Alexia Jolicoeur-Martineau on AI

Alexia Jolicoeur-Martineau@jm_alexia

Claim from the abstract: "106B-parameter MoE (12B active) trained with large-scale reinforcement learning on our end-to-end RL infrastructure stack." I expected all RL from scratch. Reality: Already existing base model + SFT + RL 😿

189 likes13 repliesPosted Nov 27, 2025

Remix this post

Your note

Private to you, and used when you remix this post.

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 → 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.
Written from experience rather than as advice, which is harder to argue with.

The mechanics

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

Analysis by ViralLoop — not written by the original author.

Post by Alexia Jolicoeur-Martineau on X