😀 Based on my experience, in the field of PPT generation, the improvement of the model's own capabilities has far surpassed the value of designing various workflows or agents. It's like an exceptionally capable intern — you only need to explain the core task, and it hands in a surprisingly impressive result, while those elaborate process designs are like unnecessary reins on a genius.

📝 The NanoBanana Model Is Truly Powerful

I saw a fellow user on Linux.do testing the latest version of Nano Banana. When it comes to generating memes, NanoBanana displays an almost innate sense of internet culture — it seems to have a deep understanding of the subtle context of contemporary social media and can precisely capture those fleeting trends and emotions. In text generation, it behaves more like a meticulous typist: every word stays in its proper place, and paragraphs maintain just the right breathing room.

However, when I tried generating knowledge cards, the results weren't that impressive. That might be because the prompt wasn't written well — after all, it was just a quick casual test.

NotebookLM's PPT Generation Is Also Impressive

First Attempt: Free Rein

I randomly picked a book from my local files, choosing one titled "Large-Scale Language Models: From Theory to Practice," and selected the presentation option in NotebookLM to generate it. The result is shown below: