> For the complete documentation index, see [llms.txt](https://carla-gannis.gitbook.io/visual-ai-studio-for-art-and-technology/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://carla-gannis.gitbook.io/visual-ai-studio-for-art-and-technology/weeks-schedule/week-05-or-oct-7.md).

# Week 05 | Oct 7

<figure><img src="/files/xmCWjSU2ogre2tc0kYoW" alt=""><figcaption><p>Lynn Hershman Leeson: Moving Image and AI Innovator - a presentation of her work at MoMA in Spring 2024</p></figcaption></figure>

## IN CLASS

**AI RELATIONSHIPS AND EXTENDING REALITY**

* **Discussion**
  * Alex unpacks The Sandman
* **Crits of Remixes and Do Something, Do Something Else**
* **Presentation**
  * Carla:[OUR AGE OLD FASCINATION WITH AUTOMATA & THE POTENTIAL OF AI RELATIONSHIPS](https://docs.google.com/presentation/d/e/2PACX-1vStE_vA4C9msih5iAda4Kb7Pnr_HR0Yg9pKk6V7bkAsAPoMYgRnObNo6_DMszuRXg/pub?start=false\&loop=false\&delayms=600000\&slide=id.p3)

## ACTIVITIES 05

* **READ** Walter Benjamin [Art in the Age of Mechanical Reproduction](https://drive.google.com/file/d/1xsFkicoGjNJ-8Y011YCduQyneLPu6w95/view?usp=drive_link)
* **WRITE** an initial two paragraph response to the Benjamin reading OR your own Creation 05, below  **\[post to the Discord, also share as a doc in your folder on the class google drive**]
* **CREATION 05** [How Do I Love Thee, Let me Count the Prompts ](/visual-ai-studio-for-art-and-technology/creations/05-how-do-i-love-thee-let-me-count-the-prompts.md)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://carla-gannis.gitbook.io/visual-ai-studio-for-art-and-technology/weeks-schedule/week-05-or-oct-7.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
