Transcript: I think I'm making good progress on the AI grant stuff, and at least the framing that I have, both the description and the one-sentence summary seem to be pretty good, to me at least. Not perfect, but I don't think it needs to be perfect right now. Quite frankly, I want to get back to building shit. So that's where most of my attention is going. But I also know it's important to try to communicate the thing, so I'm trying to do as best as I can to do that. And I hope that that single sentence and three or four sentence description covers those bases clearly. The video that I recorded, I feel like, is probably good enough. I'm not super, super psyched about it. Maybe I will rerecord it. I don't know. But more or less having three of the four steps done, I'm feeling pretty good about. Feeling pretty good about that. Again, I don't think it's perfect. I think there's a lot more communication and explanation needed, unfortunately, and still a lot of collapsing to do. That's just the reality. But that comes in time, I think. So now it's moving on to the demo. And fortunately, I already have a fair bit done. And I think I can. My goal is to show everything in three minutes. And my goal in doing that is to show one possible application, one viewpoint on this data. I am providing a frame, just a singular frame. And I want to make that clear, that this is just the frame that I wish to look through this data for myself. And with that frame, for me, comes both the personal side of the ways that I'm trying to grow personally, as well as the social side. Because for me, that is very connected to what is meaningful to me. I want to see, well, quite frankly, what my friends are up to and not have to be scrolling something all of the time to do that. I want to be a better friend. So I want to know, have I not reached out to someone in a while? Or is someone doing something interesting that I should know about? And so I can reach out to them. And then beyond that is, in what ways can this thing actually make life better? In the sense, I don't need to go figure out people's calendars and schedules and logistics. I can just ask a question and get the answer. And how beneficial that would be and lower the barrier to entry to doing social things. So that's just one example. So there's so many other things I'd like to build. Music, I think that's really important. But I think if I can demonstrate that and show then, this is how this website was built. This is not very complicated. I didn't need to build a database to do this. I just asked a question. That's all that was required was to ask a question. That's what I want to show. I think that's really, really important. So I think if I can do that and do that effectively, and also show this is how the data got there. This is just, again, one method of getting the data there. You can build your own application, your own experiences to put the data there. That is also totally fine. But this is there. Ultimately, I want to have those two APIs, store and query. And that is it. And that's what I want to really hone in and focus on. Focus around is with those two queries, basically any application can be built.
The speaker is discussing their work on building infrastructure for personal AI augmented search and the various applications that can be built on top of it. They are considering the possibility of demonstrating the capability through a social network and other potential ways of showcasing its functionality. They believe they can display several demos from the same piece of code, which could be interesting and informative.
The realization of the value in this application lies in its ability to perform searches quickly, efficiently, and accurately. There are multiple approaches to enhance its functionality, with a focus on both data storage and the improvement of search capabilities, which is currently the most critical yet challenging aspect. Concerns exist about the app's method of aggregating all processed data, which feels inherently flawed, though it's being temporarily accepted for the valuable data it provides. This tension between a recognized need for development against the reluctance to proceed with an imperfect solution underscores the complexity of the problem at hand.
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The speaker is excited about tomorrow but acknowledges that as a developer facing new challenges, the work is not trivial, especially given the lack of extensive documentation and the solitary nature of their current work process. They express a desire to share their learnings, possibly by writing them down, and emphasize the importance of collaboration, suggesting that "if we do this together, it will be a better world." The speaker is tired of creating misleadingly impressive demos and aims to write code and interact with large language models in a more genuine and transparent way. Lastly, they recognize the complexity of building an effective agential system, admitting their current limitations while believing in its importance, and they present open questions about processing and connecting large amounts of data to better understand who we are.
The speaker aspires to be part of communities that empower individuals to explore their data and bring value back to themselves. They are willing to take a job in such a space and believe it's worth doing. The goal is to build tools that make it easy for the individual to work with their data directly on a web page. They plan to move to a more reactive front end using Next.js and React, designing a feed and query system possibly using natural language. The speaker also mentions working on embedding audio and ensuring embeddings are accessible. The text discusses the process of obtaining and manipulating data and emphasizes the importance of experimentation and innovation. It uses the metaphor of building a playground to illustrate the iterative nature of the process, acknowledging that initial attempts may be imperfect but can be improved upon through learning from mistakes. The writer anticipates challenges but expresses a hope to avoid negative consequences and eventually achieve success. Finally, the text concludes with a lighthearted remark and a reference to going to sleep.
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I've realized that I don't need immediate answers and having a progress update by Friday, such as a screenshot, will suffice to indicate we're on track. By Friday, if we haven't achieved this, we'll need to reassess our progress and consider whether we are closer to our goal. The possible expansion to different data sources is a concern, and I'm contemplating an 'agential' architecture where agents manage different types of data. To effectively answer questions with available data, we might use a system that assembles JSON objects, but how to handle various embedding spaces for different data types like audio or text remains uncertain.