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Introducing the Hume Audio Decision API. Ask anything: How many speakers? Is anyone laughing? Is the caller frustrated? What used to take 10+ models is now one call. Trained on 10M+ human judgments, so it answers the way human listeners would. Realtime, or across hours of recordings. Request access below.

4,695,648 Aufrufe • vor 8 Tagen •via X (Twitter)

20 Kommentare

Profilbild von Hume AI
Hume AIvor 8 Tagen

Get started with the Hume Audio Decision API:

Profilbild von Paul Mit
Paul Mitvor 8 Tagen

this is a gamechanger. tone is everything in sales!

Profilbild von klöss
klössvor 8 Tagen

somebody finally taught AI what a long exhale means love to see it!

Profilbild von Markets & Mayhem
Markets & Mayhemvor 8 Tagen

This is the layer that we need much better understanding. I think being able to understand emotion, intent and differentiate in real-time is crucial for delivering a better experience. Glad to see progress being made here. Great work, team!

Profilbild von EP
EPvor 8 Tagen

real-time jarvis

Profilbild von Andrew Ettinger
Andrew Ettingervor 8 Tagen

Amazing work by the team as we are seeing amazing results from early customers as voice can finally be understood in real time!

Profilbild von Ihtesham Ali
Ihtesham Alivor 8 Tagen

This is next level. Congrats on the launch.

Profilbild von Rimsha Bhardwaj
Rimsha Bhardwajvor 8 Tagen

This is happening very fast and I am all in for it!

Profilbild von Aaron Greene
Aaron Greenevor 8 Tagen

Nice this also seems useful for analyzing my own audio recordings, good work

Profilbild von Aaliya
Aaliyavor 8 Tagen

awesome asking q directly about hrs of recordings without stitching together multiple tools is a useful shift.

Profilbild von Nav Toor
Nav Toorvor 8 Tagen

this could change customer support

Profilbild von Emily Beimfohr
Emily Beimfohrvor 8 Tagen

this is such a massive unlock for so many people across so many industries. LFG!!! so excited. see you on the playground!!!! 🤸‍♀️

Profilbild von andrew muggia
andrew muggiavor 8 Tagen

Huge launch with endless use cases. Amazing work team!!

Profilbild von Jacob Metrick
Jacob Metrickvor 8 Tagen

Really proud of all the folks on the team for this model. Very fast, very accurate, very cool!

Profilbild von Kushagra Yadav
Kushagra Yadavvor 8 Tagen

@EXM7777 this is really big!! Really proud of the team🎉🔥🔥

Profilbild von Pablo Giménez
Pablo Giménezvor 8 Tagen

Wow! Congrats to the whole team!

Profilbild von dudu
duduvor 8 Tagen

imagine being able to identify a karen and map them to the right rep

Profilbild von Dhaval Makwana
Dhaval Makwanavor 8 Tagen

Do you think voice AI has been relying on transcripts for too long?

Profilbild von Yuli Kay
Yuli Kayvor 8 Tagen

this is such a game-changer!! even though sometimes it's hard to "translate" Eastern european woman emotions 😂 I'm sure AI is the only one that can do that !!

Profilbild von Abdul Shakoor
Abdul Shakoorvor 8 Tagen

Most systems can transcribe speech, but understanding how something was said is an entirely different challenge

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This AI can read emotions better than you can. It was created by Hume (Hume AI) an AI research lab developing models that can read your face and your voice with uncanny accuracy. Their hope is that models that can read your emotions will help create AI that optimizes for human well-being. I sat down with Alan Cowen (Alan Cowen), the co-founder and CEO of Hume to talk about how all of this works: the science of emotion, AI that optimizes for human well-being, and more. Before starting Hume, Alan helped set up Google’s research into affective computing and got a Ph.D. in computational psychology from Berkeley. He's one of the bright lights in AI, and this was an incredible conversation. We get into: - What an emotion actually is - Why traditional psychological theories of emotion are inadequate - How Hume is able to model human emotions - How Hume's API enables developers to build empathetic voice interfaces - Applications of the model in customer service, gaming, and therapy - Why Hume is designed to optimize for human well-being instead of engagement - The ethical concerns around creating an AI that can interpret human emotions - The future of psychology as a science This is a must-watch for anyone interested in the science of emotion and the future of human-AI interactions. Watch! --- Timestamps: I tell Hume’s empathetic AI model a secret: 00:00:00 Introduction: 00:01:13 What traditional psychology tells us about emotions: 00:10:17 Alan’s radical approach to studying human emotion: 00:13:46 Methods that Hume’s AI model uses to understand emotion: 00:16:46 How the model accounts for individual differences: 00:21:08 My pet theory on why it’s been hard to make progress in psychology: 00:27:19 The ways in which Alan thinks Hume can be used: 00:38:12 How Alan is thinking about the API v. consumer product question: 00:41:22

Dan Shipper 📧

45,941 Aufrufe • vor 2 Jahren