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One refreshing fact about the big AI debates is how many participants are willing to invest time and energy in constructive engagement with conflicting views. It's a good thing too, because figuring out what AI will mean for the world is damn hard. https://t.co/ryEcs3GkDT
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"text": "In a new essay, @sayashk and I address common points of confusion about \"AI as Normal Technology\", try to make the original essay more approachable, and compare it to AI 2027. https://t.co/KLERWcIRZC\n\nWe will publish follow-up essays regularly as we expand our framework into a book, which we plan to complete in late 2026 for publication in 2027.\n\nWe've also renamed our newsletter, reflecting our shift in focus. We hope you follow along.",
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"ext_alt_text": "Table of contents\n\nNormal doesn’t mean mundane or predictable\n\nA restatement of our thesis\n\nIf disappointment about GPT-5 has nudged you towards AI as normal technology, it’s possible you don’t quite understand the thesis\n\nWhy it’s hard to find a “middle ground” between AI as Normal Technology and AI 2027\n\nIt is hard to understand one worldview when you’re committed to another\n\nReaping AI’s benefits will require hard work and painful choices\n\nThe surreal debate about the speed of diffusion\n\nWhy AI adoption hits different\n\nConcluding thoughts",
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