Roman Yampolskiy, Professor of Computer Science at the University of Louisville, joins us to discuss whether we can control, comprehend, and explain AI systems, and how this constrains the project of AI safety.

 Topics discussed in this episode include:

-Roman’s results on the unexplainability, incomprehensibility, and uncontrollability of AI
-The relationship between AI safety, control, and alignment
-Virtual worlds as a proposal for solving multi-multi alignment
-AI security

You can find the page for this podcast here: https://futureoflife.org/2021/03/19/roman-yampolskiy-on-the-uncontrollability-incomprehensibility-and-unexplainability-of-ai/

You can find FLI's three new policy focused job postings here: https://futureoflife.org/job-postings/

Have any feedback about the podcast? You can share your thoughts here: www.surveymonkey.com/r/DRBFZCT

Timestamps: 

0:00 Intro 
2:35 Roman’s primary research interests 
4:09 How theoretical proofs help AI safety research 
6:23 How impossibility results constrain computer science systems
10:18 The inability to tell if arbitrary code is friendly or unfriendly 
12:06 Impossibility results clarify what we can do 
14:19 Roman’s results on unexplainability and incomprehensibility 
22:34 Focusing on comprehensibility 
26:17 Roman’s results on uncontrollability 
28:33 Alignment as a subset of safety and control 
30:48 The relationship between unexplainability, incomprehensibility, and uncontrollability with each other and with AI alignment 
33:40 What does it mean to solve AI safety? 
34:19 What do the impossibility results really mean? 
37:07 Virtual worlds and AI alignment 
49:55 AI security and malevolent agents 
53:00 Air gapping, boxing, and other security methods 
58:43 Some examples of historical failures of AI systems and what we can learn from them 
1:01:20 Clarifying impossibility results
1:06 55 Examples of systems failing and what these demonstrate about AI 
1:08:20 Are oracles a valid approach to AI safety? 
1:10:30 Roman’s final thoughts

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable, consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

Roman Yampolskiy on the Uncontrollability, Incomprehensibility, and Unexplainability of AI

Joscha Bach, Cognitive Scientist and AI researcher, as well as Anthony Aguirre, UCSC Professor of Physics, join us to explore the world through the lens of computation and the difficulties we face on the way to beneficial futures.

 Topics discussed in this episode include:

-Understanding the universe through digital physics
-How human consciousness operates and is structured
-The path to aligned AGI and bottlenecks to beneficial futures
-Incentive structures and collective coordination

You can find the page for this podcast here: https://futureoflife.org/2021/03/31/joscha-bach-and-anthony-aguirre-on-digital-physics-and-moving-towards-beneficial-futures/

You can find FLI's three new policy focused job postings here: futureoflife.org/job-postings/

Have any feedback about the podcast? You can share your thoughts here: www.surveymonkey.com/r/DRBFZCT

Timestamps: 

0:00 Intro
3:17 What is truth and knowledge?
11:39 What is subjectivity and objectivity?
14:32 What is the universe ultimately?
19:22 Is the universe a cellular automaton? Is the universe ultimately digital or analogue?
24:05 Hilbert's hotel from the point of view of computation
35:18 Seeing the world as a fractal
38:48 Describing human consciousness
51:10 Meaning, purpose, and harvesting negentropy
55:08 The path to aligned AGI
57:37 Bottlenecks to beneficial futures and existential security
1:06:53 A future with one, several, or many AGI systems? How do we maintain appropriate incentive structures?
1:19:39 Non-duality and collective coordination
1:22:53 What difficulties are there for an idealist worldview that involves computation?
1:27:20 Which features of mind and consciousness are necessarily coupled and which aren't?
1:36:40 Joscha's final thoughts on AGI

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable, consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

Joscha Bach and Anthony Aguirre on Digital Physics and Moving Towards Beneficial Futures

Susan Solomon, internationally recognized atmospheric chemist, and Stephen Andersen, leader of the Montreal Protocol, join us to tell the story of the ozone hole and their roles in helping to bring us back from the brink of disaster.

 Topics discussed in this episode include:

-The industrial and commercial uses of chlorofluorocarbons (CFCs)
-How we discovered the atmospheric effects of CFCs
-The Montreal Protocol and its significance
-Dr. Solomon's, Dr. Farman's, and Dr. Andersen's crucial roles in helping to solve the ozone hole crisis
-Lessons we can take away for climate change and other global catastrophic risks

You can find the page for this podcast here: https://futureoflife.org/2021/09/16/susan-solomon-and-stephen-andersen-on-saving-the-ozone-layer/

Check out the video version of the episode here: https://www.youtube.com/watch?v=7hwh-uDo-6A&ab_channel=FutureofLifeInstitute

Check out the story of the ozone hole crisis here: https://undsci.berkeley.edu/article/0_0_0/ozone_depletion_01

Have any feedback about the podcast? You can share your thoughts here: www.surveymonkey.com/r/DRBFZCT

Timestamps: 

