In a digital age where information is at our fingertips, the way we search for it is undergoing a seismic shift. A recent discussion on Hacker News titled “Ask HN: Do you still use search engines?” has sparked a lively debate about the evolving landscape of online search. As AI and Large Language Models (LLMs) like ChatGPT become more integrated into our daily routines, users are beginning to question the relevance of traditional search engines like Google. While some embrace AI for its conversational and comprehensive responses, others remain cautious, highlighting the enduring importance of search engines for tasks requiring precise and verifiable information.

Meta’s LLaMA 4 is making waves in the artificial intelligence world, but not just for its performance. Accusations have surfaced that the company’s newest large language model may have been trained on benchmark datasets like MMLU or HellaSwag, calling into question the legitimacy of its impressive scores. Meta denies any manipulation, but the controversy has reopened a broader debate around LLM benchmarking, transparency, and AI model evaluation standards.