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.

According to Miles Deutscher, the integration of AI in crypto, particularly in niches like Robotics and Agents, offers significant long-term upside potential. Deutscher highlights DePAI in Robotics as a promising narrative, suggesting its potential to become a major trend. Furthermore, he notes that the potential of Agents in the crypto space has barely been tapped, indicating substantial growth opportunities. These insights underscore the importance of focusing on these niches for long-term trading strategies.

According to Milk Road, the price performance of the two largest cryptocurrency AI agent infrastructure tokens is under scrutiny for a potential recovery. The tokens have recently shown volatility, which may present trading opportunities. Milk Road notes that despite recent downturns, these tokens have strong underlying technology and market interest, which could lead to a price rebound. It is crucial for traders to monitor market trends and technological developments in these tokens for informed trading decisions.