A researcher outlines a three-year agenda focused on predicting the capabilities and failure modes of future AI systems, particularly those resembling human cognition. The work aims to develop efficient alignment interventions by understanding how current large language models might evolve into takeover-capable artificial general intelligence. This approach diverges from typical empirical or theoretical alignment strategies by focusing on mechanistic predictions of upcoming AI architectures. AI
IMPACT Provides a framework for anticipating future AI capabilities and alignment challenges.
RANK_REASON The article is a personal research agenda and reflection on AI alignment, not a new model release, significant industry event, or research finding.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
