Transcript: Thinking a little bit about input types for burrito and kind of pondering what a minimum sort of ingredient for the filling is. So as we've been testing, voice note is one of these, image is another. Image comes with the GPS tag which is sort of a combination of ingredients. All of these come with time stamps as metadata. So it's kind of crucial for making any sense of anything. But that does make me think now, what happens when you combine more of these ingredients at entry time. So in some sense this is a video I suppose, but like I often want to give my photo a specific caption of some sort. And I also want to see the AI-generated caption. So I'm curious if there's a any way of combining the two in a useful way. My voice note is about what I'm seeing, and these two things are connected to a GPS. So I guess there's questions here of implicit or explicit. Do I need to tell the app that these things are connected, or is it just enough to send the minutes back-to-back and have the query layer figure out that these are actually talking about the same moment in time. And it really does start to like raise a question of when I'm looking at something. It's one of the inputs to my thoughts about what I'm saying, but it's not the only one. I mean my mood and my tasks earlier that day and who I'm around, all of these matter too. So if we're going down the logic of I need to explicitly bundle these separate media artifacts together, then how far do you go? A little point, you know, would make more sense to just scan my brain and everything around it. So which seems easier and more in line with the underlying structure of the data. It's just to say if these things went in at similar times and similar pinpoints to GPS locations, then they don't need to be explicitly related. So that's my thinking there. I guess these are some sort of lab notes.
Voice notes for creating burritos can vary in length; they can be long if needed, but sometimes a short description suffices. Despite not always understanding the thought fully, there's an instinct to describe it with high fidelity to AI. Short descriptions can be beneficial as they can connect to other ideas, implying a hypothesis that the connection between ideas can be explored through these descriptions.
The text discusses the concept of using screen recording to capture and organize thoughts, particularly when mapping them out with supportive graphics or diagrams, enhancing the process with features like rich audio and linking possibilities. The author suggests that a system similar to rewind.ai's capture format could be utilized, allowing for full-text search and leveraging metadata from shared Figma files to extract links and possibly map these as concept maps. This method aims to enhance the searchability, filtering, and querying of content, integrating into a platform the author refers to as "burrito dot place." The author contemplates the addition of robust social context to screen recordings, considering them as potential raw input for content understanding, akin to the role of audio, and builds upon themes previously explored in R-Log.
A shared 'brain' is being discussed as a platform for asynchronous voice note conversations where metadata could enhance understanding and visualization of conversational threads. The speaker suggests a focus on DEMO rather than DEC as a fork in the road, believing it better suits the work they've been doing with building prototypes. A group experiment is proposed with four members to delve into how these voice notes can overlap and interconnect, with the idea of marking chapters within responses to clarify dialogue. The concept also touches on the nuances of information retrieval, preferring vector databases over direct text searches, hinting at a similarity to the speaker's initial voice note exchanges with Savannah after meeting on a dating app. Voice communication offers significant advantages as a medium, and there's an idea presented here that its power should extend beyond just live conversations. Current messaging apps are filled with voice notes that are often difficult to search, filter, or respond to, though iMessage now has transcripts, which are generally reliable and useful once you've listened to the original voice note. The ability to refer back to transcribed voice notes can aid in crafting thoughtful responses and engaging in more meaningful discussions. The sender of the message suggests that by embracing this approach to communication, we could enhance our conversations and is curious to see how it will develop.
The speaker is contemplating how to ensure a substrate recognizes the relationship between two related but unlinked entries. They consider whether to trust the system's ability to connect them or address the issue using the Cray layer. The role of metadata is questioned; whether it could enhance the process or complicate it. Ultimately, the speaker is weighing the benefits of a simpler approach against a more complex but precise one.