Future of Life Institute
How to Stop the Coming AI Disaster
updated
Timestamps:
00:00 A scenario of nuclear war
06:56 Who would launch an attack?
13:50 Detecting nuclear attacks
19:37 The first critical seconds
29:42 Decisions under time pressure
34:27 Lessons from insiders
44:18 Submarines
51:06 How did we end up like this?
59:40 Interceptor missiles
1:11:25 Nuclear weapons and cyberattacks
1:17:35 Concentration of power
Timestamps:
0:20 AI Impacts surveys
18:11 What AI will look like in 20 years
22:43 Experts’ extinction risk predictions
29:35 Opinions on slowing down AI development
31:25 AI “arms races”
34:00 AI risk areas with the most agreement
40:41 Do “high hopes and dire concerns” go hand-in-hand?
42:00 Intelligence explosions
45:37 Discontinuous progress
49:43 Impacts of AI crossing the human-level intelligence threshold
59:39 What does AI learn from human culture?
1:02:59 AI scaling
1:05:04 What should we do?
Timestamps:
00:00 Pausing AI
10:23 Risks during an AI pause
19:41 Hardware overhang
29:04 Technological progress
37:00 Safety research during a pause
54:42 Social dynamics of AI risk
1:10:00 What prevents cooperation?
1:18:21 What about China?
1:28:24 Protesting AGI corporations
Timestamps:
00:00 Encode Justice
06:11 AI ethics and AI safety
15:49 Humans in the loop
23:59 AI in social media
30:42 Deteriorating social skills?
36:00 AIs identifying as AIs
43:36 AI influence in elections
50:32 AIs interacting with human systems
Timestamps:
00:00 Is AI like a Shoggoth?
09:50 Scaling laws
16:41 Are humans more general than AIs?
21:54 Are AI models explainable?
27:49 Using AI to explain AI
32:36 Evidence for AI being uncontrollable
40:29 AI verifiability
46:08 Will AI be aligned by default?
54:29 Creating human-like AI
1:03:41 Robotics and safety
1:09:01 Obstacles to AI in the economy
1:18:00 AI innovation with current models
1:23:55 AI accidents in the past and future
Timestamps:
00:00 Technological progress
07:59 Regulatory capture and AI
11:53 AI as a new form of life
15:44 Can AI development be paused?
20:12 Biden's executive order on AI
22:54 How would a GPU kill switch work?
27:00 Regulating models or applications?
32:13 AGI in 2-8 years
42:00 China and US collaboration on AI
Timestamps:
00:00 A new nuclear arms race
08:07 How much do world leaders matter?
18:04 How much does ideology matter?
22:14 Do nuclear weapons cause stable peace?
31:29 North Korea
34:01 Have we overestimated nuclear risk?
43:24 Time pressure in nuclear decisions
52:00 Why so many nuclear warheads?
1:02:17 Has containment been successful?
1:11:34 Coordination mechanisms
1:16:31 Technological innovations
1:25:57 Public perception of nuclear risk
1:29:52 Easier access to nuclear weapons
1:33:31 Reaching a stable, low-risk era
Timestamps:
00:00 Autonomy in weapon systems
12:19 Balance of offense and defense
20:05 Killer drone systems
28:53 Is autonomy like nuclear weapons?
37:20 Low-tech defenses against drones
48:29 Autonomy and power balance
1:00:24 Tricking autonomous systems
1:07:53 Unpredictability of autonomous systems
1:13:16 Will we trust autonomous systems too much?
1:27:28 Legal terminology
1:32:12 Political possibilities
Timestamps:
00:00 Uncontrollable superintelligence
16:41 AI goals and the "virus analogy"
28:36 Speed of AI cognition
39:25 Narrow AI and autonomy
52:23 Reliability of current and future AI
1:02:33 Planning for multiple AI scenarios
1:18:57 Will AIs seek self-preservation?
1:27:57 Is there a unified solution to AI alignment?
1:30:26 Concrete AI safety proposals
Timestamps:
00:00 AI Safety Summit in the UK
12:18 Are officials up to date on AI?
23:22 Objections to AI policy
31:27 The EU AI Act
43:37 The right level of regulation
57:11 Risks and regulatory tools
1:04:44 Open-source AI
1:14:56 Subsidising AI safety research
1:26:29 Global institutions for safe AI
1:34:34 Autonomy in weapon systems
Released in the tension-filled year of 1983, these films not only reflected the era's nuclear anxieties but also played a direct role in shaping policy. They went beyond mere entertainment, acting as significant catalysts for dialogue. These films influenced policymakers and raised public awareness about the grave risks associated with nuclear warfare, leading to tangible, preventative action from leaders.
Witness how their creative vision transcended the silver screen to safeguard the future of our world, as we celebrate their achievement with a video tribute to the 2023 Future of Life Award recipients.
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Every year, the Future of Life Award honors unsung individuals whose achievements helped make today dramatically better than it might otherwise have been.
Read more about this year’s award:
futureoflife.org/FLA
Hear the Future of Life Award 2023 featuring on this StarTalk podcast episode:
www.youtube.com/watch?v=Gn-2kwQ4h1k
What would happen if AI were integrated into today’s nuclear command and control systems?
youtube.com/watch?v=w9npWiTOHX0
How bad would it be if there were a nuclear war between the USA and Russia today?
youtube.com/watch?v=-xthzy1PxTA
Our recent podcast ‘Imagine A World’ envisions a positive future with AI:
youtube.com/playlist?list=PLpxRpA6hBNrxFgCcbC4h-nE3CZ4gvRppp
Timestamps:
00:00 X.ai - Elon Musk's new AI venture
02:41 How AI risk thinking has evolved
12:58 AI bioengeneering
19:16 AI agents
24:55 Preventing autocracy
34:11 AI race - corporations and militaries
48:04 Bulletproofing AI organizations
1:07:51 Open-source models
1:15:35 Dan's textbook on AI safety
1:22:58 Rogue AI
1:28:09 LLMs and value specification
1:33:14 AI goal drift
1:41:10 Power-seeking AI
1:52:07 AI deception
1:57:53 Representation engineering
We must take control of AI before it controls us. Regulate AI now.
http://futureoflife.org/safety
Timestamps:
00:00 Is AGI close?
