Preetum Nakkiran: An Empirical Theory of Deep LearningA conversation with Preetum Nakkiran, Research Scientist at Apple and Visiting Researcher at UCSD.
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In which we discuss the PimEyes face search engine and BIG-Bench, a new benchmark for evaluating large language models.
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Max Woolf: Data Science at BuzzFeed and AI Content GenerationA conversation with Max Woolf, Data Scientist at BuzzFeed and developer of tooling for AI content generation
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What happened with GPT-4chan, aka 'the worst AI ever', and what can be learned from it
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Rosanne Liu: Paths in AI Research and ML CollectiveA conversation with Rosanne Liu, a research scientist in Google Brain and co-founder and executive director of ML Collective
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In which we discuss challenges and opportunities for facial recognition companies like Clearview AI, and recent large language model advances like…
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$3000 in prizes, courtesy of Immunai
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AI is ushering in a new scientific revolution by making remarkable breakthroughs in a number of fields, unlocking new approaches to science, and…
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Ben Green: "Tech for Social Good" Needs to Do MoreA conversation with Ben Green, postdoctoral scholar in the Michigan Society of Fellows and Assistant Professor at the Gerald R. Ford School of Public…
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If there is one thing that seems more typical of academia than having a terrible work-life balance, it is complaining about the terrible work-life…
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Max Braun: Teaching Robots to Help People in their Everyday LivesA conversation with Max Braun, who leads the AI and robotics software engineering team at Everyday Robots in the quest to create robots that can learn…
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In which we discuss concerns about an algorithm that predicts child neglect and DeepMind's Gato.
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