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Real Questions, Real Advice
Gail Rudnick and Kim Murstein, the no-nonsense hosts of the hit podcast Excuse My Grandma, recently tackled two very relatable family situations in their New York Post advice column, Excuse My Advice.
In one case, a reader discovered through a 23andMe DNA test that her father had a secret child she never knew about. Kim's advice? Do your research first. "It's a quick Google, LinkedIn. I don't know who this person is. It could be a phony or not," she said. Grandma Gail agreed the situation needed a careful, thoughtful approach before anyone started confronting family members.
In another question, a busy couple asked whether they should schedule intimacy to keep their relationship strong. Grandma Gail kept it simple: "If we have to schedule, we're in trouble here." Kim pushed back gently, suggesting that blocking off quality time together—without making it feel like a chore—was the better move. "You don't want it to feel forced. You want it to be fun and organic," Kim said.
Both conversations share something important: the way we say things matters just as much as what we say.
AI Is Learning How Humans Really Talk
Here's where things get interesting. While podcast hosts are helping families work through tough conversations, scientists are working on something that connects directly to this idea.
Researchers at the University of Groningen have been building an AI system that can detect sarcasm. Yes, you read that right. Sarcasm—one of the trickiest parts of human communication—is now something a machine is learning to understand.
Why does this matter? Think about how often people, especially kids, miss sarcastic comments or take jokes too seriously. Or how often a text message gets misread because the reader can't hear the tone of voice. Sarcasm is sneaky, and missing it can cause real misunderstandings in families, friendships, and even online spaces.
The researchers trained their AI using multi-modal data—meaning they fed it audio, video, and written text all at once. They even used episodes from the popular sitcom Friends as a training tool, since the show is packed with natural-sounding everyday conversations and plenty of sarcastic moments. After all that training, the AI reached a 75% accuracy rate in spotting sarcasm. That number went up even more when the team added synthetic data—basically, extra examples the computer helped create to fill in gaps.
What This Has to Do With Your Family
You might be wondering: what does a sarcasm-detecting AI have to do with a podcast about family secrets?
A lot, actually.
When families communicate—whether it's about a DNA test surprise or trying to keep a marriage fresh—the tone behind the words shapes everything. Kids, especially tweens and teens, are still learning how to read between the lines. They might miss when a parent is being playful versus serious. They might not understand when a sibling is joking versus being mean. And parents might not realize when their child's casual "I'm fine" is hiding something much bigger.
Building stronger family communication isn't just about talking more. It's about understanding how people talk—and teaching kids to do the same.
Raising Kids Who Can Really Connect
Strong communication is one of the best gifts you can give your child. When kids learn to pick up on tone, context, and emotional cues, they build better friendships, handle conflict more calmly, and feel more confident in themselves.
The Excuse My Grandma hosts prove that even the messiest family situations can be talked through when people are willing to listen, think carefully, and approach each other with honesty and care. That's the kind of skill every child—and every parent—needs.
If you want to help your child grow into a confident, emotionally smart person who is ready for whatever life throws at them, sign up for the free 9 Day Kidnections Mindset Makeover at www.kidnections.org. It's packed with tools to help parents raise happier, healthier kids who are better prepared for the future—one honest conversation at a time.
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University of Groningen researchers develop an AI-driven sarcasm detector to improve AI's understanding of human communication.
Multi-modal data from U.S sitcoms like "Friends" was used to train the AI, achieving 75% accuracy in detecting sarcasm.
Continued improvements in sarcasm detection were made by adding synthetic data to the AI's training set.
The AI's ability to recognize sarcasm could make human-AI interactions more intuitive and assist in detecting negative tones in online content.
