The rise of AI tools like ChatGPT is transforming online searches, with users finding answers conversationally rather than through traditional search engines like Google. Critics warn of potential dangers such as diminishing original web content, leading to inaccuracies and a phenomenon termed 'model collapse'. Studies indicate a potential shortage of human-generated data for AI between 2026 and 2032. Despite these concerns, experts suggest new practices to enhance source credibility, while social media remains a significant outlet driven by human curiosity.
Online search has changed in the ChatGPT era, allowing users to query AI directly instead of using traditional search engines like Google.
Critics warn that as AI-driven content generation proliferates, the original web content may diminish, leading to amplified inaccuracies and biases.
Cornell suggested that if LLMs continue developing as they are, they might exhaust human-generated data by 2026 to 2032.
Bharath Thota highlights that while AI changes search methods, social media will thrive due to our natural curiosity and companies will still seek an online presence.
Collection
[
|
...
]