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The mechanics

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Written for

Analysis by ViralLoop — not written by the original author.

Dylan Patel on AI · ViralLoop

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Post by Dylan Patel on X

Dylan Patel@dylan522p

Huawei's new AI server is insanely good People need to reset their priors This is why banning H20 without banning tools and sub components is idiotic because Huawei is not far behind H20. The admin needs to act fast to slow down Huawei's ramp or the H20 ban will be useless

1.4K likes100 repliesPosted Apr 16, 2025

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

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45

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.
Ends on a short line that is easy to quote and repeat.
The opening line stands alone, so it reads completely before the post is expanded.
Short enough to read in full without expanding, which removes a step before the point lands.

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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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

It’s patently absurd that Apple isn’t smart enough to make their own AI, yet is somehow capable of ensuring that OpenAI will protect your security & privacy! Apple has no clue what’s actually going on once they hand your data over to OpenAI. They’re selling you down the river.

More from Dylan Patel

OpenAI Jalapeno is spicy Usually first generation chips aren't competitive, but OpenAI is beating Nvidia Blackwell and even Rubin This is huge news! We got to go into OpenAI's lab to dissect their new chip and dive into the software, architecture, and performance Incredible work!

This is a public cry to not waste the silicon and have better AI infra Rivos, DSF, Grand Teton, Ariel and the cut-down MI450X were defensible on some narrow metric that a group inside Meta Infrastructure was optimizing for, but each was a poor decision for the company as a whole.

OpenAI now just needs to sandbag the next model release So the US doesn't export control them So they gain massive market share It's imperative that all the OAI employees don't vauge hype post their next model release as the greatest thing ever Don't know if they are capable tho

Debunking the false narratives around AI Datacenters. First it was that water usage is high, but it's not. This time it's about power prices. The narrative around powe pricing is silly and politically charged with no actually backing Manipulated statistics by people with agendas

Open models show 2.5x faster, 6x more expensive Lower batch size, speculative decoding harder Pareto optimal curve for Deepseek at t.co shows this Claude Opus 4.6 is 100 Tok/s/user Deepseek at 100 is 6k Tok/s/GPU At 250 tok/s/user it's closer to 1k

4% of GitHub public commits are being authored by Claude Code right now. At the current trajectory, we believe that Claude Code will be 20%+ of all daily commits by the end of 2026. While you blinked, AI consumed all of software development. Read more 👇 t.co