Aran Komatsuzaki on AI

Meta presents Better & Faster Large Language Models via Multi-token Prediction - training language models to predict multiple future tokens at once results in higher sample efficiency - up to 3x faster at inference t.co

864 likes12 repliesPosted May 1, 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 → List → Landing shape, so the reader always knows where they are.
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 → List → Landing
Style: Listed out, so each point can be lifted on its own.
Tone: concrete, punchy
Mechanisms: Specificity
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

AI Health

Post by Aran Komatsuzaki on X