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Arvind Narayanan
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Arvind Narayanan

@random_walker
Princeton CS prof and Director @PrincetonCITP. Coauthor of "AI Snake Oil" and "AI as Normal Technology". normaltech.ai Views mine.
Princeton, NJ
cs.princeton.edu/~arvindn/
Joined December 2007
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    Arvind Narayanan
    @random_walker
    Jul 14
    1) If you haven't read AI as Normal Technology, these annotated slides are probably the easiest way to get a high-level overview. cs.princeton.edu/~arvindn/talks… 2) If you're already familiar with the core ideas, Part 1 of the talk is largely a summary of what I and @sayashk have
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    Arvind Narayanan
    @random_walker
    Jul 13
    I had the honor of giving a keynote at the International Conference on Machine Learning in Seoul last week titled “What will be left for us to work on?” I addressed the widespread anxiety about how we should adapt as AI capabilities increase. I was thrilled by the talk’s
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    Arvind Narayanan
    @random_walker
    14h
    Two contrasting patterns of working with agents are emerging: delegation and collaboration. Delegation makes sense when it's a long-horizon task that you want the agent to tackle asynchronously, your intent and specifications are clear to the agent, and it's easy to verify the
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    Arvind Narayanan
    @random_walker
    Aug 6
    Recursive Self Improvement is a possibility worth taking seriously. Our new paper adds empirical evidence to the understanding of current capabilities, avoiding both extremes — hype based on naive trend extrapolation and knee-jerk dismissal based on hand-wavy arguments.
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    AI agents can't yet do open-ended AI research
    From normaltech.ai
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    Arvind Narayanan
    @random_walker
    Jul 30
    📢AI agents can autonomously conduct AI research when the result is easily verifiable, but what about open-ended AI research? That’s much harder to study, and our new preprint is our first crack at doing so. Our main finding is negative, and we identify five recurring failure
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    Arvind Narayanan
    @random_walker
    Jul 29
    Imagine if car safety testers only did tests on the engine and called it a day, instead of testing the vehicle itself. This is roughly the situation in our understanding of the mental health risks of chatbots. Most of the research is on models but models aren't what people

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