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NewsOfficialXNov 5, 2026, 14:35 UTC

first 24h of iota-decide-4b:

About SN9 iota

Macrocosmos@MacrocosmosAI

first 24h of iota-decide-4b: @huggingface built a free demo space for it @pratikg benchmarked it on a mac mini at ~90ms a decision We’re testing it internally as an agentic control plane for @IOTA_SN9, so the swarm can diagnose and recover from its own failures in real time.

Quoting @pratikg

✅ BENCHMARKED: IOTA Decide 4B v0.4, an open-weight decision model from @MacrocosmosAI, running on my 64GB M5 Pro Mac mini You hand it a state (a ticket, a policy, an agent trace) plus questions and one forward pass returns a probability for every answer. With their bundled loader on the Mac's GPU in full bf16, it loaded in 12.8 seconds and peaked at 10.7 GB. Short ticket, about 130 tokens: - yes/no: 88 ms - 3-way choice: 105 ms - 3-level score: 88 ms That's about 11 decisions a second on a desktop Mac. Their own example, a refund asked for 45 days after purchase on a 30-day policy, answered all 3 questions in 277 ms with the same answers on every repeat: - eligible: 2.2% yes - route: refunds team, 86% - urgency: Low, 63% Longer states take about 0.6 s per decision at 1k tokens and 2.6 to 3.0 s at 4k. These numbers are the floor. On Mac its linear-attention layers still run on PyTorch's generic kernels, so an optimized Metal path should make it faster. Their 33 ms figure is on a d

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SN9 iota at a glance

SN9, iota (α token ι), is one of the independent markets on the Bittensor network, each with its own α token and its own price. Its α currently trades at 0.023477 τ (≈ $5.17), against 52,969 τ of pool liquidity. On-chain, the best-delegated validator on it yields about 36.04% APR (simple) and 43.39% APY (compounded), emissions add 0.003094 τ to the pool each block, epochs run every 360 blocks. It was registered at block #1,489,797.

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More from SN9 iota

OfficialX · @MacrocosmosAI · 23h ago
Introducing IOTA Decide 4B, our first public model.
OfficialGitHub · 4d ago
macrocosm-os/iota v4.14.0
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macrocosm-os/iota v4.13.10
OfficialGitHub · 10d ago
macrocosm-os/iota v4.13.9
OfficialX · @MacrocosmosAI · 12d ago
Hundreds of worker failures and the result is the same.

Taosis indexes announcements, articles, posts and releases about Bittensor subnets from their own channels and keeps a record of each. The text above is the source’s; the figures are read from the chain by Taosis.