Learning Timeline
Key Insights
Reasoning Model Logic
Unlike standard models that might spawn agents randomly, the 'Thinking' model applies stricter logic—such as forcing all bees to use a single entrance—mimicking real-world biological constraints without being explicitly told to do so.
Token Efficiency
The GPT 5.2 thinking mode is optimized to not waste tokens; it moves quickly through the reasoning steps (refining, simplifying) to deliver the code payload without unnecessary conversational filler.
Prompts
Beehive Simulation Generation
Target:
ChatGPT
Make a visual simulation of a beehive construction showing hexagonal cells forming worker bee paths and honey storage. includes sliders for the colony construction.
Step by Step
Generating and Running the Simulation
- Navigate to the ChatGPT interface and ensure you are logged into a Plus account.
- Click the model selection dropdown at the top of the chat window.
- Select 'GPT 5.2 to thinking' to enable the high-performance reasoning variant.
- Paste the simulation prompt into the chat input field and press Enter.
- Wait for the model to process the 'Thinking' stages (refining resource effects, simplifying movement, etc.).
- Locate the HTML code block in the final response.
- Click the 'Copy code' button in the top right corner of the code block.
- Open a text editor or code IDE on your local computer.
- Paste the copied code into a new blank document.
- Save the file with an '.html' extension (e.g., 'beehive.html').
- Navigate to the file location on your computer.
- Double-click the file to open it in your default web browser.
Testing Simulation Parameters
- Locate the control panel within the rendered web page.
- Adjust the 'Colony Size' slider to increase or decrease the number of worker bees.
- Adjust the 'Resource Availability' slider to change how fast cells fill up.
- Observe the stats panel at the top for 'Build Rate' and 'Number of Workers' changes.
- Verify that bees are entering/exiting from a single entrance point rather than randomly appearing.