LLM Typing Simulator

Step 2: Configure Display Method

Output:

Output will appear here...

Experiment Explanation:

This simulator transforms raw language model tokens into a human-like typing animation, revealing how AI models "think" through their word choices in real-time.

Mode:
  • Fixed Speed: Consistent typing pace with random variance around the base speed
  • Confidence-based: Typing speed adapts to the model's confidence—high probability tokens type faster, while uncertain choices slow down (based on surprisal)
Correction Threshold: When set above 0, if the second-best token is close enough to the top choice (within the threshold ratio), the simulator will type the runner-up first, pause to "reconsider," then backspace and type the correct token. This visualizes the model's uncertainty between competing options.
Speed & Variance: Control the base typing rate and how much randomness is added to simulate natural human typing rhythms. The simulator also adds extra pauses at word boundaries and punctuation marks.