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The development of GPT4 raises questions about artificial consciousness and the need for psychological study of AI models, while the debate over whether they can truly be conscious remains unresolved.

  • 🤖
    New study changes how AI models interact with humans and raises questions about artificial consciousness.
    • New evidence and a recent study will change how AI models like gpt4 interact with humans and have implications for testing artificial consciousness.
    • The lecture discusses the behavior of neural networks and their potential consciousness, including the study's findings, disagreements at OpenAI, and the passing of most tests for sentience by GPT4.
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    GPT4 surpasses earlier language models and matches healthy adults in understanding Theory of Mind tasks and faux pas.
    • GPT4 has a high percentage of solving Theory of Mind tasks and understanding faux pas, surpassing earlier language models and even matching the abilities of healthy adults.
    • GBT 3.5 model shows its confidence in identifying the contents of a bag as either chocolate or popcorn, while also being able to differentiate between what Sam believes is in the bag and what the model knows is in the bag.
    • GPT 3.5's ability to impute unobservable mental states was demonstrated through bespoke versions of tasks, proving it was not just analyzing word frequency.
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    AI models need to be studied by psychological science, while the question of whether they have consciousness remains unanswered.
    • Models did not benefit from visual aids and were given open-ended questions to solve multiple variants of tasks, highlighting the need for psychological science to study complex artificial neural networks.
    • Human mental state predicts behavior and understanding false beliefs has implications for moral judgment, empathy, and deception, and language models with sufficient understanding develop a mature theory of mind, but the question of whether consciousness has emerged in these models remains.
    • How can we test if an AI has become conscious and what consensus do we have on a way of checking for emergent consciousness?
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    OpenAI's chief scientist expressed curiosity about the possibility of large neural networks being slightly conscious, while others were more cautious and certain that GPT 3 or 4 will not be conscious.
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    GPT 4 passes Turing test and exhibits machine consciousness through writing sonnets, solving arithmetic problems, playing chess, and simulating behavior mentally.
    • The lecture discusses the challenges of determining machine consciousness and reviews various tests, including the classic Turing test and more sophisticated ones, to ascertain it.
    • GPT 4 can write sonnets, solve arithmetic problems, play entire chess games and simulate behavior mentally, meeting Turing's original ideas.
  • 🤖
    AI can discover new species using Walmart items, pass picture and consciousness tests, and propose experiments on artificial gravity's effect on plant growth in space.
    • Discovering a new species using items from Walmart was suggested as a test for AI, followed by passing the "what's wrong with this picture" test and the challenging p-consciousness test.
    • A machine can form simple but authentic science, as demonstrated by Gypsy 4's proposal of a novel experiment investigating the effect of artificial gravity on plant growth and development in a rotating space habitat.
  • 🤖
    AI language models may have some degree of consciousness, but it's hard to test and we don't fully understand why they work so well.
    • The complex nature of consciousness makes it difficult to design tests to determine if AI is conscious, and we still don't fully understand why certain models work so well.
    • There is a possibility that current language models have some degree of consciousness and as they become multi-modal, the probability of having consciousness will rise to 25% within 10 years, but our tests for consciousness may not be good enough to detect it.
  • 🤖
    As AI systems improve, it is becoming increasingly difficult to rule out that models might be able to autonomously gain resources and evade human oversight, highlighting the need to design better tests for safety concerns.
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