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There are immediate next steps that we can take to improve the environmental posture of the AI systems that we build.
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Preview of The Imperative for Sustainable AI Systems for paying subscribers
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Sergey Levine on Robot Learning & Offline RLAn interview with professor Sergey Levine, who researches Deep Reinforcement Learning with an emphasis on robotics, Offline Reinforcement Learning, and…
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Gradient Community Discussion Thread #3 - a Gradient Subreddit?
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Over a hundred researchers at Stanford think so. We are not so sure.
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Jeremy Howard on Kaggle, Enlitic, and fast.aiAn interview with Jeremy Howard, a founding researcher at fast.ai, an institute dedicated to making deep learning more accessible
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In which we discuss a new proposal to tax “robot labor” and discuss the new report on "Foundation Models" such as GPT-3 from Stanford’s AI Lab.
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Evan Hubinger on Effective Altruism and AI SafetyAn interview with Evan Hubinger , an AI safety veteran who’s done research at leading AI labs like OpenAI, and whose experience also includes stints at…
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Gradient Community Discussion Thread #2
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Yannic Kilcher on Being an AI Researcher and EducatorAn interview with Yannic Kilcher, an AI researcher who graduated from ETH Zurich’s data analytics lab and is now the CTO of DeepJudge
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In which we discuss the present and future effects of deepfakes and the different ways that transformers and CNNs store representations of the data the…
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A primer on automated story generation and how it it strikes at some fundamental research questions in artificial intelligence.
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