
In the rapidly evolving landscape of artificial intelligence, a startling discovery has emerged that challenges long-held assumptions about how AI systems improve with more resources, prompting a reevaluation of conventional approaches. Researchers at Anthropic, a prominent organization focused on AI safety and development, have uncovered a perplexing issue: extending the thinking time for large language models, often referred to as










