Shadowing Practice: China just dropped a new frontier model... and nobody can explain how - Learn English Speaking with Video

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Last week, an anonymous mystery model named Kibitz showed up randomly on Chatbot Arena, performing at the frontier level.

Kibitz is the Yiddish word for that guy standing behind you at a chess game, giving you tips on how to blunder your queen,

which to be honest is the perfect analogy for a coding agent.

But it was pretty obvious who was behind this mystery model from the beginning, because the first two letters of this word are a dead giveaway.

Everybody knew it was Kimmy, then right on cue last Friday, Moonshot dropped Kimmy K3 .1,

officially giving us a new 3 trillion parameter open weight model that will be fully downloadable on November 4th, or so they say.

And just when you thought the AI bubble was popping and the Trust Me Bro benchmarks could not possibly get any better, Kimmy made them better.

I can go lower.

In today's video, we'll find out why Kimmy K3 .1's performance should be impossible, and put it to the test on the only benchmark that matters,

building 3D horses with 3JS.

It is October 26, 2026, and you're watching the Code Report.

Earlier this year, Anthropic accused Moonshot AI, the company behind Kimi, alongside a bunch of other Chinese companies like DeepSeek and Minimax,

of running large -scale distillation attacks against Claude by sending swarms of fake users to steal Claude's output and reasoning tokens,

which could then be used to train these open models that they give to us for free.

Now, I believe distillation is a fundamental human right

because big AI companies have literally distilled the collective human brain by taking our internet weblogs, our githubs, our scientific papers,

and they even destructively scanned our books without asking.

Just google Project Panama.

But OpenAI and Anthropic don't really see distillation as a human right like I do.

To them, it's

Grand Theft Autocomplete, and they've invested millions and millions of dollars into stopping it.

And just a few weeks ago, Anthropic said it pretty much solved the distillation problem,

with 90 to 99 % of distillation attacks from China now being blocked.

And over at OpenAI, they've proved that their tech can even stop small -scale distilleries like PewDiePie.

But if that's true, that means an open Chinese model with Kimi's performance should not be possible,

because for years, Big AI has insinuated that the reason Chinese models get so good so fast is that they steal

Big AI's output.

But if we can trust this

Trust Me Bro distillation data from Anthropic, that would mean that these

Trust Me Bro benchmarks from Kimi should not be possible.

Like Kimi K3 .1 is within one point of Opus 5 .5 on Terminal Bench 4 .0.

That's pretty crazy, and no other open model is remotely close.

And we might even be able to actually trust these numbers because artificial analysis ran it independently and got 67%,

which is the highest score of any model they tested.

But one thing to keep in mind is that the harness plays a big role here.

Running different models with different harnesses will produce huge differences in benchmark results.

In addition, Kimmy also wins on SWE Marathon, which is a test for multi -hour software requirements,

or in other words, jobs that would take humans weeks of work to finish without AI assistance.

That's all pretty impressive, but there is one big caveat when it comes to coding, and specifically cybersecurity.

Moonshot deliberately ripped out a bunch of cybersecurity data from its training dataset,

where the goal was to make the model even worse at hacking than pirate software.

I'm a genius, dude.

And it worked, because internally at Moonshot, an unfiltered checkpoint solved 90 .5 % of their illegal exploit tests,

but the final release model only solves 81%, and that's a smart business move on their part, because just a few days ago, the US banned

China's DeepSeq model from government use, including all federal civilian agencies,

and they would just love a good reason to ban all Chinese models across the board, to hand OpenAI and Anthropic a huge win,

and make all the insiders even more unbelievably rich than they already are.

And that's why Moonshot really has no choice but to lobotomize its hacking capabilities.

But despite that, Kimmy still performed on top of all publicly available models on the new cyber index at Artificial Analysis,

although that's mostly because Claude and GPT -6 declined every prompt on safety grounds and just took the L.

But nowadays, the only AI capability that I really care about is how well it can generate a 3D horse with 3JS.

And to analyze the skill objectively and scientifically, I use a formal benchmark.

It's a state -of -the -art eval I've developed after thousands of hours of research, which I call Thoroughbench.

The way it works is I literally just go into the chat window

and type create a realistic interactive 3D horse with 3JS and then press enter.

From there, I rank them from 0 to 10 based on a proprietary loss function I keep in my brain.

Using this technique, Google Argon achieved a 0 .69, GPT -6 Astra achieved a 5 .21, and Opus achieved a 6 .39.

But now it's time to try Kimi K 3 .1.

I tried to be cheap and use the free tier,

but got denied, so now I'm paying 250 yuan per month to show you guys this demo.

It was worth it though, because Kimi produced what is easily the most beautiful horse in this sample.

Its coloring is spot on, it looks realistic, and most importantly, its copulatory organ is a reasonable size.

I was blown away by its beauty at first glance, but then I pushed play on the animation and found a problem.

The animations are absolutely terrible.

If we look closely, you can see it achieves the animation by simply warping the original mesh

which is a very unsophisticated and half -assed way to animate a 3D object.

If we compare that to Claude, the horse itself may not look as beautiful,

but it actually built a mesh with 95 ,000 vertices with each shape tied to one of 35 bones, and all those bones are animated independently.

Even Gemini Argon used bones, but for some reason it added an extra one.

Skeletal animation is more difficult, but it's why the horse doesn't look like it's being torn apart by a black hole when it walks.

So the final score for KimiK 3 .1 on Thoroughbench is a 4 .20, which is pretty dang impressive, but still behind the other Frontier models.

But if you really want to build an amazing 3D horse or user interface, you need to check out Mobbin, the sponsor of today's video.

