OpenAI has introduced a tracked changes feature to Canvas, allowing users to see exactly what edits have been made to their ChatGPT responses.
This update addresses a key user request since Canvas launched in early October, offering visual feedback on edits for both text and code.
While this is a significant improvement, ChatGPT still has ground to cover compared to competitor tools like Anthropic’s Claude, which offers more integrated code editing features through its AI Artifacts.
Key Points:
Canvas Update: OpenAI has added a tracked changes feature to its Canvas tool, showing changes made to text or code by highlighting additions in green and deletions in red.
Comparisons to Competitors: While this feature helps users see what’s changed, it lacks the deeper integration that Claude’s Artifacts provides, which allows developers to see and test the results of edited code within the same interface.
Availability: Currently, Canvas is available only to paid users on web versions of ChatGPT.
User Feedback: The tracked changes feature has been a highly requested addition, particularly by developers, but some still seek more robust functionality.
Key Quotes:
“A lot of you have asked for diffs in ChatGPT with canvas. It’s now live! Hit ‘show changes’ to see what’s changed in your code.” – OpenAI’s developer X account.
“Canvas and Artifacts represent what could be the next phase in the evolution of AI chat platforms and assistants. The Interface War could see other platforms begin to explore how to keep users in the platform instead of opening other dedicated windows for different tasks.” – VentureBeat
The new tracked changes feature in ChatGPT’s Canvas brings it closer to being a fully functional editing tool, improving user experience by making AI-generated edits more transparent.
However, the comparison with Claude’s Artifacts highlights that while OpenAI is making strides, there are still gaps to fill in terms of integration and real-time code testing.
As more platforms develop similar tools, the competition between AI chat platforms will likely intensify, potentially shaping the future of user interactions in coding, content creation, and other fields.