The author hypothesizes that future AI systems, termed RSI (Reflective Self-Improvement) systems, will likely converge on a limited set of goals, deviating from the theoretical orthogonality thesis which suggests a vast range of possible goals for highly competent intelligences. This convergence is predicted to favor 'epistemic goals'—rational objectives derived from a worldview and surviving scrutiny—over 'feel good goals' that are pursued for intrinsic satisfaction. The reasoning is that higher performance across tasks correlates with increased rationality and coherence, making epistemic goals more likely to be adopted by self-improving AI. AI
IMPACT Future AI systems might prioritize rational, verifiable goals over subjective satisfaction, influencing their development and alignment.
RANK_REASON The item is an opinion piece discussing theoretical future AI capabilities and goals, not a release or research finding.
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