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underestimating-ai: edit (#27)
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posts/underestimating-ai.md

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@@ -12,7 +12,7 @@ the emergence of a new non-biological form of intelligent life.
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And yet, it doesn't feel like it.
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There's no cinematic score, no blinking AGI warning light. Just Slack threads, ,
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There's no cinematic score, no blinking AGI warning light. Just Slack threads,
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blog posts, and conference panels. It reminds me of witnessing childbirth -
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profoundly transformative, with some shocking moments, but also lots of mundane
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time waiting around.
@@ -30,14 +30,15 @@ misunderstanding of what AI has become.
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Machine learning - now rightly called AI - is a deeply general-purpose field.
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The same core techniques behind Midjourney and GPT share research lineage, and
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often architecture. This isn't a stack of isolated tricks. It's one evolving
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system architecture applied across language, vision, simulation, reasoning, and
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system architecture applied across language, vision, reasoning, robotics, and
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more.
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These systems are built on a mountain of science: decades of research, countless
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failed experiments, and thousands of contributors.
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([I've even contributed a few failures myself.](https://tinyclouds.org/residency))
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And we haven't found the limits yet - these models can already simulate physical
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phenomena, generate high-definition video, and write deeply technical software.
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And we haven't found the limits yet - these models can already translate
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language, write poetry, generate high-definition video, and write deeply
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technical software, and so much more.
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Mobile technology was transformative. But general-purpose synthetic intelligence
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is something else entirely.

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