Reading up on UC Berkeley
4 deep · digging since jan 27
- Why Agentic Systems Need Ontologies — Frank Coyle, UC Berkeley
Frank Coyle argues that agentic AI systems require formal ontologies to enable reliable reasoning, interoperability, and safe autonomous complex decision‑making.
- How LLMs Distort Our Written Language
LLMs distort written language by shifting semantics, altering conclusions, and removing personal voice, even when instructed to make minimal edits.
- Building Brains on a Computer
Recent advances in expansion microscopy, protein barcoding, and AI-based connectomics make full human brain emulation plausible within decades, but require massive data acquisition and compute.