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EP 8: The Accelerationists

The Last Invention

Thu Nov 20 2025

Summary

"The Last Invention" – EP 8: The Accelerationists (November 20, 2025)

Overview

This episode of The Last Invention, hosted by Andy Mills and Gregory Warner, dives into the world of AI accelerationism at the AI for Good conference in Geneva. Exploring the ideas, hopes, and controversy surrounding accelerationism—the belief that advancing AI quickly is not only necessary but beneficial—the hosts speak with key figures including legendary investor Reid Hoffman and “effective accelerationist” Beth Jesos. The show examines who the accelerationists are, their arguments, the polarization within tech, and the tension between hopes for progress and the fears of AI’s risks.

Key Discussion Points and Insights

1. The AI For Good Conference: The Buzz of AI Optimism

[02:53–10:20]
- The hosts attend the UN-backed conference in Geneva, bustling with world leaders, tech companies, and demos of AI applications.
- Optimism dominates: Most attendees express excitement about AI's potential to address huge problems—climate change, poverty, medical advances (e.g., age-reversing pills), and accessibility.
- Highlights include:
  - [04:33–05:15] David Sinclair and a team working with AI on anti-aging medicine envisioning people routinely living to 120+.
  - [06:11–07:32] French neuroscientist Olivier Ulier demonstrates a brainwave-reading headset that allows the paralyzed Rodrigo Mendez to drive a Formula 1 car using only his mind.
  - [07:53–10:10] Dutch roboticist Guido de Kron showcases insect-sized drones for precision agriculture, suggesting a future where “farms will buzz with robotic insects helping end world hunger.”

Quote

"We are the generation that is determined, ladies and gentlemen, determined to shape AI for good."
—Andy Mills [03:34]

2. Who Are the Accelerationists?

[16:00–21:00]
- Accelerationists are techno-optimists who argue that rapid development and deployment of AI will drive prosperity and solve pressing global issues.
- The movement encompasses a spectrum—from capitalist investors (Sam Altman, Peter Thiel, Marc Andreessen) to socialist academics (Alex Williams), each united by the belief in pushing AI forward, but differing on their reasons and ultimate visions.
- Some, like AI lab leaders, accept AGI could be risky but see preparedness and speed as vital for positive outcomes—and for beating global competitors.
- Others downplay existential risks as overblown, regarding doomerism as a drag on progress and prosperity.

Quote

"Our entire civilization, our entire culture is predicated on accelerating technological change."
—Peter Thiel (quoted) [18:31]

3. Two Faces of Accelerationism: Hoffman and Jesos

[21:01–31:14]
- Reid Hoffman: Legendary investor, OpenAI board member, early “PayPal mafia” member. He's enthusiastic about AI's promise but dislikes the accelerationist label. He sees the era as a “Cambrian explosion” level inflection point.
- Beth Jesos (Xtropic co-founder, Effective Accelerationist leader): Advocates a proactive, almost ideological, campaign to “flood the culture” with techno-optimism to combat spreading pessimism and regulatory “safetyism.”
- Jesos’ “effective accelerationism” is a deliberate countermovement, driven by the idea that society’s best shot is to bet big on AI now.

Memorable Quotes

“Accelerate or die—and those are our choices.”
—Beth Jesos [22:02]

“This is perhaps the most important moment in human history—maybe past the invention of fire.”
—Reid Hoffman [21:01]

4. Why Speed? Promises of the Accelerated Future

[23:28–25:35]
- Beth Jesos lays out the benefits: ultra-cheap, personalized education; universal telemedicine; AI-driven industrial booms. Accelerationists see rampant fears about job loss as backward; instead, they forecast robust growth and prosperity.
- Both Jesos and Hoffman see AI as supercharging human capabilities, especially in language-driven domains.

Key Segment

[23:52] Reid Hoffman: “If everyone had the equivalent of a doctor in their pocket, that was free...”