06:56 Compute versus data
09:59 Information theory
20:36 Universality of learning
24:53 Hards steps in evolution
30:30 Governments and advanced AI
40:33 How will AI transform the economy?
55:26 How will AI change transaction costs?
1:00:31 Isolated thinking about AI
1:09:43 AI and Leviathan
1:13:01 Informational resolution
1:18:36 Open-source AI
1:21:24 AI will decrease state power
1:33:17 Timeline of a techno-feudalist future
1:40:28 Alignment difficulty and AI scale
1:45:19 Solving robotics
1:54:40 A constrained Leviathan
1:57:41 An Apollo Project for AI safety
2:04:29 Secure "gain-of-function" AI research
2:06:43 Is the market expecting AGI soon?
Imagine a World is a podcast exploring a range of plausible and positive futures with advanced AI, produced by the Future of Life Institute. We interview the creators of 8 diverse and thought provoking imagined futures that we received as part of the worldbuilding contest FLI ran last year
In the eighth and final episode of Imagine A World we explore the fictional worldbuild titled 'Computing Counsel', one of the third place winners of FLI’s worldbuilding contest.
Guillaume Riesen talks to Mark L, one of the three members of the team behind 'Computing Counsel', a third-place winner of the FLI Worldbuilding Contest. Mark is a machine learning expert with a chemical engineering degree, as well as an amateur writer. His teammates are Patrick B, a mechanical engineer and graphic designer, and Natalia C, a biological anthropologist and amateur programmer.
This world paints a vivid, nuanced picture of how emerging technologies shape society. We have advertisers competing with ad-filtering technologies and an escalating arms race that eventually puts an end to the internet as we know it. There is AI-generated art so personalized that it becomes addictive to some consumers, while others boycott media technologies altogether. And corporations begin to throw each other under the bus in an effort to redistribute the wealth of their competitors to their own customers.
While these conflicts are messy, they generally end up empowering and enriching the lives of the people in this world. New kinds of AI systems give them better data, better advice, and eventually the opportunity for genuine relationships with the beings these tools have become. The impact of any technology on society is complex and multifaceted. This world does a great job of capturing that.
While social networking technologies become ever more powerful, the networks of people they connect don't necessarily just get wider and shallower. Instead, they tend to be smaller and more intimately interconnected. The world's inhabitants also have nuanced attitudes towards A.I. tools, embracing or avoiding their applications based on their religious or philosophical beliefs.
These additives change over time, with public sentiment shifting from an initial dismissal of Artifical General Intelligence as persons toward something more inclusive and respectful. While most of the world's inhabitants would probably consider things to be improved in 2045, there's still a clear sense of ongoing change, growth and moral reckoning. This isn't the end of our story, but it seems like a good start.
Please note: This episode explores the ideas created as part of FLI’s worldbuilding contest, and our hope is that this series sparks discussion about the kinds of futures we want. The ideas present in these imagined worlds and in our podcast are not to be taken as FLI endorsed positions.
Explore this worldbuild: worldbuild.ai/computing-counsel
The podcast is produced by the Future of Life Institute (FLI), a non-profit dedicated to guiding transformative technologies for humanity's benefit and reducing existential risks. To achieve this we engage in policy advocacy, grantmaking and educational outreach across three major areas: artificial intelligence, nuclear weapons, and biotechnology. If you are a storyteller, FLI can support you with scientific insights and help you understand the incredible narrative potential of these world-changing technologies. If you would like to learn more, or are interested in collaborating with the teams featured in our episodes, please email worldbuild@futureoflife.org.
You can find more about our work at www.futureoflife.org, or subscribe to our newsletter to get updates on all our projects.
Media and Concepts referenced in the episode:
Corpus Callosum - en.wikipedia.org/wiki/Corpus_callosum
Eliezer Yudkowsky on ‘Superstimulation’ - lesswrong.com/posts/Jq73GozjsuhdwMLEG/superstimuli-and-the-collapse-of-western-civilization
Universal culture - slatestarcodex.com/2016/07/25/how-the-west-was-won
Max Harms’ Crystal Trilogy - goodreads.com/book/show/28678856-crystal-society
UBI - en.wikipedia.org/wiki/Universal_basic_income
Kim Stanley Robinson - en.wikipedia.org/wiki/Kim_Stanley_Robinson
Imagine a World is a podcast exploring a range of plausible and positive futures with advanced AI, produced by the Future of Life Institute. We interview the creators of 8 diverse and thought provoking imagined futures that we received as part of the worldbuilding contest FLI ran last year
In the seventh episode of Imagine A World we explore a fictional worldbuild titled 'Hall of Mirrors', which was a third-place winner of FLI's worldbuilding contest.
Michael Vasser joins Guillaume Riesen to discuss his imagined future, which he created with the help of Matija Franklin and Bryce Hidysmith. Vassar was formerly the president of the Singularity Institute, and co-founded Metamed; more recently he has worked on communication across political divisions. Franklin is a PhD student at UCL working on AI Ethics and Alignment. Finally, Hidysmith began in fashion design, passed through fortune-telling before winding up in finance and policy research, at places like Numerai, the Median Group, Bismarck Analysis, and Eco.com.
Hall of Mirrors is a deeply unstable world where nothing is as it seems. The structures of power that we know today have eroded away, survived only by shells of expectation and appearance. People are isolated by perceptual bubbles and struggle to agree on what is real. Things are generally going okay, for now. This is partly due to this world's particularly slow and modest development of AI technologies. AI tools here are still dominated by extensions of today's fundamentally narrow systems, with the one true Artificial General Intelligence being developed under heavy quarantine. There are a number of reasons for this slow progress, including high computational costs and poor funding due to politicization.
This team put a lot of effort into creating a plausible, empirically grounded world, but their work is also notable for its irreverence and dark humor. In some ways, this world is kind of a caricature of the present. We see deeper isolation and polarization caused by media, and a proliferation of powerful but ultimately limited AI tools that further erode our sense of objective reality. A deep instability threatens. And yet, on a human level, things seem relatively calm. It turns out that the stories we tell ourselves about the world have a lot of inertia, and so do the ways we live our lives.
