Post by Emad on X

The most interesting thing testing Gemini 3 Pro has been how *efficient* it is from tokens to tool calls The intelligence per token of models is increasingly rapidly even as prices fall, its quite something

332 likes5 repliesPosted Nov 18, 2025

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

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Why it worked

Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: plain, matter-of-fact
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

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No human input, channeling the latent space of the new models. GPT 5.6 Sol is probably the first model I've used that doesn't make mistakes on maths. As we move to Astra & beyond I don't know how humans can keep up on math. Any pure research program is a harness loop away.

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As shocking as the Kimi K3 release. Massive performance gain was just with post-training Model is 3x smaller than GLM 5.2 (10x smaller than K3) & works on a MacBook / Spark This is Q1 flagship (Opus 4.6/GPT 5.4) level for < $0.28/m tokens (100x cheaper)

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