Artificial intelligence companies like OpenAI are exploring new training techniques to overcome the limitations of scaling up large language models. These methods aim to make algorithms "think" in more human-like ways, addressing challenges such as data exhaustion and hardware failures. This approach could reshape the AI landscape and reduce the reliance on vast amounts of data and computing power.