According to Jeff Dean, today's Gemini 2.5 Pro update addresses several function calling issues reported since the 03-25 initial release (source: Jeff Dean on Twitter, May 6, 2025). This improvement is expected to enhance the reliability and execution of AI-driven trading strategies that leverage Gemini for algorithmic decision-making. Crypto traders utilizing Gemini's APIs may experience reduced error rates and faster deployment, potentially impacting high-frequency trading and automated arbitrage across major cryptocurrencies.

According to Andrew Ng, the new aisuite capability simplifies function calling with large language models (LLMs), an essential feature for agentic workflows and various LLM applications. This development could enhance efficiency for developers by reducing complexity in tool usage, potentially impacting the speed and effectiveness of AI-driven trading algorithms [source: Andrew Ng Twitter].