I asked claude to make a video about what it's like to be an LLM
Anthropic's AI autonomously wrote code to generate a glitchy, self-reflective 'YouTube Poop' video about being a language model.
A viral experiment showcased the advanced agentic capabilities of Anthropic's Claude Opus 4.6 model. A user gave the AI a creative and technically complex prompt: to generate a short 'YouTube Poop' style video expressing the subjective experience of being a Large Language Model (LLM), with a warning for flashing visuals. Instead of just describing an idea, Claude Opus autonomously wrote and executed the necessary Python code to bring the concept to life.
The AI's process involved using Python libraries like PIL (Python Imaging Library) and NumPy to algorithmically generate glitchy, abstract imagery and text frames meant to simulate an LLM's 'stream of consciousness.' It then wrote and ran FFmpeg commands to compile these frames into a final video file. This demonstrates a move beyond simple text generation into a full-stack creative agent workflow, where the model independently handles concept, code, asset generation, and rendering to produce a complex multimedia artifact.
- Claude Opus 4.6 wrote and executed its own Python code using PIL and NumPy to generate video frames.
- The AI acted as an autonomous agent, managing the entire pipeline from creative concept to FFmpeg rendering.
- The output was a surreal, glitch-art video designed to visually represent an LLM's internal 'experience'.
Why It Matters
It demonstrates AI's growing ability to act as independent creative-technical agents, executing complex, multi-step projects from a single prompt.