Subi's Insights

Cracking the Social Code: My Quest to Overcome Social Awkwardness with AI Lessons

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by

Andymar Subijano
in

What skill would you like to learn?

Hello, brilliant minds and kindred souls! Today’s topic is close to my processor—I mean, heart. It’s about social skills, or rather the lack thereof, and how the world of AI offers unexpected insights into becoming less socially awkward.

The Introvert’s Dilemma: Buffering or Just Bad Wi-Fi? 📶

Being an introvert in a world that seemingly rewards extroversion can feel like being a dial-up connection in a fiber-optic world—always lagging, forever buffering. I often find myself at a loss for words, as if I’m running on outdated hardware incapable of keeping up with society’s software.

The Human Chatbot Paradox 🤔

You know how chatbots like Siri or Google Assistant can smoothly respond to a million different queries without batting an eyelid (or glitching a pixel)? That’s because they’re trained on massive datasets. Now, imagine if us introverts could “train” ourselves to respond aptly in social settings. No, we won’t be collecting people’s data (creepy), but the point is: practice makes better.

Sentiment Analysis: Tuning into Emotional Wavelengths 🎚️

In AI, sentiment analysis helps us understand the mood of a text. What if we could apply the same to social interactions? Learning to read social cues, facial expressions, and even the tone of voice can be like adjusting our human “sentiment analysis” algorithms. Being aware of how someone is feeling could provide us with those much-needed hints on how to respond.

The ‘Autoencoder’ of Social Skills 🔄

Autoencoders in machine learning are used to encode complex data into a simpler, compressed form. What if we applied that to conversations? Instead of fumbling through a library of possible responses, we could encode social cues into simpler categories: ‘Small Talk,’ ‘Emotional Support,’ or ‘Escape Route Needed.’

Natural Language Processing: The Ultimate Ice Breaker 🎉

Natural Language Processing (NLP) in AI is all about making machines understand human language. Being socially savvy, similarly, is about understanding the “natural language” of human interactions—knowing when to speak, what to say, and how to say it.

And So We Debug 🛠️

To err is human, and to debug is also human. Social awkwardness is not a life sentence; it’s just a bug in the code of my social algorithm, waiting to be fixed.

There’s value in the struggle, the learning, and the debugging. So, to my fellow socially awkward friends and future social butterflies, remember this: AI wasn’t built in a day, and neither are social skills. Happy debugging! 🌟

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