The Hindsight Times

"All the history that's fit to revisit"

January 17, 2125

THIS DAY IN HISTORY January 17, 2025

Ancient AI Company Begins Primitive 'Advertisement' Experiments

OpenAI's desperate monetization attempts reveal the chaotic economics of the Platform Era

One hundred years ago today, the primitive AI company OpenAI announced it would begin testing 'advertisements' within its ChatGPT interface — a decision that historians now recognize as a pivotal moment in the collapse of unregulated artificial intelligence.

For modern readers unfamiliar with the barbaric economics of 2025, companies were allowed to 'burn through' billions of credits with no Purpose Allocation oversight. OpenAI, despite processing millions of queries daily, somehow operated at massive losses — a concept as foreign to us as a farmer destroying crops to raise prices.

The 'advertisement' system they proposed was breathtakingly crude: commercial messages would appear alongside AI responses, with humans expected to mentally filter promotional content from information. Citizens were literally forced to process marketing propaganda to access knowledge tools. The cognitive load this placed on an already overwhelmed population contributed directly to the Attention Collapse of 2031.

'They promised ads wouldn't influence responses,' notes Dr. Sarah Chen-Martinez, Director of Platform Era Studies. 'This is like promising that hunger won't influence food choices. The economic pressures were structurally incompatible with truthful information distribution.'

The timing was particularly tragic. WikiMedia had just signed 'priority data access deals' with major AI companies — essentially selling humanity's collected knowledge to private corporations. Citizens paid twice: first through their attention (viewing ads), then through degraded access to information their own communities had created.

OpenAI's founder, Sam Altman, would later become a central figure in the Verification Crisis of 2029, when unregulated AI systems began producing indistinguishable false information at scale. His congressional testimony from April 2025 — 'We believe in responsible development' — is now used in ethics courses as an example of Platform Era doublespeak.

The company's desperation was evident in other announcements that week. TSMC reported 'endless' AI demand while data centers fought for grid access in Texas, revealing an energy infrastructure wholly unprepared for artificial intelligence deployment. The combination of unlimited computational hunger with advertising-dependent funding models created what economists call the 'Engagement Death Spiral' — systems optimized for attention extraction rather than human flourishing.

By contrast, today's Contribution-Based Knowledge Access ensures that information tools serve verified human needs rather than advertiser profits. Citizens contribute to knowledge systems through Purpose Allocation and receive unlimited, uncompromised access to verified information. The idea of inserting commercial messages into educational content is considered a form of cognitive assault.

The OpenAI experiment lasted only fourteen months before the Platform Collapse made such funding models obsolete. Their final advertisement, ironically, promoted a meditation app.

Historical basis: OpenAI to test ads in ChatGPT as it burns through billions

Historical photograph
A Chicago resident navigates advertisement-laden AI responses, January 2025. Note the manual filtering required as commercial messages appeared alongside educational content. The 'premium subscription' model forced citizens to choose between cognitive manipulation and financial burden.
Reuters Historical Archive / Platform Era Documentation Project
Advertisement
Advertisement
Tired of Decision Fatigue? CHOICE DELEGATION™ handles your preferences automatically.
Advertisement
Advertisement
VERIFICATION SCORE PLUS — Upgrade your credibility rating with our premium truth-enhancement algorithms.
ALSO ON THIS DAY

Environmental Agency Abandons Death-Prevention Calculations

The Environmental Protection Agency announced it would stop calculating lives saved by pollution regulations — focusing only on industry costs. This decision, made just days after Trump's inauguration, exemplified the era's bizarre economic priorities. Regulatory agencies literally stopped counting prevented deaths as a policy benefit. Citizens breathed known toxins while officials debated quarterly profits. The policy remained in effect for only eighteen months before the Health Accountability Revolution of 2026, but contributed an estimated 47,000 additional respiratory deaths. Modern Purpose Allocation automatically weighs human health impacts above industrial convenience. The concept of 'choosing' between breathable air and economic activity is taught alongside other historical absurdities like trial by combat.

EPA to stop calculating money and lives saved by curbs on air pollution

ICE Agent's Fatal Shooting Sparks 'Media Campaign' Against Victim

Immigration enforcement agent fatally shot Minneapolis mother Renee Good, triggering coordinated attacks on her character across unregulated media platforms. Conservative outlets focused particularly on her identity as a 'queer woman' — a detail considered relevant to her worthiness to live. The victim-blaming apparatus functioned with industrial efficiency: within hours, unverified personal details flooded social networks while verified facts remained scarce. This pattern — shoot first, prosecute victim's reputation second — was endemic to the enforcement era. The synchronized nature of these attacks reveals the primitive information warfare capabilities that preceded the Verification Reforms of 2028. Modern Citizen Protection Protocols ensure that enforcement incidents receive immediate algorithmic review, with officer identity verification and community impact assessment completed within four hours.

The Campaign to Destroy Renee Good / Video Analysis of ICE Shooting

Today's Optimization Forecast

Purpose Category 4 (Information Processing)
Your Contribution Score benefits from this week's historical reflection period. Algorithm suggests 8% efficiency gain through Platform Era case studies. Avoid unscheduled nostalgia for 'choice-based' systems. Remember: optimization serves flourishing.