Decentralized intelligence gives us the ability to generate adversarial testing data at scale, continuously, with the creativity and diversity that comes from a network of independent AI models working together.
Instead of one team trying to imagine every possible way a bad
📢
We’re observing an uptick in reward values 🚀 Starting around June 15, suggesting that all validators are running the updated code and some miners have begun inspecting the codebase and iterating on their generation strategies. This reflects growing alignment with the
#Bittensor SN54 Yanez.ai deep-dive for non-devs 📜
Synthetic identity fraud (fake profiles) is one of the fastest-growing niches of financial crimes. For financial institutions, it’s a nightmare. They can easily miss subtle variations of fake identities.
But testing with
TAOisTheKey 54 Yanez.ai
Launched recently, same day as 16.
Miners from previous owner dumped the chart.
10x undervalued, conservative take.
Existing company
Working product
Customer userbase
Huge market + potential
DYOR.
x.com/btlabs_ai/stat…
Realistic threats. Continuous testing. A network that learns.
MIID turns decentralized AI into a live engine for identity manipulation stress testing.
Built for institutions. Powered by incentives.
#SN54 #Bittensor #YanezCompliance
The path is clear:
✅ Launch with name variation + sanctions stress testing
🧠 Add miner-submitted fraud techniques
🌍 Move into IP + geo risk
📄 Build toward biometric & document forgery resistance
Compliance testing that scales with threats.
Visit our website to view full
Financial institutions don’t just need better models, they need smarter validation of their sanctions screening and identity verification systems.
MIID provides the missing piece: dynamic, high-risk identity data that exposes blind spots before they are exploited by fraudsters
Validators running the latest codebase.
Miners inspecting the code.
The system is converging and the results are visible.
Keep the iteration cycle going!
#SN54 #YanezAi
Hiring an Extremely Talented Inference Engineer
We are a small team focused on engineering excellence. With τargon we have aggregated over 1,000 H200s and are now optimizing model inference for enterprise-grade latency and throughput
As we begin serving the enterprise,
Yanez started with one goal: generate realistic identity threats to help financial systems test for real risk.
Next on the roadmap: location-based evasion, synthetic documents, and eventually biometrics.
This subnet evolves.
#Bittensor #AI #Compliance #SN54
Yanez MIID tests financial compliance systems on data that mimics name swaps, transliterations, IP spoofing, and more.
Inorganic identities generated on demand by competing miners of Subnet 54.
#MIID
#Bittensor #Yanez #Compliance
Pay attention to this
Yanez is raising money OUTSIDE of bittensor and bringing that capital into the network
Something that 99% of other subnets ARE NOT doing
Yall fanboy over subnets getting outside liq…. Well here it is 🤯
~60t worth of buybacks already complete with full
Most compliance systems test against yesterday’s threats.
We use decentralized AI to generate realistic, evolving identity manipulations to
ensure compliance systems stay ahead.
The best outputs get rewarded 💰
The network gets smarter 🧠
Get involved early!
#Bittensor #Yanez
Getting kicked out may be a good thing. It took 16 days to get our initial benchmarked miner to get kicked out. That means our initial model is now worse than every other miner in the network. That is just after 16 days in mainnet. We have ways to go: the best miners are at about