ViralLoop

QvQ-72B-Preview🎄 an open weight model for visual reasoning just released by @Alibaba_Qwen 🎉 t.co ✨ Combines visual understanding & language reasoning. ✨ Scores 70.3 on MMMU ✨ Outperforms Qwen2-VL-72B-Instruct in complex problem-solving

259 likes6 repliesPosted Dec 24, 2024

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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

Leads with a specific number, which is concrete enough to be worth a second of attention.
Uses concrete numbers instead of vague claims, which makes it credible and quotable.
Uses short lines and white space, which makes a long post feel quick to read.
Follows a clear Hook → Context → Context → 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: Leads with a number
Structure: Hook → Context → Context → Landing
Style: Short lines with heavy white space, built to be scanned.
Tone: punchy
Mechanisms: Specificity
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

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