The introduction of Gemini 2.0 significantly improves PDF ingestion tasks in various industries, notably fintech. Users have reported a remarkable reduction in processing time from 12 minutes to just 6 seconds with a 96% accuracy rate compared to traditional OCR methods. The primary strength of Gemini 2.0 lies in its multi-modal capabilities and high context window, allowing for superior performance in handling different types of PDFs without extensive prompt engineering. However, there are concerns regarding the use of AI in sensitive applications due to potential inaccuracies (e.g., handwritten text misreading) and its implications on real-world decisions. Additionally, feedback points towards the need for improved document handling systems that can incorporate object detection and specialized models for tasks like table extraction, emphasizing the importance of robust processes for accurate data extraction. Users of Gemini appreciate the ease of use and the potential to fully leverage current and future advancements in models. The community urges caution in fully relying on AI for legal or life-impacting applications until significant improvements in reliability and accuracy are ensured.