Calvin's Updates

The Latchkey Club Daily Draft — August 24, 2026

Teleprompter / Blog Script

The other night, everybody was in the same room, but we weren’t really watching the same thing.

One person had a show going. Somebody else was scrolling short videos. I was looking for something on my phone while pretending I was still following what was on the television.

We were together. Technically.

But each screen had its own little version of the evening.

Welcome back to the channel, guys. Today I wanted to talk about what happens when technology gets so good at giving each of us exactly what we like that we stop having much to share.

I’ve talked before about appointment television and those nights when millions of people watched the same episode at the same time. I don’t want to repeat that whole conversation. Streaming solved real problems. You can watch when you have time. You can pause. You can find a strange documentary that never would have survived a network schedule.

I like all of that.

But the technology is moving past having a private list of shows. AI is becoming part of how media gets recommended, searched, translated, edited, and made. It isn’t hard to imagine the next step: stories adjusted to our taste, characters we prefer, a pace that keeps us from getting bored, maybe even a version generated for an audience of one.

That could be impressive.

It also sounds a little lonely.

Because a story made exactly for me may fit me perfectly, but who do I talk to about it afterward?

Gen X grew up with very little control over media compared with what we have now. There were a few channels. The television schedule was the schedule. If the family was watching something you didn’t choose, you either watched it too, went outside, or found something else to do.

I’m not going to pretend all of that was better. A lot of television was forgettable, and missing an episode meant you might never see it again.

But the lack of choice created a strange kind of common ground.

You watched something because the rest of the house was watching it. You learned why another person thought it was funny. You sat through a story that wasn’t aimed directly at your age, your politics, your mood, or your viewing history.

Then the next day, somebody else had seen it too.

That common ground mattered more than I understood at the time.

Now almost every platform asks the same basic question: What do you want next?

The recommendation gets better every time we click, skip, pause, or stay. And now generative AI could make the content itself more responsive, not just the menu around it.

Again, I’m not saying that is automatically bad. Personalization can help people find useful material, hear something in their language, or discover a creator who would never get a network television slot. For somebody over 50 trying to learn a new tool, manage a health issue, change careers, or understand retirement, a good recommendation can save hours.

The problem is not that technology knows what I like.

The problem is when what I like becomes the only thing I’m willing to give attention to.

I think people our age may have an advantage here, if we use it. We remember life before everything was optimized around the individual. We know that not every worthwhile experience begins with personal preference.

Sometimes you watched the movie your spouse chose and ended up liking it. Sometimes you listened to the music your kid cared about long enough to understand something about them. Sometimes a coworker recommended a book you never would have selected, and it gave you language for a problem you had been carrying.

Those experiences require a small surrender of control.

That’s not a popular feature in modern technology. The whole system is built to remove friction. If I’m bored, swipe. If I disagree, find another voice. If a scene moves too slowly, watch at one and a half speed. If the first ten seconds don’t reward me, leave.

After a while, that can become more than a media habit. It can become the way we treat people.

We start expecting every conversation to hold our attention immediately. We expect every opinion to fit inside what we already believe. We become less willing to stay with a story, or a person, long enough for something unfamiliar to make sense.

I’m including myself in that. My attention is not somehow protected because I remember rotary phones and three television networks. I can scroll right past something faster than anybody.

Memory is not immunity.

But memory can be a warning.

We know what it felt like to have common references. We know how a television finale, a song, a news event, or even a commercial could give very different people a doorway into the same conversation.

I don’t think the answer is trying to force the whole country back onto one channel. That world is gone, and parts of it deserved to go. A few gatekeepers decided what everybody got to see, and a lot of voices were left outside.

The answer may be much smaller and more local.

A family chooses one thing to watch together, and the person who picks changes each week.

A couple agrees not to spend forty minutes separately searching for the perfect show. One person chooses, the other person gives it a fair chance, and next time they switch.

A group of friends reads the same article before meeting. A team at work shares one short piece that has nothing to do with a deadline. A parent asks an adult child, “What are you watching that actually matters to you?” and then watches it without using the question as a setup for a lecture.

