In the pilot episode of Max Headroom, Network 23 invents "blipverts"—advertisements compressed into a few seconds of high-intensity imagery. They're designed to bypass conscious resistance and implant brand messages directly into viewers' minds. There's just one problem: occasionally, they make sedentary viewers explode.
It's absurd, obviously. But strip away the exploding couch potatoes, and the core concept is disturbingly familiar. We've built systems designed to capture attention at any cost, optimizing for engagement without regard for human wellbeing. The blipverts didn't kill us. They just broke our attention spans, polarized our politics, and rewired our reward circuits.
The Engagement Trap
Modern recommendation algorithms are blipverts that don't stop. TikTok's For You page serves content optimized through millions of A/B tests to maximize time-on-app. YouTube's autoplay selects videos that keep you watching, not videos that inform or enrich. Facebook's news feed prioritizes content that generates reactions—and outrage generates more reactions than anything else.
These systems weren't designed to harm users. They were designed to optimize metrics. The harm is a side effect—what economists call an externality. The algorithm doesn't know or care that it's promoting misinformation, radicalizing teenagers, or destroying attention spans. It just knows that certain content keeps eyeballs on screens.
Network 23's Real Legacy
In Max Headroom's dystopia, Network 23 controls everything. Ratings determine not just programming but politics, resource allocation, and social status. The network executives aren't evil—they're just following incentive gradients that happen to lead somewhere terrible.
Sound familiar? Meta's internal research showed Instagram was harmful to teenage girls' mental health [1]. They published the findings and changed nothing, because the metrics were going up. YouTube's recommendation system was documented promoting conspiracy theories and extremist content [2]. They tweaked it around the edges while protecting watch time.
The Max Headroom writers understood something important: you don't need malicious actors to create dystopia. You just need systems that optimize for the wrong things at sufficient scale.
Attention as a Resource
The attention economy treats human cognition as a resource to be extracted [3]. Every notification, every infinite scroll, every autoplay video is designed to capture and hold attention that might otherwise go to family, work, creativity, or rest.
This isn't sustainable. Attention is finite. When every app, every platform, every service competes for the same limited resource, the result is a race to the bottom. The most aggressive extractors win, and users—people—lose.
Building Ethical Engagement
At Cognition Stream, we believe AI systems should serve users, not extract from them. That means:
Alignment with user goals: Systems should optimize for what users actually want to accomplish [4], not for time-on-platform metrics that serve advertisers.
Transparency about optimization: Users should understand what systems are optimizing for and have meaningful control over those objectives.
Attention budgeting: Responsible systems should help users manage their attention, not deplete it. Features like usage dashboards and break reminders aren't PR—they're ethical requirements.
External cost accounting: The true cost of engagement optimization includes mental health impacts, social fragmentation, and democratic erosion. Companies should measure and minimize these costs, not externalize them.
Off Switch
Max Headroom existed inside television screens. He couldn't escape the network. Modern recommendation algorithms have no such constraint—they follow us through every device, every platform, every moment of our lives.
The blipverts were dangerous because viewers couldn't look away. Our challenge is building systems that don't demand constant attention, that respect cognitive limits, that optimize for human flourishing rather than engagement metrics.
The future doesn't have to be twenty minutes away. But only if we stop building blipverts.