tag > Media
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Anthropocentric Bias
The phenomenon where humans inherently overvalue things simply because a human made them—or demand more human control over AI media—is called the anthropocentric bias.
Related is The Labor Illusion (Effort Justification) - a cognitive bias where humans equate visible effort with quality and value - and the The IKEA Effect - a behavioral economic principle where consumers place a disproportionately high value on products they partially created or assembled themselves.
All coupled with Algorithm Aversion - The documented tendency for humans to deeply mistrust and over-scrutinise automated systems, even when those systems demonstrably outperform human capabilities.
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120 years of cinema, 5,000 years of science, and the birth of super-intelligent AI...Only for us to scroll past art to watch brain-rotting slop that targets our oldest evolutionary instincts. As E.O. Wilson said: “We have created a Star Wars civilization, with Stone Age emotions.”
“To slop, or not to slop, that is the question” - William Slopspeare
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AI-generated books are on the rise. The slop-ification of culture accelerates.
The Economist: AI has pushed the internet’s content machine into a new phase, with books, lawsuits, research papers, apps, and songs now being produced at volumes that old review systems were not built to handle.
Amazon e-book releases rose from about 100,000 a month before ChatGPT-3.5 to roughly 300,000 by late 2025, and detection tools suggest AI-generated text drove much of that jump.
US self-filed civil lawsuits doubled to 41,000 from 2023 to 2025, with 18% of sampled 2026 complaints flagged as AI-written, yet their success rate did not fall.
Research is seeing the same pressure, as arXiv submissions keep rising, rejection rates have more than doubled since 2023, and one study found 57% of 2025 papers carried AI-influenced language, up from 12% in 2023.
Coding agents have also changed software output, with new iOS App Store releases now above 100,000 a month after sitting below 50,000 last May.
In Music production, 75,000 AI songs are arriving daily, up from 10,000, while 44% of new uploads are AI-made and 97% of listeners in one survey could not reliably tell the difference.
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Synthetic Solipsism
Source: Talk: MIT Media Lab: David Rudnick - Context - #Generative #Media #Business
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Marshall McLuhan noted that the content of any new medium is always an older medium—like early cinema merely filming theater. Today, AI cinema is trapped in that exact same loop, emulating traditional filmmaking structures before it inevitably discovers its own native form.
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On the ever evolving shape of "Advertising"
If traditional advertising was a creative art studio, modern digital advertising is an algorithmic trading floor. The "heart" of advertising has shifted permanently from Madison Avenue creative agencies to Silicon Valley data pipelines.
In the old world, the heart of advertising was the "Big Idea"—a memorable television commercial, a brilliant billboard, or a catchy jingle. Success was measured by cultural impact and brand awareness.Today, the heart of advertising is the Data Feedback Loop. The core engine of a modern business isn't the ad asset itself; it is the infrastructure that allows an ad platform's machine learning engine to talk directly to a company's product database.
The ultimate, invisible layer of the digital advertising ecosystem is summarized by a well-known industry open secret: The global commercial advertising infrastructure is, by design, the most sophisticated mass-surveillance network ever created.Intelligence agencies like the NSA do not need to build their own bespoke tracking networks from scratch. They can simply intercept, purchase, or legally compel access to the massive pipelines of real-time user data generated by the digital advertising world every single second.
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Deezer says 44% of songs uploaded to its platform daily are AI-generated
Deezer announced on Monday that AI-generated tracks now represent 44% of all new music uploaded to its platform. The company said it’s receiving almost 75,000 AI-generated tracks per day and more than two million per month.
The consumption of AI-generated music on the platform is still very low, at 1-3% of total streams, and 85% of these streams are detected as fraudulent and demonetized by the company.
The latest figure from Deezer highlights a continuous surge in AI-generated music uploads to the platform. Deezer reported receiving around 60,000 AI tracks per day in January, up from 50,000 in November, 30,000 in September, and just 10,000 in January 2025, when it first launched its AI-music detection tool.
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canonical_waitress_martha_1774816556
canonical_informant_leo_1774863003
canonical_julian_1774863001
canonical_the_clerk_1774875219
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My 2027 Generative AI Media Prediction: The Great Convergence
Since 2017, my core prediction has remained unchanged. Now, as we approach 2027, the pieces are finally in place for it to become reality. Here it is:
By 2027, high-quality, real-time AI generation of all digital modalities—video, audio, text, and 3D—will hit early mainstream adoption. Major players will roll out the foundational platforms.
This technological leap will trigger a chain reaction, collapsing four distinct media forms (Video Games, Streaming Video & Film and the Creator Economy) into one new, dominant category.
What emerges won't be a simple hybrid. It will be a new media form: an immersive, hyper-customized, and interactive story-space. Imagine a narrative experience that is part blockbuster film, part open-world game, and part creator-driven universe—all uniquely tailored to you in real-time.
This convergence may start as a niche, but its growth will be explosive. It will rapidly eclipse all legacy media forms in scale, cultural impact, and economic value. The walls between playing, watching, and creating are about to vanish. Mark my words.
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AI Content Flywheel
While all major blogging/CMS platforms are focused on traditional human-centeric workflows, the AI Content Flywheel is taking off vertically and demands new concepts and interfaces.
Data layer
class AnalyticsStore:
def get_top_posts(self, period="90d") -> List[PostMetrics]
def get_tag_trends(self) -> Dict[str, TrendData]
def get_post_characteristics(self, path: str) -> PostAnalysisAnalysis layer
def analyze_content_patterns():
top_posts = analytics.get_top_posts()
return {
"optimal_length": avg([p.word_count for p in top_posts]),
"best_tags": most_common([t for p in top_posts for t in p.tags]),
"title_patterns": extract_patterns([p.title for p in top_posts]),
"best_publish_day": most_common([p.date.weekday() for p in top_posts])
}Content generation prompts
# When generating content, include context:
system_prompt = f"""
You are helping write content for siteX:
AUDIENCE INSIGHTS:
- Top countries: USA (45%), Germany (12%), UK (8%)
- Best performing tags: {analytics.top_tags}
- Optimal post length: ~{analytics.optimal_length} words
CONTENT GAPS:
- Last post about "{gap_topic}": {days_ago} days ago
- This topic has shown {trend}% growth in similar blogs
SUCCESSFUL PATTERNS ON THIS BLOG:
- Titles that include numbers perform 2.3x better
- Posts with code examples get 40% more engagement
- Tuesday/Wednesday publishes outperform weekends
"""Automated A/B testing
You get the picture...
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Apologize for the interruption. Was busy with client work. The blogging will now continue.
