Nano Banana Pro could already generate images so realistic, it’s almost impossible to tell that they were AI-generated. Google even had to limit its use due to high demand. Whether Nano Banana 2 can generate images that are markedly better than what Pro could create — and whether we could still tell if an image was made by AI — remains to be seen. The new model will replace Nano Banana Pro in the Gemini app, but Google AI Pro and Ultra subscribers will retain access to Nano Banana Pro for specialized tasks. It will also be the default model in Search for AI Mode and Lens, as well as in Google’s Flow AI creative studio.
In coming up with a generalized solution, our goal was to minimize the required changes to the C++ Unreal game client code. The most obvious way to approach this problem might appear to be to create new exported DLL functions for each backend API that needs to function offline. Instead, we created a single new exported DLL function called ProcessHttpRequest. This function takes in a struct representing a standard HTTP request and returns a struct representing a standard HTTP response. We started referring to this system with the tongue-in-cheek name “serverless service” and it stuck.
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谷歌近日发布了2025年度热搜排行榜，人工智能技术突破、体育赛事对决与知名公众人物成为备受关注的话题，展现了全球民众当下关注的信息动态、文化趋势与各类关切。
The monthly analysis gave me an idea: could Opus 4.5 design a small webapp to view the top videos by month? That gives me the opportunity to try another test of how well Opus 4.5 works with less popular frameworks than React or other JavaScript component frameworks that LLMs push by default. Here, I’ll try FastAPI, Pico CSS for the front end (because we don’t need a JavaScript framework for this), and HTMX for lightweight client/server interactivity: