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Shao Meng criticized the promotional approach for Kimi K3.1 Pro

1 reports1 story updatesUpdated Oct 25 10:41

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On October 25, 2026, Shao Meng published an article criticizing the promotional approach for Kimi K3.1 Pro. He pointed out that every part of the so-called "AI KOLs on X righteously exposing the truth" in this promotion was strange: the selected KOLs' follower and following counts were close to each other, their past content could not withstand scrutiny, and if KOL operations had really chosen him, "even an intern wouldn't be acceptable." He also criticized many small domestic AI teams for taking chances with X's "Paid Partnership" rules, arguing that a company at Kimi's level with its promotional budget should not act this way; for models aimed at AI developers, the best promotion is to get people using them, and they could borrow OpenRouter's old approach—piling on with spammy talking points will only turn into garbage. At present, this criticism appears only in Shao Meng's own article, with no other sources cross-verifying it.

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Kimi K3.1 Pro Promotion Criticized for Poor KOL Selection and Platform Rule Violations

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  1. Shao Meng criticizes the promotional approach for Kimi K3.1 Pro

    Source:Shao Meng

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Oct 25

  1. Shao Meng

    Kimi K3.1 Pro Promotion Criticized for Poor KOL Selection and Platform Rule Violations

    In the promotion of Kimi K3.1 Pro, the so-called "righteous exposé by an English-tweeting AI KOL" was called strange at every step: the chosen KOL's follower and following counts are nearly equal, and their past content doesn't hold up to scrutiny—if KOL operations really picked this person, "even an intern wouldn't do." The author also criticized many small domestic AI teams for gambling on X's "Paid Partnership" rules, saying that a company of Kimi's stature and with its promotional budget should not act this way; the best promotion for a model aimed at AI developers is to let people use it, and one could borrow OpenRouter's old approach—piling on with spammy talking points only turns into garbage.

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