The Impact of AI on Image Colorization

Emil is the co-founder of palette.fm (colorizing B&W pictures with generative AI) and was previously working in deep learning for Google Arts & Culture.

We were talking about Sora on a daily basis, so I decided to record our conversation, and then proceeded to confront him about AI risk.

Patreon: https://www.patreon.com/theinsideview Sora: https://openai.com/sora Palette: https://palette.fm/ Emil: https://twitter.com/EmilWallner

OUTLINE

(00:00) this is not a podcast

(01:50) living in parallel universes

(04:27) palette.fm - colorizing b&w pictures

(06:35) Emil's first reaction to sora, latent diffusion, world models

(09:06) simulating minecraft, midjourney's 3d modeling goal

(11:04) generating camera angles, game engines, metadata, ground-truth

(13:44) doesn't remove all artifacts, surprising limitations: both smart and dumb

(15:42) did sora make emil depressed about his job

(18:44) OpenAI is starting to have a monopoly

(20:20) hardware costs, commoditized models, distribution

(23:34) challenges, applications building on features, distribution

(29:18) different reactions to sora, depressed builders, automation

(31:00) sora was 2y early, applications don't need object permanence

(33:38) Emil is pro open source and acceleration

(34:43) Emil is not scared of recursive self-improvement

(36:18) self-improvement already exists in current models

(38:02) emil is bearish on recursive self-improvement without diminishing returns now

(42:43) are models getting more and more general? is there any substantial multimodal transfer?

(44:37) should we start building guardrails before seeing substantial evidence of human-level reasoning?

(48:35) progressively releasing models, making them more aligned, AI helping with alignment research

(51:49) should AI be regulated at all? should self-improving AI be regulated?

(53:49) would a faster emil be able to takeover the world?

(56:48) is competition a race to bottom or does it lead to better products?

(58:23) slow vs. fast takeoffs, measuring progress in iq points

(01:01:12) flipping the interview

(01:01:36) the "we're living in parallel universes" monologue

(01:07:14) priors are unscientific, looking at current problems vs. speculating

(01:09:18) AI risk & Covid, appropriate resources for risk management

(01:11:23) pushing technology forward accelerates races and increases risk

(01:15:50) sora was surprising, things that seem far are sometimes around the corner

(01:17:30) hard to tell what's not possible in 5 years that would be possible in 20 years

(01:18:06) evidence for a break on AI progress: sleeper agents, sora, bing

(01:21:58) multimodality transfer, leveraging video data, leveraging simulators, data quality

(01:25:14) is sora is about length, consistency, or just "scale is all you need" for video?

(01:26:25) highjacking language models to say nice things is the new SEO

(01:27:01) what would michael do as CEO of OpenAI

(01:29:45) on the difficulty of budgeting between capabilities and alignment research

(01:31:11) ai race: the descriptive pessimistive view vs. the moral view, evidence of cooperation

(01:34:00) making progress on alignment without accelerating races, the foundational model business, competition

(01:37:30) what emil changed his mind about: AI could enable exploits that spread quickly, misuse

(01:40:59) michael's update as a friend

(01:41:51) emil's experience as a patreon