Blog Archive

Algorithmic attention capture undermines democracy by hijacking executive function and fragmenting shared reality, requiring new architectures that support collective deliberation rather than engagement-driven fragmentation.

Misdefining AI as “intelligent” leads to governance failures; we should instead build Augmented Human Intelligence systems designed for human partnership rather than autonomy."

The author applies AI’s modular architecture to personal life, proposing a framework for deliberately allocating attention across seven life domains, turning living into a practice of conscious orchestration rather than reactive survival."

BCIs could enable real-time cognitive support by detecting biased thinking as it occurs, though current technology remains limited to medical applications and is far from consumer-ready cognitive augmentation.

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.

Evolution’s energy-efficient brain architecture shows that scaling alone won’t lead to AGI; we must learn from biology’s modular, embodied, and causal design

After a career shift, the author develops a framework that links evolutionary biology, AI, and human consciousness, arguing that principles such as attention and modularity can lead to better technology and more meaningful lives.