A technical explanation of executable graph agents: how semantic identity, typed objects, runtime actions, native code, and self-extending capability change what agents can learn and execute....
How language acquisition, dual-channel learning, ontology, ProtoScript, and executable memory shaped the long path to Buffaly....
Artificial Intelligence is currently fractured between two powerful but incompatible paradigms....
In the race to solve complex problems with AI, the default strategy has become brute force: bigger models, more data, larger context windows. We put that assumption to the ultimate test on a critical healthcare task, and the results didn’t just challenge the “bigger is better” m…...
The healthcare industry still has scars from the ICD-9 to ICD-10 transition. The stories are legendary in Health IT circles: coder productivity plummeting, claim denials surging, and revenue cycles seizing up for months. It was a painful lesson in underestimation....
In the tech industry today, we frequently toss around sophisticated terms like "ontology" , often treating them like magic words that instantly confer depth and meaning. Product managers, software engineers, data scientists—everyone seems eager to invoke "ontology" to sound info…...