Investing in Big Language Models

The speakers discuss the uncertainty and potential of investing in large language models, such as the foundation models driving open AI. They compare the current situation to the search engine market in the late 1990s and early 2000s, highlighting the difficulty in predicting which models will emerge as the dominant players. They also mention the challenges of choosing a single foundation model and how the largest one is tied to Microsoft. Despite these complexities, they believe that investing in this space has significant potential and will lead to the emergence of big winners. They emphasize the transformative impact of the transformer model.