Transcript: I'd like to mention one thing that one of Chiaki's friends mentioned to her. And I want to point it out as an example of basically what people expect computers to do already. And what Chiaki's friend... It's someone who is in her cancer therapy group. And she gets sad and depressed because she has cancer. And she was talking with GPT about this and, you know, what ways can she help herself in some way. And that is really fascinating. And the problem is that GPT doesn't know anything about you. And it can only give you the generic suggestions. It can't give you the specific suggestions like... The generic suggestion is call a friend. The specific suggestion is you should call Chiaki because you have a lot of shared context on this problem with her. And it's not that that is explicit. But it is implied because the computer does know you. And what I want to point out is that this girl, Chiaki's friend, said... Well, why doesn't GPT just suggest to call Chiaki? Or just call Chiaki on its own because that's what I need right now. And I want to highlight that as something that people already expect computers to do. People expect that computers do know them. And with AI and personal AI, I do think that leaning into this thing that the computer should know you seems to make a lot of sense to me. And I also want to say that to answer that question... How do you get the computer to solve that problem? You could build a specific application to do that. But really what it implies is that effectively it's the brain that we're building. And then having modules in the brain that understand your context when you ask it a question. And that it knows people and it knows these things. That it can take the generic GPT answer to that question and then go start asking itself... Oh, is there something relevant in my memory to this? Are there people that might be relevant to asking this question? And I find that clearly there is consumers that already want this. So obviously there is some use case.
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.
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.
The speaker expresses concerns and questions about the potential for a more personalized AI, drawing parallels between personal AI and individual spirituality. They touch on the idea of an AI like Tanaki inspiring creativity and collaboration, and grapple with how to align their personal vision for AI with the existing narrative and pitch. They emphasize the importance of both aspects, indicating a desire to see both realized without compromising on either. Ultimately, the speaker acknowledges that they are still working through their thoughts and seeking a way to bring their ideas to life within this context.
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