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| Source: Mastodon | Original article
A joint report released on Monday by the European Commission’s AI Observatory and the non‑profit research group AI‑Watchdog warned that the rapid proliferation of large‑language models (LLMs) is “sloping” the quality of online information. The study, titled *The Slopification of the Digital Landscape*, analysed 1.2 billion AI‑generated texts across social media, news sites and e‑commerce platforms and found a 37 percent rise in factual errors, repetitive phrasing and stylistic “noise” compared with a baseline from 2022.
The authors attribute the trend to three converging forces: the democratisation of powerful LLMs through open‑source releases such as Meta’s Llama 4, the aggressive price cuts that have made API access cheaper for mass‑scale deployment, and a lack of robust post‑generation verification tools. “When anyone can spin up a model for a few cents a thousand times a day, the incentive shifts from quality to volume,” the report’s lead author, Dr Elena Rossi, wrote. The findings echo earlier concerns raised after OpenAI’s price reduction for ChatGPT‑4, which sparked a surge in low‑cost content farms, and follow the recent investigation into AI‑generated disinformation linked to the Florida university shooting.
Why it matters is clear: as AI‑written copy floods search results, newsfeeds and product descriptions, users face a higher risk of misinformation, brand dilution and reduced trust in digital media. Regulators have already flagged the issue in the EU’s AI Act, but the report calls for immediate standards on output verification and mandatory labeling of AI‑generated text.
What to watch next are the European Commission’s forthcoming guidelines on “AI output integrity,” slated for a public consultation in June, and the industry’s response—particularly whether major providers such as OpenAI, Google and Meta will embed real‑time fact‑checking into their APIs. The next few months could determine whether the digital ecosystem can reverse the slopification trend before it reshapes public discourse.
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