Kosinski writes: “The ability to impute the mental state of others would greatly improve AI’s ability to interact and communicate with humans (and each other), and enable it to develop other abilities that rely on Theory of Mind, such as empathy, moral judgment, or self-consciousness.” Kosinski says this could be a “watershed moment” for AI, as the ability to understand and predict human behavior would make these engines much more useful. While early versions of GPT-1, first released in 2018, scored poorly on the test, the neural network showed stunning improvement stretched across different iterations and spontaneously developed “Theory of Mind” capability of a 9-year-old human by November 2022 (the release of the latest GPT-3.5).

There are subtler skills like inference and intuition-squishier, almost subconscious concepts that help us understand and predict the actions of others.īut with the advent of advanced AI platforms like Open AI’s Generative Pre-training Transformer (GPT), even those boundaries between man and machine are beginning to fade.

It’s old news that AI have bested humans at their own games, specifically things like Chess and Go, but there’s more to our brains than checking a king. The AI revolution is upon us as super-advanced machines continue to master the subtle art of being human at a stunning (concerning?) speed.

Results show that GPT’s ToM ability arrived spontaneously in the last couple of years and the latest iteration delivered results comparable to a 9-year-old human.

Scientists from Stanford University investigated if neural networks like GPT-3.5 can master Theory of Mind (ToM) tests designed to analyze cognitive ability to predict the actions of others.

For years, artificial intelligence has proven it can best humans at analytical tasks, but is less capable at skills like intuition and inference.

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