It is a documentation of process in making a presentation using ChatGPT for contents and Gemini for images. Presentation file id is 13 on note 26a62 . In the beginning both chatbots are used with single shots, but it seems that GPT-5.5 do not remember, while Nano Banana 2 is right since it is only used to generate one infographic. After 6th slide the item in contents and images are no longer synchronized.

contents

1. GPT-5.5, “Welcome to ChatGPT”, ChatGPT, 17 May 2026, url https://chatgpt.com/share/6a09950b-4368-83ec-aca5-e9c5dfb84882 [20260517].
2. GPT-5.5, “From Neurons to Intelligence”, ChatGPT, 17 May 2026, url https://chatgpt.com/share/6a099921-435c-83ec-a65f-0ede4318ebda [20260517].
3. GPT-5.5, “ANN Introductory Session Tips”, ChatGPT, 17 May 2026, url https://chatgpt.com/share/6a09a523-bbac-83ec-b2c1-333fb4b31356 [20260517].
4. GPT-5.5 , “ANN Lecture Flow Guidance”, ChatGPT, 17 May 2026, url https://chatgpt.com/share/6a09a757-d3c0-83ec-931e-663c97057d6b [20260517].
5. GPT-5.5, “ANN Intro Slide Ideas”, ChatGPT, 17 May 2026, url https://chatgpt.com/share/6a09aa80-1b88-83ec-be9b-6ec8274b91b7 [20260517].
6. GPT-5.5, “ANN as Function Approximator”, ChatGPT, 17 May 2026, url https://chatgpt.com/share/6a09acb9-aa3c-83ec-9029-4cb7ea35b1ee [20260517].
7. GPT-5.5, “ANN for Physics Students”, ChatGPT, 17 May 2026, url https://chatgpt.com/share/6a09c153-270c-83ec-a41f-c59eac08684d [20260517].

images

1. Nano Banana 2, “Artificial neural networks (ANNs) are inspired by the human brrain”, Gemini, 17 May 2026, url https://gemini.google.com/share/fdd78dbc4e6f [20260517].
2. Nano Banana 2, “From neuron to intelligence”, Gemini, 17 May 2026, url https://gemini.google.com/share/f2d024443697 [20260517].
3. Nano Banana 2, “Applications of artificial neural networks (ANN)”, Gemini, 17 May 2026, url https://gemini.google.com/share/e74a472ce5cf [20260517].
4. Nano Banana 2, “The ANN landscape: Artificial Neural Networks in AI, ML, & Deep Learning”, Gemini, 17 May 2026, url https://gemini.google.com/share/cb690e6aef07 [20260517].
5. Nano Banana 2, “Common misconcdptions about artificial neural networks (ANN)”, Gemini, 17 May 2026, url https://gemini.google.com/share/2fcc16223f2f [20260517].
6. Nano Banana 2, “Exploring Artificial Neural Networks (ANN) as Function Approximator”, Gemini, 17 May 2026, url https://gemini.google.com/share/2dac825fb2e9 [20260517].
7. Nano Banana 2, “Comparing Physics Problem-Solving Approaches”, Gemini, 17 May 2026, url https://gemini.google.com/share/7f3e6489f104 [20260517].
8. Nano Banana 2, “Bridging the gap: Computational Physics & Neural Networks (ANN) Shared Core Principle: Optimization & Finding A Minimum”, Gemini, 17 May 2026, url https://gemini.google.com/share/e411cc747821 [20260517].
9. Nano Banana 2, “Physics-Informed Neural Networks (PINNs): Bridging Data Science and Physics Laws for Scientific Modeling”, Gemini, 17 May 2026, url https://gemini.google.com/share/31f9fa45a999 [20260517].
10. Nano Banana 2, “When are artificial neural networks (ANN) better than traditional methods?”, Gemini, 17 May 2026, url https://gemini.google.com/share/dff0c4418343 [20260517].