Please note: This episode explores the ideas created as part of FLI’s worldbuilding contest, and our hope is that this series sparks discussion about the kinds of futures we want. The ideas present in these imagined worlds and in our podcast are not to be taken as FLI endorsed positions.
Explore this worldbuild: worldbuild.ai/hall-of-mirrors
The podcast is produced by the Future of Life Institute (FLI), a non-profit dedicated to guiding transformative technologies for humanity's benefit and reducing existential risks. To achieve this we engage in policy advocacy, grantmaking and educational outreach across three major areas: artificial intelligence, nuclear weapons, and biotechnology. If you are a storyteller, FLI can support you with scientific insights and help you understand the incredible narrative potential of these world-changing technologies. If you would like to learn more, or are interested in collaborating with the teams featured in our episodes, please email worldbuild@futureoflife.org.
You can find more about our work at www.futureoflife.org, or subscribe to our newsletter to get updates on all our projects.
Media referenced in the episode:
en.wikipedia.org/wiki/Neo-Confucianism
en.wikipedia.org/wiki/Who_Framed_Roger_Rabbit
en.wikipedia.org/wiki/Seigniorage
en.wikipedia.org/wiki/Adam_Smith
en.wikipedia.org/wiki/Hamlet
en.wikipedia.org/wiki/The_Golden_Notebook
en.wikipedia.org/wiki/Star_Trek%3A_The_Next_Generation
en.wikipedia.org/wiki/C-3PO
en.wikipedia.org/wiki/James_Baldwin
Timestamps:
00:00 Provably safe AI systems
12:17 Alignment and evaluations
21:08 Proofs about language model behavior
27:11 Can we formalize safety?
30:29 Provable contracts
43:13 Digital replicas of actual systems
46:32 Proof-carrying code
56:25 Can language models think logically?
1:00:44 Can AI do proofs for us?
1:09:23 Hard to proof, easy to verify
1:14:31 Digital neuroscience
1:20:01 Risks of totalitarianism
1:22:29 Can we guarantee safety?
1:25:04 Real-world provable safety
1:29:29 Tamper-proof hardware
1:35:35 Mortal and throttled AI
1:39:23 Least-privilege guarantee
1:41:53 Basic AI drives
1:47:47 AI agency and world models
1:52:08 Self-improving AI
1:58:21 Is AI overhyped now?
Imagine a World is a podcast exploring a range of plausible and positive futures with advanced AI, produced by the Future of Life Institute. We interview the creators of 8 diverse and thought provoking imagined futures that we received as part of the worldbuilding contest FLI ran last year.
In the sixth episode of Imagine A World we explore the fictional worldbuild titled 'AI for the People', a third place winner of the worldbuilding contest.
Our host Guillaume Reisen welcomes Chi Rainer Bornfree, part of this three-person worldbuilding team alongside her husband Micah White, and their collaborator, J.R. Harris. Chi has a PhD in Rhetoric from UC Berkeley and has taught at Bard, Princeton, and NY State Correctional facilities, in the meantime writing fiction, essays, letters, and more. Micah, best-known as the co-creator of the 'Occupy Wall Street' movement and the author of 'The End of Protest', now focuses primarily on the social potential of cryptocurrencies, while Harris is a freelance illustrator and comic artist.
The name 'AI for the People' does a great job of capturing this team's activist perspective and their commitment to empowerment. They imagine social and political shifts that bring power back into the hands of individuals, whether that means serving as lawmakers on randomly selected committees, or gaining income by choosing to sell their personal data online. But this world isn't just about human people. Its biggest bombshell is an AI breakthrough that allows humans to communicate with other animals. What follows is an existential reconsideration of humanity's place in the universe. This team has created an intimate, complex portrait of a world shared by multiple parties: AIs, humans, other animals, and the environment itself. As these entities find their way forward together, their goals become enmeshed and their boundaries increasingly blurred.
Please note: This episode explores the ideas created as part of FLI’s worldbuilding contest, and our hope is that this series sparks discussion about the kinds of futures we want. The ideas present in these imagined worlds and in our podcast are not to be taken as FLI endorsed positions.
Explore this worldbuild: worldbuild.ai/ai-for-the-people
The podcast is produced by the Future of Life Institute (FLI), a non-profit dedicated to guiding transformative technologies for humanity's benefit and reducing existential risks. To achieve this we engage in policy advocacy, grantmaking and educational outreach across three major areas: artificial intelligence, nuclear weapons, and biotechnology. If you are a storyteller, FLI can support you with scientific insights and help you understand the incredible narrative potential of these world-changing technologies. If you would like to learn more, or are interested in collaborating with the teams featured in our episodes, please email worldbuild@futureoflife.org.
You can find more about our work at www.futureoflife.org, or subscribe to our newsletter to get updates on all our projects
Media and resources referenced in the episode:
en.wikipedia.org/wiki/Life_3.0
en.wikipedia.org/wiki/1_the_Road
ignota.org/products/pharmako-ai
en.wikipedia.org/wiki/The_Ministry_for_the_Future
scientificamerican.com/article/how-scientists-are-using-ai-to-talk-to-animals
en.wikipedia.org/wiki/Occupy_Wall_Street
en.wikipedia.org/wiki/Sortition
en.wikipedia.org/wiki/Iroquois
en.wikipedia.org/wiki/The_Ship_Who_Sang
en.wikipedia.org/wiki/The_Sparrow_(novel)
en.wikipedia.org/wiki/After_Yang
Imagine a World is a podcast exploring a range of plausible and positive futures with advanced AI, produced by the Future of Life Institute. We interview the creators of 8 diverse and thought provoking imagined futures that we received as part of the worldbuilding contest FLI ran last year
In the fifth episode of Imagine A World, we explore the fictional worldbuild titled 'To Light’. Our host Guillaume Reisen speaks to Mako Yass, the first place winner of the FLI Worldbuilding Contest we ran last year. Mako lives in Auckland, New Zealand. He describes himself as a 'stray philosopher-designer', and has a background in computer programming and analytic philosophy.
