Transcript: One thing that I find fascinating is something that got brought up in conversation with Kyle yesterday is this notion of permissions. Specifically that, you know, right now computer permissions are very like strict in a lot of ways. It's like either you have access or you don't. Access controls, right? But I wonder if with machine learning models a lot of permissions can effectively be inferred. And I know that this is a touchy territory. And it's touchy for me too because like I wouldn't really want like certain things to be leaked unless like I wanted them to be leaked. And giving that power away to a machine learning model is like, I don't know, you probably don't want to just like fully do that either. But, you know, when it gets on the boundary of like, oh, this is like a pretty personal thing, like do you want to share that? Maybe. So, I mean, I have some like strange examples from my personal life. Is with my friends, especially like I don't really mind them knowing like I'm into fat women, right? Like that, that's totally cool. Then there's like the level of like kink that I do have, which I have not shared with really anyone. And, you know, I'm still skeptical of sharing with someone. However, at the same time, it would be very weird, but also very interesting to experience like, or like if I was walking around and I was in a coffee shop, I will just use the coffee shop example. It's so easy. As if I was walking and I saw, oh, that person like shares, shares my kink. Shares, shares my kink. That would be very awesome for me, you know, like that would be really, really great. And using, using it in that way where it's like, okay, I actually don't need to disclose this to everyone. But when there's this shared mutual interest, all of a sudden that thing gets unlocked and it can be shared. I don't know. Like that's could be very interesting if that is something you wish. Maybe that's also not something that you wish to like share is like also totally fine. I personally would love to share that because I would love to encounter more people with the same kink as me. Like if I knew that I would, I mean, like I probably would start a conversation like almost guaranteed, but I wouldn't also just like necessarily just walk around like looking for people with that, that kink in that way. Anyway. Yeah.
86.76% similar
The speaker acknowledges the need for a private brain and plans to experiment with permissions for it. They express a sense of urgency in addressing this need, as there are personal and important elements in their dataset that they are hesitant to share publicly at this time. The speaker emphasizes the significance of these private aspects and the consideration needed in deciding whether to make them publicly accessible.
86.14% similar
The user is expressing their strong passion for personal data and their desire to make it more accessible to people. They believe that AI will enable easy access to personal data through natural language, particularly as part of augmented reality (AR). They are interested in Mind Palace and hope to contribute to the project if there is a good fit. The user has a diverse technological background and is unafraid to take risks in exploring new technologies. They are driven by their love for exploring and sharing experiences and knowledge, and they want to make personal data sharing easier and more discoverable for themselves and others.
85.24% similar
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.
The writer expresses enthusiasm for the potential of recent technological advancements, specifically with regard to enhancing individual engagement and benefit rather than corporate application. They believe in the potential of mobile devices to run large language models, ultimately changing how individuals interact with computers and information. They draw parallels between early computing and the current focus on corporate-oriented technology, expressing a preference for the democratization of such capabilities. The writer feels optimistic about the direction of technology and its potential for widespread value, despite current perceptions.
84.99% similar
The speaker believes that censoring large language models is a violation of free speech, as it prevents individuals from expressing themselves. They acknowledge that language can potentially cause harm, but argue that censorship should be a personal choice. They express the belief that in the future, individuals will have the ability to choose whether they want content censored for them or not. The speaker stresses that the decision to censor or not should be left to the individual rather than being imposed from the top down.