According to Myshell (@myshell_ai) and verified Upbit trading data, the Myshell AI Agent Launchpad was launched over a month ago, yet many traders missed the news during the bear market. Since $SHELL was listed on Upbit on April 16, its price has surged by nearly 74%, with a notable 42% increase just last week (source: Upbit, Myshell Twitter). This performance highlights growing trader interest in AI-powered BSC projects, especially as Myshell's official channels reveal ongoing feature rollouts and strong community engagement. For active traders, monitoring Myshell's updates and ecosystem developments is crucial for capturing future volatility and trading opportunities (source: Myshell Twitter, Upbit).

According to Jeff Dean on Twitter, Gemini's Vlad Feinberg presented slides highlighting critical scaling considerations for large language models (LLMs) that are directly relevant to AI and crypto trading strategies. Feinberg emphasized that traditional scaling law analyses often overlook practical factors such as inference cost, model distillation, and adaptive learning rate schedules, all of which directly impact the operational costs and efficiency of deploying LLMs in real-time trading environments (source: Jeff Dean via Twitter, vladfeinberg.com, 2025/04/24). For traders and quantitative analysts leveraging AI-driven strategies, understanding these overlooked parameters can help optimize algorithmic performance and reduce trading infrastructure overhead, improving profitability and risk management as AI integration in crypto markets accelerates.