Alexia Jolicoeur-Martineau on AI

Alexia Jolicoeur-Martineau@jm_alexia

New paper 📜: Tiny Recursion Model (TRM) is a recursive reasoning approach with a tiny 7M parameters neural network that obtains 45% on ARC-AGI-1 and 8% on ARC-AGI-2, beating most LLMs. Blog: t.co Code: t.co Paper: t.co

4.2K likes151 repliesPosted Oct 7, 2025

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Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

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Why it worked

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

Analysis by ViralLoop — not written by the original author.

Topics

AI Engineering

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