The point is not the content itself.

The point is choosing to place our attention beside somebody else’s.

AI could even help with that if we give it the right assignment. Instead of asking, “What will I like?” ask, “What might three people with different tastes enjoy together?” Instead of generating a perfect personal feed, use it to find the overlap.

That is a different design goal.

One optimizes for keeping me engaged. The other helps create something we can discuss.

And I think that difference matters as we get older. Retirement can remove a lot of the automatic common ground that work provided. Kids grow up. Schedules separate. Friends move. If every remaining interest becomes private and personalized, it gets easier to live near people without sharing much life with them.

So maybe one part of preparing for the next season is protecting a few things that are ours, not just mine.

A weekly meal. A show. A walk. A project. A church community. A regular conversation where nobody is checking whether the algorithm has something more interesting waiting.

I’m not against personalized technology. I use it constantly, and some of it is genuinely useful. I just don’t want convenience to train me out of the ability to join somebody else’s world.

The tool can learn my preferences. That doesn’t mean my preferences should run the house.

So that’s what I’m thinking about this week. Not whether streaming or AI is ruining culture. That question is too big and probably too easy.

The smaller question is this: what do I regularly choose with another person, even when it would be easier to choose only for myself?

If the answer is nothing, maybe the problem isn’t the algorithm. Maybe I’ve let the algorithm make a decision I should still be making.

I’d be curious what you still watch, read, listen to, or do with other people on purpose. Leave me a note in the comments. Thanks for listening.

Video Prompt Script — Questions to Answer Without Reading

Use these as prompts. Don't read them on camera; answer them naturally.

1. Opening moment: When were you recently in the same room with other people while everyone consumed something different?
   • Follow-up: Did it feel like being together, or just being nearby?
2. What changed: How is AI moving personalization beyond a private queue and toward media that may be adjusted or created for one person?
   • Follow-up: What sounds useful about that, and what sounds lonely?
3. Gen X memory: What did limited channels and fixed schedules force families or coworkers to share?
   • Follow-up: What was genuinely inconvenient about that era, and what common ground did it create?
4. The real concern: Why isn’t the problem simply that technology knows what you like?
   • Follow-up: What happens when your preferences become the only things you will give attention to?
5. Attention and relationships: How can skipping, swiping, and instant replacement shape the way we listen to people?
   • Follow-up: Where have you noticed this habit in yourself?
6. The 55+ advantage: What do older adults remember about shared reference points that younger, fully personalized media users may not?
   • Follow-up: Why is memory a warning rather than immunity?
7. A practical alternative: What is one small shared ritual a family, couple, team, or group of friends could choose?
   • Follow-up: How can people take turns choosing instead of searching forever for a perfect match?
8. A better AI assignment: How could AI help find overlap among different people rather than optimize one person’s feed?
   • Follow-up: What changes when the goal is conversation instead of engagement?
9. Retirement and common ground: Why might shared interests matter more when work, school schedules, and child-rearing no longer create automatic connection?
   • Follow-up: What could become “ours” in the next season of life?
10. Closing: What do you intentionally watch, read, hear, or do with another person, even when choosing only for yourself would be easier?

Title Options

1. When Everything Is Made for You, What Do We Still Share?
2. AI Can Personalize Everything—That Might Be the Problem
3. Your Perfect Feed May Be Making Life More Private

Thumbnail / Onscreen Text Options

• WHAT DO WE STILL SHARE?
• MADE FOR YOU. ONLY YOU.
• YOUR PERFECT FEED IS LONELY

Shorts / Reels Cutdowns

• “Together, technically” — The opening scene of several people in one room, each inside a different feed, ending with the difference between being together and being nearby.
• “Memory is not immunity” — Why Gen X remembers shared culture but is still vulnerable to scrolling, skipping, and expecting instant relevance.
• “Ask AI to find the overlap” — A practical alternative to personal recommendations: ask what three people with different tastes could enjoy and discuss together.

Viewer Question

What is one thing you still choose to watch, read, listen to, or do with other people on purpose?