This week I come across the AI fashion week debut in NYC. Followings the related articles and interview clips, it is fascinating to see every process automated entirely by AI, from cloth designing to stage set-up. The quality is phenomenal to the extent that I initially think it is a Vogue editorial. Personally, it is an interesting observation because this content substitutes the involvement of human labor. For example, it replaces the photographers to capture the atmosphere backstage. You can review the show’s images in the attached link:

Here is the page of the event: https://fashionweek.ai/

FAQ: https://fashionweek.ai/faqs/ 

I look up FAQs and discover two requirements: contestants need to “facilitate the reproduction and sale of your collection” and the final quality is aligned with Vogue’s. Therefore, I guess the contestants extract samples from trendy fashion collections and prompt them in machine learning. They then organize the output images in a linear order that matches the theme of their collection. However, it is questionable whether the use of AI might be considered ethically creative as far as in the garment industry.

We are able to explore new creative directions for our inaugural sketch, from a series of Tweet threads to interactive mediums such as TV news. As far as we develop, it widens the available options with the tools in hand. For example, we can stimulate a podcast focusing on the issue or even recreate it in the form of TV news. However, it strikes a problem that we have not agreed on the medium. Therefore, everybody comes out with different sketches.

We hope that for future work, we get familiar with the technological options provided. For instance, I am interested in the collaboration feature of Reduct where we can create a design-thinking framework. In Eleven Labs, the voice synthesis has a paid subscription feature for integrating real-life voice

For this week’s video, I am particularly enthusiastic about how Simon Willison demystifies the complexity of machine learning concepts. He does not use jargon in explanations but rather compelling language with interactive visuals. For example, when he illustrates how LLMs actually work, he brings out the Apple auto-translator to break down the similarities in AI topics. One key principle that hooks me is when he shows interactive methods with AI. He blatantly zeroes in on the AI’s lacking in which hallucination turns into obviousness. He recommends we understand how the model works and learn the hard lesson that the iterative process will be never polished. As a result, we have to be the deliberate moderator of the companionship with AI.

Here is the link to my Week #4 sketch (please use RMIT account to access):

https://drive.google.com/file/d/1OwNd7RGXziUBp9DQEVcnUN1IU-IUZWu-/view?usp=sharing