Simon Willison on AI

Simon Willison@simonw

DeepSeek released a whole family of inference-scaling / "reasoning" models today, including distilled variants based on Llama and Qwen Here are my notes on the new models, plus how I ran DeepSeek-R1-Distill-Llama-8B on my Mac using Ollama and LLM t.co

463 likes12 repliesPosted Jan 20, 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 → Landing shape, so the reader always knows where they are.
Ends on a short line that is easy to quote and repeat.
Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.
Quotes someone directly, which makes the moment concrete rather than summarised.

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.

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