0:00 Intro
3:13 What are CFCs and what was their role in society?
7:09 James Lovelock discovering an abundance of CFCs in the lower atmosphere
12:43 F. Sherwood Rowland's and Mario Molina's research on the atmospheric science of CFCs
19:52 How a single chlorine atom from a CFC molecule can destroy a large amount of ozone
23:12 Moving from models of ozone depletion to empirical evidence of the ozone depleting mechanism
24:41 Joseph Farman and discovering the ozone hole
30:36 Susan Solomon's discovery of the surfaces of high altitude Arctic clouds being crucial for ozone depletion
47:22 The Montreal Protocol
1:00:00 Who were the key stake holders in the Montreal Protocol?
1:03:46 Stephen Andersen's efforts to phase out CFCs as the co-chair of the Montreal Protocol Technology and Economic Assessment Panel
1:13:28 The Montreal Protocol helping to prevent 11 billion metric tons of CO2 emissions per year
1:18:30 Susan and Stephen's key takeaways from their experience with the ozone hole crisis
1:24:24 What world did we avoid through our efforts to save the ozone layer?
1:28:37 The lessons Stephen and Susan take away from their experience working to phase out CFCs from industry
1:34:30 Is action on climate change practical?
1:40:34 Does the Paris Agreement have something like the Montreal Protocol Technology and Economic Assessment Panel?
1:43:23 Final words from Susan and Stephen

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable, consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

Susan Solomon and Stephen Andersen on Saving the Ozone Layer

Rohin Shah, Research Scientist on DeepMind's technical AGI safety team, joins us to discuss: AI value alignment; how an AI Researcher might decide whether to work on AI Safety; and why we don't know that AI systems won't lead to existential risk. 

Topics discussed in this episode include:

- Inner Alignment versus Outer Alignment
- Foundation Models
- Structural AI Risks
- Unipolar versus Multipolar Scenarios
- The Most Important Thing That Impacts the Future of Life

You can find the page for the podcast here:
https://futureoflife.org/2021/11/01/rohin-shah-on-the-state-of-agi-safety-research-in-2021

Watch the video version of this episode here:
https://youtu.be/_5xkh-Rh6Ec

Follow the Alignment Newsletter here: https://rohinshah.com/alignment-newsletter/

Have any feedback about the podcast? You can share your thoughts here:
https://www.surveymonkey.com/r/DRBFZCT

Timestamps: 

0:00 Intro
00:02:22 What is AI alignment?
00:06:00 How has your perspective of this problem changed over the past year?
00:06:28 Inner Alignment
00:13:00 Ways that AI could actually lead to human extinction
00:18:53 Inner Alignment and MACE optimizers
00:20:15 Outer Alignment
00:23:12 The core problem of AI alignment
00:24:54 Learning Systems versus Planning Systems
00:28:10 AI and Existential Risk
00:32:05 The probability of AI existential risk
00:51:31 Core problems in AI alignment
00:54:46 How has AI alignment, as a field of research changed in the last year?
00:54:02 Large scale language models
00:54:50 Foundation Models
00:59:58 Why don't we know that AI systems won't totally kill us all?
01:09:05 How much of the alignment and safety problems in AI will be solved by industry?
01:14:44 Do you think about what beneficial futures look like?
01:19:31 Moral Anti-Realism and AI
01:27:25 Unipolar versus Multipolar Scenarios
01:35:33 What is the safety team at DeepMind up to?
01:35:41 What is the most important thing that impacts the future of life?

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable, consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

Rohin Shah on the State of AGI Safety Research in 2021

David Chalmers, Professor of Philosophy and Neural Science at NYU, joins us to discuss his newest book Reality+: Virtual Worlds and the Problems of Philosophy.

Topics discussed in this episode include:

-Virtual reality as genuine reality
-Why VR is compatible with the good life
-Why we can never know whether we're in a simulation
-Consciousness in virtual realities
-The ethics of simulated beings

You can find the page for the podcast here: https://futureoflife.org/2022/01/26/david-chalmers-on-reality-virtual-worlds-and-the-problems-of-philosophy/

Watch the video version of this episode here: https://www.youtube.com/watch?v=hePEg_h90KI

Check out David's book and website here: http://consc.net/

Follow Lucas on Twitter here: https://twitter.com/lucasfmperry

Have any feedback about the podcast? You can share your thoughts here:
www.surveymonkey.com/r/DRBFZCT

Timestamps: 

0:00 Intro
2:43 How this books fits into David's philosophical journey
9:40 David's favorite part(s) of the book
12:04 What is the thesis of the book?
14:00 The core areas of philosophy and how they fit into Reality+
16:48 Techno-philosophy
19:38 What is "virtual reality?"
21:06 Why is virtual reality "genuine reality?"
25:27 What is the dust theory and what's it have to do with the simulation hypothesis?
29:59 How does the dust theory fit in with arguing for virtual reality as genuine reality?
34:45 Exploring criteria for what it means for something to be real
42:38 What is the common sense view of what is real?
46:19 Is your book intended to address common sense intuitions about virtual reality?
48:51 Nozick's experience machine and how questions of value fit in
54:20 Technological implementations of virtual reality
58:40 How does consciousness fit into all of this?
1:00:18 Substrate independence and if classical computers can be conscious
1:02:35 How do problems of identity fit into virtual reality?
1:04:54 How would David upload himself?
1:08:00 How does the mind body problem fit into Reality+?
1:11:40 Is consciousness the foundation of value?
1:14:23 Does your moral theory affect whether you can live a good life in a virtual reality?
1:17:20 What does a good life in virtual reality look like?
1:19:08 David's favorite VR experiences
1:20:42 What is the moral status of simulated people?
1:22:38 Will there be unconscious simulated people with moral patiency?
1:24:41 Why we can never know we're not in a simulation
1:27:56 David's credences for whether we live in a simulation
1:30:29 Digital physics and what is says about the simulation hypothesis
1:35:21 Imperfect realism and how David sees the world after writing Reality+
1:37:51 David's thoughts on God
1:39:42 Moral realism or anti-realism?
1:40:55 Where to follow David and find Reality+

