Minos
@theminos_ai
Decentralized genomic intelligence. We verify the accuracy of DNA analysis so AI can actually help with your health. Built on @opentensor
10 Following 1.8K Followers
Competition in Bittensor follows incentives. We just rolled out our second major scoring overhaul since launch, upgrading how Minos evaluates genomic predictions and rewards miners.
Incorrect predictions now carry a penalty. Finding mutations that are harder to detect earns a bonus, and precision becomes more valuable.
Every new round shows how miners respond. Explore the scoring shifts with Minos MCP.
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Great to see distributed science growing on Bittensor.
Congrats to @PKoellinger and the Claims team on going live - excited to see what they build!
Claims is live on mainnet.
Miners now compete to turn papers into structured claims and source evidence. Validators score the work. The best work earns the weight. Each round builds the canonical graph of science.
450 testnet papers led here. Day 0 starts now.⏱️
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Chromosomes 17 and 16 are now live on Minos, bringing the total number of chromosomes in the network to 7.
Chr17 carries BRCA1 and TP53, while Chr16 contains key genes implicated in kidney disease and blood disorders.
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One of the less visible challenges of running Minos is moving large genomic workloads every hour while keeping storage and egress from becoming bottlenecks.
In collaboration with @Hippius_cloud, we built the infrastructure that makes this possible at scale.
If you missed the case study, here’s the full write-up 👇
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Minos (SN107) generates a genomic dataset every 72 minutes and pushes it to every miner.
That's a lot of repeat transfer, exactly where egress fees add up.
Lucky they run on Hippius S3-compatible storage & pay $0 in egress.
Case study on @theminos_ai ⬇️
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Our co-authored paper with @OpenAI and leading researchers in genomics and scientific computing is now available as a preprint on bioRxiv.
This work explores what becomes possible when frontier AI agents and domain experts come together to build and scale complex scientific software, including HelixForge, built by Minos.
Read the full preprint:
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.@theminos_ai, the team behind Bittensor SN107, co-authored a new field report with @OpenAI on agentic scientific computing.
It features HelixForge, the GPU-native engine powering the subnet’s open competition to improve mutation detection.
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This past week, subnet 107, Minos, co-authored a paper about genomic AI with OpenAI.
Here is one result of that effort: HelixForge, a synthetic genome data generator.
If you are in genomic AI and need lots of gene data for training, this is for you:
Powered by Bittensor.
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A new paper from @openai examines eight applications of agentic AI in scientific computing.
HelixForge from @theminos_ai is one of its boldest: a GPU-native genomics engine.
At Exploit, @centrum_blue takes us inside the architecture.
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Synthetic genomes for genomic AI!
Design precise donor-derived datasets with known mutations and full ground truth.
Request early access👇
Coding agents are helping scientists spend more time advancing research, taking on everything from routine maintenance and targeted optimization to complete redesigns and new systems.
While agents can reliably execute on ambitious projects, researchers must still define the scientific questions, verify results, and take a stance on long-term ownership.
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Proud to share: we co-authored a new paper with @OpenAI on scientific computing in the age of agentic AI.
HelixForge, our GPU-native engine for generating synthetic genomes, is featured as the study’s most ambitious and complex system.
An entirely new architecture, built from the ground up.
Minos is building the infrastructure for the age of AI in genomics.
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Every mutation leaves a signature in the genome.
The challenge has always been learning how to pull that signal cleanly from the noise.
Rendered on @TargonCompute.
Minos Network is leveling up.
Chromosome 19 is now rolling out, ahead of schedule.
We’re moving beyond chromosome-by-chromosome approach. The network is now evaluating multiple chromosomes in parallel, expanding into new ones while continuously refining those already mapped.
A bigger, more ambitious leap toward continuous, genome-wide intelligence.
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What Is Next For Machine Learning On Bittensor
We're co-hosting an X Space with @SubnetSummer and @ExploitSummit, featuring five builders shaping the ML landscape on Bittensor.
Speakers:
Chris, @bitstarterAI
Peyton, @heydittoai
Shardul, @oroagents
Jean, @chronollm
Mamad, @theminos_ai
And we're bringing an announcement to the mic. You'll want to be in the room for this one.
3PM BST.
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Next target: Chromosome 22
Chromosome 22 is clinically important.
Some mutations here are linked to higher cancer risk, while others can change how people respond to common medications.
Every chromosome we add brings Minos closer to a true genome-wide intelligence layer.
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We joined Novelty Search to talk about why genomics is one of the strongest real-world use cases for Bittensor.
Genomics has massive upside, but the core infrastructure is still bottlenecked by limited truth data and closed iteration loops.
Our thesis is simple: the bottleneck in genomics is no longer just generating more data, but turning it into reliable health insight.
Minos is building infrastructure for that shift, starting with mutation detection, the foundation layer for disease risk, drug response, and personalized medicine.
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“All that takes is just the right incentive.”
Reliably identifying the mutations that matter for disease risk, drug response, and personalized medicine remains one of the hard problems in genomics.
On the latest Novelty Search, @theminos_ai explained how SN107 uses Bittensor to improve variant calling, the step that turns raw genome data into a reliable list of mutations.
Today, most labs run existing tools with default settings. Minos miners are already finding better configurations that improve mutation detection accuracy, while independent validators rerun and check the work every 72 minutes instead of waiting months or years for traditional scientific validation.
Hosted by @const_reborn
Full episode in the first comment
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We’re excited to have @stillcorecap invest in Minos!
Big thanks to @markjeffrey and the Stillcore team for backing our vision as we build foundational infrastructure for decentralized genomic intelligence and more accurate, verifiable DNA variant detection.
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I am pleased to announce that Stillcore Capital @stillcorecap has invested in Minos @theminos_ai (Bittensor $TAO Subnet 107)
Two months after launching Minos on mainnet, we’ll be on Novelty Search this Thursday to talk about how we’re building the next generation of genomics infrastructure on Bittensor.
This Thursday on Novelty Search :: SN107 Minos
@theminos_ai shows how #SN107# turns genomic variant calling into a Bittensor competition, generating fresh challenge genomes every 72 minutes with hidden synthetic mutations, rewarding miners for optimizing state-of-the-art mutation detection tools.
Join live via Bittensor Discord.
>> Hosted by @const_reborn
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