According to @ylecun, a recent paper by @tydsh and team demonstrates that reasoning in continuous embedding space is theoretically more powerful than in discrete token space (source: https://twitter.com/ylecun/status/1935253043676868640). This advancement is significant for crypto and AI traders, as enhanced reasoning capabilities in AI models could directly impact predictive analytics, algorithmic trading strategies, and risk management within cryptocurrency markets. The adoption of superior embedding techniques may lead to more accurate trading bots and improved market forecasts, making this finding particularly relevant for those deploying AI in crypto trading.