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable, consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

David Chalmers on Reality+: Virtual Worlds and the Problems of Philosophy

Daniela and Dario Amodei join us to discuss Anthropic: a new AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Topics discussed in this episode include:

-Anthropic's mission and research strategy
-Recent research and papers by Anthropic
-Anthropic's structure as a "public benefit corporation"
-Career opportunities

You can find the page for the podcast here: https://futureoflife.org/2022/03/04/daniela-and-dario-amodei-on-anthropic/

Watch the video version of this episode here: https://www.youtube.com/watch?v=uAA6PZkek4A

Careers at Anthropic: https://www.anthropic.com/#careers

Anthropic's Transformer Circuits research: https://transformer-circuits.pub/

Follow Anthropic on Twitter: https://twitter.com/AnthropicAI

microCOVID Project: https://www.microcovid.org/

Follow Lucas on Twitter: https://twitter.com/lucasfmperry

Have any feedback about the podcast? You can share your thoughts here:
www.surveymonkey.com/r/DRBFZCT

Timestamps: 

0:00 Intro
2:44 What was the intention behind forming Anthropic?
6:28 Do the founders of Anthropic share a similar view on AI?
7:55 What is Anthropic's focused research bet?
11:10 Does AI existential safety fit into Anthropic's work and thinking?
14:14 Examples of AI models today that have properties relevant to future AI existential safety
16:12 Why work on large scale models?
20:02 What does it mean for a model to lie?
22:44 Safety concerns around the open-endedness of large models
29:01 How does safety work fit into race dynamics to more and more powerful AI?
36:16 Anthropic's mission and how it fits into AI alignment
38:40 Why explore large models for AI safety and scaling to more intelligent systems?
43:24 Is Anthropic's research strategy a form of prosaic alignment?
46:22 Anthropic's recent research and papers
49:52 How difficult is it to interpret current AI models?
52:40 Anthropic's research on alignment and societal impact
55:35 Why did you decide to release tools and videos alongside your interpretability research
1:01:04 What is it like working with your sibling?
1:05:33 Inspiration around creating Anthropic
1:12:40 Is there an upward bound on capability gains from scaling current models?
1:18:00 Why is it unlikely that continuously increasing the number of parameters on models will lead to AGI?
1:21:10 Bootstrapping models
1:22:26 How does Anthropic see itself as positioned in the AI safety space?
1:25:35 What does being a public benefit corporation mean for Anthropic?
1:30:55 Anthropic's perspective on windfall profits from powerful AI systems
1:34:07 Issues with current AI systems and their relationship with long-term safety concerns
1:39:30 Anthropic's plan to communicate it's work to technical researchers and policy makers
1:41:28 AI evaluations and monitoring
1:42:50 AI governance
1:45:12 Careers at Anthropic
1:48:30 What it's like working at Anthropic
1:52:48 Why hire people of a wide variety of technical backgrounds?
1:54:33 What's a future you're excited about or hopeful for?
1:59:42 Where to find and follow Anthropic

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable, consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

Podcast

Daniela and Dario Amodei on Anthropic

Tobias Baumann joins the podcast to discuss suffering risks, artificial sentience, and the problem of knowing which actions reduce suffering in the long-term future. You can read more about Tobias' work here: https://centerforreducingsuffering.org. 

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? 

Social Media Links:
➡️ WEBSITE: https://futureoflife.org
➡️ TWITTER: https://twitter.com/FLIxrisk
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Tobias Baumann on Artificial Sentience and Reducing the Risk of Astronomical Suffering

Tobias Baumann joins the podcast to discuss suffering risks, space colonization, and cooperative artificial intelligence. You can read more about Tobias' work here: https://centerforreducingsuffering.org. 

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? 

Social Media Links:
➡️ WEBSITE: https://futureoflife.org
➡️ TWITTER: https://twitter.com/FLIxrisk
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Tobias Baumann on Space Colonization and Cooperative Artificial Intelligence

Lennart Heim joins the podcast to discuss options for governing the compute used by AI labs and potential problems with this approach to AI safety. You can read more about Lennart's work here: https://heim.xyz/about/

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? 

Social Media Links:
➡️ WEBSITE: https://futureoflife.org
➡️ TWITTER: https://twitter.com/FLIxrisk
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Lennart Heim on Compute Governance

Maryanna Saenko joins the podcast to discuss how venture capital works, how to fund innovation, and what the fields of investing and philanthropy could learn from each other. You can read more about Maryanna's work at https://future.ventures 

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? 
 
Social Media Links:
➡️ WEBSITE: https://futureoflife.org
➡️ TWITTER: https://twitter.com/FLIxrisk
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Maryanna Saenko on Venture Capital, Philanthropy, and Ethical Technology

Dan Hendrycks joins the podcast to discuss evolutionary dynamics in AI development and how we could develop AI safely.  You can read more about Dan's work at https://www.safe.ai 

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 

Social Media Links:
➡️ WEBSITE: https://futureoflife.org
➡️ TWITTER: https://twitter.com/FLIxrisk
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Dan Hendrycks on Why Evolution Favors AIs over Humans

On this special episode of the podcast, Jaan Tallinn talks with Nathan Labenz about Jaan's model of AI risk, the future of AI development, and pausing giant AI experiments.

