Andrew Mayne shares his non-traditional journey into AI, from being a magician and illusionist to becoming a science communicator at OpenAI. He discusses his early experiences with AI as a child, his interest in robotics and AI, and his fascination with chatbots. Andrew also talks about his experience using AI to deceive great white sharks and how it led him to explore the capabilities of text models like GPT-2 and GPT-3. He emphasizes the importance of prompt engineering and the need to carefully craft prompts to get desired outputs from the models. Andrew Mayne emphasizes the importance of having a clear idea of the desired output and breaking down complex tasks into manageable steps. He shares his experience in teaching magic tricks and how it helped him in prompt engineering. Mayne discusses the evolution of prompt engineering and the challenges and hype surrounding it. He also talks about his personal tech stack and the tools he uses for writing, coding, and research. Mayne expresses his excitement about the accessibility of AI models and the potential impact of AI in education. He also discusses his concerns about deep fakes and the need for trust and authentication in communication.
00:00 The Future of Prompt Engineering and Model Capabilities
34:26 Exploring the Trial and Error Process in AI Development
37:11 The Impact of Generative AI on Publishing and Education
41:23 The Proliferation of Open Source AI Models
48:15 Challenges and Concerns Related to Deep Fakes
01:02:11 The Future of AI in Employment and Human Value