The Real Reason AI Company's Are Tapping the Brakes (Hint: It’s Not Safety)
There is an uncomfortable, open secret inside the labs of San Francisco, London, and Seattle: The AI revolution is running out of original data.
For the last seven years, the unprecedented scaling of Large Language Models followed a simple formula: throw more GPUs at more scraped text. The public internet was treated like an infinite, free aquifer of human cognition. Every forum post on Reddit, every scanned library book, every GitHub repository, and every niche hobbyist blog was pumped into massive distributed clusters to teach machines how to think.
That era is over.
We have effectively reached the bottom of the public data reservoir. Research institutes like Epoch AI have warned that the world’s supply of high-quality, human-generated public text will be completely depleted between 2026 and 2028.
There is no more pristine internet left to scrape. A great example. I texted my friend group a picture of my beer...
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