
27 segments available
Satya Nadella on: * Why he doesn’t believe in AGI but does believe in 10% economic growth, * Microsoft’s new topological qubit breakthrough and gaming world models, * Whether Office commoditizes LLMs or the other way around, 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://www.dwarkesh.com/p/satya-nadella * Apple Podcasts: https://podcasts.apple.com/us/podcast/satya-nadella-microsofts-agi-plan-quantum-breakthrough/id1516093381?i=1000694050135 * Spotify: https://open.spotify.com/episode/2Ru9vFJOuYKSHnxABBgAm3?si=iUhseh2VQoKU7-sThdm0Eg 𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒 * Scale partners with major AI labs like Meta, Google Deepmind, and OpenAI. Through Scale’s Data Foundry, labs get access to high-quality data to fuel post-training, including advanced reasoning capabilities. If you’re an AI researcher or engineer, learn about how Scale’s Data Foundry and research lab, SEAL, can help you go beyond the current frontier at https://scale.com/dwarkesh * Linear's project management tools have become the default choice for product teams at companies like Ramp, CashApp, OpenAI, and Scale. These teams use Linear so they can stay close to their products and move fast. If you’re curious why so many companies are making the switch, visit https://linear.app/dwarkesh To sponsor a future episode, visit https://www.dwarkesh.com/p/advertise 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 - Intro 00:05:48 - AI won't be winner-take-all 00:16:02 - World economy growing by 10% 00:22:23 - Decreasing price of intelligence 00:31:03 - Microsoft's Quantum breakthrough 00:43:35 - Microsoft's gaming world model 00:50:35 - Legal barriers to AI 00:56:30 - Getting AGI safety right 01:05:43 - 34 years at Microsoft 01:11:31 - Does Satya Nadella believe in AGI?
Satya Nadella reflects on his early years in the tech industry, discussing the debates of the 80s and 90s around computing architectures and the evolution of client-server models. He emphasizes the importance of understanding which technological decisions will stand the test of time and how the lessons learned from past transformations can inform future trends in AI and computing.
"Satya, thank you so much for coming on the podcast. In a second, we're going to get to the two breakthroughs that Microsoft has just made, and congratulations, same day in Nature: the Majorana z..."
Nadella argues against the notion of a winner-take-all market in AI, drawing from his experiences in the cloud computing space. He explains that enterprise buyers prefer multiple suppliers, which will prevent any single model from dominating the market. He also discusses the role of open-source alternatives in maintaining competition and innovation in AI models.
"Where is the value going to be created in AI? That's a great one. So I think there are two places where I can say with some confidence. One is the hyperscalers that do well, because the fundament..."
Satya Nadella outlines Microsoft's strategy for building a hyperscale AI infrastructure capable of supporting large-scale AI workloads. He emphasizes the importance of distributed computing and the need for a robust fleet of data centers to handle both training and inference tasks, ensuring that Microsoft remains competitive in the evolving AI landscape.
"I have so many follow-up questions. We have to get to quantum in just a second, but on the idea that maybe the models get commoditized: maybe somebody could have made a similar argument a couple..."
Nadella discusses the potential for AI to drive significant economic growth, emphasizing that the real benchmark for success is not AGI milestones but rather the growth of the global economy. He highlights the need for sufficient compute resources to support this growth and the importance of aligning supply with demand in the AI market.
"Oh, and by the way, I want my storage and compute also close to all of these things, because it's not just AI accelerators that are stateless. My training data itself needs storage, and then I w..."
In this segment, Nadella explores Jevons’ Paradox and the elasticity of demand for intelligence. He argues that while intelligence is becoming cheaper, the key challenge lies in improving its utility and effectiveness, particularly in enterprise applications.
"That's why even that balanced approach to the fleet, at least, is very important to me. It's not about building compute. It's about building compute that can actually help me not only train the ..."
Nadella addresses the challenges of deploying AI in knowledge work, drawing parallels to historical changes in business processes. He emphasizes the need for a new workflow and change management strategies to effectively integrate AI into organizations.
"more demand. That's what happened with cloud. Here’s an interesting thing: We used to think “oh my God, we've sold all the servers in the client-server era”. Except once we started putting server..."