5. Accelerationism as a Response to Pessimism and Over-Regulation

[26:00–31:14]
- Jesos discusses the concept of “hyperstition”—the idea that beliefs and memes can shape reality. He argues pessimism, overregulation, and “safetyism” choke innovation, and that flooding the discourse with optimism is a form of societal self-defense.
- Excess safety culture, in his view, leads to stagnation by letting centralized institutions accumulate unchecked power.

Quote

“Anxiety is a state where you give up more agency, you give up your freedoms... In a way, the more you are scared, the more power you give up to centralized institutions.”
—Beth Jesos [28:10]

6. Balancing Risk and Reward: Hoffman's Portfolio View

[35:39–39:39]
- Hoffman critiques viewing AI as a singular, standalone existential risk. Instead, he views it as part of humanity’s larger “risk portfolio” (nuclear war, pandemics, etc.). He argues AI on balance will decrease existential risk through its problem-solving capacity.
- On the feared mass job displacement, Hoffman says we never transition easily into new eras but the net upside will be enormous—likening AI to an “industrial revolution of the mind.”

Quote

“Existential risk for humanity is a portfolio... even as [AI] is going, it has a much higher likelihood or probability of decreasing the overall existential risk portfolio.”
—Reid Hoffman [37:22]

7. AI “Scouts” and the Limits of AI Safety

[41:14–44:38]
- Jesos acknowledges some value in AI safety research but believes it's overemphasized, likening the “AI alignment” community to a cottage industry arguing for its own existence.
- He doubts humanity will ever have complete control over increasingly complex AI systems, likening control to adjusting pretty basic system “knobs,” as in monetary policy, rather than total steering.
- Hoffman confirms OpenAI once had, perhaps, “moderately too much fear” among team members and highlights the futility of calls to halt progress—people who care will slow down, but adversaries (or profit-motivated competitors) won’t, making such efforts self-defeating.

8. The End Game: Opportunity, Agency, and Societal Upheaval

[49:05–52:14]
- The conversation takes a hopeful turn: Jesos says accelerationism can be a unifying, inspirational movement, promising that a “rising tide floats all boats” if optimism and agency are embraced.
- Both Jesos and Hoffman see the coming era as deeply transformative—potentially tumultuous, echoing the Industrial Revolution with all its chaos and opportunity, but not necessarily doomed to repeat history’s worst mistakes.

Quotes

“If you believe you can change things, you will actually change things.”
—Beth Jesos [51:04]

“You have to be iterating, you know, kind of iterate deployment and be thinking about it and navigating as you're kind of going.”
—Reid Hoffman [39:58]

9. Reflection: The Debate's Stakes and The Road Ahead

[53:23–54:48]
- Hoffman tempers the optimism: transitions will be hard, but humanity has more tools (including AI itself) to smooth the ride.
- “[AI] will be more impactful” than the industrial revolution, with potentially religious fervor for some, and deep skepticism for others.

Quote

“As we gather this afternoon, we're still in the earliest days of one of the most important technological revolutions in the history of the world.”
—Reid Hoffman [54:20]

Notable Quotes & Moments with Timestamps

“Accelerate or die—and those are our choices.” (Beth Jesos, 22:02)
“Our entire civilization, our entire culture is predicated on accelerating technological change.” (Peter Thiel, 18:31)
“Existential risk for humanity is a portfolio... [AI] has a much higher likelihood or probability of decreasing the overall existential risk portfolio.” (Hoffman, 37:22)
“If you believe you can change things, you will actually change things.” (Beth Jesos, 51:04)
“Fear is always the easy one. Like in any new technology, fear will be more rhetorically compelling.” (Reid Hoffman, 48:26)

