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The New Chinese AI is a Scam For English Users (And 3 Reasons to Panic)

Meet The “Chinese ChatGPT” that claims to handle 200,000 characters

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Hellowww Guyss.!

Are you sick of AI tools that promise the world but can’t handle a 10-page doc?

Meet Kimi.ai, the “Chinese ChatGPT” that claims to process 200,000 characters - while your GPT-4o subscription rots.
But here’s the truth: If you speak English, this tool is useless. Why?

Let’s dive into the lies, cash grabs, and cultural cringe.

Today’s Lineup:

  • Introduction: The Long-Text Scam

  • The Solution: Kimi.ai’s “Revolutionary” Long-Text Lie

  • Key Features: Lies, Damn Lies, and Marketing

  • Comparison Table: Kimi.ai vs. Competitors (aka “Why You’re Being Screwed”)

  • Why English Users Should Avoid Kimi.ai

  • Pricing: A Cheap Scam (or a Clever Trap?)

  • Final Verdict: Run for the Hills

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The Revolutionary Solution

(Click to visit→) Kimi.ai’s pitch? “Handle entire novels in one go! No more token limits!”
Sounds cool…! Until you realize it’s only for Chinese.

English users? You’re getting a half-baked beta version. Here’s the kicker:

  • Chinese Focus: Kimi’s “long-text mastery” works great for Chinese novels… but English? It’s garbage.

  • Founder’s Cash-Out: CEO Zhilin Yang raised $400 million in a funding round—before the product even launched. Translation: He’s milking investors, not building a tool.

Controversy Alert: Is Kimi.ai a scam, or just another “China-first” tool that hates your language?

Key Features:

Lies, Damn Lies and Marketing
  • Long-Text Supremacy: Works for Chinese… but English? It’s a joke.

  • Affordable Pricing: At $0.02 per token, it’s cheap—until you realize it’s useless for English.

  • Technical Prowess: They claim “no Monte Carlo trees”… but who cares? It’s still trash for non-Chinese tasks.

Red Flags (AKA Red Alerts):
  • English Support: “Decent” is code for “barely works.” Don’t expect it to write your thesis.

  • Founder’s Exit Plan: Yang’s cash-out screams “get rich quick scheme.” Investors are panicking.

  • Scalability Meltdown: The tool crashed in April 2024—because 10,000 people tried to use it.

Comparison with Open AI and Google

Tool

English Quality

Chinese Quality

Founder Trust

Scalability

Kimi.ai

Trash

5/5

$400M Cash-Out

Crashes Often

ChatGPT

5/5

3/5

Stable (for now)

Reliable

Google Gemini

4/5

N/A

Google’s Deep Pockets

Limited Access

Why English Users Should Burn Kimi.ai
  1. Language Bias: Kimi’s “English mode” is a slap in the face. It’s like ordering sushi and getting a PB&J sandwich.

  2. Founder’s Greed: Yang’s $400M cash-out is a middle finger to users. Why invest in a tool whose CEO doesn’t?

  3. Chinese Tool Paranoia: Let’s be real - Chinese AI tools are spying on you (or so your paranoid uncle says). Data privacy? Good luck.

  4. Scalability Fail: Kimi crashes harder than a TikToker’s mental health. Don’t trust it with your PhD.

Bonus Drama: Kimi’s “long-text” feature is useless for English. It’s like buying a Ferrari that only drives on dirt roads.

 Pricing(A Cleaver Trap)

Kimi’s pricing is dirt cheap… but here’s the twist:

  • English Users: You’ll pay $0.02 per token for garbage results. It’s like paying for a Rolex and getting a Timex.

  • Hidden Costs: Long prompts add up fast. A 50,000-word novel? That’s $100—for a tool that’s 80% useless.

Pro Tip: Use Kimi ONLY if you’re fluent in Mandarin. Otherwise, you’re paying to be insulted.

My Pov:

Pros (If You’re Chinese):

  • Long-text mastery.

  • Cheap for Chinese tasks.

Cons (For Everyone Else):

  • English support is a joke.

  • Founder’s cash-out screams “scam.”

  • Crashes more than a Windows 98 PC.

Our Take: Kimi.ai is a Chinese-only tool disguised as a global solution. If you speak English, avoid it like a TikToker avoids real work.

Stick with ChatGPT or Gemini - At least they pretend to care. 🫡

Wrap Up!

AI isn’t just the future—it’s the present. But whether it becomes a tool for good or a ticking time bomb depends on how we use it today.

Will we control AI, or will it control us?

Until next time,
Cheers,
Team AI Case Study

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