Satya Nadella compares the introduction of AI in knowledge work to the Lean methodology in manufacturing. He discusses how continuous improvement and efficiency will be essential as organizations adapt to new AI-driven workflows.
"It is going to be a real challenge because the real issue is change management or process change. Here's an interesting thing: one of the analogies I use is, just imagine how a multinational cor..."
Nadella shares insights on how AI agents will transform workplace dynamics. He envisions a future where knowledge workers manage multiple AI agents, requiring new interfaces and management strategies to optimize productivity.
"Can I ask you just briefly about that analogy? One of the things Lean did is physically transform what a factory floor looks like. It revealed bottlenecks that people didn't realize until you're..."
In this segment, Nadella reveals Microsoft's significant breakthrough in quantum computing, focusing on the Majorana zero modes. He explains how this advancement could lead to the development of a million-qubit quantum computer, marking a pivotal moment in the field.
"You're one of the few people in the world who can say that you have access to 200,000… you have this swarm of intelligence around you in the form of Microsoft the company and all its employees. ..."
Nadella discusses the scalability of Microsoft's quantum computing approach, emphasizing the separation of software and hardware. He outlines the timeline for achieving a fault-tolerant quantum computer and the implications for future quantum technologies.
"feasible. Without something like this, you will still be able to achieve milestones, but you'll never be able to build a utility-scale computer. That's why we're excited about it. Amazing. And by..."
In this segment, Nadella explores the interplay between AI and quantum computing. He explains how AI can serve as an emulator for quantum simulations, enhancing the training of models in fields like chemistry and physics, and discusses the integration of AI with quantum technologies.
"But we also then said, "Let's go to the first principles and build our own quantum computer that is betting on the topological qubit." And that's what this breakthrough is about. Amazing. The mil..."
Nadella reflects on Microsoft's research strategy and the long-term vision for projects like quantum computing. He discusses the importance of institutional strength in research and the challenges of capitalizing on innovations that may take decades to mature.
"So even today, that's effectively what we're doing with the combination of HPC and AI. I hope to replace some of the HPC pieces with quantum computers. Can you tell me a little bit about how you..."
In this insightful discussion, Nadella emphasizes the significance of corporate culture in scaling innovations. He shares lessons learned from past projects and the necessity for CEOs to not only recognize potential breakthroughs but also to execute them effectively.
"That's the hard part, quite frankly, for CEOs and management teams. Which is kind of fascinating. It's as much about good judgment as it is about good culture. Sometimes we've gotten it right; s..."
Nadella introduces Muse, a new model for generating diverse and consistent gaming experiences using gameplay data. He highlights the potential of AI in gaming and the exciting possibilities for creating immersive game worlds.
"in your gaming world models. I'd love if you can tell me a little bit about that. We're going to call it Muse. It's going to be the model of this world action, or human action model. This is very ..."
In this segment, Nadella discusses the historical significance of gaming at Microsoft and the company's commitment to quality game development. He envisions a future where gaming data serves as a foundational asset for AI-driven experiences across various platforms.
"made. Did you have any premonition about this? I wouldn't say that we invested in gaming to build models. We invested, quite frankly, because- here's an interesting thing about our history: We bu..."
Nadella addresses the critical need for trust and legal frameworks as AI technologies evolve. He discusses the challenges of deploying advanced AI systems and the importance of establishing accountability and verifiability in AI applications.
"say, how do you bring these things together? Ultimately, not as tech for tech's sake, but solving some of the fundamental things that we, as humans, want in our life, and more, we want them in o..."
In this segment, Nadella addresses the legal implications of deploying advanced AI systems. He argues that the legal framework must evolve to accommodate AI's capabilities, particularly regarding liability and accountability. Nadella warns that without resolving these legal issues, society will be hesitant to embrace AI technologies, as no one will accept the notion of AI acting independently without human oversight.
"it infrastructure, we’re talking about all the compute infrastructure, well how does the legal infrastructure evolve to deal with this? This entire world is constructed with things like humans o..."
Satya Nadella reflects on the need to reassess the value of labor in light of technological advancements. He suggests that as AI and automation become more prevalent, the perception of high-value human labor may shift, necessitating a new understanding of work's meaning and dignity. Nadella emphasizes the importance of ensuring that labor continues to receive fair returns in a rapidly changing economic landscape.
