Initially, models like ChatGPT's base versions and even early Gemini iterations primarily operated with a knowledge cutoff, meaning their training data only extended up to a certain date and they lacked direct real-time internet access. However, both platforms have evolved significantly; ChatGPT Plus users can now access real-time browsing capabilities through integrations or specific plugins, allowing it to retrieve current information. Similarly, Google Gemini, especially given its origins within Google, often leverages Google Search in real-time to provide more up-to-date responses. This means that while their foundational models might have static knowledge, their current implementations often provide dynamic access to the latest information, albeit through different mechanisms. Therefore, the answer is nuanced: modern iterations of both AI models can indeed access and process real-time data, moving beyond their initial training data limitations. More details: https://www.af-ad.co.uk/adclickthru.php?url=4mama.com.ua