rollinDyno
Joined 11 years ago
Joined 11 years ago
Afterall, AI slop doesn't necessarily mean the prompter didn't read. It just means they're OK with the AI phrasing. It's also possible that they read the output and had the AI update with whatever edits they prompted.
Writing this comment makes me more convinced that if us users of AI want our written work to be taken seriously, then we should also share our prompts. I hope we quickly converge into a standard way of sharing the prompts that generated a given product.
I think you guys might be onto something but I'm still skeptic as to whether you are the most accurate (on whatever metric). It's not surprising that you beat a survey of experts, or straight out of the box commercial LLMs.
I'm more interested in seeing how your model performs against purpose specific models that are currently industry standard. Unless you're making the claim that you're the first service to predict content engagement?
The app is designed for older adults who enjoy reminiscing but struggle to organize their thoughts into a coherent narrative. The goal is to preserve their hard-won insights and pass them down—to family members who may be too busy to ask the right questions now, and to future generations who would otherwise never hear these stories.
I have a working prototype that allows me to test the interview flow, and I’ll soon be sharing it with friends and family for initial feedback. I’m now looking for a designer to collaborate on the next phase.
Design will be a critical part of this app. The way stories are visually presented will be central to the user experience and will likely determine the app’s success. If you’re a designer interested in this kind of work, I’d love to hear from you. Given the text-heavy nature of the app, experience with typography and content-focused design will be especially valuable.
I bring up my studies because what the author is talking about strikes me as not having been ambitious enough in his thinking. If you prompt current LLMs with your idea and find the generated arguments and reasoning satisfactory, then you aren't really being rigorous or you're not having big enough ideas.
I say this confidently because my studies showed me not only the methods in finding and contrasting evidence around any given issue, but also how much more there is to learn about the universe. So, if you're being rigorous enough to look at implications of your theories, finding datapoints that speak to your conclusions and find that your question has been answered, then your idea is too small for what the state of knowledge is in 2025.