While most music generated by transformer-based models inevitably produces a perception of inexplicable "soullessness" that is behind most of the AI hate and the discourse created around "slop," just as happens with long text produced by LLM inference, some of us enjoy the process of endless iteration and experimentation until we find something we consider unique and representative of our creative ideas and craft. The process of creating this song was not an easy one, and certainly not the random-press-button way that the anti-AI crowd tends to think about any piece of content subject to being labeled "AI-generated." The process is certainly much more complex than sending a prompt and clicking "generate," and it wouldn't fit in this post, so I just wanted to share the piece in case anyone else enjoys this kind of AI-fueled musical "extravaganza."
Major update on the Talking to Chatbots dataset! Expanded the 'wrapped' dataset (one row per chat) to 2.86k records, and the 'unwrapped' version (one row per conversation turn) to 11k records. The main source is my ChatGPT archive with nearly 2 years of chats. It is still a work in progress as I incorporate chats from other sources and qualitative metrics (SCBN) for responses.
Thought it would only make sense to share this here. Lately, one of my favorite activities has been annotating prompts and putting them into datasets (reddgr/tl-test-learn-promptsreddgr/rq-request-question-promptsreddgr/nli-chatbot-prompt-categorization), which I then use to classify and select chatbot conversations for my website. It's quite fun to use this widget on the lmsys/lmsys-chat-1m, but I also use it on my 2 years of talking to chatbots (soon to be dataset, but still a lot of web scraping and ETL work left)... This one in the picture was probably one of the first prompts I wrote to an LLM:
