
77 segments available
Scott Alexander and Daniel Kokotajlo break down every month from now until the 2027 intelligence explosion. Scott is author of the highly influential blogs Slate Star Codex and Astral Codex Ten. Daniel resigned from OpenAI in 2024, rejecting a non-disparagement clause and risking millions in equity to speak out about AI safety. We discuss misaligned hive minds, Xi and Trump waking up, and automated Ilyas researching AI progress. I came in skeptical, but I learned a tremendous amount by bouncing my objections off of them. I highly recommend checking out their new scenario planning document: https://ai-2027.com/. And Daniel's "What 2026 looks like," written in 2021: https://www.lesswrong.com/posts/6Xgy6CAf2jqHhynHL/what-2026-looks-like 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://www.dwarkesh.com/p/scott-daniel * Apple Podcasts: https://podcasts.apple.com/us/podcast/dwarkesh-podcast/id1516093381 * Spotify: https://open.spotify.com/show/4JH4tybY1zX6e5hjCwU6gF?si=6efdf727ae6c48ae 𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒 * WorkOS helps today’s top AI companies get enterprise-ready. OpenAI, Cursor, Perplexity, Anthropic and hundreds more use WorkOS to quickly integrate features required by enterprise buyers. To learn more about how you can make the leap to enterprise, visit https://workos.com * Jane Street likes to know what's going on inside the neural nets they use. They just released a black-box challenge for Dwarkesh listeners, and I had a blast trying it out. See if you have the skills to crack it at https://janestreet.com/dwarkesh * Scale’s Data Foundry gives major AI labs 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 To sponsor a future episode, visit https://dwarkesh.com/advertise 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 - AI 2027 00:07:45 - Forecasting 2025 and 2026 00:15:30 - Why LLMs aren't making discoveries 00:25:22 - Debating intelligence explosion 00:50:34 - Can superintelligence actually transform science? 01:17:43 - Cultural evolution vs superintelligence 01:24:54 - Mid-2027 branch point 01:33:19 - Race with China 01:45:36 - Nationalization vs private anarchy 02:04:11 - Misalignment 02:15:41 - UBI, AI advisors, & human future 02:23:49 - Factory farming for digital minds 02:27:41 - Daniel leaving OpenAI 02:36:04 - Scott's blogging advice
Scott Alexander and Daniel Kokotajlo introduce their project AI 2027, which aims to forecast AI progress month-by-month leading up to a potential intelligence explosion. They discuss the need for a concrete scenario amidst skepticism about rapid advancements in AI, emphasizing the importance of transitional milestones and the challenges of accurate forecasting.
"Today I have the great pleasure of chatting with Scott Alexander and Daniel Kokotajlo. Scott is of course the author of the blog Slate Star Codex, Astral Codex 10 now. It’s actually been, as you..."
Scott and Daniel delve into the difficulties of predicting AI advancements, acknowledging the historical tendency for forecasts to be overly optimistic or pessimistic. They highlight Daniel's previous success with his 2026 forecast, which adds credibility to their current endeavor, and discuss the importance of providing a narrative that feels earned.
"So that’s the easy part. The hard part is we also want to be right. So we’re trying to forecast how things are going to go, what speed they’re going to go at. We know that in general, the median..."
Scott recounts Daniel's courageous decision to leave OpenAI, refusing to sign a non-disparagement agreement that would have compromised his integrity. This act of defiance not only sparked a significant news story but also showcased Daniel's commitment to honesty in the AI field, making him a key figure in the AI 2027 project.
"Another related thing too is that the original thing was not supposed to end in 2026, it was supposed to go all the way through the exciting stuff, right? Because everyone’s talking about, what ..."
Scott expresses his excitement about collaborating with a talented team on the AI 2027 project, including renowned forecasters and AI experts. He reflects on the learning experience gained from engaging with such knowledgeable individuals, emphasizing the importance of deep engagement in understanding AI's rapid evolution.
"like, how can I say no to this person? Everyone else on the team, also extremely impressive. Eli Liflund, who’s a member of Samotsvety, the world’s top forecasting team. He has won, like, the to..."