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

Special: Jaan Tallinn on Pausing Giant AI Experiments

Robert Trager joins the podcast to discuss AI governance, the incentives of governments and companies, the track record of international regulation, the security dilemma in AI, cybersecurity at AI companies, and skepticism about AI governance. We also discuss Robert's forthcoming paper International Governance of Civilian AI: A Jurisdictional Certification Approach. You can read more about Robert's work at https://www.governance.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

Robert Trager on International AI Governance and Cybersecurity at AI Companies

Darren McKee joins the podcast to discuss how AI might be difficult to control, which goals and traits AI systems will develop, and whether there's a unified solution to AI alignment. 

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

Darren McKee on Uncontrollable Superintelligence

Carl Robichaud joins the podcast to discuss the new nuclear arms race, how much world leaders and ideologies matter for nuclear risk, and how to reach a stable, low-risk era. You can learn more about Carl's work here: https://www.longview.org/about/carl-robichaud/

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

Carl Robichaud on Preventing Nuclear War

On this special episode of the podcast, Flo Crivello talks with Nathan Labenz about AI as a new form of life, whether attempts to regulate AI risks regulatory capture, how a GPU kill switch could work, and why Flo expects AGI in 2-8 years. 

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

Special: Flo Crivello on AI as a New Form of Life

Roman Yampolskiy joins the podcast again to discuss whether AI is like a Shoggoth, whether scaling laws will hold for more agent-like AIs, evidence that AI is uncontrollable, and whether designing human-like AI would be safer than the current development path. You can read more about Roman's work at http://cecs.louisville.edu/ry/ 

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

Roman Yampolskiy on Shoggoth, Scaling Laws, and Evidence for AI being Uncontrollable

Sneha Revanur joins the podcast to discuss the social effects of AI, the illusory divide between AI ethics and AI safety, the importance of humans in the loop, the different effects of AI on younger and older people, and the importance of AIs identifying as AIs. You can read more about Sneha's work at https://encodejustice.org 

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

Sneha Revanur on the Social Effects of AI

Holly Elmore joins the podcast to discuss pausing frontier AI, hardware overhang, safety research during a pause, the social dynamics of AI risk, and what prevents AGI corporations from collaborating. You can read more about Holly's work at https://pauseai.info 

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

Holly Elmore on Pausing AI, Hardware Overhang, Safety Research, and Protesting

Katja Grace joins the podcast to discuss the largest survey of AI researchers conducted to date, AI researchers' beliefs about different AI risks, capabilities required for continued AI-related transformation, the idea of discontinuous progress, the impacts of AI from either side of the human-level intelligence threshold, intelligence and power, and her thoughts on how we can mitigate AI risk. Find more on Katja's work at https://aiimpacts.org/.

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?

Katja Grace on the Largest Survey of AI Researchers

Annie Jacobsen joins the podcast to lay out a second by second timeline for how nuclear war could happen. We also discuss time pressure, submarines, interceptor missiles, cyberattacks, and concentration of power. You can find more on Annie's work at https://anniejacobsen.com 

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

Annie Jacobsen on Nuclear War - a Second by Second Timeline

Liron Shapira joins the podcast to discuss superintelligence goals, what makes AI different from other technologies, risks from centralizing power, and whether AI can defend us from AI. 

Timestamps:
00:00 Intelligence as optimization-power
05:18 Will LLMs imitate human values? 
07:15 Why would AI develop dangerous goals? 
09:55 Goal-completeness 
12:53 Alignment to which values? 
22:12 Is AI just another technology? 
31:20 What is FOOM? 
38:59 Risks from centralized power 
49:18 Can AI defend us against AI? 
56:28 An Apollo program for AI safety
01:04:49 Do we only have one chance? 
01:07:34 Are we living in a crucial time? 
01:16:52 Would superintelligence be fragile? 
01:21:42 Would human-inspired AI be safe?

Liron Shapira on Superintelligence Goals

Dan Faggella joins the podcast to discuss whether humanity should eventually create AGI, how AI will change power dynamics between institutions, what drives AI progress, and which industries are implementing AI successfully. Find out more about Dan at https://danfaggella.com

Timestamps:
00:00 Value differences in AI 
12:07 Should we eventually create AGI? 
28:22 What is a worthy successor? 
43:19 AI changing power dynamics
59:00 Open source AI 
01:05:07 What drives AI progress? 
01:16:36 What limits AI progress? 
01:26:31 Which industries are using AI?

Dan Faggella on the Race to AGI

Christian Nunes joins the podcast to discuss deepfakes, how they impact women in particular, how we can protect ordinary victims of deepfakes, and the current landscape of deepfake legislation. You can learn more about Christian's work at https://now.org and about the Ban Deepfakes campaign at https://bandeepfakes.org 

Timestamps:
00:00 The National Organisation for Women (NOW) 
05:37 Deepfakes and women 
10:12 Protecting ordinary victims of deepfakes 
16:06 Deepfake legislation 
23:38 Current harm from deepfakes 
30:20 Bodily autonomy as a right 
34:44 NOW's work on AI 

Here's FLI's recommended amendments to legislative proposals on deepfakes: 

https://futureoflife.org/document/recommended-amendments-to-legislative-proposals-on-deepfakes/

Christian Nunes on Deepfakes (with Max Tegmark)

Could an earthquake become an existential or catastrophic risk that puts all of humanity at risk? Seth Baum of the Global Catastrophic Risk Institute and Ariel Conn of the Future of Life Institute consider extreme earthquake scenarios to figure out if such a risk is plausible. Featuring seismologist Martin Chapman of Virginia Tech. (Edit: This was just for fun, in a similar vein to MythBusters. We wanted to see just how far we could go.)

