According to Google DeepMind, the upcoming Gemini 2.5 Pro AI model is receiving an update before its general availability, with notable improvements in coding, reasoning, and creative writing (source: Google DeepMind, June 5, 2025). These advancements are expected to accelerate the development of AI-driven trading bots and smart contract automation within the cryptocurrency sector, potentially increasing efficiency and algorithmic trading volumes across leading crypto exchanges.

According to DeepLearning.AI, researchers have demonstrated that large language models (LLMs) can be trained using 4-bit FP4 precision for matrix multiplications, which account for 95% of training computation, without any loss of accuracy compared to the standard BF16 format. This breakthrough dramatically reduces computational requirements and hardware costs, potentially accelerating AI-powered blockchain and cryptocurrency analytics platforms by lowering entry barriers for decentralized AI projects (Source: DeepLearning.AI, May 31, 2025).