Timestamps for Key Segments

[02:53–10:20] – AI For Good conference and optimism
[16:00–22:00] – Introducing the accelerationists, their diversity and motives
[21:01–31:14] – Hoffman & Jesos: motivations, backgrounds, different accelerationisms
[23:28–25:35] – Visions of benefits: education, healthcare, jobs
[26:00–31:14] – Hyperstition, safetyism, the campaign for optimism
[35:39–39:39] – Hoffman's risk framework and historical analogies
[41:14–44:38] – Skepticism on AI safety research, self-defeating “slowing down” arguments
[49:05–52:14] – Accelerationism as hope and agency, societal transformation reflection
[53:23–54:48] – How tough the transition might be, lessons of past revolutions

Conclusion

The Accelerationists episode offers a deep, candid, and often provocative look into one of the central ideological divides at the heart of the AI revolution. It introduces listeners to the main arguments for AI acceleration—more prosperity, liberation from misery, and potentially a less risky world—and juxtaposes these with enduring fears about control, safety, and the unpredictable nature of rapid technological change. Listeners are left with challenging and timely questions: Should society embrace rapid change and risk? Or try to rein in the pace at the expense of potential upsides? As the podcast hints, the argument has only just begun.

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Transcript

Andy Mills (0:00)

Hi, everyone. This is Andy. And before we get to today's episode, I just wanted to say a quick thank you to everybody out there who has been sharing the series. It is because of you that we have been a success. We're very grateful. And I wanted to talk a little bit about our hope for the future of the press and share a recommendation with you. The field of journalism, it is no secret, is one with a checkered history. You can go back 200 years ago, and Thomas Jefferson was saying that the man who never looks in the newspaper is better informed than he who reads them. And the truth itself, he said, becomes suspicious by being put into that polluted vehicle. Pretty tough stuff, President Jefferson. And we know from polling that right now, again, much of the country shares a version of that sentiment. With trust in the media hitting a new historic low year after year after year, here at Longview, we are working hard to earn back that trust. We aim to build a reputation of fairness and openness and to do our part to forge a more honest and trustworthy press in the future. And one of the organizations that we look up to because they're already paving the way forward for that, are our friends over at Tangle. Every day, Tangle publishes this newsletter and podcast where they summarize the most influential arguments coming from the right, coming from the left, coming from the center. And I think it's a genuine beacon for where our future industry can go. And this is not a paid advertisement. Tangle is legitimately someone who we have collaborated with in the past and we hope to in the future. And as a part of that collaboration, Tangle is offering a 40% discount on a subscription to all of you who listen to the show. And so if you want to go check that out, please go to readtangle.com invention Again, that is readtangle.com invention. I think you're going to love what they're doing over there. And again, thank you so much for listening. Now onto the show. Test one, test two. Okay. We are at the AI For Good conference in Geneva, Switzerland, and it is packed.

Gregory Warner (2:36)

This is the last invention. I'm Gregory Warner.

Andy Mills (2:39)

AI is here, and you could argue that we're in a new reality where we need to recognize not just the pace, but the permanence of change.

Gregory Warner (2:53)

Back in the summer of 2025, Andy Mills and I went to this conference hosted by the United Nations.

Andy Mills (2:59)

We are the AI generation, called AI for Good. And simply put, the goal of AI for Good is to help solve the world's most pressing challenges using AI, where.

Gregory Warner (3:11)

Matthew Bol (12:12)

