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Strong AI Requires Autonomous Building of Composable Models

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Illustration of a robotic head with various data visualization overlays.

Once AI has a foundation of models and the ability to dynamically combine them to make more models, it can make the necessary inferences and forward projections to help humanity.

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Strong artificial intelligence (AI) can help us understand the nature of the universe to satiate our curiosity, devise cures for diseases, and expand to other star systems. To do all this, AI must be able to learn representations of the environment in the form of models that enable it to recognize entities, infer missing information, and predict events. And because the universe is of almost infinite complexity, AI must be able to compose these models dynamically to generate combinatorial representations to match that complexity.

The models that AI builds must encode the fundamental patterns of experience and they must be rich and deep so that the AI can access and reason over the causes of their inputs. This means that AI needs to understand the world at the level of a human child before it can progress higher.

From The Gradient
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