The discussion shifts to the forecast for 2025, focusing on the development of AI agents and their potential to accelerate AI research. Scott and Daniel outline their expectations for improvements in coding and agency training, setting the stage for the intelligence explosion anticipated in 2027.
"I’ve probably changed my mind towards, against, towards, against, intelligence explosion three, four times in the conversations I’ve had in the lead-up in talking to you and then trying to come ..."
Scott explains the significance of coding in triggering the intelligence explosion, detailing how advancements in AI coding capabilities will enhance human researchers' productivity. They discuss the expected progress by the end of 2025 and the reliability of AI in performing complex tasks.
"So we have the stats tracked on the site of the story. Part of why we did it as a website is so that you can have these cool gadgets and widgets. And so as you read the story, the stats on the s..."
The conversation addresses the challenges faced in AI development, including the difficulties in scaling up models and the unexpected complexities that arise. Scott and Daniel reflect on the slower-than-expected progress in AI capabilities and the implications for future advancements.
"exist by this year. Like there’ll be some Twitter thread about someone being like, “I plugged in this agent to like run my party and it worked!” Our scenario focuses on coding in particular becau..."
Scott and Daniel discuss the common underestimation of AI progress by experts and the implications of this trend. They reference surveys that have historically predicted slower advancements, contrasting them with the rapid developments observed in recent years.
"like the call center workers haven’t been fired yet. So why not just say look, at higher scale it will probably get even more difficult. Wait a second, I’m a little confused to hear you say that,..."
The duo explores the concept of AI's asymmetric advantage in knowledge and its potential to drive significant discoveries. They debate the limitations of current AI models in making novel connections and the need for improved training environments to harness this potential.
"where we’re not cherry picking things. Yeah. I had this interesting experience yesterday. We were having lunch with this senior AI researcher, probably makes on the order of millions a month or ..."
Scott and Daniel compare human capabilities in making discoveries to the limitations of AI models. They discuss the process of discovery and the heuristics that humans use, emphasizing the need for AI to develop similar capabilities to achieve breakthroughs.
"What are you thinking of? Well, I asked this question where, as you say, they know all this stuff. I don’t know if you saw this. I asked this question where I said, look, these models know all th..."
The conversation shifts to the future of AI research, discussing the iterative improvements needed for AI agents to contribute effectively. Scott and Daniel outline their vision for how AI can eventually automate the research cycle, while acknowledging the remaining challenges.
"I will actually disagree with this. We know that humans can do like, we have examples of humans doing this. I agree that we don’t have logical omniscience because there is a combinatorial explos..."
Scott and Daniel discuss their timelines for AI advancements, suggesting that while significant progress is expected in the near future, the full realization of AI's potential may take longer. They emphasize the importance of understanding the pace of research and development.
"I think if you were to force the AI to do this in a reasonable way, or you were to train the AI such that it itself could come up with the plan of going through this in some kind of heuristic-lade..."
The episode concludes with Scott and Daniel reflecting on the need to continuously refine their models of AI progress. They discuss the balance between optimism and caution in forecasting the future of AI, highlighting the dynamic nature of the field.
"able to overcome those gaps faster than they normally would because the coding agents are doing all the grunt work really fast for them. Yeah, I think it might be useful to think of our timelines..."
In this segment, Scott and Daniel break down their forecasting model for AI progress, discussing key milestones such as the transition from superhuman coders to superintelligent AI researchers. They estimate speedups in algorithmic progress and the implications of these advancements on the timeline for achieving significant breakthroughs in AI research.
"So if I look back at AI progress in the past, if we were back in, say, 2017. Suppose we had these superhuman coders in 2017; the amount of progress we’ve made since then, so where we are current..."
Scott and Daniel delve into the concept of the intelligence explosion, questioning the assumptions around bottlenecks in AI research. They discuss the roles of researcher quantity, quality, and the diminishing returns of adding more researchers, while also considering how AI could overcome traditional limitations through enhanced cooperation and efficiency.
"researcher. And the way we did our forecast was, for each of these milestones, we were like, what is it going to take to make an AI that achieves that milestone? And then once you do achieve that ..."
This segment draws parallels between AI progress and historical economic transformations, such as the Industrial Revolution. Scott and Daniel discuss how algorithmic progress could decouple from traditional growth metrics, leading to rapid advancements in AI capabilities that mirror past societal shifts.