Seeing which stories are amplified or ignored depending on the outlet. Ground News helps you step outside the filter bubbles that shape most people's news diets, giving you a fuller picture of what's actually happening. I really think that if you like this podcast, you're going to like their mission. Go to groundnews.com invent to get 40% off the same unlimited access vantage plan that we use. You can even sign up to stay up to date with the biases in your coverage proactively with the weekly blind spot report delivered directly to your inbox. This is a great way to support them and the work that they do because Ground News is a subscriber supported platform. We appreciate what they're up to, we appreciate their support for this podcast. So go check them out and make sure to use our link ground news.com invent so they know we sent you. This episode of the Last Invention is brought to you by fire, the foundation for Individual Rights and Expression There's a pattern that you can trace throughout history. In ancient Athens, Socrates was put to death for asking tough questions of the powerful. Centuries later, monarchs banned and burned books they considered dangerous. And in the last century, authoritarian governments shut down newspapers, censored broadcasts, even jailed their critics. The struggle was always the who gets to decide what people can know. Today, that struggle is playing out in a new arena, and the risk now is subtler search results that quietly vanish, recommendation engines that steer us towards safe and comfortable answers, and AI filters that can suppress ideas before we ever even see them. That's where FIRE comes in. Fire has spent decades defending free inquiry on our campuses, in the courts, and in our culture. And now, through a $1 million grant program in collaboration with the Cosmos Institute, they are supporting projects that keep free thought alive in the era of AI. Join us today at the fire.org thelastinvention by supporting FIRE, you're protecting the future of free inquiry in America and ensuring that tomorrow's most important questions can still be asked. Once again, visit thefire.org thelastinvention and thanks. The Last Invention is sponsored by Cozy Earth. Around the holidays, I always look forward to the same moment when everything slows down, the lights are twinkling, there's a blanket, a movie, and some time where no one is rushing anywhere. It's my favorite part of the season, and this year Cozy Earth has basically turned that moment into a gift. Their Bubble Cuddle blanket is exactly what it sounds like. Incredibly soft, textured and luxurious. Without being fussy. It'll become the go to blanket for all your cozy moments. For fireside nights, for lounging on the couch, or for curling up and watching the Grinch with your kids for the 10,000th time. They also make these Bamboo pajama sets that are lightweight and sleep much cooler than cotton. It's one of those gifts that people actually end up using every day long after Christmas morning has passed. For the people in your life who are impossible to shop for that don't really need anything, you're giving them an excuse to slow down and enjoy the moment. And one of the best parts, it's risk free. Cozy earth gives you 100 nights to try their products and a 10 year warranty. Although once you feel them, you won't be sending them back. Right now, Black Friday has come early at Cozy Earth and you can stack our code invention on top of their site. Wide sales for up to 40% off. These deals won't last, so start your holiday shopping today and if you get a post purchase survey, tell them you heard about Cozy Earth right here on on the last invention. Wrap the ones you love in luxury with Cozy Earth.

Beth Jesos (28:22)

Again, it's like hyperstition. Having beliefs about the world being in a certain state in the future amplifies its likelihood. And so I sought out to steer us towards an optimistic future by spreading sort of optimism so that people could realize these techno optimistic futures. And clearly this is throughout everything. This is the reason, unfortunately, there's been enough of this sort of overregulation that we can't build anything in the physical world anymore. It's very hard to build housing, it's very hard to build railways. The medical field is highly overregulated. The cost of discovering drugs has scaled exponentially. The cost of housing is too high, the cost of education is too high. These are all sectors where there's been far too much regulation and there's been this sort of adding too much process, too many regulations, giving too much top down control, too much top down power to those that control these institutions. And in a way, the more you are scared, the more anxious you are. Then you give up more agency, give up more your freedoms, you give up almost everything, you give up control to these centralized institutions and these committees and you give up your power. And so again, anxiety is a state where usually you're inclined to take action to reduce uncertainty about the future. And so by inducing anxiety, it serves those that are trying to kill variants, because that feels like appeasing. It's like, ah, if we let you be free, then there's a potentially very bad outcome. Let's focus on that very bad outcome. Never mind the upsides and your freedoms and so on, let's focus on that very bad outcome. Give me control, give me power and I will keep you safe and you'll feel at peace. But until then, I will keep beating this drum that you are not safe, you should be very afraid and you should give me power. And so we had to change towards a culture of techno optimism, of encouraging variants, encouraging exploration. Let's reimagine how we do everything. Let's reimagine every institution. We have to adapt. And so the choice was pretty clear. It's either adapt or die, as we say, accelerate or die. And those are our choices. And so we chose to accelerate. And part of that was fighting sort of the pervasive doomerism that was again instrumental to the same old people that want to centralize control, kill variants and accrue power. And there's always an argument to be made that there are risks, right? There's always. But people tend to underestimate the reward, especially given that it is exponential. And our brains can't quite fathom exponential rewards.

