Get 25% off Blinkist Annual premium! Start your 7-day free trial by clicking here: http://blinkist.com/machinelearningstreettalk This is the first part of the Yannic Kilcher interview we posted recently! LAION petition mentioned: https://www.openpetition.eu/petition/online/securing-our-digital-future-a-cern-for-open-source-large-scale-ai-research-and-its-safety Yannic's channel: @YannicKilcher Tim Scarfe and Yannic Kilcher engaged in a wide-ranging discussion on the rise of powerful language models like ChatGPT and GPT-4 and their implications. While they believe these models will significantly transform industries and jobs, they do not foresee mass unemployment or existential risks from superintelligence. Scarfe and Kilcher think most people will adapt to work with AI, as they did with smartphones. The key will be learning to effectively apply these new tools. Regarding concerns about bias and misinformation, they acknowledge these are issues but not fundamentally new problems - people have always spread misinformation, and we must develop better digital literacy and detection methods. Regulating the technology itself likely will not solve underlying social challenges. Though skeptical of superintelligence, Scarfe and Kilcher expect models will become very capable in narrow domains, sometimes in ways beyond human understanding. But human judgment will remain critical to properly apply and constrain them. They believe progress should be encouraged if we are thoughtful and deliberate. Overall benefits likely far outweigh risks. Rather than limiting access, Scarfe and Kilcher support distributing models widely so researchers and users can better understand, improve and constrain them. Regulation and oversight still matter, but restricting progress seems misguided and unlikely to succeed. While powerful models may transform our lives, Scarfe and Kilcher expect human creativity and values to endure. With prudent development and policymaking, language models could usher in a new era of possibility. But we must be vigilant and deliberate to ensure the responsible and equitable progress of this technology. Overall, Scarfe and Kilcher express optimistic realism about the rise of language models. With open and proactively guided progress, they foresee emerging capabilities enhancing rather than diminishing human potential. But we must be willing partners in developing and applying these tools, not hapless bystanders. In shaping our future with AI, our values and judgment will be vital - these technologies remain a means, not an end. Their promise depends on human wisdom and oversight. TOC 0:00:00 - Introduction 0:03:09 - Background and Motivation 0:03:29 - AI Frameworks and Approaches 0:06:05 - Impact of Language Models 0:18:54 - Misinformation and Autonomy 0:29:43 - Superintelligence and AI Risk 0:45:15 - Discussion on the fear of superintelligence 0:51:37 - Understanding GPT-4 and its capabilities 0:55:55 - Comparing AI systems to human intelligence