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.
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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.
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The speaker did not complete their weekly review, which usually provides clarity and insights for the upcoming week. Despite this, they have many projects, personal life commitments, and community efforts to attend to, not to mention taxes. They plan to set week intentions using voice instead of writing, including the exploration of websites for the Diagram Website Explorers Club and developing a Canvas element-based editor for Daily Jam. The technical aspects of this project involve real-time data updates, efficient pixel manipulation, and secure user authentication through tokenization. A function is set to run every five seconds to update the canvas with the latest pixel data, ensuring all viewers see a consistent image while minimizing performance impacts. Other tasks include preparing tax paperwork, organizing Boulder events for systems and AI, and sketching ideas for a project called "co-net." The intention is to spend more time outdoors in the nice weather and to schedule the next "Site Craft Hang," while thinking about potential content for the "Explorers Club" website. Overall, it's a productive Monday morning with good weather contributing to a positive start to the week.
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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 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.
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The text provides insights into the challenges of finalizing and shipping a product, highlighting the complexities of resetting and managing various states and default values. It also touches on the need to consider potential issues and the importance of thorough testing. The author reflects on potential improvements for future projects, such as incorporating safeguards for duplicate signatures and considering time-based randomization. Additionally, the text emphasizes the importance of attention to detail, particularly in visual aspects, during the final stages of development and deployment. The speaker discusses their increasing comfort with refactoring and componentizing complex structures. They express excitement about making code more readable and coherent, although the components are currently specific to the project. The speaker notes the trade-off between using brain cycles to save CPU cycles and vice versa, while also reflecting on past regrets and lessons learned. They emphasize the importance of simplifying and automating processes to reduce complexity and potential confusion. Additionally, they mention the need to minimize the number of possible states to maintain control and avoid tangled situations. The text contains various thoughts on working with render loops and passing signals as props in React components. The author also discusses the importance of validating metadata before deployment in order to avoid costly mistakes on the main net. Additionally, the author reflects on the need for breaks during long coding sessions and the frustration of having to rename components. Overall, the text reflects the author's experiences and insights while working on a project.