Transcript: Hello. My first voice note going into our shared brain. But if I understand correctly, it's based on your last voice note that I got in iMessage, which I'll send it to you there, too. The question is, what is... Well, first of all, the discussion about 1517 and Jamie and Raphael. I think I really like DEC or DEMO as a kind of fork in the road. I can see some people would gravitate towards DEC, especially if you're going into bioscience. But for something like this, DEMO feels very appropriate because it's what we've been doing for five years, building little fucking prototypes that get at cooler possibilities. So I think that's a pretty natural choice. I think that makes sense to me, too. But more than just the DEMO, I think having a little bit of resonance from a group use of it, maybe the four of us, really trying to explore what kind of an asynchronous voice note conversational feed shared brain overlap thing is. So that gets me to the other thing you were talking about, which is, like, if I ramble into my microphone for a while, our brains have, like, a bridge. What does a related entry from your side look like? And I think it's a great question. I'd really want to see that. But I also wonder if giving it more metadata off the bat might help. For example, this voice note is a response to your voice note, as it is. It could already know that. I don't know whether it would probably find some similarities between them, given the some, like, keyword overlap with Raphael and Jamie and DEMO and DEC, but also making it more explicit so that it's possible to visualize as a conversational chain. Even that happened asynchronously could be really interesting. But that makes me think, like, and this might be getting ahead of the cart here, but, like, broadly speaking, it feels like this voice note has responses to two parts of your voice note so far. And, like, two chapters. And if I can, I don't know, like, would marking them explicitly be helpful? Or if a voice note is a response to another voice note and both of them seem to have things that kind of overlap with each other, would it be reasonable to assume those things are responses to each other? Like, this chapter kind of connects to that chapter in that voice note? That's kind of where my brain goes. I'm wondering. Yeah, I think it's a really interesting premise. And I think it makes a bit more sense that I would have a brain that I send to and you have a brain that you send to and then they find overlap. Then both of our, like, having a singular space where all of it dumps together. But I don't know. That's a thought. I think it's totally fine for now. I'm trying to kind of, like, get to what this could be. I do wonder. I'm mumbling into it throughout the day. Oh, this one's interesting. Let me make this one, like, kind of accessible to people. But there's something really interesting about making it accessible through vector database and not through direct text search. Like, I can't just command everyone and just be like, what did they say about communism? I can't go into it. But if I'm ranting about communism myself, then it might make more sense to kind of make, like, do a reciprocal opening between us and say, well, all right, I've already staked a little bit by just putting some opinions and dots out on the matter. What else is out there in my local cluster network? So there's something there that I think makes a lot of sense harkens back to even my first conversation with Savannah. After we met on the dating app, we exchanged, like, five text messages. And then she sent a voice note. And I was like, oh, God. Like, yeah, this is great. And it was just voice notes from there on until we met in person because it was just so much more. Rich and like contextual because we weren't just like, but it was still a sink. Like we were like doing our life things. And not really like being like, ah, like I need to stay glued to this phone the whole time voice as a sort of communication medium has so much, so much going for it. And I think maybe a thesis here, one of the like premises is what if the power of voice was not limited to synchronous conversations, which are great and exhausting. And like terrible list of unsearchable, unfilterable, unrespondable to voice notes in all of the messaging apps that we have currently. I message has transcripts now. Great. They seem to be working more often than not for me. But like looking at your voice note transcripts, it was like night and day between making sense of that and making sense of your actual speech. However, once I've listened to your thing, going back to the voice note is or to transcribe voice note is actually quite nice. Cause then I can be like, Oh yes, he said this, he said this, these are things that I want to like reply to and think about. So just whole pile of thoughts. And I think for doing this right, then sending a whole pile of thoughts into this thing is actually kind of what we could and should be doing. So let's see what happens with it. Yeah.
