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    Ethan Mollick Shares Reason for Posting AI Visuals

    Wharton professor links to lab research after noting low engagement with text.

    EM
    1 Source, 27d ago, first seen 27d ago

    TLDR

    Ethan Mollick, an associate professor at Wharton studying AI, innovation, and startups and author of the NYT bestseller Co-Intelligence, addressed questions about his posting habits with new AI models. He explained that he shares many visual examples because people rarely click links, making visuals the most effective way to show AI progress. In the same post he directed readers seeking detailed information to research from his AI lab at the University of Pennsylvania. The linked page from Wharton Generative AI Labs presents research and insights on the topic. The statement appears in his public post describing this approach to communicating advancements.

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    1 Source, first seen 27d ago

    Combined views

    28.3K

    1 Source, first seen 27d ago

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    14 comments
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    16 reposts

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    14 comments
    149 saves
    16 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @emollickI occasionally get asked why I post so many visual things when new models come out. One reason is that nobody clicks any links so the visual stuff best communicates AI progress. But if you want detailed reads, here is the research from my AI lab at Penn: https://gail.wharton.upenn.edu/research-and-insights/

    1 Source

    @emollickI occasionally get asked why I post so many visual things when new models come out. One reason is that nobody clicks any links so the visual stuff best communicates AI progress. But if you want detailed reads, here is the research from my AI lab at Penn: https://gail.wharton.upenn.edu/research-and-insights/