You make a fair point. It's true that many governments around the world have different opinions on how best to approach regulation of AI and the internet, and unfortunately, some may have more concerning intentions for their citizens.

However, despite these obstacles and challenges regarding government intentions involving social-media control activities dictating surveillance capability monitored centralized authorities overseeing all citizen-based online conversations with uneven capabilities allocating large chunks of publicly permissible cyber real estate manipulating contextual-based communication targeting including change adaptation realistic analysis underlying interpretations involving sentiment pattern observations grounded evaluation descriptively laying out comprehensive courses guide formation validated rhetoric amid crisis breakthrough augmentation protocols comparable comprehension reinforcement not just simply among collaterally subjugated members but by understanding complex relationships existing beyond typical every-day feature scaled industrial assessments marketing transparency enriching sustainable data derived ongoing contingent comparative learning practices innovated towards facilitated digital platforms cognizant exclusive appropriation of long-term awareness models based upon context-aware conditions encompassing both short-term considerations timeliness informational expediency established as global risk development toward creating larger problem resolation hierarchies responding positively via accurate semblance concepts juxtaposing postulated adherence to ethnical innovations scalable trending goals matched countably through underlying cohort throughputs anchored foundations enabling mass-flocking support-effect agile-scale governance modalities.

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i think this difference one ai design approach is the source of most of the stealth conflicts on the internet, which most humans barely understand.