Transcript: In some kind of ideal world, I guess the best thing to do would be when you add a new entry to the log, is that that entry is put into the larger context of the whole. Think, I think that's like what you would want to happen. And that also kind of assumes that you can figure out or infer what the larger context of the whole is. Or maybe that is an iterative process that lets you figure that out. I'm a bit unsure. But that's like kind of the sense that I'm getting from this and thinking about it. And right, if I want to support, you know, say my conversations, text messages with friends. Yeah, like having that as a separate data source is interesting, but again, if I can just throw it all inside of a LLM context window, can it begin to understand like the greater overall theme of that message in some ways? Like given this thing, you know, look at everything and now place this inside of the greater context of everything. Yeah, it's curious to say the least. And maybe it's worth like literally just shoving in like as much context as we can and generating this every time. And what I mean by that is like when we get a new thing in, is tokenize it, figure out how many tokens there are, and then go through the latest N entries and basically build it up to be like 64,000 minus N tokens and shove all of that into GPT-4 and see if it can put whatever I just wrote in the context of everything else that has been written already. That would be like one way of kind of just like brute forcing your way into some contextual understanding. So that would be like maybe an interesting last step or a step that can be executed completely asynchronously. And I mean, in fact, like probably we need the pipeline to be executing in a more asynchronous fashion anyhow, but this is kind of directional, like where to go.
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The individual has discovered that working backward from a desired result with a large language model is surprisingly effective, especially when detailing the problem forward seems challenging. This backward approach has simplified the problem and resulted in the use of GPT-4 for data transformation within the context window, improving the process. An automatic metadata generation pipeline is emerging, where data transformations are added as needed, potentially storing transformations for future use based on query relevance. This system will generate an extensive amount of synthetic data, allowing for the extraction of relevant information through queries fed into the model at later stages, rather than having to pre-determine all questions.
The user is looking to implement a caching mechanism to quickly summarize new content added to a pipeline. They are considering a simple approach, such as selecting the most recent items and creating a summary, as well as exploring the possibility of summarizing content on a weekly basis. The user also expresses a desire for the summarization process to involve natural language queries rather than programming, and seeks to explore methods to refine natural language programming capabilities.
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.
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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.
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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.
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The speaker is discussing the principles of social design in the context of creating engaging digital spaces, drawing on the collaborative work with Kristen. They emphasize the importance of social participation, challenges, and focused attention in driving user engagement within a product. Kristen's expertise in designing environments for coherence, sense-making, and collaboration is highlighted, particularly in the transition to digital spaces. The speaker believes that fundamental design elements, like those in a burrito, are critical for crafting unique and compelling user experiences in social design.
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I've always been drawn to the peculiar and unexplored, which makes me wonder if I can pepper my writing with a bit of the offbeat—things that don't quite fit the mold. Question is, can I make it work? Ditching the third-person narrative and opting for a chat with you in the first person could make my stories feel more intimate, more like we're in this together. And hey, isn't that what storytelling's all about? Let's find out.
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The speaker conveys their frustration with a difficult fundraising experience, describing a particularly unsatisfactory video call with a fund representative. The caller was in a bad mood, hadn't reviewed the provided materials, and hesitated to engage with the product's features. This led to a tense exchange where the speaker challenged the representative's commitment to valuing founders versus purely focusing on financial metrics. Feeling disillusioned, the speaker is left with a distaste for these disengaged "NPCs" and remains focused on their vision of fostering creative and engaging spaces.