Transcript: Should there be a notification when someone else publishes something that is surprisingly similar to what you have said? You know, if there's like a score of like 95 or even like 92, is that good enough to get a notification for? It's curious that.
The speaker seems intrigued by the potential for a social network-driven Boneyard Algorithm, wondering if it is targeted towards developers or the general public. They express a desire to explore the concept's potential for sharing and receiving information amongst friends, mentioning plans to set up networks for John, Chandler, and Jamie. They anticipate the possibility of creating a network effect, where inputting data could yield relevant feedback from others and reveal insights related to the individual's interests.
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The user is curious about summarizing their thoughts in the last 24 hours to have a solid understanding of their previous musings when they return to the computer. They also want to create a social mechanism to share their thoughts and interests with others in a way that is algorithmically related to their own interests, without coming across as trying to show off. They express a preference for audio recordings over writing and anticipate the process of reviewing their nightly thoughts as potentially painful. Overall, they aim to implement a solution to streamline this task.
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The speaker is contemplating creating a micro social network, motivated by both marketing and curiosity, to explore what a small-scale community might look like, with the idea of bringing together a select group of 25 to 100 people to experiment with the concept. They are considering sending out a survey to gauge interest and see if people are willing to collaborate on developing the platform, suggesting that even with basic functionality, like comparing user embeddings, the project could rapidly evolve. The speaker hints at a profound potential in this endeavor and expresses a keen interest in delving into it, as well as providing the means for participants to create their own websites and forge connections. Acknowledging data as a major challenge, they note that providing tools for the community could bring the project closer to addressing this issue.
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The speaker mentions using AI to convert voice notes into tweets or Instagram captions, expressing an interest in conveying their thoughts effectively and using it as a springboard for more thoughtful content. They highlight the potential for a "spiffy remark" on Twitter without needing to use their exact words, indicating a desire for increased flexibility and creativity in their social media posts. The overall focus is on exploring new ways to express their ideas and promote long-form, thoughtful content.
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The author contemplates the process of converting an audio note into a transcript, then summarizing it on their "burrito" page. They express a desire to adjust the summarization voice to better represent themselves on the page. Recognizing that this feature may not have widespread appeal, the author nonetheless sees value in providing users with controls to personalize their "burrito." The concept of allowing users to fine-tune their experience is seen as an intriguing possibility.
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I've always been drawn to the peculiar and unexplored, which makes me wonder if I can pepper my writing with a bit of the offbeat—things that don't quite fit the mold. Question is, can I make it work? Ditching the third-person narrative and opting for a chat with you in the first person could make my stories feel more intimate, more like we're in this together. And hey, isn't that what storytelling's all about? Let's find out.