# Computer Use & Frontend UI with GPT-5.4 Thinking

Source: https://www.youtube.com/watch?v=YICiHiU2GBU
Recap page: https://rapidrecap.app/video/YICiHiU2GBU
Generated: 2026-03-05T18:32:59.668+00:00

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## Quick Overview

GPT-5.4 Thinking successfully builds and tests complex software, including a 3D Electron chess game and a responsive website from a design image, demonstrating significant improvements in following complex instructions and self-correcting work compared to GPT-4.

**Key Points:**
- GPT-5.4 Thinking reduces token usage by two-thirds when testing its own work compared to GPT-4.
- The model successfully built and tested a complex 3D Electron chess game, handling intricate rules like castling and en passant.
- It generated four editorial coffee shop images and built a static webpage from a design image ('Nancy's Coffee Shop_blank.png') using Image Gen.
- The model demonstrated self-correction by verifying its work, such as checking if the chess game rules were implemented correctly and confirming generated filenames.
- The web development task involved creating a responsive site, renaming the brand to 'Nancy's Beans', and tuning CSS for small screens.
- The speaker is Asq, who works on training models to be better at checking their own work, especially for tasks requiring user experience or complex logic.

![Screenshot at 00:17: The title slide appears overlaying the speaker, introducing the video's topic: "GPT-5.4 Thinking CUA & Front-end".](https://ss.rapidrecap.app/screens/YICiHiU2GBU/00-00-17.jpg)

**Context:** The video features Asq, an OpenAI employee, discussing the capabilities of the new GPT-5.4 Thinking model, focusing specifically on its ability to handle complex software development tasks, including building applications and websites, while also being able to check and validate its own output, which is a key area of improvement for large language models.

## Detailed Analysis

Asq, an OpenAI employee working on model training, introduces GPT-5.4 Thinking, emphasizing its improved ability to check its own work, especially for tasks requiring complex logic or user experience (UX). He first demonstrates this capability by asking the model to build and test a 3D Electron chess game, which involves complex rules like castling, en passant, and checkmate detection. When testing the chess game, GPT-5.4's token usage for self-checking dropped by two-thirds compared to GPT-4. The model successfully implemented the game, including glass/marble textures and lighting effects, and played through the game, moving pieces correctly. Next, Asq demonstrates web development capabilities, asking the model to take a wireframe design image for 'Nancy's Coffee' and generate a complete website, renaming the brand to 'Nancy's Beans' and using Image Gen to fill in placeholder images with appropriate coffee shop photos. The model successfully generated four images and built the static HTML and CSS, creating a responsive design. The process showed the model inspecting its own work, checking filesystem artifacts, and verifying the final render on both desktop and mobile widths, illustrating its advanced reasoning and self-correction abilities in development workflows.

### Model Capabilities Focus

- Improving model ability to check its own work, especially for UX and complex logic
- Reducing token usage in self-checking by two-thirds compared to GPT-4
- Demonstrating this improvement across development tasks.

### Chess Game Development Example

- Model built and tested a 3D Electron chess game using Playwright interactive
- Successfully implemented complex rules like castling, en passant, and checkmate detection
- Model validated its own code structure and tested functionality.

### Web Development Example

- Model generated a website from a provided image design for 'Nancy's Coffee'
- Used Image Gen to create four required coffee shop images
- Built static HTML/CSS, ensured responsiveness, and verified the final render on desktop and mobile.

### Self-Correction Process

- Model checks its generated work, for example, by running filesystem checks after asset generation and verifying code output against the initial prompt requirements.

![Screenshot at 00:07: Asq begins setting up the demonstration by interacting with his laptop.](https://ss.rapidrecap.app/screens/YICiHiU2GBU/00-00-07.jpg)
![Screenshot at 00:14: A clapperboard reading 'SQ 003' and 'OpenAI #26025' is used before filming starts.](https://ss.rapidrecap.app/screens/YICiHiU2GBU/00-00-14.jpg)
![Screenshot at 00:56: Close-up of the laptop screen showing the prompt instructing GPT-5.4 to build and test a 3D chess game using Playwright.](https://ss.rapidrecap.app/screens/YICiHiU2GBU/00-00-56.jpg)
![Screenshot at 01:33: The 3D Glass Marble Chess game interface is displayed on the laptop screen as the model executes moves.](https://ss.rapidrecap.app/screens/YICiHiU2GBU/00-01-33.jpg)
![Screenshot at 02:05: The file selection dialog shows the design image used for the web development task: 'Nancy's Coffee Shop\_blank.png'.](https://ss.rapidrecap.app/screens/YICiHiU2GBU/00-02-05.jpg)