Developing AI Like Raising Kids

We’re not just bits of intelligence bouncing through the world. We have complicated emotions, and nuanced and unspoken social hierarchies. We act irrationally and pursue goals that may not be in our best interests. We don’t exist within the clean confines of an operating system or a laboratory—we act and react in a highly variable world. Creating a... See more

If AI starts to generate intelligence by itself, there’s no guarantee that it will be human-like. Rather than humans teaching machines to think like humans, machines might teach humans new ways of thinking.

LeCun points to four essential characteristics of human intelligence that current AI systems, including LLMs, can’t replicate: reasoning, planning, persistent memory, and understanding the physical world. He stresses that LLMs’ reliance on textual data severely limits their understanding of reality: “We’re easily fooled into thinking they are intel... See more

Start by developing systems that can represent the core frameworks of human knowledge: time, space, causality, basic knowledge of physical objects and their interactions, basic knowledge of humans and their interactions. Embed these in an architecture that can be freely extended to every kind of knowledge, keeping always in mind the central tenets

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