Future of Life Institute Podcast

Joe Carlsmith joins the podcast to discuss how we change our minds about AI risk, gut feelings versus abstract models, and what to do if transformative AI is coming soon. You can read more about Joe's work at https://joecarlsmith.com. Timestamps: 00:00 Predictable updating on AI risk 07:27 Abstract models versus gut feelings 22:06 How Joe began believing in AI risk 29:06 Is AI risk falsifiable? 35:39 Types of skepticisms about AI risk 44:51 Are we fundamentally confused? 53:35 Becoming alienated from ourselves? 1:00:12 What will change people's minds? 1:12:34 Outline of different futures 1:20:43 Humanity losing touch with reality 1:27:14 Can we understand AI sentience? 1:36:31 Distinguishing real from fake sentience 1:39:54 AI doomer epistemology 1:45:23 AI benchmarks versus real-world AI 1:53:00 AI improving AI research and development 2:01:08 What if transformative AI comes soon? 2:07:21 AI safety if transformative AI comes soon 2:16:52 AI systems interpreting other AI systems 2:19:38 Philosophy and transformative AI Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/

Dan Hendrycks joins the podcast to discuss evolutionary dynamics in AI development and how we could develop AI safely. You can read more about Dan's work at https://www.safe.ai Timestamps: 00:00 Corporate AI race 06:28 Evolutionary dynamics in AI 25:26 Why evolution applies to AI 50:58 Deceptive AI 1:06:04 Competition erodes safety 10:17:40 Evolutionary fitness: humans versus AI 1:26:32 Different paradigms of AI risk 1:42:57 Interpreting AI systems 1:58:03 Honest AI and uncertain AI 2:06:52 Empirical and conceptual work 2:12:16 Losing touch with reality Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/

Roman Yampolskiy joins the podcast to discuss various objections to AI safety, impossibility results for AI, and how much risk civilization should accept from emerging technologies. You can read more about Roman's work at http://cecs.louisville.edu/ry/ Timestamps: 00:00 Objections to AI safety 15:06 Will robots make AI risks salient? 27:51 Was early AI safety research useful? 37:28 Impossibility results for AI 47:25 How much risk should we accept? 1:01:21 Exponential or S-curve? 1:12:27 Will AI accidents increase? 1:23:56 Will we know who was right about AI? 1:33:33 Difference between AI output and AI model Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/

Nathan Labenz joins the podcast to discuss the economic effects of AI on growth, productivity, and employment. We also talk about whether AI might have catastrophic effects on the world. You can read more about Nathan's work at https://www.cognitiverevolution.ai Timestamps: 00:00 Economic transformation from AI 11:15 Productivity increases from technology 17:44 AI effects on employment 28:43 Life without jobs 38:42 Losing contact with reality 42:31 Catastrophic risks from AI 53:52 Scaling AI training runs 1:02:39 Stable opinions on AI? Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/

Nathan Labenz joins the podcast to discuss the cognitive revolution, his experience red teaming GPT-4, and the potential near-term dangers of AI. You can read more about Nathan's work at https://www.cognitiverevolution.ai Timestamps: 00:00 The cognitive revolution 07:47 Red teaming GPT-4 24:00 Coming to believe in transformative AI 30:14 Is AI depth or breadth most impressive? 42:52 Potential near-term dangers from AI Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/

Maryanna Saenko joins the podcast to discuss how venture capital works, how to fund innovation, and what the fields of investing and philanthropy could learn from each other. You can read more about Maryanna's work at https://future.ventures Timestamps: 00:00 How does venture capital work? 09:01 Failure and success for startups 13:22 Is overconfidence necessary? 19:20 Repeat entrepreneurs 24:38 Long-term investing 30:36 Feedback loops from investments 35:05 Timing investments 38:35 The hardware-software dichotomy 42:19 Innovation prizes 45:43 VC lessons for philanthropy 51:03 Creating new markets 54:01 Investing versus philanthropy 56:14 Technology preying on human frailty 1:00:55 Are good ideas getting harder to find? 1:06:17 Artificial intelligence 1:12:41 Funding ethics research 1:14:25 Is philosophy useful? Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/

Connor Leahy joins the podcast to discuss the state of the AI. Which labs are in front? Which alignment solutions might work? How will the public react to more capable AI? You can read more about Connor's work at https://conjecture.dev Timestamps: 00:00 Landscape of AI research labs 10:13 Is AGI a useful term? 13:31 AI predictions 17:56 Reinforcement learning from human feedback 29:53 Mechanistic interpretability 33:37 Yudkowsky and Christiano 41:39 Cognitive Emulations 43:11 Public reactions to AI Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/

Connor Leahy joins the podcast to discuss GPT-4, magic, cognitive emulation, demand for human-like AI, and aligning superintelligence. You can read more about Connor's work at https://conjecture.dev Timestamps: 00:00 GPT-4 16:35 "Magic" in machine learning 27:43 Cognitive emulations 38:00 Machine learning VS explainability 48:00 Human data = human AI? 1:00:07 Analogies for cognitive emulations 1:26:03 Demand for human-like AI 1:31:50 Aligning superintelligence Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/

Lennart Heim joins the podcast to discuss options for governing the compute used by AI labs and potential problems with this approach to AI safety. You can read more about Lennart's work here: https://heim.xyz/about/ Timestamps: 00:00 Introduction 00:37 AI risk 03:33 Why focus on compute? 11:27 Monitoring compute 20:30 Restricting compute 26:54 Subsidising compute 34:00 Compute as a bottleneck 38:41 US and China 42:14 Unintended consequences 46:50 Will AI be like nuclear energy? Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/

Lennart Heim joins the podcast to discuss how we can forecast AI progress by researching AI hardware. You can read more about Lennart's work here: https://heim.xyz/about/ Timestamps: 00:00 Introduction 01:00 The AI triad 06:26 Modern chip production 15:54 Forecasting AI with compute 27:18 Running out of data? 32:37 Three eras of AI training 37:58 Next chip paradigm 44:21 AI takeoff speeds Social Media Links: ➡️ WEBSITE: https://futureoflife.org ➡️ TWITTER: https://twitter.com/FLIxrisk ➡️ INSTAGRAM: https://www.instagram.com/futureoflifeinstitute/ ➡️ META: https://www.facebook.com/futureoflifeinstitute ➡️ LINKEDIN: https://www.linkedin.com/company/future-of-life-institute/