Tag: algorithms
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Beneath the free-market rhetoric, Washington actually intervenes to control the building blocks of AI systems https://www.theguardian.com/commentisfree/2025/oct/23/us-artificial-intelligence-regulations more ›
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In order to understand the profound transformations, and boundless potential, unleashed by artificial intelligence, we need to expand our own intellectual horizons into the realms of history, the natural world,… more ›
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In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational limits. https://www.computerworld.com/article/4059383/openai-admits-ai-hallucinations-are-mathematically-inevitable-not-just-engineering-flaws.html more ›
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Reproducibility is a bedrock of scientific progress. However, it’s remarkably difficult to get reproducible results out of large language models. For example, you might observe that asking ChatGPT the same… more ›
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We’re used to algorithms guiding our choices. But when machines can effortlessly generate the content we consume, Joshua Rothman asks, what’s left for the human imagination? https://www.newyorker.com/magazine/2025/09/01/ai-is-coming-for-culture?currentPage=all more ›
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An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT. https://poloclub.github.io/transformer-explainer/ more ›
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In order to understand the profound transformations, and boundless potential, unleashed by artificial intelligence, we need to expand our own intellectual horizons into the realms of history, the natural world,… more ›
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The world’s leading mathematicians were stunned by how adept artificial intelligence is at doing their jobs https://www.scientificamerican.com/article/inside-the-secret-meeting-where-mathematicians-struggled-to-outsmart-ai/?utm_source=substack&utm_medium=email more ›
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Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes… https://machinelearning.apple.com/research/illusion-of-thinking more ›
