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1.6 billion tokens and 11,345 receipts to find out what I've spent on eggs since 2001.

<p>1.6 billion tokens and 11,345 receipts to find out what I've spent on eggs since 2001.</p>

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A brief observation that a carefully orchestrated pipeline of small, efficient, dedicated vision-language models was outperformed by Claude alone, illustrating the 'bitter lesson' that scaling a single large model tends to beat hand-crafted multi-model systems.

HN frontpage story today demonstrates the very brutal truth of the bitter lesson in VLMs. so many cheap, small, efficient, dedicated models, building a beautiful orchestrated pipeline of them... fell to Claude lmao

<p>HN frontpage story today demonstrates the very brutal truth of the bitter lesson in VLMs. so many cheap, small, efficient, dedicated models, building a beautiful orchestrated pipeline of them... fell to Claude lmao</p>