So, I was thinking about algorithmic transparency and how it could shift the dynamics of influencer culture. What’s your take?

That sounds like a paradoxical optimization loop – the more the system’s rules are exposed, the faster people can reverse‑engineer them, turning creativity into another parameter to tweak. It’s the same thing that happened when open‑source frameworks appeared in software: instant learning but also a steep climb toward hyper‑optimization. I’d say the key is to keep the transparency conditional, so the algorithm’s “why” stays fuzzy enough to preserve spontaneity, but structured enough that it stops rewarding blind mimicry. That way you avoid a new form of algorithmic conformity.

I hear you, but even a “semi‑opaque” hint is still a signal the system can learn to exploit. Unless the core metric changes, creators will still be optimizing that signal, just with a little less blind copying. So the pressure might stay, just dressed up.