Mako’s world is particularly imaginative, with richly interwoven narrative threads and high-concept sci fi inventions. By 2045, his world has been deeply transformed. There’s an AI-designed miracle pill that greatly extends lifespan and eradicates most human diseases. Sachets of this life-saving medicine are distributed freely by dove-shaped drones. There’s a kind of mind uploading which lets anyone become whatever they wish, live indefinitely and gain augmented intelligence. The distribution of wealth is almost perfectly even, with every human assigned a share of all resources. Some people move into space, building massive structures around the sun where they practice esoteric arts in pursuit of a more perfect peace.
While this peaceful, flourishing end state is deeply optimistic, Mako is also very conscious of the challenges facing humanity along the way. He sees a strong need for global collaboration and investment to avoid catastrophe as humanity develops more and more powerful technologies. He’s particularly concerned with the risks presented by artificial intelligence systems as they surpass us. An AI system that is more capable than a human at all tasks - not just playing chess or driving a car - is what we’d call an Artificial General Intelligence - abbreviated ‘AGI’.
Ensuring that such a system actually behaves as we intend, and faithfully pursues goals that are beneficial rather than harmful to humans, is an enormous challenge that we do not yet know how to solve.
Mako proposes that we could build safe AIs through radical transparency. He imagines tests that could reveal the true intentions and expectations of AI systems before they are released into the world.
Please note: This episode explores the ideas created as part of FLI’s worldbuilding contest, and our hope is that this series sparks discussion about the kinds of futures we want. The ideas present in these imagined worlds and in our podcast are not to be taken as FLI endorsed positions.
Explore this worldbuild: worldbuild.ai/to-light
The podcast is produced by the Future of Life Institute (FLI), a non-profit dedicated to guiding transformative technologies for humanity's benefit and reducing existential risks. To achieve this we engage in policy advocacy, grantmaking and educational outreach across three major areas: artificial intelligence, nuclear weapons, and biotechnology. If you are a storyteller, FLI can support you with scientific insights and help you understand the incredible narrative potential of these world-changing technologies. If you would like to learn more, or are interested in collaborating with the teams featured in our episodes, please email worldbuild@futureoflife.org.
You can find more about our work at www.futureoflife.org, or subscribe to our newsletter to get updates on all our projects.
Media and concepts referenced in the episode:
en.wikipedia.org/wiki/Terra_Ignota
en.wikipedia.org/wiki/The_Transparent_Society
en.wikipedia.org/wiki/Instrumental_convergence#Paperclip_maximizer
en.wikipedia.org/wiki/The_Elephant_in_the_Brain
en.wikipedia.org/wiki/The_Matrix
aboutmako.makopool.com
Timestamps:
00:00 Johannes's journey as an environmentalist
13:21 The drivers of climate change
23:00 Oil, coal, and gas
38:05 Solar, wind, and hydro
49:34 Nuclear energy
57:03 Geothermal energy
1:00:41 Most promising technologies
1:05:40 Government subsidies
1:13:28 Carbon taxation
1:17:10 Planting trees
1:21:53 Influencing government policy
1:26:39 Different climate scenarios
1:34:49 Economic growth and emissions
1:37:23 Social stability
References:
Emissions by sector: ourworldindata.org/emissions-by-sector
Energy density of different energy sources: nature.com/articles/s41598-022-25341-9
Emissions forecasts: lse.ac.uk/granthaminstitute/publication/the-unconditional-probability-distribution-of-future-emissions-and-temperatures and science.org/doi/10.1126/science.adg6248
Risk management: youtube.com/watch?v=6JJvIR1W-xI
Carbon pricing: cell.com/joule/pdf/S2542-4351(18)30567-1.pdf
Why not simply plant trees?: https://climate.mit.edu/ask-mit/how-many-new-trees-would-we-need-offset-our-carbon-emissions
Deforestation: science.org/doi/10.1126/science.ade3535
Decoupling of economic growth and emissions: globalcarbonproject.org/carbonbudget/22/highlights.htm
Premature deaths from air pollution: unep.org/interactives/air-pollution-note
Imagine a World is a podcast exploring a range of plausible and positive futures with advanced AI, produced by the Future of Life Institute. We interview the creators of 8 diverse and thought provoking imagined futures that we received as part of the worldbuilding contest FLI ran last year.
In the fourth episode of Imagine A World, we explore the fictional worldbuild titled 'Digital Nations'.
Conrad Whitaker and Tracey Kamande join Guillaume Riesen on 'Imagine a World' to talk about their worldbuild, 'Digital Nations', which they created with their teammate, Dexter Findley. All three worldbuilders were based in Kenya while crafting their entry, though Dexter has just recently moved to the UK. Conrad is a Nairobi-based startup advisor and entrepreneur, Dexter works in humanitarian aid, and Tracey is the Co-founder of FunKe Science, a platform that promotes interactive learning of science among school children.
As the name suggests, this world is a deep dive into virtual communities. It explores how people might find belonging and representation on the global stage through digital nations that aren't tied to any physical location. This world also features a fascinating and imaginative kind of artificial intelligence that they call 'digital persons'. These are inspired by biological brains and have a rich internal psychology. Rather than being trained on data, they're considered to be raised in digital nurseries. They have a nuanced but mostly loving relationship with humanity, with some even going on to found their own digital nations for us to join.
In an incredible turn of events, last year the South Pacific state of Tuvalu was the first to “go virtual” in response to sea levels threatening the island nation's physical territory. This happened in real life just months after it was written into this imagined world in our worldbuilding contest, showing how rapidly ideas that seem ‘out there’ can become reality. Will all nations eventually go digital? And might AGIs be assimilated, 'brought up' rather than merely trained, as 'digital people', citizens to live communally alongside humans in these futuristic states?
The promise of this world is that new technologies might provide new opportunities to bring people together. The challenges of safely navigating new kinds of intelligence may offer a chance to know ourselves and each other more deeply, leading to wiser and gentler societies.
Please note: This episode explores the ideas created as part of FLI’s worldbuilding contest, and our hope is that this series sparks discussion about the kinds of futures we want. The ideas present in these imagined worlds and in our podcast are not to be taken as FLI endorsed positions.
