Episode 12 Fulfillment in the Metaverse | The Feelings Lab
Published on Feb 8, 2022
Will people find fulfillment in the metaverse? Join Hume AI CEO Dr. Alan Cowen, Soul Machines co-founder Greg Cross, and host Matt Forte as they discuss the promises and pitfalls of the metaverse. What exactly is it? Can it be a place where we can create and sustain emotional connections? And what do we stand to gain if we can get it right?
Soul Machines co-founder Greg Cross says delivering emotional connections in the digital world is fundamental to what his company hopes to do, making the machines we interact with more relatable, useful, and helpful to us in our daily lives.
In the world of digital avatars, when is it important to have a “body” and not just a voice? Dr. Alan Cowen asks Soul Machines co-founder Greg Cross when the benefits of virtual bodies are most pronounced when compared to voice-only assistants.
From privacy to anthropomorphism, Dr. Alan Cowen asks Greg Cross how he separates the rational concerns from the irrational fears of AI and the metaverse.
Soul Machines' co-founder Greg Cross asserts that the technology his company is developing does not seek to replace human beings. It should be deployed where it can make our lives better, for instance, by providing improved access to healthcare and education.
Subscribe
Sign up now to get notified of any updates or new articles.
Share article
Recent articles
Introducing Hume’s Empathic Voice Interface (EVI) API
Last month, we released the demo of our Empathic Voice Interface (EVI). The first emotionally intelligent voice AI API is finally here! EVI does a lot more than stitch together transcription, LLMs, and text-to-speech. With a new empathic LLM (eLLM) that processes your tone of voice, EVI unlocks new capabilities like knowing when to speak, generating more empathic language, and intelligently modulating its own tune, rhythm, and timbre. EVI is the first voice AI that really sounds like it understands you.
What is semantic space theory?
Our models and products are built on a cutting-edge approach to understanding emotion: semantic space theory (SST), which uses computational methods and data-driven approaches to map the full spectrum of our feelings