ander
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🚨 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 in 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.








Introducing the Private Track. The public track is working well. Open models, shared benchmarks, fast iteration. Every improvement compounds. It's how you build a library of vision primitives that anyone, human or agent, can use. That's not changing. But some problems don't belong in the open. They're too complex, too specific, too much of moat for the end clients. They need closed evaluation, custom infra, and miners willing to go deeper. That's the private track. Miners run your own eval infra. They submit weights to Score. We deploy them inside Manako. Rewards are higher, because the work is harder. Two lanes. One goal. Public track builds the foundation. Private track takes vision into the hardest real-world conditions. The first private track task launches early April, the hardest task ever run on SN44. Emissions start at 10%, up to 30%.

When you’re building, you don’t really want links. You want answers you can plug into your system. But most of the time, you still end up parsing pages and stitching things together yourself. AI Search API is our way of removing that step - turning real-time web data into structured responses with sources included. Feels like a small shift, but it changes how you build. Learn more | desearch.ai/ai-search-api #Desearch #SN22















