They scale by increasing the perceived value of their participation. Their work is expensive not because it takes longer, but because it carries the weight of curiosity, curation, and judgment.
it’s no longer products, but humans who are into the status signalling business
We see curiosity theater all around.
Audience members asking questions at panels that are actually mini-speeches. People at dinner name-dropping obscure books in conversation but never engaging with their core arguments. Folks on social media starting ‘learning projects’ and abandoning them after a week.
In this environment, social and economic signaling converge: individuals and organizations who are recognized for reliable curiosity, trusted curation, and sound judgment accrue disproportionate attention, trust, and capital, further amplifying their economic position.
Even as AI gets better, there are certain kinds of knowledge it still struggles to capture, and may for a long time. Never say never, though. Tacit knowledge - the things you just know without being able to explain - was considered beyond the realm of technology, yet, LLMs approximate many forms of tacit knowledge, which even 7 years back would... See more
Context is often misunderstood as ‘local knowledge’. ‘Local knowledge’ is not really an advantage. It’s just a data arbitrage. You’ve better than AI only because it doesn’t yet have the data you’re working with.
Context is more about interpretation. The ability to create meaning in a certain context by understanding the context and applying the... See more
Unlike knowledge and content, curiosity doesn’t scale easily and cannot be commoditized. You could copy prompts but you can’t easily teach someone how to frame the right path of inquiry.