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OfficialX9SN94d ago
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

Full post on TaosisOpen on X ↗

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On-chainChild keys9SN96d ago

Validator FirstTensor.com (5DvT…N2ed) scheduled a child-key change on 42 subnets

Validator hotkey 5DvTpiniW9s3APmHRYn8FroUWyfnLtrsid5Mtn5EwMXHN2ed announced new child keys on SN6, SN8, SN9, SN14, SN20, SN29, SN30, SN35, SN37, SN38, SN41, SN44 and 30 more, applying at block 9,431,952 (~24h). Stake delegated to it there routes through its children after that.

ValidatorFirstTensor.comSubnetsSN6, SN8, SN9, SN14, SN20, SN29, SN30, SN35, SN37, SN38, SN41, SN44, … (42 subnets)

Between blocks 9,424,713 and 9,424,772

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On-chainChild keys9SN917d ago

Validator 5EqY…oaUf scheduled a child-key change on 14 subnets

Validator hotkey 5EqYdsxW1EYfb7PdJrazCYd1JuunqhABtHSWKh34jPbQoaUf announced new child keys on SN9, SN22, SN31, SN62, SN65, SN73, SN87, SN88, SN93, SN94, SN105, SN107 and 2 more, applying at block 9,359,506 (~24h). Stake delegated to it there routes through its children after that.

Validator5EqYds…bQoaUfSubnetsSN9, SN22, SN31, SN62, SN65, SN73, SN87, SN88, SN93, SN94, SN105, SN107, … (14 subnets)

Between blocks 9,352,280 and 9,352,340

OfficialX9SN917d ago
Macrocosmos@MacrocosmosAI

Hundreds of worker failures and the result is the same. We don't think about fault tolerance any more.

Quoting @IOTA_SN9

A question we often hear from teams evaluating the IOTA SDK: if I train this again, do I get the same model? We ran 7 independent 16B pretraining runs, ~140 GPUs each. Between them, 585 worker crashes, preemptions and rejoins. The loss curves are almost identical. Reproducibility is what turns a result into science instead of a one-off. It's also what makes a training run worth paying for. Most distributed training projects overfit to a single experiment: one model, one recipe, one demo run. The IOTA SDK is general purpose, fault-tolerant and reproducible. iota.macrocosmos.ai/sdk

Full post on TaosisOpen on X ↗

On-chainChild keys9SN918d ago

Validator 5EqY…oaUf scheduled a child-key change on 18 subnets

Validator hotkey 5EqYdsxW1EYfb7PdJrazCYd1JuunqhABtHSWKh34jPbQoaUf announced new child keys on SN6, SN8, SN9, SN22, SN24, SN31, SN62, SN65, SN73, SN87, SN88, SN93 and 6 more, applying at block 9,352,010 (~24h). Stake delegated to it there routes through its children after that.

Validator5EqYds…bQoaUfSubnetsSN6, SN8, SN9, SN22, SN24, SN31, SN62, SN65, SN73, SN87, SN88, SN93, … (18 subnets)

Between blocks 9,344,778 and 9,344,898

On-chainChild keys9SN919d ago

Validator Kusanagi (5Csz…gMUV) scheduled a child-key change on 44 subnets

Validator hotkey 5CszMVts9ueMUSKdAwLFSLT7u4oyxN7fUBpo8Z3ETw1ggMUV announced new child keys on SN1, SN2, SN4, SN8, SN9, SN10, SN14, SN17, SN24, SN25, SN39, SN42 and 32 more, applying at block 9,342,864 (~24h). Stake delegated to it there routes through its children after that.

ValidatorKusanagiSubnetsSN1, SN2, SN4, SN8, SN9, SN10, SN14, SN17, SN24, SN25, SN39, SN42, … (44 subnets)

Between blocks 9,335,649 and 9,335,704