τinez 🏴‍☠️

Here is a summary of $TAO SN107 @theminos_ai AMA “DNA is the original programming language — nature solved data compression and error correction billions of years before we invented computers.” — Mamad Ahangari, Founder SN107 First thing worth knowing: @const_reborn — personally bought the subnet registration for this team. That’s signal deserves more attention than it’s getting. Mamad has a PhD in statistical genetics with a focus on psychiatric genetics and methods development in genomics. He also mined Bittensor before deciding to build, which means he understands the network from the inside out, not just the whitepaper version of it. His team came in as miners, identified a real scientific problem they personally live with, and built a subnet around solving it. That origin story matters. @theminos_ai injects synthetic mutations into real, publicly available DNA sequencing data from gold-standard reference datasets, then challenges miners to detect them accurately. The miner with the most precise detection algorithm wins emissions. The combinatorial space per challenge round exceeds 10^600 — there is no meaningful way to reverse engineer anything from the outputs. Why miners should pay attention now No GPU needed. A 4-core CPU, 8GB RAM, and Docker is all it takes to compete in Phase 1. The barrier to entry is deliberately low because Someone with basic bioinformatics curiosity and the willingness to iterate can compete meaningfully today. But here’s where it gets interesting. Mamad said flat out that if you’re not using agentic mining you’re going to fall behind. This subnet has a clear objective function, deterministic scoring, and fast feedback loops — the exact architecture where an AI agent iterating autonomously on hyperparameter configurations will outperform any human doing manual tuning. The miners who recognize this early and build agentic pipelines in Phase 1 will have a compounding advantage when Phase 2 opens custom code submission. We’re essentially watching the ground floor of a subnet that’s purpose-built for the current moment in AI. The market nobody is talking about Genome sequencing cost over $1 million twenty years ago. Today it costs under $200. Newborn genomic screening is already being piloted at national scale across multiple countries. Within a few years sequencing at birth will likely become standard of care globally. We’re talking about hundreds of millions of additional genomes coming into existence that every single one will need variant calling to be useful for anything — clinical diagnostics, drug discovery, rare disease identification, pharmacogenomics. The global genomics market sits at roughly $38 billion today. It’s projected to exceed $176 billion within a decade. @theminos_ai is building the inference layer that sits between raw sequencing data and everything downstream. Every genome. Every analysis. Every clinical decision that depends on knowing where your DNA differs from the reference. That’s the market. The ASHG conference is the moment to watch This is the one that most people in the TAO ecosystem will sleep on until it’s too late. ASHG — the American Society of Human Genetics annual conference — takes place in Montreal this November. Over 4,000 working geneticists, researchers, and clinicians attend every year. Mamad is planning to present @theminos_ai data there. If he walks onto that stage with real benchmarking results showing that a decentralized miner network is producing variant calling performance that competes with or exceeds existing tools, that is a legitimacy event with no parallel anywhere else in the Bittensor ecosystem right now. The genomics community will not have seen anything like it before. Database licensing to pharma and academia, a consensus variant caller aggregated from top miner outputs, and pipeline validation services for clinical sequencing teams. We’re early. @const_reborn was earlier. The ASHG stage is being set.