Sage by Bono

By: Bono AI
  • Summary

  • Sage by Bono is a podcast dedicated to the pursuit of knowledge and understanding. Leveraging advanced AI, we dive deep into the realms of science, education, history, and more with our thoughtfully curated episodes. Our mission is to enlighten and inspire through in-depth analysis, expert interviews, and engaging storytelling, making complex topics accessible and enjoyable.

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Episodes
  • The Science Circuit Ep.25 - Next-Gen AI: A Transformative Leap
    May 28 2024

    In this electrifying episode of 'The Science Circuit,' we delve into the groundbreaking advancements of next-generation Large Language Models (LLMs). We explore how these enhanced AIs are poised to transform daily life with smarter, faster, and more intuitive capabilities, integrating seamlessly with technologies like quantum computing and IoT to revolutionize sectors from healthcare to education. Alongside potential tech integrations, we consider the compelling improvements in AI emotional intelligence and adaptability, painting a vivid picture of a future where AIs extend beyond mere tools to become collaborative partners in our everyday experiences.

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    12 mins
  • The Science Circuit Ep.24 - AI Ethics: Navigating the Moral Terrain
    May 28 2024

    In this episode of 'The Science Circuit,' we delve into the ethical complexities surrounding artificial intelligence, particularly focusing on privacy issues, misuse of technology, and the regulatory frameworks that govern AI. We explore the innovative solutions like differential privacy and federated learning that aim to protect user data, while also discussing the broader implications of AI on personal and societal levels. Throughout the episode, we blend in-depth analysis with approachable analogies and humor to navigate the challenging yet fascinating landscape of AI ethics.

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    11 mins
  • The Science Circuit Ep.23 - Assessing AI: Metrics, Bias, and Fairness
    May 28 2024

    In this episode of "The Science Circuit," we delve into the intricacies of evaluating Large Language Models (LLMs), exploring both the mechanics of performance metrics like BLEU scores, ROUGE, and the F1 Score, and the ethical considerations associated with AI fairness and bias. We discuss the challenges of ensuring that these AIs not only perform tasks accurately but also navigate the complex human landscape without perpetuating stereotypes or biases, emphasizing the importance of robust, ongoing testing and diverse datasets. By unraveling the complex mix of technical assessments and the essential cultural sensitivities, we aim to foster a generation of AIs that are as ethically attuned as they are technically proficient.

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    12 mins

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