less sell-pressure. As more subnets do this, $TAO becomes harder to get, more difficult to mine. Which is a good thing for $TAO attracting more talent." This is what responsible subnet economics looks like. Not inflating emissions to attract mercenary miners. Building real demand first. Paying for real work. Burning the rest. The product layer: S3-compatible storage Same API. Same tooling. Zero migration friction. Free egress. Pay in $TAO or card. That means any existing AWS S3 workflow can move over minutes. Then layer on top: • Desktop v2 on Mac, Windows, Linux • multi-folder sync with Arion • client-side encryption • conflict-free sync • self-healing redundancy • deterministic file placement • cross-subnet communication through @HermesSubnet • PullWeights for model hosting and verified downloads • Alphanomics tying token value to real storage demand This is what makes it brilliant. They are not just storing files. Every model checkpoint. Every dataset. Every inference cache. Every subnet transfer. Every genomic data archive. It all needs a home. What stood out most to me: after rebuilding with Arion, the team restarted from the base instead of paying miners for empty storage. That is integrity. Real demand. Real usage. Real token economics. This is the kind of subnet that becomes foundational infrastructure for the rest of the network. $TAO DYOR.

$TAO - Attempt to score & rank Top 10 subnets (WiP) So far have these 9: 1. SN41 - Targon 2. SN64 - Chutes 3. SN75 - Hippius 4. SN3 - Templar 5. SN44 - Score 6. SN62 - Ridges 7. SN68 - Nova 8. SN18 - Zeus 9. SN51 - Lium Scored based on: - Organic Revenue - Subsidised Revenue - Ratio of Rev to Mcap - Backing by large names including Stillcore, Grayscale, Pantera, Polychain - Arbitrary hype point for news such as Intel partnership, or discussed on podcast with Jensen Huang What would you say is missing, should be looked into or added?

$TAO ecosystem is the most interesting thing happening in crypto today

Before Covenant-72B shipped, the debate was whether decentralised training could work at any serious scale. That debate is over. @tplr_ai and @covenant_ai pulled this off on Bittensor SN3 using permissionless infra. No coordinated data centre. No single point of control. What comes next is the more interesting question. #Bittensor #TAO $TAO https://t.co/isY1DaS57b

Bitternsor $TAO I hear you. But here’s the reality: I don’t speak English. For 4 years, I’ve been in the trenches of Bittensor, spending thousands of hours reading, translating, understanding, and sharing what I could with the tools I have. Yes, I use GPT. Because I have no other choice. What you see as “structure”… is actually survival. What you call “GPT slop”… is years of effort to overcome a real limitation. I never claimed to be perfect. I just refused to stay silent because of a language barrier. And despite that, I built Magellan, one of the only mental maps of the entire network. Magellan >> https://t.co/rm698HO8ZW So maybe my style isn’t for you anymore, and that’s fine. New voices are coming, better ones, more fluent ones. That’s a good thing for Bittensor. But don’t confuse limitation with lack of value. I’m still here. Still learning. Still adapting. Push'τ

🚨 Grayscale just filed an amended S-1 for the Bittensor Trust $TAO 🚨 This isn't a first filing. It's Amendment No. 1, meaning the SEC reviewed the original registration, sent comments, and Grayscale responded. That's the process working. An approved S-1 turns the Grayscale Bittensor Trust into a publicly quoted product. Fund managers, retirement accounts, and institutional desks that can't custody raw tokens get a regulated on-ramp to $TAO exposure. Grayscale walked this exact path with Bitcoin before GBTC became the largest crypto fund on the planet. They're now running it for decentralised AI. Davis Polk, the same law firm behind some of the biggest ETF conversions in crypto, is counsel on the filing. $TAO is moving from "interesting thesis" to "allocatable asset class."