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Why might actual usage fall short of theoretical capability? Some tasks that are theoretically possible may not show up in usage because of model limitations. Others may be slow to diffuse due to legal constraints, specific software requirements, human verification steps, or other hurdles. For example, Eloundou et al. mark “Authorize drug refills and provide prescription information to pharmacies” as fully exposed (β=1). We have not observed Claude performing this task, although the assessment seems correct in that it could theoretically be sped up by an LLM.
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I have not modified init files extensively, but Android’s init is a decent init system, which can start a system service (what is usually called an Android HAL in the documentation) and restart it when it crashes.
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That means Option must store an explicit discriminant.