Future of Life Institute Podcast Future of Life Institute

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

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?

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

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

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

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