The Ouroboros Effect: What Happens When AI Trains On Insecure AI-Generated Code?

Organizations need to break the infinite renewal cycle of AI learning from the flawed data of previous AI models.

LLM collapse: The danger of training LLMs on AI-generated data

Explore the risks of training LLMs on AI-generated data, revealing potential model collapse and the importance of ...

Bot web traffic has overtaken human web traffic, data shows

Traffic to websites from AI agents and bots has eclipsed human-generated web traffic for the first time.
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75% of web pages are AI-generated — why human data matters

It’s no longer surprising that AI companies rely on real human data to train and improve their models — but just how much of it they use might be. From tech giants to everyday apps, the demand for ...
Ars Technica

In the age of AI, we must protect human creativity as a natural resource

Ironically, our present AI age has shone a bright spotlight on the immense value of human creativity as breakthroughs in technology threaten to undermine it. As tech giants rush to build newer AI ...
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Introducing a single human-made data point can prevent AI models from cannibalizing themselves

While the evolution of artificial intelligence (AI) systems has shown no sign of slowing, there's a growing concern that large language models (LLMs) will soon run out of human-made data to ingest and ...
Dark Reading

AI & the Death of Accuracy: What It Means for Zero-Trust

The glut of AI-generated content could introduce risks to large language models (LLMs) as AI tools begin to train on themselves. Gartner on Jan. 21 predicted that, by 2028, 50% of organizations will ...
Forbes

Data Plateau: Hit The Scaling Wall With AI Or Remain An Innovator?

Forbes contributors publish independent expert analyses and insights. Sahar Hashmi, M.D., Ph.D., is a Boston-based, award-winning AI expert. Mar 03, 2026, 12:18am EST This voice experience is ...