Transcript: Okay, the thing that I'm thinking about most is what is MVP, effectively, and specifically meaning going to try to get 25 or 100 people or even spinning it up for Chandler and I. Basically using that as the metric of that's where we need to get to. I feel like there's really just a couple of things. One is like nailing the retrieval part and getting it at least to work for some questions. It doesn't have to work for every question, but if it can work for some, that'd be great. I also very much would like it to be very minimally multimodal. Basic multimodal capability seems very important. I don't know if that even is an MVP, but I would ideally like it to be. And then the next big thing is robustness, effectively being able to deploy this for other people and doing so in a way that's very easy and cheap, ideally, maybe even one-click deploy that someone could do or something else. And even if I have to do that initially, whatever, but there definitely needs to be like some level of that and onboarding to figure out. And I think that's going to be the last step because it doesn't make sense unless the other things work. We already know that we can query across people. It's like no issue. That's totally viable and doable. The problem is making those queries really, really effective. So if we can make queries effective and ideally have more data sources to make it even more robust and powerful and interesting, that would be fantastic. I personally want it just for like minimal viable data and exploration and making that easy for someone else to do. Again, tools for thought.
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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.
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'm making good progress on the AI grant application, with both the longer description and one-sentence summary feeling satisfactorily crafted. Despite some reservations, the video I've made is likely sufficient, and with most steps completed, I'm now moving onto the demo, aiming to showcase everything in a concise three-minute presentation. This will highlight one personal frame through which to view data, particularly emphasizing social connections and convenience in planning. My ultimate goal is to demonstrate the simplicity of asking a question to retrieve information and to focus on the two key APIs, store and query, to power the application. Focus around these two queries, as with them, essentially any application can be constructed.
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 central idea discussed is the potential of aggregating data into a single place to unlock immense opportunities. The speaker is contemplating how to obtain the needed data, acknowledging the challenge it poses, and is encouraged by a peer's enthusiasm for the concept. They consider the "tools for thought" community as a significant source of data and as potential users who might benefit from new means of interacting with their information. The long-term vision includes creating a decentralized, networked platform that enables interconnectedness and community interaction, facilitated by customizable algorithms, with an initial focus on technically inclined individuals and social designers.