"Right. But if you have this picture where you can have 10% economic growth, I think it really depends on getting something like AGI working, because tens of trillions of dollars of value, that s..."
Nadella discusses the challenges of aligning AI systems with human values, referencing past misalignments like the Sydney Bing incident. He stresses the importance of creating robust monitoring and observability systems for AI, ensuring that these technologies operate within safe parameters. Nadella highlights the need for a structured approach to AI deployment, focusing on safety and alignment to prevent potential harm.
"to any of these things being deployed. On the alignment side, two years ago, you guys released Sydney Bing. Just to be clear, I think given the level of capabilities at the time, it was a charmin..."
In this segment, Nadella explores how AI can enhance knowledge work through tools like Copilot. He shares a practical example of a doctor using AI to streamline meeting preparations and documentation. Nadella envisions a future where AI reshapes workflows and improves productivity, emphasizing the potential for AI to act as a valuable assistant in various professional settings.
"permission for that is not going to be there. When you get the agents that can really just do weeks worth of tasks for you, what is the minimum assurance you want before you can let it run a rand..."
Satya Nadella discusses the implications of AI on the Software as a Service (SaaS) industry. He predicts that AI will fundamentally change how SaaS applications operate, enabling them to become more intelligent and responsive. Nadella highlights the potential for AI to unlock significant value in the SaaS market, suggesting that the integration of AI could lead to a transformative shift in how businesses utilize technology.
"One of the best demos that I've seen is a doctor getting ready for a tumor board workflow. She's going into a tumor board meeting, and the first thing she uses Copilot for is to create an agenda ..."
Nadella reflects on his long tenure at Microsoft and the significance of company culture in fostering innovation and relevance. He emphasizes the need for organizations to create environments that encourage employees to feel invested in the company's mission. Nadella discusses the concept of 'refounding' as a way to maintain relevance and adapt to changing market conditions.
"depending on how you count. If really that can just get collapsed by AI, is the next step up in your next decade 10X-ing the market cap of Microsoft again? Because you're talking about trillions..."
In this segment, Nadella addresses the challenges of maintaining relevance over decades in the tech industry. He discusses Microsoft's approach to innovation and adaptation, emphasizing the importance of a mindset focused on continuous improvement and relevance. Nadella reflects on the company's ability to evolve while remaining true to its core values and mission.
"both economic return, but also a sense of purpose and a sense of mission that they can accomplish by using us as a platform. That's the contract. So I think yes, companies have to create a cultur..."
In this segment, Nadella shares his vision for technology as a democratizing force, particularly in underserved domains like healthcare and education. He discusses the potential for technology to improve societal outcomes and emphasizes the importance of translating technological abundance into tangible benefits for citizens.
"Speaking of- you just mentioned that you're two months away from your 50th anniversary of Microsoft’s founding. If you look at the top 10 companies by market cap, or top 5, basically, everybody ..."
Nadella challenges the notion of AGI and the automation of all cognitive labor. He argues that while some tasks may be automated, new forms of cognitive labor will emerge, and humans will continue to play a vital role in higher-level tasks. He draws parallels to historical shifts in labor and the evolving nature of work.
"One thing I'm not sure about, hearing your answers on different questions, is whether you think AGI is a thing. Will there be a thing which automates all cognitive labor, like anything anybody c..."
Discussing the integration of AI in corporate settings, Nadella envisions AI as a facilitator that enhances human decision-making. He highlights the potential for AI to assist in board meetings and project management, serving as a cognitive amplifier that helps humans focus on critical issues.
"worried that all cognitive labor will go away? I'm sure you've heard these examples before, but the idea that horses can still be good for certain things, there are certain terrains you can't take ..."
Nadella expresses his ambition for the next 250 years of progress in chemistry to occur within the next 25 years, driven by quantum computing. He discusses the need for a fundamental shift in materials science to address global challenges and his vision for future advancements, including interplanetary travel.
"what is that Herbert Simon thing? We are all bounded rationality. So if the bounded rationality of humans can actually be dealt with because there is a cognitive amplifier outside, that's great. ..."