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GPT-4 Outsmarts Humans in Theory of Mind Tests
This story was originally published on HackerNoon at: https://hackernoon.com/gpt-4-outsmarts-humans-in-theory-of-mind-tests.
GPT-4 outperformed humans in higher-order Theory of Mind tests, raising both possibilities and risks for the future of AI.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #theory-of-mind-ai, #gpt-4-social-intelligence, #ai-higher-order-reasoning, #ai-mental-state-inference, #recursive-reasoning-in-ai, #ai-social-behavior-research, #language-model-benchmarks, #llm-cognitive-abilities, and more.
This story was written by: @escholar. Learn more about this writer by checking @escholar's about page,
and for more stories, please visit hackernoon.com.
This study compares the Theory of Mind (ToM) capabilities of large language models like GPT-4, Flan-PaLM, PaLM, GPT-3.5, and LaMDA against humans. Results show that GPT-4 not only matched but exceeded human performance on complex ToM tasks, aided by its scale, multimodality, and fine-tuning. While larger models and instruction tuning improve social reasoning, findings also highlight ethical risks: AI systems with advanced ToM may better adapt to human goals but could equally enable manipulation and exploitation.
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By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/gpt-4-outsmarts-humans-in-theory-of-mind-tests.
GPT-4 outperformed humans in higher-order Theory of Mind tests, raising both possibilities and risks for the future of AI.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #theory-of-mind-ai, #gpt-4-social-intelligence, #ai-higher-order-reasoning, #ai-mental-state-inference, #recursive-reasoning-in-ai, #ai-social-behavior-research, #language-model-benchmarks, #llm-cognitive-abilities, and more.
This story was written by: @escholar. Learn more about this writer by checking @escholar's about page,
and for more stories, please visit hackernoon.com.
This study compares the Theory of Mind (ToM) capabilities of large language models like GPT-4, Flan-PaLM, PaLM, GPT-3.5, and LaMDA against humans. Results show that GPT-4 not only matched but exceeded human performance on complex ToM tasks, aided by its scale, multimodality, and fine-tuning. While larger models and instruction tuning improve social reasoning, findings also highlight ethical risks: AI systems with advanced ToM may better adapt to human goals but could equally enable manipulation and exploitation.