Dentro i “pensieri privati” di un LLM: J-Space, Global Workspace e cosa cambia davvero per chi sviluppa

Recent findings in the inner workings of large language models (LLMs) reveal a structured internal area called "J-Space" within the global workspace, offering a peek into how control and planning processes occur in transformers. This discovery moves beyond the traditional view of LLMs as impenetrable black boxes, suggesting there's a relatively organized component that influences how these models generate text. This insight could significantly impact how developers design and optimize LLMs, potentially leading to more efficient and better-performing models.