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The speaker is considering how to categorize inputs for a burrito-like system, focusing on what constitutes a minimum ingredient for a filling, using metadata like voice notes, images, and GPS tags. They ponder the need to explicitly connect related inputs, such as a photo and a voice note about the same subject, or whether temporal and spatial proximity should implicitly link them. The speaker also reflects on the holistic context influencing inputs, including mood and environment, questioning how far explicit bundling should go. Ultimately, they imply that inputs with similar timing and location could be considered related without the need for explicit connection, likening this to 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 speaker describes their experience of partially understanding a podcast, particularly a term "Socratic search space," while on a walk and expresses a desire to delve deeper into its meaning. They prefer an interactive approach where they can ask a device to provide references and contextual explanations, as opposed to receiving a summary generated by an AI model like GPT, which might lack the most recent uses of the term. They are skeptical about the capability of language models to provide a comprehensive understanding, given that they might not recognize terms with minimal occurrences in training data. The speaker envisions a system that could compile and present relevant information in a coherent way, enhancing their grasp of the podcast's content and making the learning process more meaningful.
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.
The author is reflecting on the challenges of effectively showcasing their work on the internet, particularly in relation to portfolios and resumes. They express frustration with the limitations of resumes in capturing the depth of their experience and contributions. Additionally, they discuss the ongoing financial and practical challenges of maintaining online projects and the importance of preserving past work for the benefit of future creators. The author considers using archive.org as a potential solution but expresses reservations about outsourcing this responsibility to a non-profit organization. They ultimately prioritize the use of such resources for preserving knowledge that benefits the broader community rather than their own personal or professional work. The speaker is exploring the idea of preserving their work and experiences in a meaningful and sustainable way. They express concerns about relying on external platforms like archive.org and consider alternatives such as hosting their own content and encoding it into a lower fidelity medium. They also discuss the concept of creating their own encapsulation and representation of their work, which they hope will be more long-term sustainable. The text discusses the idea of creating a collaborative storytelling and writing platform that acts as a memory time capsule by archiving and snapshotting links. It addresses the challenge of link rot and suggests that decentralized hosting and a network of machines could potentially help in the future. The text discusses the concept of a scoped IPFS that functions similar to RAID, where each file is known only once but stored multiple times based on its significance. It also touches on the importance of data permanence on the internet, addressing concerns about archiving family photos and trusting companies like iCloud to maintain data indefinitely. The author questions if they should trust these companies and expresses uncertainty about the longevity of their data stored on such platforms.
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The speaker is intrigued by the idea of a micro social network and wants to create an app that makes it easier to send voice notes to a small group of friends. They express a keen interest in receiving summaries of voice notes rather than full transcripts and want to cultivate a space for sharing ideas with a select group. They also discuss the possibility of sharing the same voice note with multiple groups and mention their intention to prototype the app. Despite feeling overwhelmed with other tasks, they contemplate swiftly putting together a plan for the micro social network.
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Considering the potential of using Brian Eno's diary as inspirational material, the speaker is pondering on how to reflect and experiment through a year's time. They're impressed by the quick and easy transition from voice note to summary and transcript, finding these tools useful for reflecting on the day. To enhance this reflective process, the speaker contemplates setting up a service to receive a text message summary at day’s end. They also consider the feasibility of sending voice memos directly as an input surface and the possibility of extending this service to friends, acknowledging that it aligns with current developmental efforts.
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I had a profound two-hour call with Jordan at 9 a.m., discussing a range of topics including the exciting potential of language models, which he called "word calculators." Jordan and I agreed on the importance of solidifying a good intention to create a compelling demo that deeply explores the vision of our project. We also touched on self-expression and the value of using the platform as a "playground" to honestly express oneself without worrying about the audience. Lastly, we delved into the dynamic nature of intentions and how they evolve over time, along with the idea that AI could support individuals by acting as an executive function override during moments of weakness.
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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 speaker is reflecting on their experience with making audio burrito posts, noting that it often requires multiple attempts to get into the correct mindset—similar to drafting written posts. They're grappling with the challenge of monologuing without a clear understanding of the audience, as they are aware that at least John and CJ will hear it, but uncertainty about the wider audience affects their ability to communicate effectively. This creates a 'contextual membrane shakiness' as the speaker finds the lack of audience boundaries difficult to navigate, which they recognize may vary among different people. The speaker concludes by deciding to end the current note and start a new one.