AI-Generated Homogeneity
Last night at dinner talking about subculture stuff and I bring up my standard boring/reductive Q about “how punk skate hip hop etc had monoculture to rebel against, so what now?,” and a brilliant friend answered straight up, “AI will be mainstream monoculture-esque, and is at its core boring and average and uncreative, and that is what people will... See more
While LLMs continue to devour web-scraped data, they’ll increasingly consume their own digital progeny as AI-generated content continues to flood the internet. This recursive loop, experimentally confirmed, erodes the true data landscape. Rare events vanish first. Models churn out likely sequences from the original pool while injecting their own un... See more
Azeem Azhar • 🔮 Open-source AI surge; UBI surprises; AI eats itself; Murdoch’s empire drama & the internet’s Balkanisation ++ #484
The Problem With AI That’s Too Human
Why we need to break out of skeuomorphic patterns of thinking about AI
by Rhea Purohit
DALL-E/Every illustration.
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It’s the late 1800s and a brand new horse-drawn carriage just hit America’s dirt roads. Horses are still the most popular mode of ... See more
Why we need to break out of skeuomorphic patterns of thinking about AI
by Rhea Purohit
DALL-E/Every illustration.
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It’s the late 1800s and a brand new horse-drawn carriage just hit America’s dirt roads. Horses are still the most popular mode of ... See more
The Problem With AI That's Too Human
With few exceptions, people are going to feed their AI exactly the same inward-focused requests, and we will all drown in a sea of generic material.
Ian Whitworth • The Great Same-Ening
The ultimate risk of AI
Key takeaways:
• In the future, searching on Google may be replaced by asking Google a question and receiving a direct answer.
• Language models regulated by a governing body could narrow down information and ideas to acceptable speech.
• Maintaining the reputation and trustworthiness of a source of information is important to p
... See more