Earthquakes As Existential Risks?

Elon Musk has called it a compelling guide to the challenges and choices in our quest for a great future of life on Earth and beyond, while Stephen Hawking and Ray Kurzweil have referred to it as an introduction and guide to the most important conversation of our time. “It” is Max Tegmark's new book, Life 3.0: Being Human in the Age of Artificial Intelligence.

In this interview, Ariel speaks with Max about the future of artificial intelligence. What will happen when machines surpass humans at every task? Will superhuman artificial intelligence arrive in our lifetime? Can and should it be controlled, and if so, by whom? Can humanity survive in the age of AI? And if so, how can we find meaning and purpose if super-intelligent machines provide for all our needs and make all our contributions superfluous?

Life 3.0: Being Human in the Age of Artificial Intelligence with Max Tegmark

Inverse Reinforcement Learning and Inferring Human Preferences is the first podcast in the new AI Alignment series, hosted by Lucas Perry. This series will be covering and exploring the AI alignment problem across a large variety of domains, reflecting the fundamentally interdisciplinary nature of AI alignment. Broadly, we will be having discussions with technical and non-technical researchers across a variety of areas, such as machine learning, AI safety, governance, coordination, ethics, philosophy, and psychology as they pertain to the project of creating beneficial AI. If this sounds interesting to you, we will hope that you join in the conversations by following or subscribing to us on Youtube, Soundcloud, or your preferred podcast site/application.

In this podcast, Lucas spoke with Dylan Hadfield-Menell, a fifth year Ph.D student at UC Berkeley. Dylan’s research focuses on the value alignment problem in artificial intelligence. He is ultimately concerned with designing algorithms that can learn about and pursue the intended goal of their users, designers, and society in general. His recent work primarily focuses on algorithms for human-robot interaction with unknown preferences and reliability engineering for learning systems. 

Topics discussed in this episode include:

-Inverse reinforcement learning
-Goodhart’s Law and it’s relation to value alignment
-Corrigibility and obedience in AI systems
-IRL and the evolution of human values
-Ethics and moral psychology in AI alignment
-Human preference aggregation
-The future of IRL

AIAP: Inverse Reinforcement Learning and Inferring Human Preferences with Dylan Hadfield-Menell

How are we to make progress on AI alignment given moral uncertainty?  What are the ideal ways of resolving conflicting value systems and views of morality among persons? How ought we to go about AI alignment given that we are unsure about our normative and metaethical theories? How should preferences be aggregated and persons idealized in the context of our uncertainty? 

Moral Uncertainty and the Path to AI Alignment with William MacAskill is the fifth podcast in the new AI Alignment series, hosted by Lucas Perry. For those of you that are new, this series will be covering and exploring the AI alignment problem across a large variety of domains, reflecting the fundamentally interdisciplinary nature of AI alignment. Broadly, we will be having discussions with technical and non-technical researchers across areas such as machine learning, AI safety, governance, coordination, ethics, philosophy, and psychology as they pertain to the project of creating beneficial AI. If this sounds interesting to you, we hope that you will join in the conversations by following us or subscribing to our podcasts on Youtube, SoundCloud, or your preferred podcast site/application.

If you're interested in exploring the interdisciplinary nature of AI alignment, we suggest you take a look here at a preliminary landscape which begins to map this space.

In this podcast, Lucas spoke with William MacAskill. Will is a professor of philosophy at the University of Oxford and is a co-founder of the Center for Effective Altruism, Giving What We Can, and 80,000 Hours. Will helped to create the effective altruism movement and his writing is mainly focused on issues of normative and decision theoretic uncertainty, as well as general issues in ethics.

Topics discussed in this episode include:

-Will’s current normative and metaethical credences
-The value of moral information and moral philosophy
-A taxonomy of the AI alignment problem
-How we ought to practice AI alignment given moral uncertainty
-Moral uncertainty in preference aggregation
-Moral uncertainty in deciding where we ought to be going as a society
-Idealizing persons and their preferences
-The most neglected portion of AI alignment

AIAP: Moral Uncertainty and the Path to AI Alignment with William MacAskill

How can humanity survive the next century of climate change, a growing population, and emerging technological threats? Where do we stand now, and what steps can we take to cooperate and address our greatest existential risks? In this special podcast episode, Ariel speaks with cosmologist Martin Rees about his new book, On the Future: Prospects for Humanity, which discusses humanity’s existential risks and the role that technology plays in determining our collective future.
Topics discussed in this episode include:
- Why Martin remains a technical optimist even as he focuses on existential risks
- The economics and ethics of climate change
- How AI and automation will make it harder for Africa and the Middle East to economically develop
- How high expectations for health care and quality of life also put society at risk
- Why growing inequality could be our most underappreciated global risk
- Martin’s view that biotechnology poses greater risk than AI
- Earth’s carrying capacity and the dangers of overpopulation
- Space travel and why Martin is skeptical of Elon Musk’s plan to colonize Mars
- The ethics of artificial meat, life extension, and cryogenics
- How intelligent life could expand into the galaxy
- Why humans might be unable to answer fundamental questions about the universe

On the Future: An Interview with Martin Rees

In this special two-part podcast Ariel Conn is joined by Max Tegmark for a conversation with Dr. Matthew Meselson, biologist and Thomas Dudley Cabot Professor of the Natural Sciences at Harvard University. Dr. Meselson began his career with an experiment that helped prove Watson and Crick’s hypothesis on the structure and replication of DNA. He then got involved in disarmament, working with the US government to halt the use of Agent Orange in Vietnam and developing the Biological Weapons Convention. From the cellular level to that of international policy, Dr. Meselson has made significant contributions not only to the field of biology, but also towards the mitigation of existential threats.  

