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Perhaps Elon has heard of K-Means Clustering, and you haven't... "Solving" content moderation is a losing battle -- there is no way to humanly moderate anythin

Perhaps Elon has heard of K-Means Clustering, and you haven't... "Solving" content moderation is a losing battle -- there is no way to humanly moderate anything at the rate it can be produced, and Elon knows this. It's insane, so he probably won't do it. But, allowing content to be produced, but making sure no real person ever sees it, until the content producer earns their way into "your" group -- now that can be automated. Elon has access to Exascale hardware, so K-means Clusters with arbitrarily large dimensionality is at his disposal. Ya figure he might not have thought this through?

labrador 4y ago
Oh sure, we can talk about Voronoi cells all day, but the Weber problem indicates an increasing number of k-medians and and a decreasing number of k-medoids. Anyone with the slightest familiarity with the Rocchio algorithm knows that.
- pjkundert 4y ago
  So, if you know that Fermat-Weber had fast approximation solutions (O(logn)) published by 2003 (Bose, Mahashwari & Morin), and Rocchio "training" is linear O(|D| + |C|) (where D is the Document set (tweets) and C is the Class set (agents)), why wouldn't Elon maybe be able to use his existing automatic "Labelling" AI workflow to implement something like Rocchio and/or Fermat-Weber? I didn't meant to be rude; but, you claiming "I've seen no evidence of that" also seemed rude. Sorry for responding "in kind", and not assuming the best. But, seriously; I immediately thought "Wow, I've seen evidence of that", straight from Elon's latest "AI Day" presentation... My theory on "why" so many smart Google / Meta / Twitter / ... people have not implemented K-Means Clustering? Because it gives power back to the Agents in the system -- they can't shove their pre-selected content in your face to drive Ad clicks. I think Elon doesn't care so much about that. Or, sees how giving back authority to the agents will eventually attract orders of magnitude more agents / interaction into the system, offsetting the per-agent reduction in Ad revenue. EDIT: Sorry, O(nlogn) deterministic or O(n) time-random approximations for Fermat-Weber.

labrador 4y ago

Oh sure, we can talk about Voronoi cells all day, but the Weber problem indicates an increasing number of k-medians and and a decreasing number of k-medoids. Anyone with the slightest familiarity with the Rocchio algorithm knows that.

pjkundert 4y ago
So, if you know that Fermat-Weber had fast approximation solutions (O(logn)) published by 2003 (Bose, Mahashwari & Morin), and Rocchio "training" is linear O(|D| + |C|) (where D is the Document set (tweets) and C is the Class set (agents)), why wouldn't Elon maybe be able to use his existing automatic "Labelling" AI workflow to implement something like Rocchio and/or Fermat-Weber? I didn't meant to be rude; but, you claiming "I've seen no evidence of that" also seemed rude. Sorry for responding "in kind", and not assuming the best. But, seriously; I immediately thought "Wow, I've seen evidence of that", straight from Elon's latest "AI Day" presentation... My theory on "why" so many smart Google / Meta / Twitter / ... people have not implemented K-Means Clustering? Because it gives power back to the Agents in the system -- they can't shove their pre-selected content in your face to drive Ad clicks. I think Elon doesn't care so much about that. Or, sees how giving back authority to the agents will eventually attract orders of magnitude more agents / interaction into the system, offsetting the per-agent reduction in Ad revenue. EDIT: Sorry, O(nlogn) deterministic or O(n) time-random approximations for Fermat-Weber.