The video demonstrates how OpenAI’s O1 and Perplexity Researcher can be used to generate and analyze questions about artificial intelligence and stock predictions, showcasing two operational modes of O1 for providing both detailed and opinionated answers. The presenter emphasizes the speculative nature of stock predictions and offers technical insights into the implementation of the system, while promoting their Patreon for access to code and additional resources.
In the video, the presenter explores the capabilities of OpenAI’s O1 and the Perplexity Researcher by demonstrating how they can be used to generate and analyze questions related to artificial intelligence and stock predictions. The process begins by asking a broad question, such as when AI will be achieved, and instructing O1 to generate up to 20 related questions. These questions are then used to gather detailed answers from Perplexity, which are subsequently combined to form a comprehensive response. The presenter highlights the importance of examining a topic from multiple perspectives to arrive at a well-rounded conclusion.
The video showcases two modes of operation for the O1 model: normal mode and opinionated mode. In normal mode, the model provides a detailed answer along with reasoning, while in opinionated mode, it gives a more direct answer with a clear conclusion. For instance, when asked about the timeline for achieving artificial intelligence, the opinionated mode predicts that it will be accomplished by 2050, while the detailed analysis suggests a range from the mid-2020s to the mid-21st century. This dual approach allows users to gain insights from both analytical and straightforward perspectives.
Another example discussed in the video involves predicting Nvidia’s stock price by 2030. The presenter emphasizes that this should not be considered financial advice but rather an experimental use of language models. The O1 model generates questions about key factors influencing Nvidia’s stock price, and Perplexity provides detailed answers. The final projections range from $800 to $4,000 per share, with an opinionated estimate of $3,000. The presenter reiterates the importance of treating these predictions as speculative rather than definitive financial guidance.
The video also includes a technical overview of the code used to implement this system. The presenter explains how to set up the necessary API keys for both Perplexity and OpenAI, as well as how to define the number of questions to be processed. The code is designed to efficiently query Perplexity and gather responses in parallel, allowing for a comprehensive analysis of the topic at hand. The presenter mentions that the code will be available for download on their Patreon, encouraging viewers to experiment with it themselves.
Finally, the presenter promotes their Patreon page, where viewers can access the code files and other projects, as well as various courses on coding and app development. They highlight the benefits of becoming a patron, including access to over 300 projects and the THX Master Class, which teaches efficient coding practices. The video concludes with an invitation for viewers to connect with the presenter for one-on-one consulting and to explore the resources available on their website.