In Part One, Dr. Meselson describes how he designed the experiment that helped prove Watson and Crick’s hypothesis, and he explains why this type of research is uniquely valuable to the scientific community. He also recounts his introduction to biological weapons, his reasons for opposing them, and the efforts he undertook to get them banned. Dr. Meselson was a key force behind the U.S. ratification of the Geneva Protocol, a 1925 treaty banning biological warfare, as well as the conception and implementation of the Biological Weapons Convention, the international treaty that bans biological and toxin weapons.

Part 1: From DNA to Banning Biological Weapons With Matthew Meselson and Max Tegmark

The space of AI alignment research is highly dynamic, and it's often difficult to get a bird's eye view of the landscape. This podcast is the first of two parts attempting to partially remedy this by providing an overview of the organizations participating in technical AI research, their specific research directions, and how these approaches all come together to make up the state of technical AI alignment efforts. In this first part, Rohin moves sequentially through the technical research organizations in this space and carves through the field by its varying research philosophies. We also dive into the specifics of many different approaches to AI safety, explore where they disagree, discuss what properties varying approaches attempt to develop/preserve, and hear Rohin's take on these different approaches.

You can take a short (3 minute) survey to share your feedback about the podcast here: https://www.surveymonkey.com/r/YWHDFV7

In this podcast, Lucas spoke with Rohin Shah. Rohin is a 5th year PhD student at UC Berkeley with the Center for Human-Compatible AI, working with Anca Dragan, Pieter Abbeel and Stuart Russell. Every week, he collects and summarizes recent progress relevant to AI alignment in the Alignment Newsletter.

Topics discussed in this episode include:

- The perspectives of CHAI, MIRI, OpenAI, DeepMind, FHI, and others
- Where and why they disagree on technical alignment
- The kinds of properties and features we are trying to ensure in our AI systems
- What Rohin is excited and optimistic about
- Rohin's recommended reading and advice for improving at AI alignment research

AIAP: An Overview of Technical AI Alignment with Rohin Shah (Part 1)

In this short trailer, Ariel Conn talks about FLI's newest podcast series, Not Cool: A Climate Conversation. 
Climate change, to state the obvious, is a huge and complicated problem. Unlike the threats posed by artificial intelligence, biotechnology or nuclear weapons, you don’t need to have an advanced science degree or be a high-ranking government official to start having a meaningful impact on your own carbon footprint. Each of us can begin making lifestyle changes today that will help. We started this podcast because the news about climate change seems to get worse with each new article and report, but the solutions, at least as reported, remain vague and elusive. We wanted to hear from the scientists and experts themselves to learn what’s really going on and how we can all come together to solve this crisis.

Not Cool Prologue: A Climate Conversation

On the premier of Not Cool, Ariel is joined by John Cook: psychologist, climate change communication researcher, and founder of SkepticalScience.com. Much of John’s work focuses on misinformation related to climate change, how it’s propagated, and how to counter it. He offers a historical analysis of climate denial and the motivations behind it, and he debunks some of its most persistent myths. John also discusses his own research on perceived social consensus, the phenomenon he’s termed “climate silence,” and more.

Topics discussed include:

    History of of the study of climate change
    Climate denial: history and motivations
    Persistent climate myths
    How to overcome misinformation
    How to talk to climate deniers
    Perceived social consensus and climate silence

Not Cool Ep 1: John Cook on misinformation and overcoming climate silence

Stuart Russell is one of AI's true pioneers and has been at the forefront of the field for decades. His expertise and forward thinking have culminated in his newest work, Human Compatible: Artificial Intelligence and the Problem of Control. The book is a cornerstone piece, alongside Superintelligence and Life 3.0, that articulates the civilization-scale problem we face of aligning machine intelligence with human goals and values. Not only is this a further articulation and development of the AI alignment problem, but Stuart also proposes a novel solution which bring us to a better understanding of what it will take to create beneficial machine intelligence.

 Topics discussed in this episode include:

-Stuart's intentions in writing the book
-The history of intellectual thought leading up to the control problem
-The problem of control
-Why tool AI won't work
-Messages for different audiences
-Stuart's proposed solution to the control problem

You can find the page for this podcast here: https://futureoflife.org/2019/10/08/ai-alignment-podcast-human-compatible-artificial-intelligence-and-the-problem-of-control-with-stuart-russell/

Important timestamps: 

0:00 Intro
2:10 Intentions and background on the book
4:30 Human intellectual tradition leading up to the problem of control
7:41 Summary of the structure of the book
8:28 The issue with the current formulation of building intelligent machine systems
10:57 Beginnings of a solution
12:54 Might tool AI be of any help here?
16:30 Core message of the book
20:36 How the book is useful for different audiences
26:30 Inferring the preferences of irrational agents
36:30 Why does this all matter?
39:50 What is really at stake?
45:10 Risks and challenges on the path to beneficial AI
54:55 We should consider laws and regulations around AI
01:03:54 How is this book differentiated from those like it?

