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Post by Yuchen Jin on X

Yuchen Jin@Yuchenj_UW

Wow, so it's basically an acqui-hire. Nvidia just picked up Groq’s co-founders, including Jonathan, the co-creator of Google TPUs. Similar to the Meta <-> Scale AI (Alexander Wang) and Google <-> Windsurf deals.

190 likes12 repliesPosted Dec 24, 2025

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

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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.
Short sentences keep the pace up, so the reader never has to re-read a line.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: plain, matter-of-fact
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

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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.

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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.

Yuchen Jin on AI · ViralLoop