The role of AI in automating the global supply chain: https://www.techrepublic.com/article/ai-supply-chain-automation-global/

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How AI can help clean up plastic pollution: https://www.informationweek.com/machine-learning-ai/ai-and-the-war-against-plastic-waste

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Think of the hilarity if an AI Jesus started to hallucinate answers: https://www.theguardian.com/technology/2024/nov/21/deus-in-machina-swiss-church-installs-ai-powered-jesus

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AI generated advertisements are still not quite ready for mainstream usage: https://www.nzherald.co.nz/entertainment/coca-cola-christmas-ad-2024-cokes-ai-generated-commercials-slammed-by-consumers/YHGCFVAHY5HNPNLVJERVGUNA2E/

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AI agents are going to become more and more prevalent in business: https://www.computerworld.com/article/3609764/ai-agents-are-coming-to-work-heres-what-businesses-need-to-know.html

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A high level API layer that abstracts away a lot of the donkey work with building AI: https://techcrunch.com/2024/11/21/lightning-ai-looks-to-make-managing-ai-a-piece-of-cake/

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Large language model AI are now being applied to military tasks: https://spectrum.ieee.org/ai-used-by-military

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An analog AI chip that is much more power efficient than digital: https://spectrum.ieee.org/analog-ai-2669898661

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Quantization, a technique that makes AI more energy efficient, has a downside: https://techcrunch.com/2024/11/17/a-popular-technique-to-make-ai-more-efficient-has-drawbacks/

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AI agents are just like any other software project, you need good documentation around them or people forget what they're for: https://www.theregister.com/2024/11/21/gartner_agentic_ai/

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More progress in medical applications of AI: https://www.extremetech.com/science/microsofts-new-ai-model-can-spot-cancer-chest-infections-and-more

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