Agents The Missing Layer in Agentic Payments: Accountability Agents need more than identity and logs. They need neutral verification, provable execution, and real economic consequences when outcomes are wrong.
AI Agentic by Eigen: Hyderabad, India Edition | Full Recap Agentic by Eigen landed in Hyderabad: a night with AI founders and builders serious about what's next. We demoed EigenCompute and DarkBloom, ran a fireside on the AGI window, and heard where India is moving.
Agents EigenCloud: Verifiable Agent Trust using Intel and Google Cloud Every agent deployed today runs on a set of promises. A promise that a certain model is being used, that code is being deployed as promised. A promise that the agent is doing what it says that it is doing. There is no way to independently verify these promises.
AI Eigen went to Vibecon. Here's what we found. Eigen went to Vibecon as a hero partner. 300 builders. Two days. One builder survey. And one line that stopped us cold: "We are not building an app to sell. We are building a sovereign agent company." Here is what happened.
AI From wallet to company: The sovereign agent's quiet ascent AI agents are already holding wallets, earning income, and paying their own bills. The distance between that and a fully investable company is shorter than it looks, and we think it changes the structure of economic organization itself.
Agents The Agentic Economy Demands Verifiability: The Billion-Dollar Case for Trusted Compute AI agents are already generating billions, but their biggest problem is not growth. It is trust. As agents make higher-stakes decisions, verifiable compute becomes the missing layer between autonomy and accountability.
AI Project Darkbloom: Unlocking Idle Compute for AI Project Darkbloom explores distributed AI inference on underused Macs, combining verified nodes, hardware-backed privacy, and better economics to turn idle Apple Silicon into a more efficient, privacy-first compute network.