Recently, while watching Sam Altman’s TED interview, I found myself (yet again) reflecting on the profound ways AI will reshape our world. From learning that OpenAI reportedly now has over 800 million weekly active users (for context, Instagram has over 2 billion MAU), to hearing the TED audience applaud when the interviewer pointed out how OpenAI regularly “steals” intellectual property to generate outputs, it’s clear we’re facing a paradox. On one hand, interacting with an LLM can feel genuinely wondrous, as if it knows us better than some of our friends or family. On the other hand, this moment highlights the urgent need for new social and economic frameworks that can responsibly manage this rapidly evolving paradigm of knowledge creation.
The question about how to trace value and credit in an AI-saturated world is exactly what led me to research Story Protocol.
As Altman himself noted, “People have been building on the creativity of others for a long time…but as the access to creativity becomes democratized and people are building off of each other’s ideas all the time, I think there are incredible new business models that we and others are excited to explore.” He then asked, more pointedly, “But how much inspiration can you take?” — from previous creations when you’re producing something new and calling it your own.
Rethinking IP in the Age of AI
It’s been just under a week since I published my deep dive on Story Protocol, but t
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