AI for The Next Era

This blog is a summary of the contents in this Youtube video:

Language model APIs have the potential to create a trillion dollar search product, revolutionizing the market and creating powerful human-level chatbot interfaces. Business owners should think about how to develop an enduring business model based on language models. AI has accelerated and advanced science, with various tools being developed to enhance progress, as well as self-improving AI to tackle the ‘alignment problem’. However, the hype of AI should be tempered and applied strategically where appropriate. We should also be prepared for a seismic shift in cost structure as the cost of intelligence and energy rapidly declines.

AI and Metaverse technologies have the potential to revolutionize the pace of life science research, with AI providing educational and tutoring tools and Metaverse enabling a new level of computer interaction. However, while AI and technology can speed up development, laws of nature and simulators need to be improved before AI can fully impact this field. People’s values have evolved over time, and the idea of family-building and how it can co-exist with high-tech still remains debated. AGI is the equivalent of a median human, and in the next 20-30 years issues about wealth distribution, access to AI, and governance will become an important social issue. 🔬⚡️🤖

OpenAI has been researching new applications of technology and has uncovered two key uses: reskilling people to adapt to new tech, and providing tools that enhance the productivity of the user without replacing them. Additionally, advancements have led to higher-skill jobs being filled with AI instead of lower-skill ones like previously predicted. To create a successful language model startup, data and compute must be used to create their own models, different from the competition, along with prompt engineering and a data flywheel. It is difficult to predict the future of AI, but it is important to stay positive and plan for the best.