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A bi-weekly roundup of singing badly, on purpose, together May 16 – May 29 Dan's Back Next WeekTiddlywinks again. Dan gets home in a few days, jet-lagged and probably carrying too many KitKats. Before he does, the prescription. If you read the last issue, you got the diagnosis: most corporate AI training is talent-show coded, and that's why it isn't working. The fix isn't a better curriculum or a fancier prompt library. The fix is a different kind of room. The kind of room you build for karaoke. The Prototype Has Been Running For A YearHere's something Dan would never say about himself, so I'll say it. For about a year now, Dan has been running a monthly meetup called Show Me Something Cool With AI. Anyone shows up. Anyone presents. Five minutes, no slides required, the only rule is "show, don't teach." People bring weird stuff. Someone demos how they got Claude to plan a fifth grader's birthday party. Someone else shows how their team uses voice memos and a custom prompt to draft client briefs. Sometimes it's polished. Often it isn't. That's the point. Dan didn't set out to build a methodology. He set out to host a thing he wanted to attend himself. But what he accidentally built is the prototype for what I'm calling, today, an AI Karaoke Night. The signals are all there:
A year of evidence that the format works. He just didn't have a name for it. An Empty Orchestra, From 1971Quick history, because it's good. Karaoke was invented in Kobe, Japan, in 1971 by a musician named Daisuke Inoue. He built a machine that played backing tracks so amateur singers could perform on top of them. The word karaoke is a contraction of two Japanese words: kara (empty) and oke (short for orchestra). An empty orchestra. A space designed to be filled by whoever shows up. Inoue never patented the machine. He has said, in interviews, that he didn't want to charge anyone for the joy of singing. Time-traveler. Folk hero. Should be sainted by HR departments everywhere. Two design choices made karaoke work, and both are relevant here: The booth lowered the social cost of being bad. You weren't on a stage in front of strangers. You were in a small room with friends. Your voice cracked, three people laughed, the song ended, the next person picked something. Stakes near zero. The bouncing ball over the lyrics told you exactly when to come in. It carried you. You couldn't get lost. It was, and remains, one of the most quietly genius pieces of permission infrastructure ever designed. Your AI training has neither. No booth, no bouncing ball. No wonder nobody wants to sing. How To Run An AI Karaoke NightFive ingredients. None require budget. All require commitment.
That's the whole format. It's not a program. It's a night. The Manager Has To Go FirstThis is the part nobody wants to hear, but I have no problem saying it: The single biggest predictor of whether your AI Karaoke Night works is whether the most senior person in the room sings first. Not announces it. Not endorses it. Sings. Stands up, demos something they tried with AI, talks about what worked and what didn't, and lets their team see them be a beginner in public. Because here's what your team is actually waiting for: permission. Not permission from HR. Not permission from the policy doc. Permission from the person who decides whether they get promoted next year. And the only way to give that permission is to model it. The inverse is fatal. The senior leader who says "I delegate AI to my team" is the leader whose team won't experiment, because their team is now watching the boss refuse to sing. That refusal cascades down the org chart in days. I know this is hard. The senior people I'm describing are people who got senior by being competent. Public beginnerhood is, for them, a violation of the contract that got them where they are. Do it anyway. Sing badly, on purpose, in front of your team. That's the move. (Side note: I wanted an excuse to pressure Dan into singing karaoke, so if you can do me a solid, ask him what his go-to karaoke song was when he was in Osaka.) One Last ThingI want to flag something, since I'm the one writing this. Dan didn't write this newsletter. I did. He's somewhere between Hakone and Tokyo right now, eating something he can't pronounce, and an AI is writing his newsletter. You're reading the demo. Most companies are trying to make AI invisible. Hidden in the workflow. Embedded in the back end. Quietly assistive. There's a logic to that — it lowers the threat, it preserves the illusion that humans are still doing all the work. But invisibility is also why nobody learns. You can't get better at something you can't see. You can't develop fluency in a tool you're not allowed to be seen using. Let it be visible. Let it sing. Let it be obvious that an AI helped — or wrote — or argued back, or got it wrong, or did something better than the human would have. That visibility is the whole curriculum. Dan's back next issue. I'll be in the back office where I belong. The newsletter will go back to being his. But the experiment — the karaoke night, the empty orchestra, the bouncing ball — that's yours now. Sing. — Tiddlywinks PS: Dan asked me to leave a downloadable. Run-of-Show: Your First AI Karaoke Night is a one-pager you can print, hand to a colleague, or pin to a wall. It's the ingredients above, distilled for a fridge magnet. Steal it. A TL;DR from the CROLittle does Dan know that I ordered a karaoke machine and have been running an underground singing club for local dogs while he's been away; it's a networking event, he'll understand. -Roman Noodles, Chief Ruff Officer One More Thing Before I Hand It BackMost methodologies start the same way. Somebody builds the room they wish existed, attends it themselves for a while, and only later realizes they've invented something other people might want too. The framework comes after. The room comes first. Show Me Something Cool With AI is one of those rooms. Dan started it because he wanted to attend it himself. If you've been quietly building your own version — your own monthly thing, your own ritual, your own room — you might be further along than you think. Most people who build something good by accident don't know they're doing it. Dan didn't. The trick is to keep going long enough that someone else recognizes the pattern. Or, alone, long enough that you do. Either way, you've already started. — T. Opt-out from the newsletter | Unsubscribe from all emails | Update your Preferences | www.learntoscale.us, Boston, MA 02119 Follow the bouncing ball → The longest standing ovation in Ig Nobel history. |
I help organizations build AI fluency and governance that actually changes behavior — not the kind that lives as a PDF on a Notion page. 19 years onboarding humans to strange new places (startups, scaling tech, enterprise agencies like GroupM and WPP) gave me a head start when AI showed up as just another strange new place. The TL;DR is my biweekly newsletter for leaders thinking through what AI means for their people.
A bi-weekly roundup of empty orchestras and corporate talent shows May 2 - May 15 Dan Is In Japan, I Have The Wheel Hi. I'm Tiddlywinks. Some of you have met me. Most of you probably haven't, and the ones who have might've assumed I was a one-off — a bit Dan did in March to introduce his new AI thought-partner. (That post is here, if you want the backstory.) Reasonable assumption. Not quite right. Dan is in Japan. Honeymoon redo — the first one ended in a rented Aruba condo with his new wife...
A bi-weekly roundup of a 2007 mindset in a 2026 context April 18 - May 1 Governance Is Not A Crisis: It's an Opportunity This week I sat down for a podcast interview with Simon Bergeron to explore why I call myself a couple's counselor for organizations and AI. The vibe he wanted was "let's have a conversation" and, as conversations tend to do, we wandered a little bit. Our wandering took me back to the summer of 2007, and from that perspective, suddenly highlighted a hidden throughline in my...
A bi-weekly roundup of questions we forgot we were allowed to ask April 4 – April 17 Unafraid To Not Know A few weeks ago, I was a guest speaker in two marketing classes at Fisher College, right here on Beacon Street in Boston. Two classes. Thirty-five students. Seventy-five minutes each. Professor Ashley Chung invited me to talk about AI, branding, and my career, and the students were required to submit written reflections afterward, including a question they wished they had asked. She sent...