エピソード

  • 115. Data Collective with E.M. Lewis-Jong

    115. Data Collective with E.M. Lewis-Jong
    2026/08/25
    This time we're chatting with E.M. about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, Mozilla data collective, under represented cultures in datasets, accidental monocultures with technology, negative uses of datasets, AI literacy, the instability of LLMs and more...
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    48 分
  • 114. Future of Education with Dr Jonathan P. Strecker

    114. Future of Education with Dr Jonathan P. Strecker
    2026/07/24
    This time we're chatting with Jonathan Strecker on the kinds of intelligences, why AI shouldn’t replace learning wholesale, six levels of wisdom, AI hallucinations and lack of trust, AI use in academia, skills atrophy, the anxious generation, dumbing down the masses, rethinking education and more...
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    48 分
  • 113. MLops and HCI with Demetrios Brinkmann

    113. MLops and HCI with Demetrios Brinkmann
    2026/07/07
    This month we speak with Demetrios for the second time about: what is ML and MLops, narrow Machine Learning being still relevant, vibe coding, working with agents, talking to your computer, unknown productivity gains of LLMs, the chat interface as a bad interface for all knowledge, AIs that know when they’re wrong, the lack of ground truth, and more...
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    48 分
  • 112. Safe and Moral AI with Rebecca Raper

    112. Safe and Moral AI with Rebecca Raper
    2026/06/08
    In this episode we chat with Rebecca for the second time about: intelligence isn’t everything, are LLM’s even safe? AI governance and guardrails, moral assurance, under-specification problems, lack of interdisciplinary work in robotics, AI shouldn’t be sold as a solution to everything, sidelining of AI Ethics, what are the actual benefits of AI? will AI progress widen inequality? and more...
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    45 分
  • 111. Effects of AI with Dietmar Fischer

    111. Effects of AI with Dietmar Fischer
    2026/04/14
    This month we're chatting with Dietmar Fischer about what we will mean by saying "AI" in the future? AI in science fiction, the fact that AI’s don’t want for anything, jobs and the political effects of unemployment, post-work society and defining what a good life is, the Chinese AI legislation, protecting young people from AI anthropomorphising, AI literacy, the AI bubble, Human extinction, and more
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    52 分
  • 110. Organoid Computing with Dr. Ewelina Kurtys

    110. Organoid Computing with Dr. Ewelina Kurtys
    2026/03/31
    This month we're chatting with Dr. Ewelina Kurtys on the uses of organoids and energy saving computing, the unknowns in neural science, differences between biological neurons and digital neural networks, how neurons operate and encoding information, the impractical nature of recreating brain structures, the tendency to anthropomorphise, determinism and more...
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    44 分
  • 109. Intelligence explosion with James Barrat

    109. Intelligence explosion with James Barrat
    2026/03/03
    This episode James and I are trying to stay positive while chatting about: superintelligence, AI basic drives, and the alignment problem; The intelligence explosion, existential risks of AI; profit over responsibility, the super rich; AI regulation and much more
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    1 時間
  • 108. Moral Agents with Jen Semler

    108. Moral Agents with Jen Semler
    2026/02/04
    This month we chatted in-person with Jen Semler. We chatted about what is AI? Philosophers and engineer collboartions, businesses working with ethicists, machine ethics and AMAs, what makes a moral agent, how to create a moral agent, types of moral decisions, the point of moral agents, how can we tell if a machine is conscious, tech companies being not democratic organisations and don’t have to adhere to their citizens, and more...
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    44 分