A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...
一些您可能无法访问的结果已被隐去。
显示无法访问的结果