The Gradient cuts through the hype and the cynicism to provide accessible, sophisticated reporting on the latest AI research. https://xitter.cf/t.co/XJqypG82jD

Stanford, CA
Joined January 2018
New essay from @peligrietzer: What follows for AI alignment if we take the concept of eudaimonia — active, rational human flourishing — seriously?
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What do disembodied notions of AGI miss? @superspeeg writes: “Instead of trying to glue modalities together into a patchwork AGI, we should pursue approaches to intelligence that treat embodiment and interaction with the environment as primary, and see modality-centered processing as emergent phenomena.”
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We hear a lot about “beneficial AI” or AI “aligned with human values” — but what does this mean and how do we get there? @joelbot3000 and @manda_ngo write: thegradient.pub/we-need-posi…
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🎙️ How do the statistics and ML communities differ? What does current research in trend filtering and conformal prediction look like? @spaniel_bashir speaks with Professor Ryan Tibshirani.
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How can we measure and compare the environmental impacts from modern ML systems? Do "moral benchmarks" make any sense? @spaniel_bashir speaks with @SashaMTL.
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🎙️ What does an AI-powered email client look like? @spaniel_bashir speaks with @startupandrew.
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🎙️ How can data engines be used to improve model performance? @spaniel_bashir speaks with @goldenkatepark, Director of Product at @scale_AI.
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🎙️ How is ML used in quantitative trading and investing? How can we effectively use data to impact public policy? @spaniel_bashir speaks with Ben Wellington.
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🎙️ Will our current monolithic scaling paradigm run into a brick wall? Why are protocols important for future AI advances? @spaniel_bashir speaks with Venkatesh Rao @vgr.
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🎙️ What is the state of research on alternative architectures to the transformer? How do NLP researchers think about efficiency techniques? @spaniel_bashir speaks with @srush_nlp.
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