Learning from ChatGPT

#3816 Songer.com "Desert Sunset Dreams" https://songer.co/songs  --  https://sites.google.com/view/benorden/home/songer_co_songs Desert Sunset Dreams --  https://songer.co/song/ik4ks9kaiged5zvm515q3jez Whispers of the Canyon --  https://songer.co/song/s9vt2lpliuan7z2lrzy0ur1d Whispers of the Redwood --  https://songer.co/song/uh4ehvtuk1crmcyypf1c9g9a #3816  I just used Songer.co to create a song with the prompt "Desert sunset with lightning on the horizon" as instrumental and vocal. Suggest 25 additional nature themed songs to write. That sounds like a beautiful and evocative starting point! A desert sunset with lightning offers so much dynamic contrast. Here are 25 additional nature-themed song prompts, designed to inspire diverse instrumental and vocal pieces, just like the one you created: Landscapes & Sky Arctic Tundra in Perpetual Twilight: A vast, frozen, silent landscape under a sky that is neither day nor night. Bioluminescent Forest Floor: ...

#3815 AI Studio: Interactive Voxel Designer    #3815  Consider the parameters shown. Describe how I can use text from articles to set the parameters That's a clever idea! You can set the parameters in the Interactive Voxel Designer shown in the image by converting various textual properties from an article into numerical values that correspond to the sliders and input boxes. Here's a breakdown of how you could use text from articles to set the parameters: Text-to-Parameter Mapping You would need a systematic method to map text characteristics to the parameters. Here are some possible mappings: Parameter Possible Text Metric from Article Rationale Voxel Size Average word length (e.g., number of characters per word) Longer words (higher value) could mean a larger voxel size. Gap Average sentence length (e.g., number of words per sentence) Longer sentences could create a larger gap between voxels. Width (X) Total number of paragraphs A simple count to set one of the dimen...

#3814 Comparing an Innovation Think Tank to Farming #3814  Discuss the similarity between farming and an innovation think tank The similarity between farming and an innovation think tank lies primarily in their shared principles of iterative experimentation, adaptation, and a focus on generating practical, sustainable outcomes in a complex environment. Here is a breakdown of the key parallels: 1. Iterative Experimentation and Feedback Loops Farming: A farmer continually experiments with different seeds, soil treatments, irrigation methods, and planting schedules. Success is not guaranteed; they observe the results, get immediate feedback from the crops and ecosystem, and adapt their methods for the next season or even the next day. This is a constant cycle of test, observe, learn, and adjust. Innovation Think Tank: The process of innovation involves developing prototypes, launching pilot programs, and testing new ideas or policies. A think tank requires constant feedback loops ...