You’ll be surprised to hear DeepMind's founder believes AGI could be just 5-10 years away, which is much sooner than you might expect, especially considering how far we've come. You’ll learn that AGI, from DeepMind's perspective, isn't just about smart machines; it's about systems showing all the cognitive abilities we humans have, because our minds are the only proof general intelligence is even possible. You’ll get a clear picture of why today's impressive AI models aren't true AGI yet, as the speaker highlights their surprising inconsistencies – like acing complex math but struggling with basic counting. You’ll dive into the big debate about whether AGI will arrive in a sudden 'phase shift' or a more gradual way, and you’ll hear why an incremental path is considered more likely, even with powerful AI. you founded deep mind with the idea that you would solve intelligence and then use intelligence to solve everything else. these systems sometimes still trip up on high school maths or even counting the number of letters in a word...that level of sort of difference in performance across the board is is you know not consistent enough and therefore shows that these systems are not fully generalizing yet. What is DeepMind's definition of Artificial General Intelligence (AGI)? According to the speaker, why is the human mind used as the reference for defining AGI? What is a key limitation of current LLMs that prevents them from being considered AGI, according to the speaker? What are the two main perspectives discussed regarding the arrival of AGI? According to the speaker, what geopolitical issue is important to consider regarding the development of AGI systems? You’ll get a fascinating glimpse into how AI is expected to supercharge our productivity in the coming years, potentially making you feel 'superhuman' in your creative output. The discussion encourages you to consider how new and better jobs are likely to emerge, much like with past technological shifts, rather than just seeing AI as a threat to existing roles. You’ll ponder the unique value of human empathy and care in a world with advanced AI, realizing that some roles will always demand a human touch, like the example of a nurse. You’re given direct advice on how to prepare for this future: immerse yourself in these new AI systems, understand how they work, and master skills like prompting to become incredibly productive. if you think of the next 5 10 years as being um, the the most productive people might be 10x more productive if they are native with these tools. I don't think you'd want a robot to do that. I think there's something about the human empathy aspect of that and the care and so on that's particularly uh humanistic. What is the speaker's initial view on AI's current impact on jobs? According to the speaker, what generally happens with jobs when new technologies like AI emerge? What human quality does the speaker suggest will remain irreplaceable, even with advanced AI, using the example of nursing? What is the speaker's primary advice for students to thrive in the age of AGI? How much more productive does the speaker believe people might be in the next 5-10 years if they are 'native' with AI tools? You'll quickly grasp how deeply the values and culture of AI developers are embedded into the systems they create, making geopolitical considerations absolutely critical for the future. You'll hear a powerful explanation of AI's incredible potential to advance humanity, but also why there are serious concerns about misuse by bad actors and the technical challenges of keeping powerful AI systems safe. The discussion emphasizes why smart, international regulation for AI is crucial, and you'll understand the complex challenge of achieving global cooperation when these digital systems know no borders. You'll get a real sense of the urgency and the many unknowns surrounding AI's rapid development, realizing that while risks are currently theoretical, there's a strong call for immediate action on safety and governance. one is bad actors in whether it's individuals or rogue nations repurposing general purpose ai technology for harmful ends and then the second one is obviously the technical risk of ai itself as it gets more and more powerful more and more agentic, can we make sure we uh, the guardrails are safe around it they can't be circumvented some kind of international cooperation or or collaboration i think is what's required and then smart regulation, nimble regulation that moves as the knowledge about the research becomes you know better and better. According to the speaker, what imprint will the values and norms of designers and their culture leave on AI systems? What are the two primary risks associated with increasingly powerful AI systems, as identified by the speaker? How has the US administration's stance on AI regulation reportedly shifted compared to a few years ago? What kind of regulation does the speaker advocate for AI, given its global nature and rapid evolution? You'll hear about how AGI could solve some of the world's biggest 'root node' problems, like curing diseases and finding endless energy, potentially leading to a future where we even travel to the stars! This clip dives into the fascinating idea that AGI could radically change our mindset from one of scarcity to one of boundless abundance, making traditional conflicts over resources feel like a thing of the past. You'll get a really insightful example with water access and desalination, showing how super cheap energy from AGI could make fresh water abundant for everyone, completely changing global dynamics. It's highlighted that while AGI can give us the tools for incredible abundance, the real challenge will be shifting our collective mindset to ensure everyone benefits fairly, moving beyond our current 'zero-sum game' thinking. agi solves some of these key what i sometimes call root node problems in the world facing society. but if energy was essentially zero, there was renewable free clean energy, right? like fusion, suddenly you solve the water access problem. What is the primary societal outcome envisioned if AGI successfully addresses 'root node problems' like disease and energy? What societal challenge does the speaker highlight as still needing to be addressed, even if AGI brings radical abundance? Which problem is given as a prime example of how free, clean energy (like fusion) could solve a critical global issue? Beyond AGI's technical capabilities in achieving radical abundance, what does the speaker suggest is necessary for society to fully embrace a non-zero-sum mindset?