Summary: Steven Johnson discusses the success of NotebookLM’s new feature that creates engaging audio conversations using AI. The breakthrough comes from the model’s ability to process a vast amount of user-uploaded information, making AI interactions more personal and insightful. He believes that as organizations leverage this long-context capability, they will significantly improve decision-making and collaboration.
Audio overviews let you sit back and listen as the AI asked its own questions. (View Highlight)
The emergence of long context models is, I believe, the single most unappreciated AI development of the past two years, at least among the general public. It radically transforms the utility of these models in terms of actual, practical applications. (View Highlight)
We know from endless studies of social psychology that diverse groups—with different forms of expertise, different pools of knowledge, different cultural backgrounds—tend to make better decisions than homogeneous groups. (View Highlight)
the model would occupy another seat at the table, adding a new kind of intelligence to the conversation, along with a vastly superior recall. (View Highlight)
In a long-context world, maybe the organizations that benefit from AI will not be the ones with the most powerful models, but rather the ones with the most artfully curated contexts. (View Highlight)