Mark Jeffrey

Hash Rate - Ep. 172: Minos Subnet 107 🧙 Guest: @centrum_blue of @theminos_ai 02:27 The Challenge of Private Genetic Data 07:04 The Mutation Detector 10:59 Synthetic Genomes 14:21 The Role of Miners 22:27 Why Subnet? 26:29 Competitive Landscape 29:53 Synthetic Genomes and Digital Twins 34:00 Tokenomics 46:31 Marketing 48:51 Mamad's Journey and Vision

Hash Rate - Ep. 172: Minos Subnet 107 🧙 Guest: @centrum_blue of @theminos_ai 02:27 The Challenge of Private Genetic Data 07:04 The Mutation Detector 10:59 Synthetic Genomes 14:21 The Role of Miners 22:27 Why Subnet? 26:29 Competitive Landscape 29:53 Synthetic Genomes and Digital Twins 34:00 Tokenomics 46:31 Marketing 48:51 Mamad's Journey and Vision

Minos - The Mutation Detector / Genomics Subnet On YouTube: youtube.com/watch?v=5TlrFQ… On X: Below

Socialists can't create. They can only steal. The USAID laundromat / theft machine is gone. This is why puppets Springsteen and Lauper are being sent out to read propaganda from a teleprompter.

Just finished watching Hash Rate Ep. 172 hosted by @markjeffrey with @centrum_blue of @theminos_ai (Minos Subnet 107) easily one of the most insightful conversations I’ve seen in the Bittensor ecosystem recently. You could immediately tell this wasn’t just another surface level subnet conversation. The discussion went deep into the real world challenges of genomics, and what impressed me most was how well Mark handled the interview despite openly not coming from a genomics background. He asked the right questions at the right moments, kept the conversation flowing naturally, and did a great job translating complex ideas into something understandable for a broader audience. Massive credit to him for that. One part that really stuck with me was Mamad explaining how limited the genomics industry still is when it comes to high quality benchmark datasets. Because genomic data is so private and sensitive, researchers are essentially working with an extremely small pool of trusted benchmark genomes, which slows progress across mutation detection, personalized medicine, and biomedical AI systems. The mechanism behind Minos was probably the most interesting part of the episode for me. Instead of relying on static benchmarks, the subnet continuously generates fresh genomic challenges roughly every 72 minutes by injecting hidden synthetic mutations into real sequencing datasets. Miners compete to identify those mutations using established tools like GATK and DeepVariant, while validators score submissions blindly based on accuracy. That design choice alone makes the subnet feel fundamentally different. It creates an environment of continuous benchmarking and real performance validation instead of optimizing around stale datasets or fixed leaderboards. The conversation around clinical grade accuracy and the long term vision for decentralized genomics and digital twins was also incredibly compelling. You can tell there’s serious scientific thought behind the architecture, not just hype around AI narratives. Strong DeSci energy throughout the entire interview.

@ugo_chiya21 @centrum_blue @theminos_ai Thank you ser!

@sobczak_mariusz @theminos_ai Thank you ser!

I can say a million things about this interview, but i will repeat what is said before. Never trade @theminos_ai hold add when you can, this is one of those $TAO subnets that has a real chance for 100x, watch this interview and you will understand why I have been saying that. Btw @markjeffrey is great, genomics is not easy and he made this interview very interesting

In a cost crisis, whatever produces AI the cheapest, wins. Bitcoin mining produced the world's largest supercomputer and insane hash rate more cost effectively than anything else in history. Bittensor uses the Bitcoin mining dynamic to produce and serve AI.

Cloud Astronomy! A telescope colo facility where there is no light pollution.

If you reelect this fool, don’t be surprised if she burns down the rest of the city

@romlib_ Crypto is a legit and indeed inevitable technology. Usually such things are net positive.

Warren's war on crypto was a pure own-goal by the Democrats. It achieved nothing, and it cost them enormously by alienating a large fraction of a powerful group who'd previously supported them. Look at the change from 2020 to 2024.

I do believe we'll see $TAO rally to $1,000 or $2,000 within the next twelve months. I've got strong conviction in the AI <> Crypto convergence and I do think that AI agents will use the infrastructure of crypto to settle payments on. That's why I bet big on $TAO and $NEAR.

So is mine. Thank you for all you do, @timburchett -- you are a national treasure and a patriot.

🚨 @b1m_ai #SN105 on Bittensor is building the first decentralized bandwidth highway for AI agents. • Turns unused home office and data center links into a global data fabric • Cuts costs for AI workloads by avoiding hyperscaler data transfer markups • Makes it harder for any single entity to censor or block traffic • Serves as a native data backbone that other Bittensor subnets can plug into The TAM Beam is entering is the AI data transfer and networking stack which is on track to grow into the tens to hundreds of billions of dollars over the next five years Over the next 5 years • If AI infrastructure grows at 25% to 35% annually and Beam captures even a small slice of the data highway layer • It could evolve from a niche infra bet into a multi hundred million to low billion dollar ecosystem layer in bittensor:native equivalent terms This is not just another bandwidth market • Beam is betting it will become the data backbone of the next wave of agentic AI • As AI data transfer explodes the upside may not be in models alone but in who controls the pipes they run on

One week away:

@jaltucher @Space___Turtle @chutes_ai THIS IS AWESOME

@Space___Turtle @chutes_ai Correct. I don't need to be a subnet. I'm using subnets on bittensor already. Chutes, hosts the AI. And whatever subnet hosts for Chutes, etc. Any subnet that wants to be consumer facing I plan to integrate.

This is in Alpha only. But a $TAO-powered ChatGPT-like interface. Bluetao.ai . Only using bittensor subnets (e.g. @chutes_ai ) for test and image inference. Also, you can upload files and ask questions about the files. And, for sign-ins, persistent chat memory. No censorship. Total privacy. And I'm getting the results at 1/250th the cost of ChatGPT. Only in alpha right now so might have errors or changes coming.

@jaltucher WOW very nice!

Also, persistent memory per chat. Start a chat one day, and if you return to that chat days or years later, it will remember everything from that chat.