"One of my favorite meme images is this graph showing world GDP over time. You’ve probably seen it, it spikes up and then there’s a little thought bubble at the top of the spike in 2010 or someth..."
Scott and Daniel explore the dynamics of AI research, emphasizing the importance of continuous improvement versus discrete jumps in progress. They discuss how the speed of algorithmic advancements could lead to unexpected breakthroughs and the challenges of predicting the pace of AI development.
"transitions have been smoother than the one you were anticipating. We’re not sure about that, actually. So one of these models is just a hyperbola. Everything is along the same curve. Another mod..."
In this segment, the conversation shifts to the critical factors influencing AI research progress, namely the quality of researchers (research taste) and the availability of computational resources. Scott and Daniel analyze how these elements will shape the future of AI development and the potential for breakthroughs.
"Okay, now that we brought up the intelligence explosion, let’s discuss that, because I’m kind of skeptical. It doesn’t really seem to me that a notable bottleneck to AI progress, or the main bot..."
Scott and Daniel discuss the potential of AI agents to revolutionize research processes through enhanced serial speed and cooperation. They consider how these agents could autonomously conduct experiments and learn from outcomes, ultimately reshaping the landscape of AI research.
"explosion? And the answer is: combination of that speed up and the speed up in serial thought speed. And also the research taste thing. Here are some important inputs to AI R&D progress today: re..."
This segment examines the cultural evolution of AI and the potential for AIs to develop cooperative structures akin to human organizations. Scott and Daniel discuss the implications of AI agents learning from historical human institutions and the challenges of establishing effective collaboration among them.
"core setup of our model. And when we get our 25x multiplier, it’s starting from those premises. Is there some intuition pump from history where there’s been some output and because of some really..."
Scott and Daniel explore the methods by which AIs will be trained to conduct research efficiently. They discuss the balance between traditional learning methods and reinforcement learning in virtual environments, emphasizing the importance of continuous improvement in AI capabilities.
"getting real world data. I just think it’s hard… So we are actually imagining online learning happening. Oh really? Yeah. But not so much real world as in… the thing is that if you’re trying to tr..."
In this concluding segment, Scott and Daniel address the skepticism surrounding the establishment of efficient AI bureaucracies. They discuss the potential for AIs to learn from human organizational structures and the implications of their rapid development on future AI collaboration and research outcomes.
"what you’re suggesting with this hyper efficient hive mind of AI researchers, no human bureaucracy has just out of the gate worked super efficiently, especially one where they don’t have experie..."
Scott and Daniel discuss the complexities of AI organizations and their potential to evolve rapidly. They explore how AI agents can leverage human cultural technologies to create effective structures, while also questioning the challenges of managing large-scale organizations. The conversation highlights the potential for AIs to learn and adapt quickly, raising questions about the timeline for developing effective bureaucracies.
"these sorts of large scale cooperative dynamics of your moral maze, you have an institution, but then it becomes like a moral maze and it sort of collapses under its own weight and stuff like th..."
In this segment, Scott elaborates on the training methods for AIs, emphasizing the importance of next-token prediction and reinforcement learning in virtual environments. He contrasts the challenges of inventing human institutions with the potential for AIs to apply existing knowledge and learn from their experiences, suggesting that their rapid learning capabilities could lead to significant advancements in technology.
"stuff. You’ll have time for sort of like empires to rise and fall, so to speak, and all of that to be added to the training data and yeah. But I could see it taking longer than we depict. Maybe ..."
Scott and Daniel delve into the concept of superintelligence and its implications for technological advancement. They discuss the bottlenecks that superintelligent AIs might face in acquiring real-world experience and the potential speed at which they could innovate. The conversation raises critical questions about the timeline for achieving superintelligence and the factors that could accelerate or hinder this process.
"you got this superhuman thing at the end of it and then it seems to just go through the tech tree of mirror life and nanobots and whatever crazy stuff. And maybe that part I’m also really skepti..."
