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![rohanpaul_ai Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::2588345408.png) Rohan Paul [@rohanpaul_ai](/creator/twitter/rohanpaul_ai) on x 73.9K followers
Created: 2025-07-14 13:54:00 UTC

KAT‑V1 tech report.

Its a 40B model that flips deep thinking on, only when the question truly needs it.

The team first teaches the model X habits, quick answers and step‑by‑step answers.

They do that by showing 10M solved examples and using multi token prediction so KAT sees how future words line up before guessing the next one.

After this warm up the model learns to judge each new question with a small yes‑or‑no gate.

A new training trick called Step SRPO rewards the gate for calling detailed reasoning only when the final answer passes built‑in tests.

Benchmarks show the same accuracy as much bigger models while cutting tokens by about 30%.

Real coding tasks inside Kuaishou confirm faster replies on easy tickets and careful analysis on tricky ones.

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Paper – arxiv. org/abs/2507.08297

Paper Title: "KAT-V1: Kwai-AutoThink Technical Report"

![](https://pbs.twimg.com/media/Gv0A1tLWwAAUZiW.png)

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[Post Link](https://x.com/rohanpaul_ai/status/1944757273521193430)