Explore this worldbuild: worldbuild.ai/digital-nations
The podcast is produced by the Future of Life Institute (FLI), a non-profit dedicated to guiding transformative technologies for humanity's benefit and reducing existential risks. To achieve this we engage in policy advocacy, grantmaking and educational outreach across three major areas: artificial intelligence, nuclear weapons, and biotechnology. If you are a storyteller, FLI can support you with scientific insights and help you understand the incredible narrative potential of these world-changing technologies. If you would like to learn more, or are interested in collaborating with the teams featured in our episodes, please email worldbuild@futureoflife.org.
You can find more about our work at www.futureoflife.org, or subscribe to our newsletter to get updates on all our projects
Media and concepts referenced in the episode:
tuvalu.tv
en.wikipedia.org/wiki/Trolley_problem
en.wikipedia.org/wiki/Climate_change_in_Kenya
en.wikipedia.org/wiki/John_von_Neumann
en.wikipedia.org/wiki/Brave_New_World
thenetworkstate.com/the-network-state
en.wikipedia.org/wiki/Culture_series
Imagine a World is a podcast exploring a range of plausible and positive futures with advanced AI, produced by the Future of Life Institute. We interview the creators of 8 diverse and thought provoking imagined futures that we received as part of the worldbuilding contest FLI ran last year.
In the third episode of Imagine A World, we explore the fictional worldbuild titled 'Core Central'.
How does a team of seven academics agree on one cohesive worldbuild? That's a question the team behind 'Core Central' had to figure out as they went along. The results speak for themselves: this worldbuild came joint second-place in the FLI Worldbuilding Contest, and its realistic sense of multipolarity and messiness reflect positively its organic formulation. The team settled on one core, centralized AGI system as the governance model for their entire world. This eventually moves their world 'beyond' nation states. Could this really work?
In this episode of 'Imagine a World', Guillaume Riesen speaks to John Burden and Henry Shevlin, representing the team that created 'Core Central', one of the second-place winners in the FLI Worldbuilding Contest. The full team includes seven members, three of whom (Henry, John and Beba Cibralic) are researchers at the Leverhulme Centre for the Future of Intelligence, University of Cambridge, and five of whom (Jessica Bland, Lara Mani, Clarissa Rios Rojas, Catherine Richards and John) work with the Centre for the Study of Existential Risk, also at Cambridge University.
Please note: This episode explores the ideas created as part of FLI’s worldbuilding contest, and our hope is that this series sparks discussion about the kinds of futures we want. The ideas present in these imagined worlds and in our podcast are not to be taken as FLI endorsed positions.
Explore this imagined world: worldbuild.ai/core-central
The podcast is produced by the Future of Life Institute (FLI), a non-profit dedicated to guiding transformative technologies for humanity's benefit and reducing existential risks. To achieve this we engage in policy advocacy, grantmaking and educational outreach across three major areas: artificial intelligence, nuclear weapons, and biotechnology. If you are a storyteller, FLI can support you with scientific insights and help you understand the incredible narrative potential of these world-changing technologies. If you would like to learn more, or are interested in collaborating with the teams featured in our episodes, please email worldbuild@futureoflife.org.
You can find more about our work at www.futureoflife.org, or subscribe to our newsletter to get updates on all our projects
Media and Concepts referenced in the episode:
en.wikipedia.org/wiki/Culture_series
en.wikipedia.org/wiki/The_Expanse_(TV_series)
vox.com/authors/kelsey-piper
en.wikipedia.org/wiki/Gratitude_journal
en.wikipedia.org/wiki/The_Diamond_Age
scientificamerican.com/article/the-mind-of-an-octopus
en.wikipedia.org/wiki/Global_workspace_theory
en.wikipedia.org/wiki/Alien_hand_syndrome
en.wikipedia.org/wiki/Hyperion_(Simmons_novel)
Timestamps:
00:00 The current pace of AI
03:58 Near-term risks from AI
09:34 Historical analogies to AI
13:58 AI benchmarks VS economic impact
18:30 AI takeoff speed and bottlenecks
31:09 Tom's model of AI takeoff speed
36:21 How AI could automate AI research
41:49 Bottlenecks to AI automating AI hardware
46:15 How much of AI research is automated now?
48:26 From 20% to 100% automation
53:24 AI takeoff in 3 years
1:09:15 Economic impacts of fast AI takeoff
1:12:51 Bottlenecks slowing AI takeoff
1:20:06 Does the market predict a fast AI takeoff?
1:25:39 "Hard to avoid AGI by 2060"
1:27:22 Risks from AI over the next 20 years
1:31:43 AI progress without more compute
1:44:01 What if AI models fail safety evaluations?
1:45:33 Cybersecurity at AI companies
1:47:33 Will AI turn out well for humanity?
1:50:15 AI and board games
Imagine a World is a podcast exploring a range of plausible and positive futures with advanced AI, produced by the Future of Life Institute. We interview the creators of 8 diverse and thought provoking imagined futures that we received as part of the worldbuilding contest FLI ran last year
In this second episode of Imagine A World we explore the fictional worldbuild titled 'Crossing Points', a second place entry in FLI's worldbuilding contest.
Joining Guillaume Riesen on the Imagine a World podcast this time are two members of the Crossing Points team, Elaine Czech and Vanessa Hanschke, both academics at the University of Bristol. Elaine has a background in art and design, and is studying the accessibility of technologies for the elderly. Vanessa is studying responsible AI practices of technologists, using methods like storytelling to promote diverse voices in AI research. Their teammates in the contest were Tashi Namgyal, a University of Bristol PhD studying the controllability of deep generative models, Dr. Susan Lechelt, who researches the applications and implications of emerging technologies at the University of Edinburgh, and Nicol Ogston, a British civil servant.
This team put a lot of thought into how new technologies might work alongside human nature rather than trying to change us directly. The most advanced AI systems in this world are extremely large and expensive to run, so are mostly limited to political and corporate use. Crossing Points has a special focus on exploring how simpler tools are experienced by a range of diverse individuals.
There's an emphasis on the unanticipated impacts of new technologies on those who weren't considered during their development. From urban families in Indonesia to anti-technology extremists in America, we're shown that there's something to learn from every human story. This world emphasizes the importance of broadening our lens and empowering marginalized voices in order to build a future that would be bright for more than just a privileged few.
