François Fleuret on AI

This being said, here is the TL;DR: On the model architecture side, @deepseek_ai v3/r1 is a standard GPT that is a "causal decoder only", hence an auto-regressive models made of causal attention blocks. It is huge, with 671 billion parameters. 1/6

834 likes7 repliesPosted Jan 24, 2025

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Why it worked

Opens with a short, self-contained line that is easy to take in at a glance.
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.
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 → Landing
Style: Conversational paragraphs at a steady pace.
Tone: punchy
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

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