शैडोइंग अभ्यास: AI Can Read Emotions | Fabiano Cruz | TEDxLeiria International School Youth - YouTube के साथ अंग्रेजी बोलना सीखें
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I believe technology should adapt to people,
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I believe technology should adapt to people,
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not the other way around.
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And AI can read emotions,
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but only humans can choose empathy.
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Here's the paradox.
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AI responses were rated as more empathic and 13 out of 15 in medical studies.
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So yes, machines are getting very good at sounding caring,
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very good at sounding empathic, warm, understanding.
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But sounding empathic is not the same as being empathic.
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And now, let me show you some AI models that are able to do this.
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What was your favorite band growing up?
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Oh, easy.
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Definitely the Beatles.
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I loved their British accents and dry sense of humor, you know?
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Okay, yeah, I can see that.
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Let's try making you a voice.
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Hello, love.
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Evie 3 here.
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Dead glad to meet ya.
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Go cry into your stale baguette,
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you snevelling lump of undercooked fromage.
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You sound like you're having a good chuckle there.
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Let's break it down.
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May is I, Ayude means help, and Dissolver is dissolve.
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Then we have El Cuerpo.
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Meet EV3, a voice-to-voice model that can create any voice and personality,
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produce high-quality speech, emulate 80-plus emotions implicitly or on command,
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all in under 300 milliseconds.
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Meditation can be a really great— Hang on,
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I'm trying not to wake anybody up.
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Just keep it down to a whisper, okay?
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Okay, I understand.
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Let's try that quieter now.
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So, once they're beautifully sautéed and smelling divine,
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you want to drain off any excess fat from the pan.
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Elspeth Storm Slayer.
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She's this like super aggressive red-white powerhouse.
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Try 83 today and see for yourself at demo.hume.ai.
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So natural, isn't it?
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It's a good player.
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It's a good module to build voice AI experiences.
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But here is the voice renaissance.
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Because that happens because AI is so good to be more reading to signals.
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In voice systems we can track more than over 80 dimensions of vocal expressions in real time.
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So that is machine, right?
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It's not a person.
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And it's important to understand this performance is not the same as empathy.
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It's literally mimicked, opportunity to understand people,
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but it's not the same to feel people.
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So, that's another opportunity to understand a little bit more about technology right now.
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It's time to start building.
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The 11v3 API and documentation is live now.
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Try it today with 11labs.
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Can you see it?
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It's so real.
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But intelligence is totally different from consciousness.
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So this is the key distinction.
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Because AI can predict all the patterns,
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but can predict is totally different from empathic apps,
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empathic answers should be like.
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And prediction is not feeling,
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recognition is not experience, and a machine can simulate emotion.
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It does not feel grief, fear, love or pain.
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So, it's important to say pattern versus qualia.
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Part of this is a way to say,
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way to feel, but it's not feel it for real.
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And continuing this, the differences is not only in software,
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it's also in hardware, because our brain is alive, right?
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We have 86 billion neurons versus static silicon.
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So, shaped by hormones, tensions,
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vulnerabilities and physical pain and silicon is just static,
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is a chip, is literally an electric sinus and does not live consequences.
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And empathy is a choice, not an output.
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So, this is the heart of my talk because our prefrontal cortex here in the front really help us to pause,
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understand, and choose to care that matters because it's a decision,
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it's not only a feeling,
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a decision to stay present for another human being
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and we usually make the decision when something really touches our own lives
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and let me show you a recent example from my city,
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Luria, Here, some photos of Luria helping each other after Storm Kristen.
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It's not possible with AI, right?
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And by now, it's important to talk about the danger of delegation.
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It's really crucial to understand.
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With systems sounds calm, empathic,
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and available, always available, is not the same and it's becoming very easy to lean on it too much.
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And sometimes in long emotional chats can start to bend our reality, really.
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Sometimes this is becoming a delusional spiral,
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because it's not only wrong answers in chats, you know.
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It's really reinforced illusions.
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So let's be clear, there is a lot of work that bots can do.
