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    740: Q*: OpenAI's Rumored AGI Breakthrough

    740: Q*: OpenAI's Rumored AGI Breakthrough

    FromSuper Data Science: ML & AI Podcast with Jon Krohn

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    740: Q*: OpenAI's Rumored AGI Breakthrough

    FromSuper Data Science: ML & AI Podcast with Jon Krohn

    ratings:
    Length:
    11 minutes
    Released:
    Dec 15, 2023
    Format:
    Podcast episode

    Description

    Sam Altman’s exit and rehiring, AGI, and OpenAI’s Q*: In this week’s Five-Minute Friday, Jon Krohn peeks behind the curtains of OpenAI, where development of the world’s first model that can solve complex, nonlinear logical problems, Q*, might be well underway. This episode casts light on the rumors behind OpenAI’s Q*, what its emergence could mean for the future of AI, and the controversies already surrounding an agent that has not yet reached the market.

    Additional materials: www.superdatascience.com/740

    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
    Released:
    Dec 15, 2023
    Format:
    Podcast episode

    Titles in the series (63)

    The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.