The podcast discusses the exciting applications of ChatGPT Vision and the potential collaboration between influential figures in the AI industry. Other topics include publishers blocking AI crawlers, concerns about generative AI, Amazon's bedrock release, and the renewed interest in the metaverse. The hosts also talk about AI security, LLMs as a new operating system, and the diverse use cases of GPT for vision, such as real-time object information and converting images into live websites. They explore additional use cases of ChatGPT Vision, including increased productivity, educational purposes, and understanding complex street parking rules.
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Quick takeaways
GPT-4 Vision has impressive use cases, from enhancing visual research to revolutionizing interior design and website development.
Google's separation of publishers' content being indexed for search and becoming AI training data gives more control and options to publishers.
The establishment of a new center for AI security by the NSA highlights the increasing role of AI in defense and intelligence systems.
Deep dives
Impressive Use Cases of GPT-4 Vision
GPT-4 Vision is generating excitement with its impressive use cases even before its official release. The collaboration between Apple designer Johnny Ive, Sam Altman, and Softbank has sparked interest, with talks of creating an AI device that aims to provide a more natural and intuitive user experience. The possibilities for GPT-4 Vision are vast, from enhancing visual research and recognition tasks to revolutionizing interior design and website development. The reduction in barriers between idea and execution is evident as GPT-4 Vision can turn a mere screenshot into actual working code. Higher-order interpretation, such as understanding diagrams and recognizing architectural styles, showcases the potential for creative expression. The ability to decipher complex parking rules and provide immediate answers further highlights the practicality of GPT-4 Vision.
Google's Opt-out Feature for Publishers
Google's new separation of publishers' content being indexed for search and becoming AI training data offers more control and allows publishers to opt out if they do not want their content to be used for AI training. This move demonstrates Google's efforts to be a good steward and give users more options while getting ahead of potential regulatory and legal challenges. The discussion around AI data training and fair use in the age of AI continues, with publishers like Medium actively seeking a coalition of platforms to navigate this issue.
NSA's Center for AI Security
The National Security Agency (NSA) has announced the establishment of a new center for AI security, recognizing the increasing role of AI in defense and intelligence systems. As the United States seeks to maintain its AI advantage, the center aims to strengthen AI capabilities in these domains. The CIA's development of a chat GPT specifically for intelligence agencies further emphasizes the military establishment's commitment to advancing AI technologies. Human decision-making remains crucial, but AI's support is recognized as indispensable.
GPT as an Emerging Computing Paradigm
Andre Carpathy of OpenAI suggests that LLMs, like chatbots, should be seen as the kernel process of a new operating system rather than mere conversation engines. Carpathy envisions LLMs orchestrating input and output across modalities, providing program writing and execution capabilities, facilitating internet access, and offering memory storage and retrieval. Carpathy's perspective indicates that LLMs are part of an emerging computing paradigm with vast untapped potential.
Use Cases of Chat GPT with Vision
Chat GPT with vision brings forth a variety of exciting opportunities. It enhances visual research by accurately identifying landscape images and providing relevant information. It enables interior design suggestions and creative architectural naming, combining classic and modern elements. Building websites and coding becomes more accessible, allowing users to transform screenshots into live prototypes and have GPT write the necessary code for whiteboard sessions. Chat GPT also excels in explaining diagrams, aiding in education and higher-order interpretation tasks. Lastly, it proves invaluable for practical uses, such as deciphering complex parking rules and providing immediate answers. Despite some limitations, the overall potential and usefulness of Chat GPT with vision are evident.
ChatGPT Vision hasn't even been broadly rolled out yet and already people who do have access are showing off some amazing use cases. Before that on the Brief: have the AI phone wars begun?
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