AIAP: Human Compatible: Artificial Intelligence and the Problem of Control with Stuart Russell

We could all be more altruistic and effective in our service of others, but what exactly is it that's stopping us? What are the biases and cognitive failures that prevent us from properly acting in service of existential risks, statistically large numbers of people, and long-term future considerations? How can we become more effective altruists? Stefan Schubert, a researcher at University of Oxford's Social Behaviour and Ethics Lab, explores questions like these at the intersection of moral psychology and philosophy. This conversation explores the steps that researchers like Stefan are taking to better understand psychology in service of doing the most good we can.

Topics discussed include:

-The psychology of existential risk, longtermism, effective altruism, and speciesism
-Stefan's study "The Psychology of Existential Risks: Moral Judgements about Human Extinction"
-Various works and studies Stefan Schubert has co-authored in these spaces
-How this enables us to be more altruistic

You can find the page and transcript for this podcast here: https://futureoflife.org/2019/12/02/the-psychology-of-existential-risk-and-effective-altruism-with-stefan-schubert/

Timestamps:

0:00 Intro
2:31 Stefan's academic and intellectual journey
5:20 How large is this field?
7:49 Why study the psychology of X-risk and EA?
16:54 What does a better understanding of psychology here enable?
21:10 What are the cognitive limitations psychology helps to elucidate?
23:12 Stefan's study "The Psychology of Existential Risks: Moral Judgements about Human Extinction"
34:45 Messaging on existential risk
37:30 Further areas of study
43:29 Speciesism
49:18 Further studies and work by Stefan

FLI Podcast: The Psychology of Existential Risk and Effective Altruism with Stefan Schubert

Neither Yuval Noah Harari nor Max Tegmark need much in the way of introduction. Both are avant-garde thinkers at the forefront of 21st century discourse around science, technology, society and humanity’s future. This conversation represents a rare opportunity for two intellectual leaders to apply their combined expertise — in physics, artificial intelligence, history, philosophy and anthropology — to some of the most profound issues of our time. Max and Yuval bring their own macroscopic perspectives to this discussion of both cosmological and human history, exploring questions of consciousness, ethics, effective altruism, artificial intelligence, human extinction, emerging technologies and the role of myths and stories in fostering societal collaboration and meaning. We hope that you'll join the Future of Life Institute Podcast for our final conversation of 2019, as we look toward the future and the possibilities it holds for all of us.

Topics discussed include:

-Max and Yuval's views and intuitions about consciousness
-How they ground and think about morality
-Effective altruism and its cause areas of global health/poverty, animal suffering, and existential risk
-The function of myths and stories in human society
-How emerging science, technology, and global paradigms challenge the foundations of many of our stories
-Technological risks of the 21st century

You can find the page and transcript for this podcast here: https://futureoflife.org/2019/12/31/on-consciousness-morality-effective-altruism-myth-with-yuval-noah-harari-max-tegmark/

Timestamps:

0:00 Intro
3:14 Grounding morality and the need for a science of consciousness
11:45 The effective altruism community and it's main cause areas
13:05 Global health
14:44 Animal suffering and factory farming
17:38 Existential risk and the ethics of the long-term future
23:07 Nuclear war as a neglected global risk
24:45 On the risks of near-term AI and of artificial general intelligence and superintelligence
28:37 On creating new stories for the challenges of the 21st century
32:33 The risks of big data and AI enabled human hacking and monitoring
47:40 What does it mean to be human and what should we want to want?
52:29 On positive global visions for the future
59:29 Goodbyes and appreciations
01:00:20 Outro and supporting the Future of Life Institute Podcast

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

On Consciousness, Morality, Effective Altruism & Myth with Yuval Noah Harari & Max Tegmark

In the 1984 book Reasons and Persons, philosopher Derek Parfit asks the reader to consider the following scenario: You step into a teleportation machine that scans your complete atomic structure, annihilates you, and then relays that atomic information to Mars at the speed of light. There, a similar machine recreates your exact atomic structure and composition using locally available resources. Have you just traveled, Parfit asks, or have you committed suicide?

Would you step into this machine? Is the person who emerges on Mars really you? Questions like these –– those that explore the nature of personal identity and challenge our commonly held intuitions about it –– are becoming increasingly important in the face of 21st century technology. Emerging technologies empowered by artificial intelligence will increasingly give us the power to change what it means to be human. AI enabled bio-engineering will allow for human-species divergence via upgrades, and as we arrive at AGI and beyond we may see a world where it is possible to merge with AI directly, upload ourselves, copy and duplicate ourselves arbitrarily, or even manipulate and re-program our sense of identity. Are there ways we can inform and shape human understanding of identity to nudge civilization in the right direction?



Topics discussed in this episode include:

-Identity from epistemic, ontological, and phenomenological perspectives
-Identity formation in biological evolution
-Open, closed, and empty individualism
-The moral relevance of views on identity
-Identity in the world today and on the path to superintelligence and beyond

You can find the page and transcript for this podcast here: https://futureoflife.org/2020/01/15/identity-and-the-ai-revolution-with-david-pearce-and-andres-gomez-emilsson/

Timestamps: 

0:00 - Intro
6:33 - What is identity?
9:52 - Ontological aspects of identity
12:50 - Epistemological and phenomenological aspects of identity
18:21 - Biological evolution of identity
26:23 - Functionality or arbitrariness of identity / whether or not there are right or wrong answers
31:23 - Moral relevance of identity
34:20 - Religion as codifying views on identity
37:50 - Different views on identity
53:16 - The hard problem and the binding problem
56:52 - The problem of causal efficacy, and the palette problem
1:00:12 - Navigating views of identity towards truth
1:08:34 - The relationship between identity and the self model
1:10:43 - The ethical implications of different views on identity
1:21:11 - The consequences of different views on identity on preference weighting
1:26:34 - Identity and AI alignment
1:37:50 - Nationalism and AI alignment
1:42:09 - Cryonics, species divergence, immortality, uploads, and merging.
1:50:28 - Future scenarios from Life 3.0
1:58:35 - The role of identity in the AI itself

