Terri Brien’s Post

I can answer your all questions one by one. But not continuously. Now I'm going to explain the action universe. From the following explanation you can get the answers for your last numbers of questions. Can we continue?

This is not a meme; it's an infographic. Array indices always start at 0. If our array looks like this: award_nominated_movies = ["Barbie", "Oppenheimer", "American Fiction"] Then: - award_nominated_movies[0] = "Barbie" - award_nominated_movies[1] = "Oppenheimer" - award_nominated_movies[2] = "American Fiction" When children are born, they're 0 years old... And just like that, the first index of arrays start at 0! 2 different sneak peeks in this post. Please let me know when you find both of the sneak peeks in future events!

The mystic secret super-art of knowing what people want: (a scientific text) Step 1: Ask. There are no other steps.

🎙️ Do you cringe when you hear the sound of your own voice? I definitely have! In this TED Talk, Rébecca Kleinberger explains why so many of us are uncomfortable with our voices. It’s fascinating to learn that this discomfort comes from the way our brain processes sound differently from inside vs. outside our bodies. This really resonated with me as I’ve been working on self-awareness in my own leadership journey. Understanding how others perceive us — whether it’s our voice, our communication style, or leadership approach — is crucial. I’m learning that embracing these aspects, even the uncomfortable ones, can unlock growth. As I continue moving forward in my leadership quest, I’m focused on becoming more confident, asking for feedback, and stepping outside my comfort zone. 👉 Have you ever felt this way? How are you working on self-awareness or personal growth in your leadership? Let’s share ideas and support each other in the comments! #Leadership #SelfAwareness #GrowthMindset #Communication #TedTalks

Interesting facts about our voice. And it is so much more than that! We can raise it for a better world in many different contexts. #voice #raiseyourvoice

In “Why You Don't Like the Sound of Your Own Voice" Rébecca Kleinberger explains the human voice is perceived differently by ourselves and others due to a combination of internal and external auditory signals. We hear our voice both through air conduction (external sound) and bone conduction (internal sound). This dual perception creates a version of our voice sounding different when recorded, leading to discomfort when hearing our own voice played back. She identifies three types of voices: 1. Outward voice – What others hear. 2. Inward voice – What we hear when we speak due to internal bone vibrations. 3. Inner voice – The voice we hear in our thoughts. Kleinberger links this phenomenon to evolutionary biology, noting the development of language, upright posture, and the descent of the larynx shaped how we use and perceive our voices. The talk also touches on how these voices interact in conditions like schizophrenia, where the boundary between inner and outward voices becomes blurred, leading to auditory hallucinations. Correlations to Neurodivergence and Technology: The discussion on inner voices and how they manifest in different individuals resonates with ongoing research into neurodivergent conditions, such as ADHD and autism, where individuals often report heightened inner dialogue or challenges in processing auditory input. Kleinberger's insights could be a gateway to exploring how technology, like AI-driven auditory processing tools, could help neurodivergent individuals manage these experiences more effectively. For instance, AI tools helping differentiate between internal and external stimuli or even modulate voices to match how we perceive them internally could offer substantial benefits. Such technology might support individuals with auditory processing challenges or those who experience discomfort with their own voice, a reported experience among some neurodivergent populations. This TedTalk inspired me to explore connections to both neurodivergence and technology. How does this speak to you?

Definitely have met people who are in love with their voice! But here’s a different take. If you do not know how you sound like, it is indeed difficult to fall in love with your voice. Give this a listen and it may help you voice your thoughts better.. both inwardly and outwardly. #yourvoice #thoughtswordsactions #innervoice

As we have continued to integrate in our AI agent research, humans are unable to understand how they are perceived by others, thus phenomenologically, the construct of our identity is just that, a "construct" as we are a different person to all those we engage with. The same is true for attempting to reconstruct an AI clone of someone. We form a mental construct of different individuals based on our experience, social relationships, and personal significance they hold for us. As such, if looking to generate a clone of one's parents or grand parents, the voice and appearance would not fit their objective appearance as we generally hold a particular recollection of someone in our memory at a particular place and time in their life- therefore, one's grandmother may always be remembered as in their late 50s or early 60s regardless of how they have aged since that imprint. Therefore, we must keep these considerations at the forefront when looking to have AI agents act as different "personalities" or "individuals" even if that is customer service as our notion of identity is neither objective, logical, or consistent. See our research here: Hutson, J. & Ratican, J. (2023). Life, death, and AI: Exploring digital necromancy in popular culture—Ethical considerations, technological limitations, and the pet cemetery conundrum. Metaverse. Special Issue: Application of the Metaverse in Different Industries. Vol 4 (1): 1-12. https://lnkd.in/eWVAgK2j  Hutson, J., Ratican, J. & Biri, C. (2023). Essence as Algorithm: Public Perceptions of AI-Powered Avatars of Real People. DS Journal of Artificial Intelligence and Robotics 1 (2): 1-14. https://lnkd.in/gaQ2zqa8 Hutson, J. & Ratican, J. (2023). Leveraging Generative Agents: Autonomous AI with Simulated Personas for Interactive Simulacra and Collaborative Research. Journal of Innovation and Technology. 1 (15): 2805-5179.  https://lnkd.in/gqGiQNP5   Hutson, J. & Ratican, J. (2023) Individuality and the collective in AI agents: Explorations of shared consciousness and digital homunculi in the metaverse for cultural heritage. Metaverse. 4 (2): 1-21. https://lnkd.in/ghZj2SxQ Ratican, J. Hutson, J. & Plate, D. (2023). Synthesizing Sentience: Integrating Large Language Models and Autonomous Agents for Emulating Human Cognitive Complexity. Journal of Artificial Intelligence, Machine Learning and Data Science. 1 (4) October 20, 2023. 1-7. https://lnkd.in/g5TBzzGT

Notes: 1) You have a different voice for every person you talk to. 2) Outward voice vs Inward voice 3) Three mechanisms: Bone conduction, Mechanical filter, Biological filter 4) By listening a voice you can understand possible failures such as for: - Types of turbulences and non-linearity: Parkinson's disease - Breathiness: Heart disease - Changes of tempo: Depression #ted #tedtalks #tedconferences #voice #prediction

The most challenging part of working as an announcer is listening to yourself.