According to Google DeepMind, the company has launched a free version of Gemini Code Assist designed to enhance coding efficiency globally. This tool provides 180,000 code completions per month and supports all programming languages in the public domain, making it a versatile asset for developers. Additionally, it features a 128,000 token context window, allowing for broader context analysis. This launch could influence coding productivity and potentially impact tech-related stock movements. [Source: Google DeepMind Twitter]

According to Google DeepMind, the new 2.0 Pro Experimental model significantly improves coding and complex prompt handling by utilizing a massive 2 million token context window, which enables the analysis of large datasets efficiently. This advancement is poised to impact algorithmic trading strategies by providing enhanced data processing capabilities and refined world-knowledge understanding. Traders can leverage this model to optimize decision-making processes and boost trading performance. (Source: GoogleDeepMind tweet)