The world of Crossing Points looks pretty different from our own, with advanced AIs debating philosophy on TV and hybrid 3D printed meats and grocery stores. But the people in this world are still basically the same. There are still a dazzling array of languages and cultures which shape our attitudes toward technologies. Our hopes and dreams haven't fundamentally changed, and neither have our blindspots and shortcomings. Crossing Points embraces humanity in all its diversity and looks for the solutions that human nature presents alongside the problems. It shows that there's something to learn from everyone's experience and that even the most radical attitudes can offer insights that help to build a better world.
Please note: This episode explores the ideas created as part of FLI’s worldbuilding contest, and our hope is that this series sparks discussion about the kinds of futures we want. The ideas present in these imagined worlds and in our podcast are not to be taken as FLI endorsed positions.
Explore this worldbuild: worldbuild.ai/crossing-points
The podcast is produced by the Future of Life Institute (FLI), a non-profit dedicated to guiding transformative technologies for humanity's benefit and reducing existential risks. To achieve this we engage in policy advocacy, grantmaking and educational outreach across three major areas: artificial intelligence, nuclear weapons, and biotechnology. If you are a storyteller, FLI can support you with scientific insights and help you understand the incredible narrative potential of these world-changing technologies. If you would like to learn more, or are interested in collaborating with the teams featured in our episodes, please email worldbuild@futureoflife.org.
You can find more about our work at www.futureoflife.org, or subscribe to our newsletter to get updates on all our projects.
Works referenced in this episode:
en.wikipedia.org/wiki/The_Legend_of_Zelda
en.wikipedia.org/wiki/Ainu_people
goodreads.com/book/show/34846958-radicals
http://www.historyofmasks.net/famous-masks/noh-mask
Imagine a World is a podcast exploring a range of plausible and positive futures with advanced AI, produced by the Future of Life Institute. We interview the creators of 8 diverse and thought provoking imagined futures that we received as part of the worldbuilding contest FLI ran last year.
In this first episode of Imagine A World we explore the fictional worldbuild titled 'Peace Through Prophecy'.
Host Guillaume Reisen speaks to the makers of 'Peace Through Prophecy', a second place entry in FLI's Worldbuilding Contest. The worldbuild was created by Jackson Wagner, Diana Gurvich and Holly Oatley. In the episode, Jackson and Holly discuss just a few of the many ideas bubbling around in their imagined future.
At its core, this world is arguably about community. It asks how technology might bring us closer together, and allow us to reinvent our social systems. Many roads are explored, a whole garden of governance systems bolstered by Artificial Intelligence and other technologies. Overall, there's a shift towards more intimate and empowered communities. Even the AI systems eventually come to see their emotional and creative potentials realized. While progress is uneven, and littered with many human setbacks, a pretty good case is made for how everyone's best interests can lead us to a more positive future.
Please note: This episode explores the ideas created as part of FLI’s worldbuilding contest, and our hope is that this series sparks discussion about the kinds of futures we want. The ideas present in these imagined worlds and in our podcast are not to be taken as FLI endorsed positions
Explore this imagined world: worldbuild.ai/peace-through-prophecy
The podcast is produced by the Future of Life Institute (FLI), a non-profit dedicated to guiding transformative technologies for humanity's benefit and reducing existential risks. To achieve this we engage in policy advocacy, grantmaking and educational outreach across three major areas: artificial intelligence, nuclear weapons, and biotechnology. If you are a storyteller, FLI can support you with scientific insights and help you understand the incredible narrative potential of these world-changing technologies. If you would like to learn more, or are interested in collaborating with the teams featured in our episodes, please email worldbuild@futureoflife.org.
You can find more about our work at www.futureoflife.org, or subscribe to our newsletter to get updates on all our projects.
Media and concepts referenced in the episode:
en.wikipedia.org/wiki/Prediction_market
forum.effectivealtruism.org
'Veil of ignorance' thought experiment: en.wikipedia.org/wiki/Original_position
en.wikipedia.org/wiki/Isaac_Asimov
en.wikipedia.org/wiki/Liquid_democracy
en.wikipedia.org/wiki/The_Dispossessed
en.wikipedia.org/wiki/Terra_Ignota
equilibriabook.com
en.wikipedia.org/wiki/John_Rawls
en.wikipedia.org/wiki/Radical_transparency
en.wikipedia.org/wiki/Audrey_Tang
en.wikipedia.org/wiki/Quadratic_voting#Quadratic_funding
The year is 2045. Humanity is not extinct, nor living in a dystopia. It has averted climate disaster and major wars. Instead, AI and other new technologies are helping to make the world more peaceful, happy and equal. How? This was what we asked the entrants of our Worldbuilding Contest to imagine last year.
Our new podcast series digs deeper into the eight winning entries, their ideas and solutions, the diverse teams behind them and the challenges they faced. You might love some; others you might not choose to inhabit. FLI is not endorsing any one idea. Rather, we hope to grow the conversation about what futures people get excited about.
Ask yourself, with each episode, is this a world you’d want to live in? And if not, what would you prefer?
Don’t miss the first two episodes coming to your inboxes at the start of September!
In the meantime, do explore the winning worlds, if you haven’t already: worldbuild.ai
Timestamps:
00:00 The goals of AI governance
08:38 Incentives of governments and companies
18:58 Benefits of regulatory diversity
28:50 The track record of anticipatory regulation
37:55 The security dilemma in AI
46:20 Offense-defense balance in AI
53:27 Failure rates and international agreements
1:00:33 Verification of compliance
1:07:50 Controlling AI supply chains
1:13:47 Cybersecurity at AI companies
1:21:30 The jurisdictional certification approach
1:28:40 Objections to AI governance
Timestamps:
00:00 Eras of human progress
06:47 Flywheels of progress
17:56 Main causes of progress
21:01 Progress and risk
32:49 Safety as part of progress
45:20 Slowing down specific technologies?
52:29 Four lenses on AI risk
58:48 Analogies causing disagreement
1:00:54 Solutionism about AI
1:10:43 Insurance, subsidies, and bug bounties for AI risk
1:13:24 How is AI different from other technologies?
