ViralLoop

Amazing numbers. Phi-3 is topping GPT-3.5 on MMLU at 14B. Trained on 3.3 trillion tokens. They say in the paper 'The innovation lies entirely in our dataset for training - composed of heavily filtered web data and synthetic data.'

177 likes10 repliesPosted Apr 23, 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

Opens with a short, self-contained line that is easy to take in at a glance.
Uses concrete numbers instead of vague claims, which makes it credible and quotable.
Follows a clear Hook → Context → Context → Landing shape, so the reader always knows where they are.
The opening line stands alone, so it reads completely before the post is expanded.
Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

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

Analysis by ViralLoop — not written by the original author.

Topics

AI Health

Post by Andrew Curran on X