Transcript: One of the things that I'm thinking about is the ability to... This is, again, context. Like, what would it be like to be able to have a watch that just understands that I went surfing, or that I went climbing, or that I'm going to the gym. I guess one of the things in my world that's easy is place plays a massive role in those things. You know, if I've not explicitly told the computer, like, if I go to SWAMI's and then I'm not near my phone for an hour, likely the case is that I went surfing. One of the things that I'm curious about is, like, can all of that data be gathered like from the raw sensors and then inferred later on? It actually doesn't need to be inferred in real time. Real time would be great. So, yeah, something to think about. I definitely want to think about... Yeah, I don't know. Even something like driving, like GPS location and time gives you a lot of a sense of what is happening. And some of me is like, okay, well, my phone, when my phone is active, I only really need my GPS location to be recorded, like, you know, every five minutes, honestly, plenty. I mean, every minute would be fantastic. But even then, there's different granularities. So, so, even regardless of that, yeah, having my phone be able to infer context seems really important to me. To be able to understand the relations between different things. So,
The speaker is interested in using analytics and data to enhance human perception, and wonders if there are simpler or alternative methods to achieve this. They express a need to bring their watch and mention taking it out of the sports realm, suggesting a shift in focus. The speaker reflects on their own frustrations and desires in these experiences, indicating a desire for a more personalized approach to extending human perception.
The personal AI becomes an application platform, allowing users to ask it to plan activities and perform additional tasks such as feature and metadata extraction. Through understanding the user's preferences and reaching out to the internet for relevant information, the AI can propose personalized weekly plans and communicate between other users' AI systems. This approach provides a customizable and beneficial tool for personal growth, making tasks more efficient and offering the potential for improved connections between individuals.
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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.
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The author emphasizes the need for personal AI to be holistic and know a fair bit about the user to answer complex questions. They express skepticism about current devices like Tab and Rewind catching on but foresee their eventual adoption. They ponder the societal implications of pervasive surveillance and advocate for thoughtful consideration. The author envisions using an AI system to capture and analyze their conversations at home to elucidate thinking patterns and make them accessible. Additionally, they discuss the limitations of vector algorithms in representing complex questions and suggest the need for a new approach. The speaker suggests that while their idea is a starting point, further exploration is necessary to determine its relevance and significance. They reflect on the process of developing a deeper understanding and consider the practical aspects of implementing their thoughts about how the brain is constructed.
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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.
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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 text discusses the concept of using screen recording to capture and organize thoughts, particularly when mapping them out with supportive graphics or diagrams, enhancing the process with features like rich audio and linking possibilities. The author suggests that a system similar to rewind.ai's capture format could be utilized, allowing for full-text search and leveraging metadata from shared Figma files to extract links and possibly map these as concept maps. This method aims to enhance the searchability, filtering, and querying of content, integrating into a platform the author refers to as "burrito dot place." The author contemplates the addition of robust social context to screen recordings, considering them as potential raw input for content understanding, akin to the role of audio, and builds upon themes previously explored in R-Log.
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The speaker is contemplating how to ensure a substrate recognizes the relationship between two related but unlinked entries. They consider whether to trust the system's ability to connect them or address the issue using the Cray layer. The role of metadata is questioned; whether it could enhance the process or complicate it. Ultimately, the speaker is weighing the benefits of a simpler approach against a more complex but precise one.
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The speaker reflects on the idea of returning to school and studying cognitive science, an interdisciplinary field that blends various subjects like philosophy, neuroscience, and computer science, which they discovered through a coworker. They had initially studied science at the community college level, pursuing general education before dropping out and working in software, where they learned skills not directly relevant to web app development. Although not currently planning to go back to school, they find the concept of cognitive science fascinating due to its relevance to understanding the human brain and AI, with potential implications for the future. If circumstances allowed, such as affordable tuition and the ability to learn without financial pressure, the speaker would be excited to pursue cognitive science for its practical and forward-looking applications in technology and understanding human cognition. The speaker is explaining how certain things influence their approach to designing systems and living their life, especially in relation to interacting with artificial intelligence. These influences are significant enough to capture their attention, hence the phrase "that's why that calls my name." They imply a deep connection or interest in the impact of these factors on their work and personal life. This perspective helps to inform their design decisions and overall interaction with AI technology.