Subsidies for Rolls-Royce might seem a bit rich, but they are inevitable | Nils Pratley

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The resulting script is available here, and it worked first try to scrape up to 20,000 videos (the max limit). The resulting Python script has very Pythonic code quality following the copious rules provided by the AGENTS.md, and it’s more robust than my old script from 2021. It is most definitely not the type of output I encountered with Sonnet 4.5. There was a minor issue however: the logging is implemented naively such that the API key is leaked in the console. I added a rule to AGENTS.md but really this is the YouTube API’s fault for encouraging API keys as parameters in a GET request.

The TLB lookup is combinational -- it evaluates in the same half-cycle as the limit check, requiring no additional clock. The common case (TLB hit, no page boundary crossing) adds zero overhead to a memory access. This is why the Segment Descriptor Cache and Page Cache (TLB) together occupy such substantial die area -- they are the fast path that makes protected mode competitive with real mode.

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Most digital images intended for viewing are generally assumed to be in sRGB colour space, which is gamma-encoded. This means that a linear increase of value in colour space does not correspond to a linear increase in actual physical light intensity, instead following more of a curve. If we want to mathematically operate on colour values in a physically accurate way, we must first convert them to linear space by applying gamma decompression. After processing, gamma compression should be reapplied before display. The following C code demonstrates how to do so following the sRGB standard:

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