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Anton Troynikov, the founder of Chroma and Stable Attribution, discusses embeddings, the trade-offs and optimizations involved with working with embeddings at scale, the "Stable Attribution" project, and the big picture of recent AI developments.

(0:00) Preview
(1:17) Sponsor 
(4:00) Anton breaks down the advantages of vector databases
(4:45) How embeddings have created an AI-native way to represent data
(11:50) Anton identifies the watershed moment and step changes in AI
(12:55) Open AI’s pricing
(18:50) How Chroma works
(33:04) Stable Attribution and systematic bias
(36:48) How latent diffusion models work
(51:26) How AI is like the early days of aviation
(56:01) How Disney inspired the release of Stable Attribution
(59:53) Why noise can lead to generalization
(1:01:04) Nathan’s KPI for The Cognitive Revolution
(1:01:59) Other use cases for embedding
(1:03: 19) Anton touches on the applications for biotech
(1:04:35) Anton on doomerism hysteria and what actually worries him
(1:11:43) - Nathan sums up a plausible doomer scenario
(1:20:17) What AI tools does Anton use and why?
(1:22:55) Anton’s hopes for the future

*Thank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off. 

Twitter:
@CogRev_Podcast
@atroyn (Anton)
@labenz (Nathan)
@eriktorenberg (Erik)

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Websites:
cognitivervolution.ai
trychroma.com/
omneky.com 

Show Notes:
-Same Energy visual search engine: https://same.energy/ (Beta)
-Wright Brothers Bio (https://www.amazon.com/Wright-Brothers-David-McCullough/dp/1476728755)
-Ajeya Cotra's article in Less Wrong (https://www.lesswrong.com/posts/pRkFkzwKZ2zfa3R6H/without-specific-countermeasures-the-easiest-path-to)