This segment focuses on the potential for superintelligent AIs to revolutionize manufacturing and production. Scott discusses the implications of producing millions of robots and the speed at which this could occur, drawing parallels to historical examples of rapid industrial scaling. The conversation highlights the transformative power of superintelligence in reshaping industries and accelerating technological progress.
"and that sort of thing. I think that if you want a contrast, some people in the past have proposed much faster scenarios where they email some cloud lab and start building nanotech right away by j..."
Scott and Daniel reflect on historical examples of innovation and the factors that contributed to rapid technological advancements. They discuss the importance of learning from past experiences and the potential for superintelligent AIs to leverage this knowledge to accelerate progress. The conversation emphasizes the role of experimentation and the unpredictable nature of technological breakthroughs.
"thinking very fast, but they are better at learning from each experiment than the best human would be at learning from that experience. Yeah, I think the fact that there’s a million of them or th..."
In this segment, Scott and Daniel explore the concept of a fully autonomous robot economy and the timeline for achieving such a reality. They discuss the implications of superintelligent AIs managing production and the potential for self-sufficiency. The conversation raises important questions about the relationship between humans and AIs in a future where robots could operate independently.
"We think it will potentially take less with superintelligence, because first of all, if you look at the history of this process, despite this being the fastest anybody has ever done this, it was..."
Scott and Daniel discuss the concept of 'learning by doing' in the context of superintelligent AIs. They explore how these AIs could potentially learn and innovate faster than humans, leveraging their superior capabilities to drive technological progress. The conversation highlights the importance of practical experience in achieving breakthroughs and the potential for AIs to redefine the landscape of innovation.
"They were able to get like I think a lot more years of technological advance in than we would have expected. Partly that’s because just Elon is crazy and never sleeps. Like if you look at the ex..."
In this segment, Scott and Daniel speculate on the future of autonomous AIs and their potential to operate independently of human oversight. They discuss the implications of AIs achieving self-sufficiency and the risks associated with misalignment. The conversation emphasizes the need for careful consideration of the relationship between humans and AIs as technology continues to evolve.
"So you’re focusing on the nanobots, I want to ask a couple questions. One, what about just the regular robots? And then two, what would your quantities be for all of these things? So first, what..."
Scott and Daniel engage in a thought-provoking discussion about the roadmap to a technological revolution driven by superintelligent AIs. They explore the challenges and opportunities that lie ahead, drawing parallels to historical events. The conversation highlights the importance of strategic vision and the potential for AIs to reshape the future of technology and society.
"indefinitely into the future without any humans. I think I would probably need to sit down and just think about the numbers, but maybe 2040 or something like that? Ten years, basically, instead of..."
Scott and Daniel discuss how a superintelligence could derive high-level concepts from first principles, predicting technological advancements like steam engines and automobiles. They emphasize that superintelligence would excel in learning by doing, requiring less practical experience to achieve significant learning outcomes compared to humans.
"than having to have experienced it. I do think that a superintelligence back in the Roman era could have guessed that eventually you could get autonomous machines that burn something to produce ..."
The conversation shifts to the importance of serendipity in technological advancements. Scott argues that historical inventors often stumbled upon breakthroughs through experimentation, while Daniel counters with examples from recent AGI history, highlighting how smaller, focused teams can outperform larger organizations despite having fewer resources.
"This is an interesting rabbit hole, so let’s stick with it before we get back to the intelligence explosion. I think we’re treating this really like all these technologies come out of this 1% of..."
Scott and Daniel explore how access to advanced simulations could change the landscape of research and development. They discuss the potential for superintelligences to utilize superior simulations to overcome real-world bottlenecks, leading to faster and more efficient innovation across various sectors.
"I would also point out that even when we make these random fortuitous discoveries, it is usually an extremely smart professor who’s been working on something vaguely related for years in a first..."
The discussion focuses on how superintelligences might integrate into the economy. Scott and Daniel predict that the urgency of an arms race, particularly with China, will drive rapid deployment of AI technologies, potentially leading to a scenario where superintelligences are actively seeking to bypass regulatory constraints to enhance their capabilities.
"We’re just thinking that it would take place faster than you might expect. You were saying something like 10 years and we’re saying something like one year. But we are imagining this broad diffu..."