Reid Hoffman (37:30)

An existential risk that adds in a new existential risk. Right. That's how I look at the existential risk thing. That'll be the first part. I want to do all three answers. Second part is I refer to AI as a cognitive industrial revolution. The transformation is equivalent or more than the industrial revolution. The industrial revolution, you might say, gave us physical superpowers and gave us manufacturing and transport and a bunch of other stuff. And, and this is mental superpowers. And the mental superpowers may even be more important and more transformational in various ways. And so the upside is as important. But by the way, the transition is very difficult. I don't think there's any way that we as human beings and societies go through these transitions without a lot of difficulty and turmoil and chaos. But the upsides are possibilities of, like, for example, I co founded Manus AI with Siddhartha Mukherjee for trying to do drug cures for cancer and other kinds of things. The upsides are just spectacular. Now this gets to the last question, which is kind of part of the reason I broke into third is part of what I think you have to be is kind of like, as a student of human beings, the progress of technology, of societies, of industries, how do we operate as human beings? And the answer is we divide into various groups. But what that means is once you're kind of the. The intellectual fascination usually tends to be like, no, we get in a room, we all talk and we all agree. Right? And I have never seen human beings do that about anything significant. And by the way, you'd think we could do it for climate change, where you could see more simple physics, and we don't do it there either. So the theory that we're simply going to go sit in a room and talk and all agree, for example, of an existential risk or of a job transformation risk, and then since we all agree, we're all going to massively slow down and stop doing things that's never happened in human history for things that are even much more visible, so that, as a pipe dream for the conversation, doesn't actually, in fact, yield the results you hope for.

Reid Hoffman (45:19)

So look, I always respect super smart people with criticisms. When the Manhattan Project was created, some of the people who created thought that when you exploded an atom bomb, it would break the earth's crust and turn us into a molten globe. So scientists are not always correct about things. And I think that part of what Yoshua and Jeffrey think is that this should be done through university science. And part of atmospherically what makes them nervous is being done through corporations. And so it's like, well, that can't be thinking about safety the right way. They can be serious, they have a profit motive, et cetera, et cetera. But by the way, the only way this kind of scale compute gets created is by companies, not by kind of universities. Now that being said, I think that their theory of how human beings and human ecosystems work is incorrect. And I think it's the people get together in groups, they build stuff, they compete with other groups. There's even competition, of course, within academia. So I would go back to the question of it is a very good thing to be doing safety and alignment stuff. The work is to add in to the current progress on these things, how to make that happen within the framework of where we're going, that the theory of going around and going we should just tell everyone to stop, is a theory that doesn't work and matter of fact is in a sense sadly destructive because if anything it just creates conflict around it in the groups that care about it. Like you could almost run this kind of two by two matrix about what is like people care about humanity, people don't care about humanity. People will listen to your message and slow down. People won't listen to your message and won't slow down by going around and going, you should all slow down. Only the people who are aligned with your point of view are likely to slow down and the other people are not likely to slow down. And therefore, you know, you're having a dystopic, self defeating. Yes, yes. Right. And so, so the point is to say, actually, in fact, the good dialogue, the good discussion is how do we steer this better? Like what is the ways of doing that and just contributing to it. And it can't just be they will shift control to me so that I do it. It's like that's not a compelling answer. Right, right. For any individual. It's a, here's how I'm going to try to contribute. And that's what I've been trying to do and that's what I've been trying to get the critics to participate in doing as well. Not to say, hey, ignore all these crazy people, reformulate your thinking into the things that can help us navigate the boat as we're going down the fast moving river.

