AI agents need to act, read code, create PRs, send emails, spend money.
Each is an authority event.
Each authority event needs a receipt.
I'm building Emberlink, the receipt layer for AI agent action. Bounded authority. Signed proof. Every delegation, accountable.
https://t.co/bGIPcvqA7J
Trillions of value created to the world and @nvidia thinks is a good idea to fire the person that got them there. Clearly state craft at work working towards their advantage.
Releasing Delta League: edit LLM weights for benchmarking and glory! Join at deltaleague(.)ai
Earlier this week, the idea of editing weights directly with an LLM got a lot of attention —
but it was shunted by limitations in the demonstrated approach.
Delta League is an open competition for everyone to submit deltas to model weights and get them scored on a hidden test set. Auto-research and hillclimb to make smaller models more performant.
The broader vision for Delta League is creating a platform for open AI research. Beyond just editing weights, this approach offers verifiable evaluation and an open collaborative space for everyone to continue improving Pareto of open source models.
In the coming days, we will extend this platform to support editing model architectures beyond just weights and custom evaluation sets to understand how models perform in specific domains and for businesses.
love inference? love scale? confidential AI is hiring an AI inference engineer to scale confidential computing to 8 billion people. and 800 billion agents. https://t.co/Wfv85xCRMC
local hardware is great. but for those who cant run local hardware, or prefer not to, you can get the same privacy and security guarantees with confidential computing. its your data. and no one else can read it. (obligatory: i work on confidential computing at https://t.co/KWs1t05Ihd)