There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although there’s scant ...

Artificial Intelligence (AI) models could soon face a new problem as AI-generated content increasingly populates the Internet. Large language models (LLMs) such as OpenAI’s ChatGPT have relied on data ...

A recent Forbes article summarizes a potentially problematic aspect of AI which highlights the importance of governance and the quality of data when training AI models. It is called “model collapse.” ...

New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse," potentially averting growing numbers of AI hallucinations in the future.

When you see the mythical Ouroboros, it’s perfectly logical to think, “Well, that won’t last.” A potent symbol — swallowing your own tail — but difficult in practice. It may be the case for AI as well ...

AI needs human data to function effectively, but the internet is becoming flooded with AI-generated content. Artificial intelligence has revolutionized everything from customer service to content ...

The age of generative AI is here: only six months after OpenAI's ChatGPT burst onto the scene, as many as half the employees of some leading global companies are already using this type of technology ...

The excessive rise of generative Artificial Intelligence has flooded the internet with synthetic text, images, data and media ...

Artificial intelligence (AI) prophets and newsmongers are forecasting the end of the generative AI hype, with talk of an impending catastrophic “model collapse”. But how realistic are these ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. There is an ongoing and quite heated debate that generative AI ...

Artificial intelligence prophets and newsmongers are forecasting the end of the generative AI hype, with talk of an impending catastrophic “model collapse.” But how realistic are these predictions?