How are you dealing with all the negative side effects of AI on the web? (lobste.rs)

Recent observations highlight growing frustration within the AI/ML community regarding the negative impacts of AI on web usability. Many users express that search engines, now saturated with low-quality content generated by AI, prioritize irrelevant links over valuable resources. This trend has led to a reliance on Large Language Model (LLM) summaries, which, while not inherently superior, sometimes at least reference quality links that are otherwise buried. Additionally, users report increased rate limiting by services like Google and DuckDuckGo, creating barriers to access and significantly hindering productivity. These shifts raise significant concerns about the integrity and efficiency of web searches, as the abundance of AI-generated content threatens to dilute genuine knowledge and practical information. The added restrictions on accessing platforms such as GitHub and the impeding presence of Anubis-like blockers exacerbate the issue, ultimately leading to increased frustration among users. This situation calls for a reevaluation of AI's role in web content generation to ensure it enhances, rather than obstructs, user experience and knowledge acquisition.