In the ongoing discussion about AI, particularly large language models (LLMs) like Gemini, there's a challenging perspective regarding their capabilities and the pervasive hype surrounding them. Critics point out that while LLMs can effectively string words together based on statistical probabilities, advancements have emerged that enhance their reasoning abilities. This is demonstrated by users like the commenter who utilized Gemini to compare new monitor models without prior knowledge of them, showcasing its internet search abilities and factual accuracy. Furthermore, while there exists skepticism about fully autonomous vehicles, companies like Waymo demonstrate that partially autonomous systems are already operational. The current cooling hype around AI might foster better, more accurate portrayals of its capabilities, shifting away from overstated expectations and leading to a clearer understanding of AI's potential and limitations. Overall, there's a call for concise, impactful communication in technical writing, indicating that the industry may benefit from clearer and more innovative expressions of thought.