How an AI Music App Resurrected an Unfinished Love Story

 

Thousands of people all over the world are now listening to my “audience of one” homegrown songs via SoundCloud’s distribution.

New productivity technologies that enter the workforce often make their debut in the consumer world. If you’re an early adopter of tech innovations that promise to enhance your life or business, you naturally feel the pull to experiment.

That’s exactly what happened to me.

I began working with OpenAI’s ChatGPT to assist with my writing, having already used AI tools in various business ventures. When ChatGPT launched in the fall of 2022, it revolutionized the way I approached writing with generative AI.

I realized this powerful tool could enable me to explore forms of writing I had always dreamed of—screenwriting, songwriting, plays, you name it.

A few weeks ago, I started using the tool to experiment with writing songs. My initial attempts at songwriting were clumsy. I used the AI mainly to help with rhymes. Then, I stumbled upon Suno, the AI music startup.

Out of curiosity, I uploaded one of my young adult poems as lyrics to see what the platform could create. When Suno generated two versions of a song from my deeply personal love poem, I was stunned—completely. It was the first time AI left me speechless.

So, how does this tie into Sequoia’s David Cahn’s $200B question, “How is it going to change people’s lives?” For me, the answer hit home– hard. I kept describing my experimentation with Suno like I was stepping into a Time Machine—an innocent venture that soon turned into an emotional rollercoaster. The songs Suno created brought those long-buried, intense feelings back to life, in vivid color, as if I were transported back to my days as a young NYC ad exec, head over heels for an indie Boston bass player.

Within a week from when I started, I learned how to edit the songs when Suno went off the rails, and then uploaded the MP3 files to my Apple Music, Spotify, and eventually SoundCloud accounts. I shared those songs with my former flame, because, of course, I never quite let go.

We started communicating again and he told me (gulp) he’s getting divorced next month. In response, I wrote him a 2024 song titled, “921 Miles”—the exact distance between where he is now and where I am in Austin, TX.

So, how is AI going to change people’s lives? It could be as mundane as a fax machine in the ’90s, or it could become the answer to a lifelong unrequited love.

Now, try measuring that ROI. 

Land Sakes Alive! AI is Coming… Hard

AI is unlike technology advances that have come before.

Yep. Sounding the alarms.

Like most tech professionals my age, we lived through every remarkable step-change and wonderful advancement in tech over many decades. I literally learned computer programming on keypunch card decks we had to feed to the County mainframe overnight. (Fortran IV, thank you.)  As a side note, I was one of the only female students in my high school class to take the inaugural class in “computer programming.” That was 1977. It was a milestone in our high school’s history.

From there, I lived through the IBM-dominated mainframe computing era to the client/server revolution, to the more disruptive PC revolution.  Tech advances continued to the shift to mobile, SaaS, and both Internet revs 1.0 and 2.0. Everyone my age in tech lived through these transitions.

Although these shifts always move chess pieces on the game board, they were not viewed as dangerous or lethal. They simply realigned roles and positions. People employed in old skills, retooled and learned new skills.

But, dear friend of the ITSinsider blog, I’m telling you…as a friend, AI is different. It’s not the same as what’s come before.

This blog has been always been subtitled, “What’s Next in Tech.” I stopped writing here a few years ago. I’m rethinking that decision now with the pace and scale of AI advancements.

According to the research firm, CBInsights, there are 117 AI startups right here in Austin in various stages of growth. Yesterday’s “duty to warn” letter from leading tech, political, and academic luminaries probably won’t stop progress, but it shot an important red flare distress signal out to the world.

I’ve been checking in with friends around the techosphere, to take their temperature on how AI is sitting with them.

Yesterday, for instance, I caught up with my old  friend, colleague, and thought leader on Future of Work, Dion Hinchcliffe.  I’ve always known Dion to be a techno-optimist like I am. Dion has been experimenting with GPT-4 on his own and has been unsettled with the results.  “I tested it using knowledge it can’t possibly know, and it does what I asked.” he said. “I will say to myself, ‘It will never pass this [test],’ and it does– in a couple of seconds.”

He told me there’s no putting AI back in the can. He shared that he’s most concerned about the Python runtime AI that is fully firewalled. The AI can not only write the code to answer questions, but it can execute that code as well. The fact that the AI can reason with fully working knowledge of a subject is what’s most alarming, he said.

Net, net

The era of AI is upon us. As someone who’s been openly optimistic about using technology to improve life on the planet, this has my full attention. I will be checking in with more friends around the globe, and looking into some of the companies making moves in this space. Feel free to tell me your thoughts here or on social channels where we are connected.