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Why it worked

The mechanics

Hook
Style
Tone
Written for

Analysis by ViralLoop — not written by the original author.

nxthompson on Health · ViralLoop

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nxthompson@nxthompson

The anger over Deepseek training on ChatGPT's outputs, in violation of TOS, is justified. But it might perhaps also make the AI companies think about the training they did on copyrighted content without consent. t.co

596 likes70 repliesPosted Jan 22, 2025

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

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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

Opens with a short, self-contained line that is easy to take in at a glance.
Follows a clear Hook → Turn → Landing shape, so the reader always knows where they are.
Ends on a short line that is easy to quote and repeat.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

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

Analysis by ViralLoop — not written by the original author.

Topics

Posts built the same way

one dozen rats at a keyboard

It’s embarrassing but the Jimmy Kimmel debacle actually is important. It was the first real attempt by the Project 2025 movement to flex their muscle against someone who wasn’t a nameless, defenseless nobody and it catastrophically flopped in less than a week.

So much cope about DeepSeek. Not only did they release a great model. they also released a breakthrough training method (R1 Zero) that’s already reproducing. I doubt they lied about training costs, but even if they did they’re still awesome for this great gift to the world.

Horse Nomad (Chicago-style) ⚔️

Famously, human learning takes *very little* energy. A toddler learns thousands of words and an entire grammar while eating nothing but raspberries, before learning to read. An LLM needs a nuclear reactor and the entire internet as a training corpus.

First recovery in the ByBit hack. ~$43m (15,000 cmETH) has been clawed back from the hacker. I saw the recovery possibility soon after the hack and SEAL connected me with Mantle/mETH team who made it happen. Huge shoutout to SEAL, Mantle, and mETH teams for their quick action.

As shocking as the Kimi K3 release. Massive performance gain was just with post-training Model is 3x smaller than GLM 5.2 (10x smaller than K3) & works on a MacBook / Spark This is Q1 flagship (Opus 4.6/GPT 5.4) level for < $0.28/m tokens (100x cheaper)

Together with SpaceXAI, we’re training a significantly larger model from scratch, using 10x more total compute. With Colossus 2’s million H100-equivalents and our combined data and training techniques, we expect this to be a major leap in model capability.

More from nxthompson

The fight between Anthropic and Pentagon over mass surveillance matters more than most people think. 1) the data we share with AI models is insanely personal 2) the ability of AI models to de-anonymize, and find patterns across platforms, is profound. t.co

Old Claude: We broke trying to run a vending machine. New Claude: We captured Maduro and assassinated all his Cuban guards with no casualties. Would you like me to transition the government to democracy or leave it as is? t.co