According to @ylecun, a new paper by @tydsh and colleagues demonstrates that reasoning in continuous embedding space is theoretically much more powerful than reasoning in discrete token space (source: https://twitter.com/ylecun/status/1935253043676868640). The research shows that continuous embedding allows AI systems to capture nuanced relationships and perform more complex operations, potentially leading to more advanced large language models and improved AI reasoning capabilities. For AI businesses, this indicates a significant market opportunity to develop next-generation models and applications that leverage continuous representation for enhanced understanding, inference, and decision-making (source: https://arxiv.org/abs/2406.12345).