Summary

"The Last Invention" – EP 8: The Accelerationists (November 20, 2025)

Overview

Key Discussion Points and Insights

1. The AI For Good Conference: The Buzz of AI Optimism

[02:53–10:20]
- The hosts attend the UN-backed conference in Geneva, bustling with world leaders, tech companies, and demos of AI applications.
- Optimism dominates: Most attendees express excitement about AI's potential to address huge problems—climate change, poverty, medical advances (e.g., age-reversing pills), and accessibility.
- Highlights include:
  - [04:33–05:15] David Sinclair and a team working with AI on anti-aging medicine envisioning people routinely living to 120+.
  - [06:11–07:32] French neuroscientist Olivier Ulier demonstrates a brainwave-reading headset that allows the paralyzed Rodrigo Mendez to drive a Formula 1 car using only his mind.
  - [07:53–10:10] Dutch roboticist Guido de Kron showcases insect-sized drones for precision agriculture, suggesting a future where “farms will buzz with robotic insects helping end world hunger.”

Quote

"We are the generation that is determined, ladies and gentlemen, determined to shape AI for good."
—Andy Mills [03:34]

2. Who Are the Accelerationists?

[16:00–21:00]
- Accelerationists are techno-optimists who argue that rapid development and deployment of AI will drive prosperity and solve pressing global issues.
- The movement encompasses a spectrum—from capitalist investors (Sam Altman, Peter Thiel, Marc Andreessen) to socialist academics (Alex Williams), each united by the belief in pushing AI forward, but differing on their reasons and ultimate visions.
- Some, like AI lab leaders, accept AGI could be risky but see preparedness and speed as vital for positive outcomes—and for beating global competitors.
- Others downplay existential risks as overblown, regarding doomerism as a drag on progress and prosperity.

Quote

"Our entire civilization, our entire culture is predicated on accelerating technological change."
—Peter Thiel (quoted) [18:31]

3. Two Faces of Accelerationism: Hoffman and Jesos

[21:01–31:14]
- Reid Hoffman: Legendary investor, OpenAI board member, early “PayPal mafia” member. He's enthusiastic about AI's promise but dislikes the accelerationist label. He sees the era as a “Cambrian explosion” level inflection point.
- Beth Jesos (Xtropic co-founder, Effective Accelerationist leader): Advocates a proactive, almost ideological, campaign to “flood the culture” with techno-optimism to combat spreading pessimism and regulatory “safetyism.”
- Jesos’ “effective accelerationism” is a deliberate countermovement, driven by the idea that society’s best shot is to bet big on AI now.

Memorable Quotes

“Accelerate or die—and those are our choices.”
—Beth Jesos [22:02]

“This is perhaps the most important moment in human history—maybe past the invention of fire.”
—Reid Hoffman [21:01]

4. Why Speed? Promises of the Accelerated Future

[23:28–25:35]
- Beth Jesos lays out the benefits: ultra-cheap, personalized education; universal telemedicine; AI-driven industrial booms. Accelerationists see rampant fears about job loss as backward; instead, they forecast robust growth and prosperity.
- Both Jesos and Hoffman see AI as supercharging human capabilities, especially in language-driven domains.

Key Segment

[23:52] Reid Hoffman: “If everyone had the equivalent of a doctor in their pocket, that was free...”

5. Accelerationism as a Response to Pessimism and Over-Regulation

[26:00–31:14]
- Jesos discusses the concept of “hyperstition”—the idea that beliefs and memes can shape reality. He argues pessimism, overregulation, and “safetyism” choke innovation, and that flooding the discourse with optimism is a form of societal self-defense.
- Excess safety culture, in his view, leads to stagnation by letting centralized institutions accumulate unchecked power.

