{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/671eb2c703cd8742ea3cb466/671eb40d08eefaeb809e5651?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Co-Intelligence: Living and Working with AI - Ethan Mollick","description":"<p>🤝 GET THE BOOK</p><p>Support my work and invest in your future by purchasing the book through my ⁠<a href=\"https://amzn.to/3Ag5K3S\" rel=\"noopener noreferrer\" target=\"_blank\">Amazon affiliate link</a>⁠. Your purchase helps to keep this show running.</p><p><br></p><p>📖 BOOK SUMMARY</p><p>\"Co-Intelligence\" by Ethan Mollick explores the implications of large language models (LLMs) and their rapid development on society. The book examines the capabilities of these AI systems, including their capacity for creativity, writing, problem-solving, and even emotional expression. It argues that LLMs act remarkably like humans, raising questions about their impact on various aspects of human life, including work, education, and creativity. The text analyzes the potential benefits and risks of LLMs, highlighting the importance of understanding the ethical considerations involved in developing and using AI. It emphasizes the need to develop a collaborative approach to AI, working in tandem with these systems to leverage their strengths while mitigating their weaknesses. The book advocates for a future where AI and humans can work together as co-intelligences, transforming industries and enriching our lives.</p><p><br></p><p>⚠️ AI DISCLOSURE</p><p>This podcast episode was created with AI assistance and, while I strive for accuracy, it may contain unintentional inaccuracies or hallucinations despite my best efforts to verify information. Always cross-reference critical information.</p>","author_name":"Daniel Bender"}