True progress in AI requires moving from seductive, linear projections of scale to an iterative development chain built on modular architecture, feedback loops, and human-machine partnership, where wisdom emerges from correction and co-evolution, not from computation alone.

Humanity now produces more language than we can process, destabilizing our shared reality; to navigate this, we must build Augmented Human Intelligence systems that strengthen human attention and judgment rather than replace them with centralized oracles.

The pursuit of AI through scaling alone has reached diminishing returns; true intelligence requires a modular architecture inspired by evolution, specialized systems orchestrated by an executive function for adaptability, efficiency, and human partnership, not autonomy.

Attention is the core constraint on all intelligence; we need systems, both AI and personal, that help us focus on what matters rather than distract us from it.

Intelligence stems from the attention architecture, not compute scale; the future of AI should be modular systems that augment human judgment, not monolithic models that replace it.