All Else Equal avatar

Dexa/All Else Equal

Learn more
Published May 31, 2023

Ep27 “The Future of AI” with Michal Kosinski

Jonathan Berk and Jules van Binsbergen engage with Michal Kosinski to explore AI's transformative potential in business and society, delving into its ability to predict and influence human behavior, the implications of its evolving creativity and intelligence, and the urgent need for thoughtful regulation to address these advancements.
Episode Highlights
All Else Equal: Making Better Decisions logo

Topics covered

Popular Clips

Questions from this episode

Episode Highlights

  • Human-Like AI

    AI's rapid evolution is likened to human cognitive development, with models advancing from basic responses to superhuman reasoning. highlights how AI now tackles complex tasks, such as SATs and bar exams, outperforming humans in reasoning and knowledge 1. This progression raises questions about AI's potential to develop human-like traits, including biases and moral reasoning 2.

    It's funny, because given the speed of progress, we should be probably talking about a couple of months or a couple of years and not decades.

    ---

    The swift advancements in AI capabilities prompt concerns about its implications for the labor market and information manipulation.

       

    Emerging Skills

    AI's unexpected skills emerge beyond its initial training, showcasing abilities like emotion understanding and language translation. explains that these models, designed only to predict the next word, have developed capabilities such as coding and reasoning without explicit training 3. Despite lacking human psychological mechanisms, AI models excel in various tasks, challenging traditional views of machine limitations 4.

    Those models were not trained to solve reasoning tasks. Those models were not trained to have fear of mind.

    ---

    This evolution raises questions about the need for regulatory frameworks to manage AI's rapid growth.

       

    Creative AI

    AI's ability to mimic human creativity challenges the notion of machine limitations, as models like GPT-4 demonstrate creative capabilities. argues that AI, much like the human brain, can perform creative and complex tasks, debunking the idea that machines are merely advanced tools 5. This perspective shifts the framework for understanding AI, suggesting that if a human brain can achieve something, AI can do it better and faster.

    We have to change the framework through which we understand and interpret those models.

    ---

    This evolving understanding of AI's potential invites a reevaluation of its role in creative fields.

Related Episodes