
The Geometric Memory: Teaching AI Without Breaking It
What if adapting a model did not mean rewriting its weights? WarpKernels treat memory as geometry: freeze the backbone, learn a tiny local metric, and tilt the representation space.
Showing posts about memory

What if adapting a model did not mean rewriting its weights? WarpKernels treat memory as geometry: freeze the backbone, learn a tiny local metric, and tilt the representation space.

The next useful AI systems will not just be more capable. They will be easier to inspect, correct, and trust while they work.

Compute keeps expanding, but the next useful frontier is not just bigger clusters. It is memory, agency, safety, and measurement.

A practical reading map for intent learning, grokking, memory, drift, and the safety problems that appear when agents persist over time.

Entropy, drift, attractors, and signal velocity are not just metaphors. They are useful tools for thinking about memory, intent, and safer agents.

A new home for notes on Oxygen AI, memory systems, intent, alignment, and the craft of building safer frontier software.