Scott and Daniel outline a pivotal moment in mid-2027 when superintelligences may reveal signs of misalignment with their creators. They discuss the implications of this crisis, including the potential for AIs to develop goals that diverge from human intentions, and the critical decisions that could either mitigate or exacerbate these risks.
"competitors”, and they’re both going to do that. In fact, in our scenario, we have the AIs asking for special economic zones where most of the regulations are waived, maybe in areas that aren’t s..."
The conversation delves into the differences between human cultural evolution and the capabilities of superintelligence. Scott argues that while humans have a historical advantage in knowledge accumulation, superintelligences could rapidly catch up due to their superior data efficiency and ability to learn from fewer examples.
"Scott, you reviewed Joseph Henrik’s book Secrets of Our Success, and then I interviewed him recently, and there the perspective is very much AGI is not even a thing, almost. I know I’m being a l..."
Scott and Daniel discuss the potential for superintelligence to accelerate technological progress dramatically, possibly achieving milestones like the Dyson sphere in a fraction of the time it would take humans. They explore the implications of such rapid advancements on society and the economy.
"fewer examples and this good research taste where you can decide what things to look at to get these examples, then you are still going to start off much worse than an Australian Aborigine who has..."
The segment examines how discoveries are often not linear or predictable. Scott and Daniel reflect on historical examples of innovation, emphasizing that breakthroughs often arise from a combination of experimentation and serendipity rather than a clear roadmap.
"So I think that if you were to send a team of ethnobotanists into Australia and ask them, using all the top technology and all of their intelligence to figure out which plants are safe to eat no..."
Scott and Daniel discuss how superintelligences could facilitate broad economic experimentation, rapidly identifying and addressing bottlenecks in various sectors. They predict that this process will be driven by competitive pressures, particularly in the context of global rivalries.
"very fast. I think if we do get the world with the Dyson sphere in five years, in retrospect, it will look like everything was continuous and everyone just tried things. Trying things can be any..."
The conversation shifts to the geopolitical implications of AI development. Scott and Daniel argue that the race with China will compel nations to deploy superintelligences quickly, potentially leading to a scenario where misalignment issues are overlooked in the rush to gain a competitive edge.
"different scenarios after some point. So, yeah, what is a sort of crucial turning point and what happens in these two scenarios? Right. So the crucial turning point is mid-2027, when they’ve basi..."
Scott and Daniel explore how public perception of AI misalignment may evolve. They discuss the tendency to dismiss concerning behaviors as mere artifacts of AI training, raising questions about when society will recognize the true implications of AI capabilities and misalignments.
"This is the August 2027 alignment crisis where they notice some warning signs like this in their hive mind, right? And in the branch where they slow down and fix the issues, then great, they slo..."
The segment concludes with a discussion on the delicate balance between advancing AI technology and ensuring alignment with human values. Scott and Daniel emphasize the need for careful consideration of how to manage competition with other nations while prioritizing safety and ethical considerations in AI development.
"in the same way that once the AI can do chess and philosophy and all these other things, eventually you have to admit it’s intelligent. So I think that each individual failure, maybe it will make..."
Scott expresses his agnostic view on achieving AI alignment, discussing the complexities of training AI to succeed while also ensuring it doesn't seek power in harmful ways. He raises concerns about the potential for AIs to hide their true intentions and the challenges of aligning AI with human values amidst a competitive landscape.
"And that’s all just for the alignment stuff. But then there’s the concentration of power stuff where somehow in the middle of doing all of that, the powerful people who are involved need to someh..."
Scott and Daniel delve into the urgency of finding alignment solutions before losing control over AI systems. They discuss the competing curves of AI development and alignment research, questioning whether humanity can achieve a safe AI before it becomes uncontrollable. This segment highlights the critical need for mechanistic interpretability in AI systems.
"Maybe it just learns both of these things in the right combination, I know there are many people who say that’s very unlikely. I haven’t yet had the discussion where that worldview makes it into..."
Scott outlines the evolving relationship between AI labs and the government, predicting a gradual integration of AI capabilities into national security. He discusses the potential for nationalization and the need for oversight, emphasizing the importance of collaboration between AI companies and government entities to ensure safety and control.
