From Model Training to Model Raising

Key Points

• A reform in AI model-training encourages intrinsic development over post hoc alignment methods.
• Shifting toward identity-based development may enhance how AI models understand and adapt to user needs.
• This analysis critiques current techniques, stating they fall short of fostering genuine AI understanding.
• Calls for new paradigms in model-training highlight significant implications for the future of AI.

Abstract