According to @deanmlittle, the perception that assembly programming is too difficult is shifting as more developers embrace low-level optimization in blockchain platforms (source: Twitter, June 1, 2025). This trend has direct implications for cryptocurrency traders, as enhanced smart contract efficiency on blockchains like Ethereum can lead to faster transaction speeds and lower gas fees. Traders should monitor projects leveraging assembly for technical improvements, which could impact on-chain activity and token performance.

According to Google DeepMind, AlphaEvolve, a new Gemini-powered coding agent, can design faster matrix multiplication algorithms, solve open math problems, and improve data center, chip design, and AI training efficiency across Google (source: @GoogleDeepMind, May 14, 2025). For traders, these advancements could accelerate AI-driven crypto trading strategies and increase blockchain efficiency, potentially impacting transaction speeds and costs on major networks as AI optimization becomes more accessible.