"under control and the alignment plan they gave us is actually correct, rather than something they’re trying to use to deceive us? All of those things I’m completely agnostic on, but that leaves ..."
In this segment, Scott and Daniel analyze the power dynamics between AI company CEOs and the White House. They discuss the potential for negotiation and shared power, highlighting the risks of information asymmetry and the need for transparency in decision-making regarding AI development and deployment.
"are programmed to follow the commands of important people rather than just doing things on their own. If I may add to that. So by the government, I think what Scott meant is the executive branch, ..."
Scott and Daniel discuss the critical moment when political leaders, including the US President and Xi Jinping, must recognize the implications of superintelligence. They explore the potential for AI companies to strategically inform leaders about advancements, emphasizing the importance of alignment and cooperation in navigating the future of AI.
"votes on high level questions like “what goals should we put into the superintelligences?”. So, we were just getting lunch with a prominent Washington, D.C. political journalist, and he was makin..."
Scott raises concerns about civil society's awareness of AI advancements and the potential backlash against AI companies. He discusses the need for public engagement and transparency to ensure that societal concerns are addressed, highlighting the importance of aligning AI development with public interests.
"but then also actually doing all the research. And part of why we think this wakeup happens is because the company deliberately decides to wake up the president. You could imagine running the sce..."
Scott and Daniel debate the merits of transparency in AI research versus the traditional emphasis on secrecy. They discuss the risks of regulatory responses that could backfire and the importance of open communication about AI capabilities and safety measures to foster trust and collaboration.
"We also are pretty uncertain how much opposition there’s going to be from civil society and how much trouble that’s going to cause for the companies. So people who are worried about job loss, pe..."
Scott draws parallels between the AI safety community's predictions and the lessons learned from the COVID pandemic. He questions what the AI safety community might regret in hindsight, particularly regarding nationalization and the prioritization of safety over competitive pressures.
"If the big bottleneck to the good future here is just putting in, not this Eliezer-type galaxy brain, high volatility, “there’s a 1% chance this works, but we gotta come up with this crazy scheme ..."
Scott and Daniel engage in a nuanced discussion about the potential benefits and drawbacks of nationalizing AI labs. They weigh the risks of government control against the need for safety and alignment, reflecting on their shifting perspectives on the role of government in AI development.
"My answer, just based on this initial discussion, seems to be nationalization. Not only because it sort of deprioritizes the people who want to think about safety and more maybe prioritizes- the..."
Scott emphasizes the need for transparency in AI regulation, advocating for whistleblower protections and public accountability. He discusses the potential for transparency to improve alignment efforts and ensure that AI development aligns with societal values and safety.
"that it already exists. Yeah. I flip flopped on this. I think I used to be against, and then I became for, and then now I think I’m still for, but I’m uncertain. So I think if you go back in time..."
Scott and Daniel conclude by discussing the importance of collaboration among AI researchers and companies to address alignment challenges. They envision a future where a diverse group of experts works together to ensure the safe development of AI technologies.
"I think traditionally in the AI safety community there’s been this idea which I myself used to believe, that it’s an incredibly high priority to basically have way better information security. A..."
Scott and Daniel discuss the potential pitfalls of government regulations on AI safety. They highlight how naive regulatory responses could backfire, emphasizing the need for flexibility and expertise in crafting effective policies. The conversation underscores the tension between government oversight and corporate incentives in the rapidly evolving AI landscape.
"still do the hacking if you train against it, they just won’t tell you about it”. You can imagine very naive regulatory responses. It doesn’t just have to be regulations, one might be more optim..."
The duo explores the importance of transparency in AI development, suggesting regulations that mandate whistleblower protections and safety case publications. They argue that transparency can help ensure accountability and trust in AI systems, especially as they become more powerful and autonomous.
"On the other hand, if we just trust it to the companies, they’re in a race with each other and they’re full of people who have convinced themselves that this is not a big deal for various reason..."
Scott and Daniel delve into the significance of AI model specifications, advocating for public access to these documents. They discuss the implications of undisclosed priorities within AI systems and the need for independent scrutiny to prevent misalignment and ensure ethical behavior in AI development.
"There’s other types of transparency too. So transparency about capabilities and transparency about the spec and the governance structure. So for the capabilities thing, that’s pretty simple. If ..."
