I need to write a real post here, but for now:

Catalyzing next-generation Artificial Intelligence through NeuroAI (some pretty aggressive branding here)

As AI pioneer Hans Moravec put it, abstract thought “is a new trick, perhaps less than 100 thousand years old….effective only because it is supported by this much older and much more powerful, though usually unconscious, sensorimotor knowledge.”

Evan Thompson: Could All Life Be Sentient?

The core idea of the enactive approach is that autonomous sense-making is necessary and sufficient for cognition. An autonomous system is defined as an operationally closed and precarious system (Di Paolo and Thompson, 2014.) Precarious conditions imply the constant need for adaptivity, for regulating activity and behaviour in conditions registered as advantageous or deleterious with respect to the system’s viability in a nonstationary environment (Di Paolo, 2018). Adaptivity implies sense-making, which is behaviour or conduct in relation to norms of interaction that the system itself brings forth on the basis of its adaptive autonomy. An adaptive autonomous system produces and sustains its own identity in precarious conditions, registered as better or worse, and thereby establishes a perspective from which interactions with the world acquire a normative status.