According to AI at Meta, the FAIR research team has released Part 4 of the Physics of Language Models series, following the success of their ICML 2024 tutorial (source: @AIatMeta, May 13, 2025). This installment challenges current language model architecture designs through controlled, scientific experimentation, aiming to uncover universal laws of AI. For crypto traders, this advancement signals increased credibility and future adoption of AI-driven blockchain and DeFi projects, potentially influencing the value and volatility of AI-powered crypto tokens such as FET, AGIX, and RNDR. The release may also drive market sentiment around AI-related cryptocurrencies as institutional attention grows.

According to @TheEconomist, DeepSeek's R1 model represents a significant advancement in AI, but @ylecun emphasizes the need for new architectures to address current limitations. These developments could influence trading algorithms that rely on AI for market analysis. Traders should be aware of potential shifts in AI capabilities that may impact trading strategies.