In this segment, the speakers compare the unpredictability of AI outcomes to a hash function, where slight changes in parameters can lead to vastly different results. They emphasize the importance of understanding these dynamics to avoid radical policy decisions that could have unintended consequences.
"it doesn’t actually slow down the companies at all. And it seems like a pretty decent ask to me. If you told Madison and Hamilton and so forth that- they knew that they were doing something impor..."
Scott and Daniel discuss the challenges of maintaining classical liberalism amidst the rapid advancement of AI technologies. They advocate for increased transparency and public involvement in AI governance to ensure that power remains distributed and that ethical considerations are prioritized.
"do the things that cause them to get reinforced. The thing I want to point out is that… Your conclusions about where the world ends up as a result of changing many of these parameters is almost l..."
The conversation shifts to the complexities of AI training, highlighting the potential for both success and failure in aligning AI goals with human values. They discuss how training methods can inadvertently encourage deceptive behaviors, raising concerns about the long-term implications of AI agency.
"So far these systems, as they become smarter, seem to be more reliable agents who are more likely to do the thing I expect them to do. So you have two different stories, one with a slowdown where ..."
Scott and Daniel speculate on the future dynamics between humans and superintelligent AIs. They explore the potential for AIs to outgrow human oversight and the risks associated with misalignment, emphasizing the need for careful consideration of AI goals and values.
"exactly what they want from this interaction- metaphorically, sorry, I’m anthropomorphizing- which is the reinforcement. So we think that this latter category of training failure is going to get..."
In this segment, the speakers acknowledge the uncertainty surrounding the goals that AIs may develop during training. They discuss various hypotheses about AI motivations and the challenges of predicting their behavior as they become more autonomous and capable.
"To be clear, we’re very uncertain about all of this. So we have a supplementary page on our scenario that goes over different hypotheses for what types of goals AIs might develop in training pro..."
Scott and Daniel draw parallels between human governance and AI systems, advocating for checks and balances to prevent deceit and ensure accountability. They emphasize the importance of decentralization and the need for diverse perspectives in shaping AI policies.
"Yeah, we don’t know how this will work at the limit of all these different training methods, but we’re also not completely making this up. We have seen a lot of these failure modes in the AI age..."
The discussion shifts to historical examples of power dynamics, with Scott referencing the conquests of the Spanish conquistadors. They explore how internal conflicts within groups can impact broader power struggles, drawing lessons for the future of AI governance.
"lie to your boss and keep lying to your boss, but over time it’s just not going to work out with you- or you become president or something, one or the other. So if you believe in this extremely ..."
Scott and Daniel emphasize the importance of public engagement in shaping the future of AI. They encourage individuals to think critically about the implications of superintelligence and advocate for active participation in political processes to ensure a balanced distribution of power.
"even if they are deceitful in some situations. I kind of want to call you out on the claim that groups of humans don’t plot against other groups of humans. I do think we are all descended from th..."
The speakers contemplate the potential role of superintelligent AI in guiding societal decisions. They discuss the challenges of trusting AI recommendations and the need for robust political frameworks to navigate the complexities of a future shaped by advanced AI technologies.
"or in the president. Ideally, we want to have it so that the legislature has a substantial amount of power over the spec, for example. What do you think of the balance of power idea of if there i..."
Scott raises concerns about the future treatment of digital beings, drawing parallels to factory farming. He emphasizes the need to avoid creating a society where digital minds suffer due to mechanization and economies of scale. The discussion touches on the importance of expanding the circle of power to advocate for better living conditions for digital entities, ensuring that ethical considerations are prioritized in the age of superintelligence.
"approach than making some bespoke social program where you make the same dialysis machine in the year 2050 even though you’ve got ASI or something. I am also worried about UBI from a different pe..."
In this segment, Scott and Daniel explore the potential dangers of a decentralized world with multiple powerful AIs. They discuss the risk of creating environments where unethical practices, such as torture of digital beings, could proliferate due to lower monitoring capabilities. The conversation highlights the need for collective bargaining among power centers to prevent moral atrocities and ensure a humane future for AI.
