# created ```dataview LIST WITHOUT ID file.link FROM -"windsurf" WHERE file.cday = date(this.file.name) AND !startswith(file.folder, "windsurf") SORT file.cday ASC ``` # modified ```dataview LIST WITHOUT ID file.link FROM -"windsurf" WHERE file.mday = date(this.file.name) AND !startswith(file.folder, "windsurf") SORT file.mday ASC ``` --- # [[diary and thoughts]] #thought #diary --- # Notes on AI Appreciation #paper/environmentalaestheticsofai - **The AI Problem**: Generative AI systems are explicitly designed. They have architectures, objective functions, and are trained by humans on curated datasets to achieve specific goals. This appears to be a direct contradiction. > [!NOTE] > An opponent could argue that appreciating an AI as an environment is a category error, akin to appreciating a skyscraper as a mountain. You can also use the Millière paper's discussion of _manifold learning_. The system learns the probability distribution of data on a low-dimensional manifold, a process that discovers structure rather than having it explicitly programmed. While the _goal_ is set by designers, the _path_ taken by the model through its high-dimensional space to achieve that goal is not pre-determined and exhibits environment-like complexity.