Transcript: Overall, I think these last submissions that I've talked about are powerful. And with Tanaki as the muser, I think can come into reality in a very meaningful way. I don't want to be interacting with just GPT personally. Some people might, but that's not what I want. I think a lot of the brain that I have described, we have seen people take it in a business direction. Upload all of your company's documents to this thing and now you have an amazing knowledge base. That's great, but that does not apply to me in any meaningful way. The questions that I am going to ask are very different than the questions a business will ask. And I do truly believe that more of the power of these tools that we have is in the hands of individuals and people than it is in the hands of corporations. I think it will still make tons of money in corporations. I have no doubt about that. But I really do believe that in the hands of people, this technology has the potential to change the world dramatically for the better. It will change the world no matter what. But I think if we can provide people amazing tools for themselves and for their friends, that is an extremely positive thing. And on the silicon point that I am talking about, I want to do a little bit of research to make sure this is accurate. But given the fact that we can already run large language models on an iPhone, that is a possibility we can do it. I suspect that in a few years time, we will likely get GPT 3.5 or GPT 4 level performance being able to run on a mobile device. That is an interesting concept in and of itself. I think that this has the ability to profoundly change how we interact with computers. I think it has profound impact on how we interact with information generally speaking. What does the internet look like when you have something that has that capability? Also, it reminds me a bit of early computing. I could be entirely off base here. I tend to be extremely optimistic about local compute. So that is my bias. But early computers were mainframes. They were not for the individual. They were not for the individual. They were for companies and we had terminals to access them. In a large way, we have gone back to that because that has been what is most profitable at this moment. But the democratization of this kind of compute, I believe, will come to everyone. It is inevitable that it will come to everyone. And I would rather be on that curve. And given that possibility, I think we will not always need to rely on open AI. It is very possible that businesses will rely on open AI just like they rely on IBM to this day. Open AI is not going away. But the kinds of data that businesses are doing is a lot different than the kinds of data that I am doing. The scale of that is entirely different. So the scale of compute required is also entirely different. This is to say, I really believe in this direction going forward. And I think it has the possibility to bring a lot of value. Even though right now it looks a bit gloomy in some way. It is for nerds.
88.77% similar
The speaker emphasizes their unique strategy regarding AI, recognizing the existing interest in such pervasive technology and its demonstrated potential. They argue that success in this field isn't solely about attractive designs but also about hiring the best engineering talent to make technological advancements possible. Acknowledging their own limitations, the speaker notes the importance of fundamental technology developed by their friends and the need for substantial technological work, implying that simple technology orchestration is not enough for sustained success. Despite the rambling nature of their thoughts, the speaker seems to aim for a blend of business and consumer offerings, driven by core technological innovation and top engineering expertise.
The speaker aspires to be part of communities that empower individuals to explore their data and bring value back to themselves. They are willing to take a job in such a space and believe it's worth doing. The goal is to build tools that make it easy for the individual to work with their data directly on a web page. They plan to move to a more reactive front end using Next.js and React, designing a feed and query system possibly using natural language. The speaker also mentions working on embedding audio and ensuring embeddings are accessible. The text discusses the process of obtaining and manipulating data and emphasizes the importance of experimentation and innovation. It uses the metaphor of building a playground to illustrate the iterative nature of the process, acknowledging that initial attempts may be imperfect but can be improved upon through learning from mistakes. The writer anticipates challenges but expresses a hope to avoid negative consequences and eventually achieve success. Finally, the text concludes with a lighthearted remark and a reference to going to sleep.
87.80% 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 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.
The tension between ownership and renting, particularly in the context of technology and cloud computing, is a curious and complex topic that the speaker is exploring. They highlight the idea of effectively renting compute time and space through services like OpenAI and Microsoft Azure, and how reliance on the cloud has become a prevalent aspect of modern computing. The speaker also acknowledges the convenience of storing data in the cloud, even though they may own a computer. They mention OpenAI's work in this area, specifically their assistance API, and express a desire to further explore and challenge their own perspectives on these concepts.