Hume CEO Alan Cowen on Creating Emotionally Aware AI

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@labenz (Nathan)
@AlanCowen (Alan)
@eriktorenberg (Erik)
@CogRev_Podcast

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TIMESTAMPS:
(00:00) - Episode Preview
(00:04:52) - How do you define happiness? How can AI make people happy?
(00:08:40) - The striking experience of trying the Hume demo
(00:09:16) - Building multimodal models using facial expressions, vocal signals, speech patterns
(00:12:27) - How Hume’s models have an advantage of LLMs when it comes to interpreting emotions
(00:13:23) - Assembling diverse datasets of emotional judgments via surveys
(00:15:27) - Sponsor: Shopify
(00:22:00) - Across populations, what is common or different in people’s judgement of facial expressions
(00:26:00) - Interrater reliability for training data
(00:30:48) - Sponsor: Omneky
(00:33:20) - The unique labelling of “awe” across different cultures
(00:36:23) - Customizing models for cultural emotional expression norms
(00:41:13) - How they determined the set of emotions recognized by the model
(00:42:50) - Schadenfreude as a unique example of semantic space research
(00:49:00) - Custom models
(00:52:42) - Using Hume in B2B contexts
(00:59:49) - The cost comparison of having a human analyze emotions vs AI

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[Aandreus]

There are so many great nuggets of insights in this interview, mahalo for asking excellent questions to an excellent founder. Empathy embedded AI can only be created by humans that value empathy, and I am grateful Alan and the Hume team are undertaking such a monumental component of the paradigm shift emerging from the ashes of the obsolete illusions of multipolar traps, scarcity head fakes, human hierarchy as virtue, or any of the other centrally distributed versions of how survival will look.

[ronanhughes]

For me this is the most exciting part of AI, also the most scary if misused.

[rupertllavore]

BROO THIS IS IMAGINE HOW THIS COULD COMPARE AGAINST LIE DETECTORS