I said no and Apple said yes
summary
Apple has systematically removed user options to opt out of AI features in macOS, forcing these tools on users regardless of their explicit preferences. This pattern reflects a broader trend in the AI industry where corporate interests prioritize data collection and feature adoption over individual privacy and consent. By hiding settings and maintaining background processes, Apple treats user autonomy as an obstacle rather than a right. Consequently, the integration of AI into operating systems becomes an act of coercion rather than a service.
key points
- Apple removed the explicit 'no' switch for Apple Intelligence in newer macOS versions, effectively ignoring previous user opt-outs.
- Despite disabling Siri and AI settings, system processes continue to run in the background and consume significant disk space without user permission.
- The wider AI industry operates on a foundation of non-consent, utilizing theft and privacy invasion to fuel growth and inflate a corporate bubble.
who should read it
Privacy-conscious Mac users and individuals concerned with the ethical implications of forced AI integration in consumer electronics.
discussion skeptical
consensus
Commenters generally agree that every operating system has 'sharp edges' and significant flaws, whether they are technical bugs in Linux or intrusive bloat and telemetry in Windows and macOS. While Linux offers more ownership and transparency, users are divided on whether its technical instability and steep learning curve are a fair trade-off for avoiding corporate control. Ultimately, the discussion suggests that the choice of OS depends on whether a user prefers fighting technical glitches or enduring corporate coercion.
top insight
One user argues that there is a fundamental difference between 'bloat' (things you ignore) and 'blockers' (problems that prevent you from working), suggesting people tolerate corporate bloat more because it doesn't break core functionality. This perspective shifts the debate from a list of bugs to a psychological analysis of how users perceive different types of system failures.
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