Transcript: on the possibility of screen recording and burrito dot place. I think this can be tagged as another design fiction. So I think there's something really interesting about the prospect of recording a screen. In this case, I think Figma makes the most sense inside of it. But I think TLDraw, XcalitDraw, all good. Anything that can be dumped to JSON ultimately with some sort of positional coordinates. But I think the idea that I'm going for here is I have a thought that I want to express into this thing, and it's a thought that I want to map out a little bit. Maybe I already have graphics or diagrams to describe part of this. I still want rich audio and all the linking possibilities, the similarity finding. So I think what I'm kind of getting at here is a way to to ingest a format a bit like rewind.ai's native capture format. Something where I get full text search on the thing that my screen is set to, visible. But more importantly, I think, more interestingly, if that Figma file that I shared from within the screen share is linked as well as metadata, then all of the links inside of that file can be extracted. There might be some possible parallel pipelines that could also generate, parse the Figma itself and try to map it as a concept map of some sort. And then this all just generates metadata that then helps searching, filtering, querying, matching on the burrito place main sort of ingestion screen. So yeah, I think more or less imagining a way of uploading recordings, doesn't have to be loom, loom makes a handy thing, that sort of deeply understand or attempt to get to a place of deeply understanding the content that I'm talking about. And again, richly capturing a bunch of social context around it. I think these are both themes that we explored around gathering screen recording in R-Log. So I think there's just like another avenue at that. But this one starts with a more primitive data format, which is just audio as a core input. So I guess I'd wonder if screen recording is another core raw input. Yeah, that's my thought so far.
87.00% similar
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.
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.
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.
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.
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.
87.04% similar
The author contemplates the process of converting an audio note into a transcript, then summarizing it on their "burrito" page. They express a desire to adjust the summarization voice to better represent themselves on the page. Recognizing that this feature may not have widespread appeal, the author nonetheless sees value in providing users with controls to personalize their "burrito." The concept of allowing users to fine-tune their experience is seen as an intriguing possibility.
86.31% similar
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.
85.48% similar
The speaker is considering the research question of how to achieve distributed compute, particularly the need for parallelism in executing pipelines and AI agents. They question the potential for building a Directed Acyclic Graph (DAG) that allows for agents to dynamically contribute to it and execute in parallel, emphasizing the need for pipeline development to accommodate this level of complexity. The discussion also touches on the scalability and parallel execution potential of the mixture of experts model, such as GPT-4, and the potential for hierarchical or vector space implementation. The speaker is keen on exploring the level of parallelism achievable through mixture of experts but acknowledges the limited understanding of its full capabilities at this point. They also express curiosity about fine-tuning experts for personal data. The speaker is discussing the data they are generating and the value of the training data for their system, particularly emphasizing the importance of transforming the data to suit their context and actions. They mention meditating and recording their thoughts, which they intend to transform into a bullet point list using an AI model after running it through a pipeline. The individual also discusses making their data publicly accessible and considering using GPT (possibly GPT-3) to post summaries of their thoughts on Twitter. They also ponder the potential of using machine learning models to create a personal Google-like system for individual data. The text discusses using data chunking as a method for generating backlinks and implementing PageRank in an agent system. It mentions steep space models and the continuous updating of internal state during training. It also compares the level of context in transformer models and discusses the idea of transformer as a compression of knowledge in a language. The speaker expresses interest in understanding the concept of decay in relation to memory and its impact on the storage and retrieval of information. They draw parallels between the processing of information in their mind and the functioning of a transformer model, with the long-term memory being likened to a transformer and short-term memory to online processing. They speculate on the potential of augmenting the transformer model with synthetic training data to improve long-term context retention and recall. Additionally, they mention a desire to leverage a state space model to compile a list of movies recommended by friends and contemplate the symbiotic relationship between technology and human sensory inputs in the future. In this passage, the speaker reflects on the relationship between humans and computers, suggesting that a form of symbiosis already exists between the two. They acknowledge the reliance on technology and the interconnectedness of biological and computational intelligence, viewing them as mutually beneficial and likening the relationship to symbiosis in nature. They express a preference for living at the juxtaposition of humans and computers, while acknowledging the potential challenges and the need to address potential risks. Additionally, they mention that their thoughts on this topic have been influenced by their experiences with psychedelics. The speaker discusses the potential increase in computing power over the next five years, mentioning the impact of Moore's Law and advancements in lithography and semiconductors. They refer to the semiconductor roadmap up to 2034, highlighting the shift towards smaller measurements, such as angstroms, for increased transistor density. They emphasize that the nanometer measurements are based on nomenclature rather than actual transistor size, and the challenges in increasing density due to size limitations and cost constraints. The conversation touches on different companies' approaches to transistor density and the role of ASML in pushing lithography boundaries, before concluding with a reference to the high cost and potential decline in revenue for semiconductor production. The speaker discusses the importance of semiconductor manufacturing in the U.S. and China's significant focus in this area. They mention watching videos and reading sub stacks related to semiconductor technology, specifically referencing industry analysts and experts in the field. The speaker expresses enthusiasm for staying updated on developments and offers to share information with the listener. The conversation concludes with a friendly farewell and the possibility of future discussions.
84.92% similar
Your burritos are a digital platform that allows you to upload multimedia files to the web via an iOS shortcut. Participants of the experiment will have a personal webpage that recommends similar content they or others have uploaded, fostering a sense of community. There's a collaborative aspect for developers, with APIs available and the potential for collective improvement of the Next.js app. Keep in mind that the platform, especially for video uploads (currently capped at 100MB), is a work in progress and feedback is encouraged to refine the experience. The speaker instructs on how to use a digital tool, explaining that it can load various types of content. Users can add to the tool by accessing a shortcut through three dots, and their content should appear in the share sheet for photos, videos, audio notes, and text—though text support is limited at this stage. There's a file size limitation of 100 megabytes, which generally affects photos and audio. The speaker expresses gratitude for the willingness to participate and encourages feedback and engagement at any level, emphasizing a desire to build something beneficial for the group.
84.60% similar
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.