Quote

“Anxiety is a state where you give up more agency, you give up your freedoms... In a way, the more you are scared, the more power you give up to centralized institutions.”
—Beth Jesos [28:10]

6. Balancing Risk and Reward: Hoffman's Portfolio View

[35:39–39:39]
- Hoffman critiques viewing AI as a singular, standalone existential risk. Instead, he views it as part of humanity’s larger “risk portfolio” (nuclear war, pandemics, etc.). He argues AI on balance will decrease existential risk through its problem-solving capacity.
- On the feared mass job displacement, Hoffman says we never transition easily into new eras but the net upside will be enormous—likening AI to an “industrial revolution of the mind.”

Quote

“Existential risk for humanity is a portfolio... even as [AI] is going, it has a much higher likelihood or probability of decreasing the overall existential risk portfolio.”
—Reid Hoffman [37:22]

7. AI “Scouts” and the Limits of AI Safety

[41:14–44:38]
- Jesos acknowledges some value in AI safety research but believes it's overemphasized, likening the “AI alignment” community to a cottage industry arguing for its own existence.
- He doubts humanity will ever have complete control over increasingly complex AI systems, likening control to adjusting pretty basic system “knobs,” as in monetary policy, rather than total steering.
- Hoffman confirms OpenAI once had, perhaps, “moderately too much fear” among team members and highlights the futility of calls to halt progress—people who care will slow down, but adversaries (or profit-motivated competitors) won’t, making such efforts self-defeating.

8. The End Game: Opportunity, Agency, and Societal Upheaval

[49:05–52:14]
- The conversation takes a hopeful turn: Jesos says accelerationism can be a unifying, inspirational movement, promising that a “rising tide floats all boats” if optimism and agency are embraced.
- Both Jesos and Hoffman see the coming era as deeply transformative—potentially tumultuous, echoing the Industrial Revolution with all its chaos and opportunity, but not necessarily doomed to repeat history’s worst mistakes.

Quotes

“If you believe you can change things, you will actually change things.”
—Beth Jesos [51:04]

“You have to be iterating, you know, kind of iterate deployment and be thinking about it and navigating as you're kind of going.”
—Reid Hoffman [39:58]

9. Reflection: The Debate's Stakes and The Road Ahead

[53:23–54:48]
- Hoffman tempers the optimism: transitions will be hard, but humanity has more tools (including AI itself) to smooth the ride.
- “[AI] will be more impactful” than the industrial revolution, with potentially religious fervor for some, and deep skepticism for others.

Quote

“As we gather this afternoon, we're still in the earliest days of one of the most important technological revolutions in the history of the world.”
—Reid Hoffman [54:20]

Notable Quotes & Moments with Timestamps

“Accelerate or die—and those are our choices.” (Beth Jesos, 22:02)
“Our entire civilization, our entire culture is predicated on accelerating technological change.” (Peter Thiel, 18:31)
“Existential risk for humanity is a portfolio... [AI] has a much higher likelihood or probability of decreasing the overall existential risk portfolio.” (Hoffman, 37:22)
“If you believe you can change things, you will actually change things.” (Beth Jesos, 51:04)
“Fear is always the easy one. Like in any new technology, fear will be more rhetorically compelling.” (Reid Hoffman, 48:26)

Timestamps for Key Segments

[02:53–10:20] – AI For Good conference and optimism
[16:00–22:00] – Introducing the accelerationists, their diversity and motives
[21:01–31:14] – Hoffman & Jesos: motivations, backgrounds, different accelerationisms
[23:28–25:35] – Visions of benefits: education, healthcare, jobs
[26:00–31:14] – Hyperstition, safetyism, the campaign for optimism
[35:39–39:39] – Hoffman's risk framework and historical analogies
[41:14–44:38] – Skepticism on AI safety research, self-defeating “slowing down” arguments
[49:05–52:14] – Accelerationism as hope and agency, societal transformation reflection
[53:23–54:48] – How tough the transition might be, lessons of past revolutions