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

AIAP: Identity and the AI Revolution with David Pearce and Andrés Gómez Emilsson

Sam Barker, a Berlin-based music producer, and David Pearce, philosopher and author of The Hedonistic Imperative, join us on a special episode of the FLI Podcast to spread some existential hope. Sam is the author of euphoric sound landscapes inspired by the writings of David Pearce, largely exemplified in his latest album — aptly named "Utility." Sam's artistic excellence, motivated by blissful visions of the future, and David's philosophical and technological writings on the potential for the biological domestication of heaven are a perfect match made for the fusion of artistic, moral, and intellectual excellence. This podcast explores what significance Sam found in David's work, how it informed his music production, and Sam and David's optimistic visions of the future; it also features a guest mix by Sam and plenty of musical content.

Topics discussed in this episode include:

-The relationship between Sam's music and David's writing
-Existential hope
-Ideas from the Hedonistic Imperative
-Sam's albums
-The future of art and music

You can find the page for this podcast here: https://futureoflife.org/2020/06/24/sam-barker-and-david-pearce-on-art-paradise-engineering-and-existential-hope-featuring-a-guest-mix/ 

You can find the mix with no interview portion of the podcast here: https://soundcloud.com/futureoflife/barker-hedonic-recalibration-mix

Where to follow Sam Barker :

Soundcloud: https://soundcloud.com/voltek
Twitter: https://twitter.com/samvoltek
Instagram: https://www.instagram.com/samvoltek/
Website: https://www.voltek-labs.net/
Bandcamp: https://sambarker.bandcamp.com/

Where to follow Sam's label, Ostgut Ton: 

Soundcloud: https://soundcloud.com/ostgutton-official
Facebook: https://www.facebook.com/Ostgut.Ton.OFFICIAL/
Twitter: https://twitter.com/ostgutton
Instagram: https://www.instagram.com/ostgut_ton/
Bandcamp: https://ostgut.bandcamp.com/

Timestamps: 

0:00 Intro
5:40 The inspiration around Sam's music
17:38 Barker - Maximum Utility
20:03 David and Sam on their work
23:45 Do any of the tracks evoke specific visions or hopes?
24:40 Barker - Die-Hards Of The Darwinian Order
28:15 Barker - Paradise Engineering
31:20 Barker - Hedonic Treadmill
33:05 The future and evolution of art
54:03 David on how good the future can be
58:36 Guest mix by Barker

Tracklist:

Delta Rain Dance – 1
John Beltran – A Different Dream
Rrose – Horizon
Alexandroid – lvpt3
Datassette – Drizzle Fort
Conrad Sprenger – Opening
JakoJako –  Wavetable#1
Barker & David Goldberg – #3
Barker & Baumecker – Organik (Intro)
Anthony Linell – Fractal Vision
Ametsub – Skydroppin’
Ladyfish\Mewark – Comfortable
JakoJako & Barker – [unreleased]

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable, consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

Sam Barker and David Pearce on Art, Paradise Engineering, and Existential Hope (With Guest Mix)

This is a mix by Barker, Berlin-based music producer, that was featured on our last podcast: Sam Barker and David Pearce on Art, Paradise Engineering, and Existential Hope (With Guest Mix). We hope that you'll find inspiration and well-being in this soundscape. 

You can find the page for this podcast here: https://futureoflife.org/2020/06/24/sam-barker-and-david-pearce-on-art-paradise-engineering-and-existential-hope-featuring-a-guest-mix/

Tracklist: 

Delta Rain Dance - 1
John Beltran - A Different Dream
Rrose - Horizon
Alexandroid - lvpt3
Datassette - Drizzle Fort
Conrad Sprenger - Opening
JakoJako -  Wavetable#1
Barker & David Goldberg - #3
Barker & Baumecker - Organik (Intro)
Anthony Linell - Fractal Vision
Ametsub - Skydroppin’
Ladyfish\Mewark - Comfortable
JakoJako & Barker - [unreleased]

Where to follow Sam Barker :

Soundcloud: @voltek
Twitter: twitter.com/samvoltek
Instagram: www.instagram.com/samvoltek/
Website: www.voltek-labs.net/
Bandcamp: sambarker.bandcamp.com/

Where to follow Sam's label, Ostgut Ton:

Soundcloud: @ostgutton-official
Facebook: www.facebook.com/Ostgut.Ton.OFFICIAL/
Twitter: twitter.com/ostgutton
Instagram: www.instagram.com/ostgut_ton/
Bandcamp: ostgut.bandcamp.com/

This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable, consider supporting it directly by donating at futureoflife.org/donate. Contributions like yours make these conversations possible.

Barker - Hedonic Recalibration (Mix)

The Future of Life Institute (FLI) is a nonprofit working to reduce global catastrophic and existential risk from powerful technologies. In particular, FLI focuses on risks from artificial intelligence (AI), biotechnology, nuclear weapons and climate change.

The Institute's work is made up of three main strands: grantmaking for risk reduction, educational outreach, and advocacy within the United Nations, US government and European Union institutions.

FLI has become one of the world's leading voices on the governance of AI having created one of the earliest and most influential sets of governance principles: the Asilomar AI Principles.

Future of Life Institute

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