If you want to understand what happens to your personal data when a new technology spreads faster than society can adapt, look at the dawn of photography.
Photography existed for decades before it went mainstream. The technology was expensive, complicated, and required experts. Then in 1900, George Eastman introduced the Brownie camera for $1 (about $40 today) with a simple slogan: "You press the button, we do the rest."
Five years later, a third of households owned a camera. Suddenly anyone could capture anyone else's image, anywhere, anytime. At the beach. On the street. Through a window.
AI followed the same path. The technology existed for decades, expensive and expert-only. Then in November 2022, OpenAI introduced ChatGPT for free with a simple interface anyone could use. Two years later, hundreds of millions use it monthly.
Both technologies exploded into mass adoption before anyone established rules about personal data. There were no laws. No regulations. No rights.
We've seen this movie before. We know exactly how it ends. And this time, we don't have a century to figure it out.
The Original Data Harvest
Before the Brownie, having your image captured required sitting still in a portrait studio. You controlled when, where, and whether. After the Brownie, that control vanished. Anyone with a dollar could capture your likeness, compile it with others, and sell it to advertisers.
Newspapers warned readers to "beware the Kodak," calling the devices "deadly little boxes." They worried about voyeurs and peeping toms. But the real danger wasn't individual creeps with cameras. It was the emergence of an entire industry built on harvesting and selling images without consent.
Broadway actress Marion Manola became one of the first people to sue over an unauthorized photograph. In 1890, a photographer snapped her mid-performance in tights. Today that might seem tame. In 1890, it was the equivalent of pornography. The photographer sold the image without her consent.
Manola took him to court and won, barely. The judge ordered the photographer to stop selling the image. But the victory exposed a terrifying gap: there was no legal right protecting her. The courts had no framework for this. She won on a technicality, not a human right.
The Pattern Repeats
Every AI assistant you use is doing the same thing the Brownie did, but at a scale George Eastman couldn't have imagined.
When you chat with ChatGPT, Claude, or Gemini, you're not just asking questions. You're revealing your health anxieties, your relationship problems, your financial fears, your creative ambitions, your political leanings, your deepest curiosities. And it's not just your prompts. It's every document you upload for summary, every photo you ask it to analyze, every email you paste in for a reply, every spreadsheet you share for insights. Every interaction builds a profile far deeper than any photograph.
The Brownie captured your image. AI captures your mind.
You've probably heard of data brokers, the 4,000 companies that generate over $277 billion annually by harvesting and selling personal information scraped from public records and website cookies. AI labs make them look like amateurs. When you use ChatGPT or Claude, you're handing over your innermost thoughts, your private documents, your personal context. Have you read the terms of service? Of course not. And buried in those agreements are clauses that give these companies broad rights to use your data for training, analysis, and purposes you never imagined.
In 2024, humanity created 147 zettabytes of data. That's 147 trillion gigabytes. Much of it personal. Almost none of it protected.
The technology changes, but the pattern doesn't: a new tool emerges that captures something personal, it spreads faster than society can adapt, and the harvest begins before anyone has established rights.
Last Time We Were Too Slow
The camera crisis did get resolved. It just took a hundred years.
In 1890, two Boston lawyers named Samuel Warren and Louis Brandeis published "The Right to Privacy" in the Harvard Law Review. They argued that the law hadn't kept pace with technology, that people deserved legal protection from the "unauthorized circulation of portraits."
Their breakthrough wasn't about stopping photography. It was about establishing that you have rights over how your image is used commercially. Today, paparazzi can legally photograph celebrities in public. But companies can't use your face in advertisements without permission. Those rights took decades of lawsuits to establish.
In 1902, Abigail Roberson sued after a company used her face in advertisements without permission. She lost. New York's highest court ruled she had no legal right to her own image. It took a public outcry and an entirely new law to change that.
A century of lawsuits, legislation, and cultural evolution. That's what it took to establish that you have some say over commercial use of your own face.
We don't have a century this time. We need rights to our digital memories now.
The Dilemma
Earlier in this series, we wrote about Courtne Smith, Drake's personal assistant since childhood. She knows his preferences, his patterns, his priorities. Not because she read them in a file, but because she was there for decades. That deep context is why Drake can focus on creating music while she handles everything else. It's a $400 million advantage.
AI promises to give everyone a Courtne. An assistant that knows you well enough to help you do incredible things. That remembers your dietary restrictions, your travel preferences, your anniversary date, your mother's birthday, your career goals. That anticipates what you need before you ask.
But that requires data. Lots of it. The most personal data ever collected about you.
So here's the dilemma: The promise of AI is an assistant that knows you like a lifelong friend, helping you navigate your life, your health, your finances, your relationships. The peril is surveillance that harvests your most intimate thoughts and locks them in corporate vaults you'll never access, training models you'll never benefit from, building profiles you'll never see.
Same technology. Same data. The difference is who owns it.
The Solution
The camera crisis required two things: new rights and new tools.
Rights came from Warren and Brandeis's framework, the legal recognition that individuals have claims over commercial use of their own images. Tools came from the technologies that eventually gave people control: consent frameworks, licensing systems, and eventually, laws with teeth.
The AI era requires both again. That's why we're building two things.
The Open Memory Alliance is establishing Universal Digital Memory Rights, a framework that says you own your digital memory, you control who accesses it, and you can take it with you when you leave any platform. Not a privacy policy. A human right.
RaLHF is the tool that makes those rights real, a personal context vault where you gather your scattered digital life, own it completely, and decide which AI assistants get access to which parts.
You need both. Rights without tools are aspirational. Tools without rights are vulnerable. Together, they're how we avoid spending another century figuring out what should have been obvious.
The harvesting of your digital memory has already begun. The only question is whether you'll own what's collected, or whether someone else will.
This is Part 3 of our series: "The Personal Assistant Revolution: How AI Will Make Everyone Successful." (Read Part 1 & Part 2 here)