Matthew Leavitt on AI

Two things I'm particularly proud of here: 1. The pretraining data are derived entirely from publicly-available tokens. 2. No closed-source models were used in any part of the pretraining data curation pipeline.

393 likes14 repliesPosted Apr 2, 2026

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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.
Follows a clear Hook → List → List 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.
Short sentences keep the pace up, so the reader never has to re-read a line.

The mechanics

Hook: Plain observation
Structure: Hook → List → List
Style: Listed out, so each point can be lifted on its own.
Tone: personal, punchy
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

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