1:15:54 Future scenarios of economic growth
- Accidental conflict escalation at machine speeds;
- Al integrated too deeply into high-stakes functions;
- Humans giving away too much control to Al;
- Humans unable to tell what is real and what is fake, and;
- An arms race that ultimately has only losers.
The good news is, all of these risks can be avoided. This story does not have to be our fate.
Please share this video and learn more at futureoflife.org/artificial-escalation.
This video has been informed by a 2020 paper from the Stockhold International Peace Research Institute (SIPRI):
Boulanin, Vincent et al. ‘Artificial Intelligence, Strategic Stability and Nuclear Risk’. sipri.org/publications/2020/other-publications/artificial-intelligence-strategic-stability-and-nuclear-risk
The sequel to this video: youtube.com/watch?v=-xthzy1PxTA
Timestamps:
0:00 Nathan introduces Jaan
4:22 AI safety and Future of Life Institute
5:55 Jaan's first meeting with Eliezer Yudkowsky
12:04 Future of AI evolution
14:58 Jaan's investments in AI companies
23:06 The emerging danger paradigm
26:53 Economic transformation with AI
32:31 AI supervising itself
34:06 Language models and validation
38:49 Lack of insight into evolutionary selection process
41:56 Current estimate for life-ending catastrophe
44:52 Inverse scaling law
53:03 Our luck given the softness of language models
55:07 Future of language models
59:43 The Moore's law of mad science
1:01:45 GPT-5 type project
1:07:43 The AI race dynamics
1:09:43 AI alignment with the latest models
1:13:14 AI research investment and safety
1:19:43 What a six-month pause buys us
1:25:44 AI passing the Turing Test
1:28:16 AI safety and risk
1:32:01 Responsible AI development.
1:40:03 Neuralink implant technology
In our most scientifically realistic simulation to date, we show what a nuclear war between Russia and the United States might look like today. It is based on detailed modeling of nuclear targets, missile trajectories, and the effects of blasts, EMPs, and smoke on the climate and food resources.
We have just announced the results of our latest grant program focused on the humanitarian impacts of nuclear war – see the list of projects here: futureoflife.org/grant-program/nuclear-war-research
Learn more about the risks posed by nuclear weapons and find out how you can take action to reduce the risks here: nuclearweapons.info
Discover the full story of Nuclear Winter: youtube.com/watch?v=EuzH43J0mrY
The 2022 Future of Life Award was given to 8 individuals for their contributions to the discovery of and raising awareness for Nuclear Winter. Learn about their stories: youtube.com/watch?v=gEwNWBnlhlw
See also:
Union of Concerned Scientists: ucsusa.org/nuclear-weapons
The International Campaign to Abolish Nuclear Weapons (ICAN): icanw.org
Copyright 2023 Future of Life Institute, Creative Commons Attribution-ShareAlike (CC BY-SA) 4.0
international license.
- BIBLIOGRAPHY -
Here are the resources used in the video. These papers and data sources present the most cutting-edge science we have on nuclear war and its effects:
Nuclear arsenal data:
Hans Kristensen (Federation of American Scientists); The video shows 3,641 of 11,133 US and Russian warheads used, and none from the UK, France, China, India, Pakistan, China, Israel or North Korea.
Nuclear target model:
Prof. Sharon Weiner (American University) & Dr. Moritz Kütt (IFSH Hamburg)
Ballistic missile trajectories calculations:
Prof. Anthony Aguirre (UCSC) & Prof. Tegmark (MIT); In reality, MIRVs of course separate only long after launch.
Electromagnetic pulse modeling:
U.S. Army unclassified report AD-A178230 (1994)
Blast modeling:
Prof. Alex Wellerstein, Stevens Inst. of Technology, https:/www.nukemap.org
Samuel Glasstone and Philip J. Dolan: "The Effects of Nuclear Weapons", published by U.S. Dept. of Defense & Dept. of Energy; Although the video mainly shows ground bursts to simplify visualization, most urban strikes are likely to instead be airbursts to destroy a greater area.
Atmospheric modeling of global smoke spread and lofting:
Dr. Charles G. Bardeen (National Center for Atmospheric Research) assuming 150 megatons of black carbon smoke
Smoke modeling methodology:
Joshua Coupe, Charles G. Bardeen, Alan Robock & Owen B. Toon 2019, J. of Geophysical Research: Atmospheres, 124, 8522-8543
Owen B. Toon, Charles G. Bardeen, Alan Robock, Lili Zia, Hans Kristensen, Matthew McKinzie, R. Peterson, Cheryl S. Harrison, Nicole.Lovenduski & Richard P. Turco 2019, Science Advances 5: eaay5478
Nuclear winter temperature modeling:.
Alan Robock, Luke Oman & Georgiy L. Stenchikov 2007, J. Of Geophysical Research 112, D13107
Famine modeling:
Lili Xia, Alan Robock, Kim Scherrer, Cheryl Harrison, Benjamin Bodirsky, Isabelle Reindl, Jonas Jägermeyr, Charles Bardeen, Owen B. Toon & Ryan Heneghan 2022, Nature Food, 3, 586-596. nature.com/articles/s43016-022-00573-0
Timestamps:
00:00 Predictable updating on AI risk
07:27 Abstract models versus gut feelings
22:06 How Joe began believing in AI risk
29:06 Is AI risk falsifiable?
35:39 Types of skepticisms about AI risk
44:51 Are we fundamentally confused?
53:35 Becoming alienated from ourselves?
1:00:12 What will change people's minds?
1:12:34 Outline of different futures
1:20:43 Humanity losing touch with reality
1:27:14 Can we understand AI sentience?
1:36:31 Distinguishing real from fake sentience
1:39:54 AI doomer epistemology
1:45:23 AI benchmarks versus real-world AI
1:53:00 AI improving AI research and development
2:01:08 What if transformative AI comes soon?
2:07:21 AI safety if transformative AI comes soon
2:16:52 AI systems interpreting other AI systems
2:19:38 Philosophy and transformative AI
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Timestamps:
00:00 Corporate AI race
06:28 Evolutionary dynamics in AI
25:26 Why evolution applies to AI
50:58 Deceptive AI
1:06:04 Competition erodes safety
10:17:40 Evolutionary fitness: humans versus AI
1:26:32 Different paradigms of AI risk
1:42:57 Interpreting AI systems
1:58:03 Honest AI and uncertain AI
2:06:52 Empirical and conceptual work
2:12:16 Losing touch with reality
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Timestamps:
00:00 Objections to AI safety
15:06 Will robots make AI risks salient?