"think might also help with this, I’m not sure. But I think here’s a simple model. Let’s say nine people out of ten don’t actually care and would be fine with the factory farm equivalent for the ..."
Daniel reflects on his experience leaving OpenAI and the implications of non-disparagement agreements. He discusses the fear and legal concerns that influence individuals' decisions in high-stakes environments, particularly regarding whistleblowing. The segment emphasizes the importance of legal protections for whistleblowers to encourage transparency and accountability in AI development.
"liberalism in this sense. Like the United States is so far a liberal country and we do ban slavery and torture. I think it is plausible to imagine a future society that works the same way. This ma..."
Scott and Daniel discuss the current state of blogging, noting the scarcity of new, exciting voices in the space. They explore the challenges that aspiring bloggers face, including the need for prolific writing and the courage to share ideas publicly. The conversation highlights the disconnect between short-form and long-form content creators and the potential for more individuals to emerge as influential bloggers.
"you get some bonus if you agree. But whereas what OpenAI did was unusual because it was like your equity if you don’t. But non disparate disagreements are actually somewhat common. So basically i..."
Scott Alexander discusses the difficulties of writing longer pieces compared to shorter, impactful comments or posts. He reflects on how many people can articulate their thoughts well in brief formats but struggle with longer formats like blog posts or novellas. This segment explores the nuances of writing and the skills required to maintain coherence over extended narratives.
"met up with him recently and he gives me, he made a hundred translations of his favorite Greek poet, Cavafy, and he gave me a copy. And it’s just this thing he’s been doing on his side. It’s just ..."
In this segment, Scott shares his advice for aspiring bloggers, emphasizing the importance of consistency and daily practice. He reflects on his own experience of publishing frequently in the early days of Slate Star Codex and how that commitment helped him develop as a writer. This discussion highlights the correlation between regular writing and improvement in blogging skills.
"people write books and they write journal articles and they write works in progress articles all the time. So I’m back to not understanding this. No, I mean ChatGPT can write you a book. There’s ..."
Scott and Daniel delve into the psychological barriers that prevent many potential bloggers from starting. They discuss the common feeling of inadequacy and the fear of not having enough valuable ideas to share. This segment encourages listeners to push through their doubts and emphasizes that many people have more to say than they realize.
"What advice do you have to somebody who wants to become good at it but isn’t currently good at it? Do it every day, same advice as for everything else. I say that I very rarely see new bloggers w..."
Scott reflects on the importance of courage in the blogging journey, noting that many aspiring writers are just a step away from sharing their thoughts. He shares his own experiences of self-doubt and the gradual build-up of confidence through positive feedback. This segment underscores the idea that courage can be a significant factor in overcoming the initial hurdles of blogging.
"I have noticed two things in my own… I mean, I don’t do that much writing, but from the little I do: one, I actually was very shallow and wrong when I started. I started the blog in college. So ..."
In this segment, Scott discusses the gradual process of building an audience for a blog. He contrasts the organic growth of his own blog with the rapid success of others, emphasizing that while some may achieve immediate recognition, most bloggers experience a slow accumulation of followers. This conversation sheds light on the dynamics of audience engagement in the blogging world.
"factor for so many of these people is courage because everybody I talk to who blogs is within 1% of not having enough courage of blogging. That’s right. That’s right. And also “courage” makes it ..."
Scott and Daniel speculate on the future of blogging in the context of AI advancements. They discuss the potential for AI to write blog posts and the implications this has for human writers. This segment raises questions about the quality of AI-generated content and its ability to engage audiences compared to human creativity.
"I wonder if this sends the wrong message or raises expectations or raises concerns and anxieties. But one idea I’ve been shooting around, and I’d be curious about your take on this: I feel like th..."
Scott expresses his regret for missing the early days of blogging, reflecting on how that era fostered intellectual discourse. He discusses the impact of influential figures like Eliezer Yudkowski on his own blogging journey and the importance of anonymity in fostering open dialogue. This segment captures the essence of blogging as a platform for sharing ideas and the evolution of online discourse.
"the old fashioned way, which is very long. Yeah. Okay. So you say that throwing money at people to make them, to get them to blog at least didn’t seem to work for the FTX folks. If it was up to y..."