A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

Q: How can a high school runner become faster toward the end of the season when his only hard training has been done during races? A: Yakovlev's Model. So what the heck is Yakovlev's Model? It's a ...

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 ...

Most organizations try to change workplace behavior through education, communication campaigns, and training, but these ...

AI training uses large datasets to teach algorithms, increasing AI capabilities significantly. Better-trained AI models respond more accurately to complex prompts and professional tests. Evaluating AI ...