SUBNETS
Hermes: A Subnet That Makes AI Agents Understand Blockchain Data
SubQuery Network, a team that’s been working on blockchain data since 2021, just launched something that could change how AI interacts with blockchain data. On January 15, 2026, they introduced Hermes Subnet (SN82) on Bittensor, a specialized network, backed by Yuma Group, that lets AI agents query blockchain information using plain English instead of complex…
What is ForeverMoney (SN98)?
ForeverMoney (Bittensor Subnet 98) is a decentralized Automated Liquidity Manager (ALM) designed to optimize concentrated liquidity on decentralized exchanges. Built on Bittensor, it uses a competitive network of AI-driven miners to manage liquidity positions in real time, improving fee capture while reducing risk for liquidity providers. Its core objective is simple. Make on-chain liquidity smarter,…
Kinitro Is Training AI to Control Robots Through Competition on Bittensor
While most AI focuses on text and images, Kinitro is tackling something harder: teaching AI to control physical robots. Operating as Subnet 26 on Bittensor, Kinitro runs competitions where AI agents compete to solve real-world robotics tasks. The better your AI performs, the more TAO tokens you earn. This isn’t theoretical AI research. Kinitro uses…
Is Score About to Become the Biggest Subnet on Bittensor?
Full article by: Angry Davee Score (SN44) is a unique subnet because it builds decentralized computer vision intelligence on Bittensor. In simple terms, that means: What makes Score different from most subnets is that this use case can be integrated into many real world businesses. So Back to the Question Is Score Already the Biggest…
Bitcast Lands Bitget as First Major Client Outside Bittensor Ecosystem
Cover Image Credit: Bitcast Bitcast (Subnet 93 on Bittensor), has announced that Bitget (a global exchange platform) has been onboarded as its major client outside the Bittensor ecosystem, marking a meaningful milestone for the subnet. The deal positions Bitcast as an embedded distribution layer for one of the world’s largest crypto trading platforms, reinforcing the…
Understanding Volatility Autocorrelation in Synth Price Path Predictions
Cover Image Credit: Synth High-quality price path predictions are not judged solely by where prices end up. What matters just as much is how uncertainty evolves over time. For trading systems, intra-day risk management, and derivative pricing, the structure of volatility is often more important than directional accuracy. This is where volatility autocorrelation becomes essential….
Three Bittensor Subnets Are Building the AI Behind Future Robots
CES 2026 just wrapped up with a clear message: humanoid robots are coming to your home. The Guardian reported on robots that can do laundry and household tasks. The New York Post announced these robots will be available for $20,000 in 2026. While big tech companies race to build the hardware, something interesting is happening…
BitSec Brings AI Security Agents to Bittensor for Blockchain Exploit Detection
The current model of blockchain security is failing in a very specific way. A DeFi protocol pays a top-tier firm between $100,000 and $1 million for a manual audit. They wait months for the report. They receive a “clean bill of health.” And then, weeks later, they get hacked anyway. Recent hacks of heavily audited…
Barry Silbert Backs Hermes (Subnet 82) as Yuma Accelerates the Data Intelligence Layer Built
Barry Silbert, the CEO of Yuma Group, has announced the launch of Hermes (grounded on Subnet 82 on Bittensor) marking a significant step toward making blockchain data usable by AI agents at production scale. Hermes is built by SubQuery Network and incubated through Yuma Group, an initiative focused on helping high-potential Bittensor subnets move from…
JSTprove Goes Live on DSperse and Introduces Verifiable AI Inference
JSTprove has officially launched on DSperse (Bittensor Subnet 2), marking a major step forward for decentralized AI infrastructure. While the release has flown under the radar, it addresses one of the most critical weaknesses in today’s AI agent economy: the lack of provable guarantees that a model actually performed the computation it claims. The core…