I've been using Mobbin for over five years,

and its MCP server now lets your coding agent study its library of 600 ,000 real UI screens before it designs anything.

So instead of asking for a login page and getting the same purple gradient vibe slop, you start by telling ClaudeCode,

Cursor, or Codex to study how the best apps built that complete user flow.

It'll use Mobbin to gather references and build a visual report of the patterns they all share.

Then it'll recreate that flow and adapt it to your app.

Every result points back to the original screen, so you can check the source, and after you connect Mobbin,

everything your agent designs will feel like it has actual taste.

But try Mobbin for free today and get a 20 % discount at the link below.

This has been The Code Report, thanks for watching, and I will see you in the next one.

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Vocabulary and speaking notes for this lesson

This speaking lesson is built on the video “China just dropped a new frontier model... and nobody can explain how”. The speaker keeps coming back to these words: model, horse, distillation, Kimmy, Anthropic. This video has 82 sentences and 1258 words to shadow. The speech runs for 6:21. The speaker talks fast, about 198 words per minute, so expect linked and reduced sounds. Only 76% of the words are among the 3,000 most common in English, so the vocabulary is demanding.

Key vocabulary in this video

15 words from the video worth learning, with pronunciation and meaning:

Word	Pronunciation	Meaning
benchmark noun	/ˈbɛn(t)ʃmɑːk/	A standard by which something is evaluated or measured.
animation noun	/ˌæn.ɪˈmeɪ.ʃən/	The act of animating, or giving life or spirit.
bone noun	/boʊn/	A composite material consisting largely of calcium phosphate and collagen and making up the skeleton of most vertebrates.
solve verb	/sɒlv/	To find an answer or solution to a problem or question; to work out.
impressive adjective	/ɪmˈpɹɛsɪv/	Making, or tending to make, a positive impression; having power to impress.
mystery noun	/ˈmɪs.t(ə.)ɹi/	Something secret or unexplainable; an unknown.
output noun	/ˈaʊtpʊt/	Production; quantity produced, created, or completed.
steal verb	/stiːl/	To take illegally, or without the owner's permission, something owned by someone else without intending to return it.
artificial adjective	/ˌɑː.tɪˈfɪʃ.əl/	Man-made; made by humans; of artifice.
realistic adjective	/ˌɹɪəˈlɪs.tɪk/	Expressed or represented as being accurate, practicable, or not idealistic.
capability noun	/ˌkeɪ.pəˈbɪl.ɪ.ti/	The power or ability to generate an outcome.
independently adverb	/ˌɪndɪˈpɛndəntli/	In an independent manner.
frontier noun	/ˈfɹʌntɪə/	The part of a country which borders or faces another country or unsettled region.
mesh noun	/mɛʃ/	A structure made of connected strands of metal, fiber, or other flexible/ductile material, with evenly spaced openings between them.
harness verb	/ˈhɑɹ.nəs/	To place a harness on something; to tie up or restrain.

Phrasal verbs you will hear

Word	Pronunciation	Meaning
blow away verb		To cause to go away by blowing, or by wind.
check out verb		To record the departure or withdrawal of someone or something (such as guests, employees, books, etc.).
find out verb		To discover, as by asking or investigating.
rip out verb		To remove by ripping
show up verb		To appear, arrive, or attend, especially suddenly or erratically.
stand behind verb		To support; express one's support for, especially despite opposition; to stick with a decision.
tear apart verb	/ˈtɛɚ əˈpɑɹt/	To destroy.

Grammar in this video

The structures the speaker uses most, with the exact words from the video:

Structure	In the video
Present perfect have/has + past participle — a past action that still matters now	they've invested · they've proved · has insinuated
Passive voice be + past participle — the focus is on what happens, not who does it	being blocked · was blown · are animated

Pronunciation to watch

The speaker uses 12 contractions and reduced forms, such as I'm, I've, it'll. Say them the short way, as you hear them.

The “sh” and “zh” sounds: benchmark /ˈbɛn(t)ʃmɑːk/, animation /ˌæn.ɪˈmeɪ.ʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/, mesh /mɛʃ/, evaluation /ɪˌvæljuˈeɪʃn̩/
Long words — get the stress right: animation /ˌæn.ɪˈmeɪ.ʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, independently /ˌɪndɪˈpɛndəntli/, fundamental /ˌfʌn.dəˈmɛn.təl/

How to practise with this video

Listen to the whole video once without speaking and note the words you do not know.
Start at 0.75× speed, shadow it sentence by sentence, then go back to normal speed once it feels easy.
Record yourself and compare with the original, paying attention to words like benchmark, animation, bone.

What is the Shadowing Technique?

Shadowing is a science-backed language learning technique originally developed for professional interpreter training and popularized by polyglot Dr. Alexander Arguelles. The method is simple but powerful: you listen to native English audio and immediately repeat it out loud — like a shadow following the speaker with just a 1–2 second delay. Unlike passive listening or grammar drills, shadowing forces your brain and mouth muscles to simultaneously process and reproduce real speech patterns. Research shows it significantly improves pronunciation accuracy, intonation, rhythm, connected speech, listening comprehension, and speaking fluency — making it one of the most effective methods for IELTS Speaking preparation and real-world English communication.

Shadowing technique: read the full step-by-step guide →

Shadowing Practice: China just dropped a new frontier model... and nobody can explain how - Learn English Speaking with Video

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Vocabulary and speaking notes for this lesson

Key vocabulary in this video

Phrasal verbs you will hear

Grammar in this video

Pronunciation to watch

How to practise with this video

What is the Shadowing Technique?