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Why it worked

The mechanics

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Style
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Written for

Analysis by ViralLoop — not written by the original author.

Yuchen Jin on AI · ViralLoop

Post by Yuchen Jin on X

Yuchen Jin@Yuchenj_UW

Wow, GLM-5.1 beat Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on SWE-Bench Pro (58.4 vs 57.3 / 57.7 / 54.2) as an open-weight MIT-licensed model! The “open-source AI vs closed-source AI” gap is still ~6 months.

1.4K likes65 repliesPosted Apr 7, 2026

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

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48

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

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.
Quotes someone directly, which makes the moment concrete rather than summarised.

The mechanics

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

Analysis by ViralLoop — not written by the original author.

Topics

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For those confused why the US state and Silicon Valley are having a meltdown on twitter today. China released multiple AI models that are 50x more efficient than the best American AI models and made them open source, ruining the AI market

Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI. AI/robotics will produce goods & services far in excess of the increase in the money supply, so there will not be inflation.

I am very excited about AI, but to go off-script for a minute: I built an app with Codex last week. It was very fun. Then I started asking it for ideas for new features and at least a couple of them were better than I was thinking of. I felt a little useless and it was sad.

Hi! I'm one of the prompt writers that worked on this ad. It's a lot harder than people think! Prompts that my team used include: -make it funny -make it epic AND funny -funnier!!! Please be nice to my team as many of them will be laid off/replaced by AI

More from Yuchen Jin

Even if most AI labs are benchmark-maxxing now, Fable 5.1 still looks like an insane jump. From Anthropic’s blog: - Found a 1-in-a-million crash Millennium’s team couldn’t explain for 4–5 years - 2x faster than Opus 5 while using half the tokens Big if true.

Qwen3.8-Max is going open-weight next week. It marks the first time Qwen will open-source the weights of a Qwen-Max-class model. The second >2T open-weight model after Kimi K3, the benchmark results look amazing, hopefully it's MIT license. Let's go oss LLMs!

Great to see Zuck tweeting more, and Jensen Huang recently joined X too! Both are advocating for an open AI ecosystem. Giving everyone access to powerful AI will create far more value than concentrating that power in the hands of a few.

Kimi K3 weights are open now. It is the largest open-weight model so far (2.8T parameters). It's only slightly behind Claude Fable 5 Max and GPT-5.6 Sol Max. Pretty excited about this model, and again, a Muon victory!

Meituan, basically China’s DoorDash, trained a 1.6T parameter LLM on 50K Chinese chips. It reminds me of Jensen Huang’s point on the Dwarkesh podcast: export controls on Nvidia GPUs won’t stop China. They’ll just accelerate the development of AI that runs on Chinese chips.

GPT-5.6 is finally coming. GPT-5.6 Sol beats Claude Mythos 5 on TerminalBench. And on Cerebras, GPT-5.6 Sol can reach up to 750 tokens per second. Pretty fast for a model of this size. Now I just hope it can be rolled out to everyone.