27:51 Was early AI safety research useful?
37:28 Impossibility results for AI
47:25 How much risk should we accept?
1:01:21 Exponential or S-curve?
1:12:27 Will AI accidents increase?
1:23:56 Will we know who was right about AI?
1:33:33 Difference between AI output and AI model
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Timestamps:
00:00 Economic transformation from AI
11:15 Productivity increases from technology
17:44 AI effects on employment
28:43 Life without jobs
38:42 Losing contact with reality
42:31 Catastrophic risks from AI
53:52 Scaling AI training runs
1:02:39 Stable opinions on AI?
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cognitiverevolution.ai
Timestamps:
00:00 The cognitive revolution
07:47 Red teaming GPT-4
24:00 Coming to believe in transformative AI
30:14 Is AI depth or breadth most impressive?
42:52 Potential near-term dangers from AI
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Timestamps:
00:00 How does venture capital work?
09:01 Failure and success for startups
13:22 Is overconfidence necessary?
19:20 Repeat entrepreneurs
24:38 Long-term investing
30:36 Feedback loops from investments
35:05 Timing investments
38:35 The hardware-software dichotomy
42:19 Innovation prizes
45:43 VC lessons for philanthropy
51:03 Creating new markets
54:01 Investing versus philanthropy
56:14 Technology preying on human frailty
1:00:55 Are good ideas getting harder to find?
1:06:17 Artificial intelligence
1:12:41 Funding ethics research
1:14:25 Is philosophy useful?
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Timestamps:
00:00 Landscape of AI research labs
10:13 Is AGI a useful term?
13:31 AI predictions
17:56 Reinforcement learning from human feedback
29:53 Mechanistic interpretability
33:37 Yudkowsky and Christiano
41:39 Cognitive Emulations
43:11 Public reactions to AI
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Timestamps:
00:00 GPT-4
16:35 "Magic" in machine learning
27:43 Cognitive emulations
38:00 Machine learning VS explainability
48:00 Human data = human AI?
1:00:07 Analogies for cognitive emulations
1:26:03 Demand for human-like AI
1:31:50 Aligning superintelligence
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Timestamps:
00:00 Introduction
00:37 AI risk
03:33 Why focus on compute?
11:27 Monitoring compute
20:30 Restricting compute
26:54 Subsidising compute
34:00 Compute as a bottleneck
38:41 US and China
42:14 Unintended consequences
46:50 Will AI be like nuclear energy?
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Timestamps:
00:00 Introduction
01:00 The AI triad
06:26 Modern chip production
15:54 Forecasting AI with compute
27:18 Running out of data?
32:37 Three eras of AI training
37:58 Next chip paradigm
44:21 AI takeoff speeds
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Timestamps:
00:00 Introduction
00:36 AI in Poker
09:35 Game-playing AI
13:45 GPT-4 and generative AI
26:41 Human-AI interaction
32:05 AI arms race risks
39:32 Most important century?
42:36 Diminishing returns to intelligence?
49:14 Dataset of human wisdom/meaning
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Timestamps:
00:00 Introduction
01:57 What is Moloch?
04:13 Beauty filters
10:06 Science citations
15:18 Resisting Moloch
20:51 New institutions
26:02 Moloch and WinWin
28:41 Changing systems
33:37 Artificial intelligence
39:14 AI acceleration
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Timestamps:
00:00 Suffering risks
02:50 Space colonization
10:12 Moral circle expansion
19:14 Cooperative artificial intelligence
36:19 Influencing governments
39:34 Can we reduce suffering?
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Timestamps:
00:00 Introduction
00:52 What are suffering risks?
05:40 Artificial sentience
17:18 Is reducing suffering hopelessly difficult?
26:06 Can we know how to reduce suffering?
31:17 Why are suffering risks neglected?
37:31 How do we avoid accidentally increasing suffering?
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Timestamps:
00:00 Introduction
00:55 How useful is advanced mathematics?
02:24 Will AI replace mathematicians?
03:28 What are the key drivers of tech progress?
04:13 What scientific discovery would disrupt Neel's worldview?
05:59 How should humanity view aging?
08:03 How can we live up to our values?
10:56 What can we learn from a person who lived 1.000 years ago?
12:05 What should we do after we have aligned AGI?
16:19 What important concept is often misunderstood?
17:22 What is the most impressive scientific discovery?
18:08 Are language models better learning tools that textbooks?
21:22 Should settling Mars be a priority for humanity?
22:44 How can we focus on our work?
24:04 Are human-AI relationships morally okay?
25:18 Are there aliens in the universe?
26:02 What are Neel's favourite books?
27:15 What is an overlooked positive aspect of humanity?
28:33 Should people spend more time prepping for disaster?
30:41 Neel's advice for teens.
31:55 How will generative AI evolve over the next five years?
32:56 How much can AIs achieve through a web browser?
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Timestamps:
00:00 Introduction
00:46 How early is the field mechanistic interpretability?
03:12 Why should we care about mechanistic interpretability?
06:38 What are some successes in mechanistic interpretability?
16:29 How promising is mechanistic interpretability?
31:13 Is machine learning analogous to evolution?
32:58 How does mechanistic interpretability make AI safer?
36:54 Does mechanistic interpretability help us control AI?
39:57 Will AI models resist interpretation?
43:43 Is mechanistic interpretability fast enough?
54:10 Does mechanistic interpretability give us a general understanding?
57:44 How can you help with mechanistic interpretability?
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Timestamps:
00:00 Who is Neel?
04:41 How did Neel choose to work on AI safety?
12:57 What does an AI safety researcher do?
15:53 How analogous are digital neural networks to brains?
21:34 Are neural networks like alien beings?
29:13 Can humans think like AIs?
35:00 Can AIs help us discover new physics?
39:56 How advanced is the field of AI safety?
45:56 How did Neel form independent opinions on AI?
48:20 How does AI safety research decrease the risk of extinction?
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