Mohammed AlQuraishi on Product

ESM3 is out from EvolutionaryScale! 98B params (~GPT3 scale). Multimodal over sequence, structure, and function with cool design applications. Trained on variable masking ratios and decodes proteins iteratively. Some work on alignment too. Looks exciting! t.co

288 likes4 repliesPosted Jun 25, 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.
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 → Context → Context → Landing
Style: Conversational paragraphs at a steady pace.
Tone: energetic
Mechanisms: Specificity
Written for: Product teams

Analysis by ViralLoop — not written by the original author.

Topics

Product

Post by Mohammed AlQuraishi on X