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Chomba Bupe on AI · ViralLoop

Post by Chomba Bupe on X

Chomba Bupe@ChombaBupe

OpenAI: Our models are trained not to replicate existing works, they learn to extract patterns, linguistic structures & contextual insights from existing works. Literally the purpose of generative models is to statistically mimic the system that generated the training data.

270 likes22 repliesPosted Mar 13, 2025

View the original on X Written by Chomba Bupe. Captured Sep 4, 2026.

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32

Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.
Opens on a negative, which reads as a warning and is harder to ignore than a claim.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: corporate
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

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More from Chomba Bupe

If companies can freely scrape others work that later, a chatbot can claim to be its own, then there is no point putting out quality work. Which in turn means less training data for future models. This is a "shortsighted" victory with cascading consequences.

What happened to the Metaverse? "The metaverse was initially expected to change the way we access the internet and, by extension, the world. But, by 2024, the metaverse bubble seems to have burst." Based on the trend what do we expect will happen to generative AI?