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There’s a secondary pro and con to this pipeline: since the code is compiled, it avoids having to specify as many dependencies in Python itself; in this package’s case, Pillow for image manipulation in Python is optional and the Python package won’t break if Pillow changes its API. The con is that compiling the Rust code into Python wheels is difficult to automate especially for multiple OS targets: fortunately, GitHub provides runner VMs for this pipeline and a little bit of back-and-forth with Opus 4.5 created a GitHub Workflow which runs the build for all target OSes on publish, so there’s no extra effort needed on my end.
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Anthropic said some of the essays the model writes may be informed by "very minimal prompting" or past entries, and has predicted everything from essays on AI safety to "occasional poetry." The company also admitted that the concept might be seen as "whimsical," but is a reflection of its intention to "take model preferences seriously."
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