Transcript: A curiosity is all of these voice notes. One thing I would like to run on them is make this a tweet. I don't know in the style of who yet exactly, but that might be interesting where now I can use an AI to mediate these things for me. I don't need to put exactly my words on Twitter. You can always reference exactly what I said, but maybe there's a little spiffy remark on Twitter or a good Instagram caption or whatever. This is me just wondering basically how to effectively convey what I'm thinking about and also using it as a springboard into more long form and thoughtful things, ideally. Thank you.
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The user is curious about summarizing their thoughts in the last 24 hours to have a solid understanding of their previous musings when they return to the computer. They also want to create a social mechanism to share their thoughts and interests with others in a way that is algorithmically related to their own interests, without coming across as trying to show off. They express a preference for audio recordings over writing and anticipate the process of reviewing their nightly thoughts as potentially painful. Overall, they aim to implement a solution to streamline this task.
The speaker is intrigued by the idea of a micro social network and wants to create an app that makes it easier to send voice notes to a small group of friends. They express a keen interest in receiving summaries of voice notes rather than full transcripts and want to cultivate a space for sharing ideas with a select group. They also discuss the possibility of sharing the same voice note with multiple groups and mention their intention to prototype the app. Despite feeling overwhelmed with other tasks, they contemplate swiftly putting together a plan for the micro social network.
Considering the potential of using Brian Eno's diary as inspirational material, the speaker is pondering on how to reflect and experiment through a year's time. They're impressed by the quick and easy transition from voice note to summary and transcript, finding these tools useful for reflecting on the day. To enhance this reflective process, the speaker contemplates setting up a service to receive a text message summary at day’s end. They also consider the feasibility of sending voice memos directly as an input surface and the possibility of extending this service to friends, acknowledging that it aligns with current developmental efforts.
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The speaker had an eventful day, pondering about the challenges of data input while considering tab as a better alternative. They also reflected on the importance of finding balance and engaging in outdoor activities. After accidentally spilling water on the couch, they spent the rest of the day sewing and improving their skills. They mentioned the completion of their mom's sweatshirt and the priority of finishing their dad's garment. The speaker also expressed anticipation for a call with Dave the following day. The speaker begins by expressing uncertainty about the need for assistance and the importance of finding a solution, and then transitions into a discussion about their activities, including sewing and debating whether to go climbing. They also mention interactions with others, including a visitor and a call with someone working on a home assistant project. They express curiosity about artificial intelligence and self-reflection about their choices and the validity of their concerns. The underlying theme revolves around the need for accessible and contextual data and the desire to visualize and understand their thoughts and emotions. The speaker is pondering the potential of representing human thought in a computer and visualizing data. They question the user experience of digging into menus to see past interactions, suggesting that simple reminders may be more effective. They also explore the visual representation of a person by AI, wondering about its accuracy. Additionally, they express a personal interest in statistical information, such as the number of days spent with a specific individual. Lastly, they mention their intention to read the Pure Aloha Oath, emphasizing the importance of living with pure Aloha in all thoughts and actions. The speaker commits to embodying love and compassion in all their interactions with others, seeing everyone as part of a connected global community. They aspire to achieve inner peace and happiness by living each moment with unconditional love and open-heartedness. While acknowledging the challenges of consistently living by this oath, they are determined to strive towards being a better, more thoughtful, caring, and kind person. The speaker reflects on the practical aspects of their life, such as cleaning up a mess and organizing their home, and expresses frustration about technological complexities and the desire to track and visualize their daily activities. The speaker discusses potential job opportunities and muses about conversing with an AI that replicates their own brain, similar to the movie "Her." They express a desire to be part of something worthwhile and mention needing to respond to someone named Chroma. They contemplate talking to themselves and sorting through their thoughts, feeling enthusiastic about the subjects they want to share with the world, such as photolithography. Additionally, they reference finding better platforms for sharing information and react to a message from someone they contacted about acquiring a slackline. The text seems to be a conversation or stream of consciousness, with repetition of names and phrases. The speaker expresses uncertainty about what to say in response to a message, indicating a lack of understanding. The speaker seems to contemplate keeping in touch and checking in on the new year. However, there is an overall sense of confusion and difficulty in articulating thoughts. Dr. Lingonberry, an individual's friend, has been absent and has developed progressive memory loss. The cause of this is due to a diagnosis of a brain tumor. This diagnosis has led to both consequences of memory impairment and the presence of a brain tumor. These combined factors have significantly impacted Dr. Lingonberry's health and well-being.
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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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.
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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 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.
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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 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.