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Sebastian Raschka on AI · ViralLoop

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Post by Sebastian Raschka on X

Sebastian Raschka@rasbt

Interesting surprise drop from Thinky! The Inkling model looks pretty solid on benchmarks, and it has some little surprises in its architecture: - Small conv layers in several places - An RMSNorm for the embeddings (before the block RMSNorm) - Rel. position bias instead of RoPE

1.3K likes34 repliesPosted Jul 15, 2026

View the original on X Written by Sebastian Raschka. Captured Sep 4, 2026.

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47

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

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 → List
Style: Listed out, so each point can be lifted on its own.
Tone: energetic, punchy
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

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More from Sebastian Raschka

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Ok, so what Ilya saw was extreme benchmaxxing, which in turn prompted him to create his own company to do LLM development the proper way?! Makes sense, I sympathize with that.

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An updated back-of-the-envelope calculation of LLM pretraining costs based on the just-released DeepSeek-v3 report. And that doesn't even account for hyperparameter tuning, failed runs, or personnel costs. It really makes me appreciate the value of openly shared model weights!