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Opus 5.5 做的动画,视频模型根本做不出来 | 回到Axton

回到Axton · 2026-09-27 · ai-made · 9,152 views · 中文

▶ Watch on YouTube

Made by AI

Model: Claude Opus 5.5 · Series: Code-rendered film (LLM writes the program that draws every frame)

Evidence: Description (Chinese): two pure-code works written by Claude Opus 5.5 from scratch, the ink-wash web piece 墨韵 (Moyun) and the fully procedural 3D animation 鹈鹕骑自行车 ('pelican riding a bicycle'); prompt quoted in full; source MIT-licensed at github.com/axtonliu/moyun.

Human role: One open prompt asking Opus to do something that would amaze everyone; Axton judged the aesthetics and tested the result.

Pipeline: Opus 5.5 → GPU-rendered ink-wash web app (4 self-corrected versions in 8 minutes) + its own 3D renderer for the pelican animation; music synthesized in code

Lore: pelican-on-a-bicycle, code-not-generated, self-review-loop

What's in the video

Description written by Gemini, which watched and listened to the whole video.

Summary
In this video, tech creator Axton analyzes two procedural, code-only creative projects autonomously designed, coded, and debugged by Anthropic’s Claude Opus 5.5: a real-time interactive Chinese ink-wash painting web simulation named 墨韵 (Moyun / Ink Rhyme), and a fully procedural 3D animation titled 鹈鹕骑自行车 (Pelican Riding a Bicycle). Axton contrasts code-based procedural generation with traditional AI video diffusion models, demonstrating how Opus 5.5 autonomously caught visual bugs and low-level GPU compiler errors using an internal vision-based self-evaluation loop.


What is shown


Claims & numbers


Notable quotes


Assessment

This is a technical hands-on demonstration and review of Claude Opus 5.5's code and reasoning capabilities by an established creator. The demo shows real executable artifacts—including a live browser screen recording showing mouse interaction, fluid physics, and GitHub repository source code—rather than marketing simulations.


Lyrics & themes


Lore & references


Visual style & craft

Described by gemini-3.8-flash on 2026-09-29 from the video's audio and frames.

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