Transcript: Feeling good about tomorrow. It's quite late. I guess I'm still excited in my body. And I'm getting the energy to express. And I don't know exactly what the expression is going to be yet. But one of the things that I feel recently is seeing all of these announcements and demos and things, it's for me as a developer, trying to solve some of these things definitely doesn't feel super trivial. And to be fair, I haven't been working on it very, very long. I haven't been working on it with a team of people. So maybe this is partially the issue. There's also very little documentation out there for the kinds of things that I'm experimenting with. And as Raphael said, I probably should go and basically write down my learnings. And, you know, I guess that's something that I'll write down on my questions list. So let me do that real fast. Right. So I guess the point of this message, in some way, is I'm trying to do the darn thing. And I don't want to be afraid to put out half-baked work. As in, it does actually work. It's not perfect. But I also want to have a call to action to be like, if we do this together, it will be a better world. And I don't need to hide behind doing things behind closed doors and seeing that demos may or may not be real. I've built many demos in my life. I know how easy it is to potentially impress someone with a demo. But behind the scenes, you know, it's the Homer Simpson-like meme with his back clipped together so he looks super sexy. Like, no. I'm tired of doing that. I'm tired of doing that. And I'm actively trying to write code in such a way where it is not doing that and also write calls to large language models where it's not doing that. And I'm also not perfect. Like, what I just described is an agential system. To do that correctly is an agential system. And I do not have the right understanding to build a very effective agential system right now. I don't. But I do believe that is generally the direction we are going. And that is the direction we should be going. And how do we get there? And how do we begin to process large amounts of data to put it in the right format? How do we connect data sources to each other? Those are all open and important questions to form an overall better context of who we are. And I would love to say just like shoving all the documents into RAG and pulling out the top five is going to work. But like, I just don't know how that's going to fucking work. It's just not enough context about someone. I can't fit my context in five documents unless those documents are perfect documents. And maybe through large language models we can start generating more perfect documents for them.
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 article discusses the concept of excess energy and its potential for useful work, particularly in the context of desalinization. It raises questions about the economic viability of various forms of useful work and their relationship to industry operations. The author ponders how to accommodate fluctuating energy demand and considers alternative forms of useful work that can be easily adjusted. Additionally, the article delves into the rising energy prices and their implications, noting the impact on inflation and the broader economy. It ultimately questions whether energy prices should be decreasing considering the growing energy supply and highlights the ongoing challenge of balancing energy demand. The author contemplates the impact of a hypothetical surplus of 100 terawatts of power, wondering how it would be utilized in practical applications as well as its potential effect on energy prices. They reflect on the potential implications for the efficiency of semiconductor manufacturing processes and the unit economics of power consumption in relation to chip production. Additionally, they consider the impact on the cost of energy and the potential influence on technological advancements, such as mobile devices and large-language models, while pondering the likelihood of significant developments in battery capacity or power grid capacity in the future. Ultimately, the author grapples with the complex interplay between energy availability, technology development, and economic factors. The text discusses the impact of luck and timing on the future, emphasizing the significance of being in the right place at the right time in an evolving world. The questions revolve around the potential of using increased computing power and its implications for various industries. The author ponders the feasibility of building and networking advanced computational systems, as well as seeking funding opportunities by approaching venture capitalists in Silicon Valley. The text also expresses uncertainty about the timing and feasibility of pursuing these ideas, acknowledging the complexity and challenges involved. The speaker is focused on securing funding for their project and contemplating the core question they are trying to answer. They express a concern about the difficulty of the problem as it exists across various future scenarios and emphasize the need for a computer to understand their context without losing the complexity and emotion of human communication. They mention existing products like Rewind and Tab, but express skepticism about the ease of solving their problem through technology, stating a reluctance to change their behavior to fit a machine's requirements and feeling overwhelmed by the complexity of the task. Despite their doubts, they express a desire to fully realize their vision through a website. The speaker plans to create a new app that will generate a JSON output based on their questions. They believe that having this functionality will enable them to build any app they want. The speaker ends the voice memo with the intention of utilizing the recording for a future project they are working on and suggests that they'll use it to engage in questioning and exploration.
I've successfully published my work, which was an arduous yet rewarding process. On reflection, I realize I want to express myself authentically in my own voice, while also considering the need to help others understand my perspective. Looking ahead, I plan to maintain a regular output, potentially alternating days, to keep the stream of content going. In parallel, I'm excited to start developing new projects, including making my work easily accessible to others and laying the groundwork for a decentralized social network that supports various types of media.
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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.