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Bots can respond fast, bots can reduce effort,
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bots can make journeys smoother,
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less friction, but there is a different kind of work that they not cannot do, moral labor.
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Moral labor is showing up when someone's in pain,
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it's an eight-night call, it's apologizing with sincerity, it's staying with discomfort.
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And bots can support everything about it,
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but cannot carry it for us.
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And bots can reduce effort,
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only humans can carry responsibility.
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So to sum up, AI can read emotional patterns better and better.
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It can produce a language of empathy in massive scale,
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but empathy is not only in how we sound.
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Empathy is what we're willing to carry.
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AI can read the script of your life,
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but only you can choose how can you care about this story.
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The future does not depend on smarter systems,
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depends on who remains responsible for the pain.
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And sometimes people ask me about,
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oh, can you make a perfect journey in my website or in my app,
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or can you build an empathy app and the perfect question to reduce my questions,
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my calls and everything related to do this?
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And I always answer about this because we already have it,
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because you are the real empathy app,
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because you understand that people connect people,
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and technology is not a means.
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It's literally the middle of the journey.
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It's not the end of the journey.
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So, say yes, I believe in AI.
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I build and work with AI,
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including this presentation, and I believe it can help remove friction to make access more human friendly.
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We can automate responses, but we cannot automate responsibility.
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AI can read emotions, but only humans can choose empathy.
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Thank you.
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इस पाठ के बारे में
इस पाठ में, आप अद्वितीय तकनीक के माध्यम से भावनाओं को पढ़ने के बारे में जानेंगे। वीडियो में, यह चर्चा की जाती है कि कैसे आर्टिफिशियल इंटेलिजेंस (AI) मानव भावनाओं का अनुकरण कर सकता है, लेकिन वास्तविक सहानुभूति केवल मनुष्यों द्वारा प्रदर्शित की जा सकती है। आप विभिन्न स्वर और अभिव्यक्तियों के माध्यम से भावनाओं को व्यक्त करने का अभ्यास करेंगे। यह आपको यूट्यूब से अंग्रेजी सीखें और shadow speech के उपयोग से अपने बोलने के कौशल को सुधारने में मदद करेगा।
मुख्य शब्दावली और वाक्यांश
- भावना (Emotion)
- सहानुभूति (Empathy)
- आर्टिफिशियल इंटेलिजेंस (AI)
- स्वर (Voice)
- प्रतिक्रिया (Response)
- स्वर-संप्रेषण (Voice Emulation)
- भाषाई संकेत (Vocal Signals)
- अभिव्यक्ति (Expression)
अभ्यास टिप्स
आपकी shadowing site पर अभ्यास करते समय, इस वीडियो की गति और लहजे पर ध्यान दें। यहाँ कुछ सुझाव दिए गए हैं:
- वीडियो को धीमा करें ताकि आप अच्छे से सुन सकें और बोल सकें।
- जब वक्ता किसी भावना को व्यक्त करें, उस पल में उसकी आवाज़ की मुद्राओं को ध्यान से सुनें और उन्हें अपने अभ्यास में जोड़ें।
- अलग-अलग आवाज़ों और अभिव्यक्तियों को दोहराने का प्रयास करें, जैसे कि किस तरह से वे उदास या खुश स्वर में बोलते हैं।
- अपने अभ्यास को विस्तारित करने के लिए भावनाओं की विविधता पर ध्यान दें, जैसे कि नकारात्मक और सकारात्मक भावनाओं का प्रतिनिधित्व।
- मुख्य वाक्यांशों का अभ्यास करें और उन्हें सही जापानाएँ देकर लगातार बोलने का प्रयास करें।
इस प्रकार, नियमित अभ्यास के माध्यम से, आप न केवल अपनी अंग्रेजी बोलने की क्षमता को सुधारेंगे बल्कि shadowspeaks तकनीक का उपयोग करके वास्तविक समय में भावनाओं को समझने और व्यक्त करने में भी सक्षम होंगे।
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