Canvas—12 Days of OpenAI: Day 4

Introduction to Canvas

Overview of the Launch

• Kevin introduces the fourth day of announcements, highlighting the overwhelming demand for Sora, which was launched yesterday.

• He announces that Canvas, previously in beta for Plus users, is now available to everyone and integrated into the main model.

Features of Canvas

• Three key features are introduced:

• General availability of Canvas.

• Ability to run Python code within canvases.

• Integration of Canvas with custom GPTs.

Demonstration of Canvas Functionality

Creating a Christmas Story

• Lee and Alexi discuss using Canvas to create a Christmas story for children.

• They demonstrate how to initiate a canvas by typing a prompt in ChatGPT.

Side-by-Side Editing Experience

• The new side-by-side view allows users to see both chat interactions and canvas output simultaneously.

• This format helps distinguish between document content and conversational prompts, enhancing clarity during editing.

Collaborative Document Editing

Interactive Editing Features

• Users can edit titles and text directly in the canvas while ChatGPT also makes suggestions or edits concurrently.

• Common editing shortcuts are introduced, allowing users to request changes like adjusting length or reading level easily.

Adding Emojis

• A feature for adding emojis is demonstrated; users can choose where to place them within their text.

• ChatGPT revises the document by integrating emojis seamlessly into the existing content without cluttering the interface.

Getting Started with Canvas

Initiating Collaboration

• Users can start collaborating on writing or coding projects either through direct requests or by clicking on the canvas button in the composer interface.

• The ease of starting new projects highlights how Canvas enhances user experience when working with ChatGPT.

Example Use Case: Physics Essay

ChatGPT Enhancements in Canvas

Introduction to New Features

• The speaker discusses a new feature in their text editor that allows users to transfer content directly into ChatGPT's canvas for editing.

• Changes made in the draft document, such as bolding titles, can be done before sending it off to ChatGPT, allowing for extensive edits.

Feedback Mechanism

• Users can request specific feedback from ChatGPT on their essays, enabling targeted suggestions based on the user's work.

• ChatGPT provides inline comments linked to specific sentences, making it easier for users to understand and implement feedback.

• Each comment includes an "apply" button for suggested edits, which users can choose to accept or reject based on personal preference.

Editing Process

• Users are encouraged to elaborate on complex topics; for example, explaining why dark energy is mysterious.

• The speaker humorously mentions helping Santa with logistics while learning data science tools in Python.

Programming Improvements with ChatGPT

Debugging Code

• The speaker shares their experience of debugging Python code using ChatGPT within a local IDE environment.

• Upon pasting code into the canvas, ChatGPT recognizes it as Python and offers syntax highlighting and basic autocomplete features.

Running Code Within Canvas

• A new feature allows users to run Python code directly within the canvas interface.

• When running code that contains errors, ChatGPT identifies issues (e.g., undefined labels), providing immediate feedback and corrections.

Error Correction Features

• Users receive comments about errors detected by ChatGPT along with suggestions for fixes (e.g., replacing 'label' with 'title').

• A "fix bug" button enables automatic correction of identified issues in the user's code by modifying the canvas accordingly.

Visualizing Changes

• The "show changes" feature displays an inline diff of modifications made by ChatGPT, similar to version control systems like Git.

Conclusion of Programming Session

Sanki Flow Diagrams for Santa's Toy Distribution

Introduction to Sanki Flow Diagrams

• The speaker discusses the need for Sanki flow diagrams to track toy distribution, indicating a request from "Santa" for this visual representation.

• ChatGPT is tasked with adding an example of a Sanki diagram, which includes data on total toys delivered, distribution to stores, and defective items.

Troubleshooting and Learning Process

• Initial attempts at running the code reveal color issues in the diagram; ChatGPT suggests using a single color per flow as a solution.

• Despite some bugs in Matplotlib's Sanki layout, a graphic is successfully generated. The speaker reflects on the iterative learning process involving searching for example code and debugging.

Integrating Canvas into Custom GPTs

Overview of Custom GPT Functionality

• The speaker introduces custom GPTs that allow users to provide specific instructions and context for tailored responses.

• A custom GPT is created specifically for Santa to help draft responses to letters he receives from children.

Example Interaction with Custom GPT

• An anecdote about finding a letter addressed to Santa illustrates how images can be integrated into ChatGPT prompts.

• Contextual information about whether children have been naughty or nice is also included in drafting responses.

Drafting Letters with Custom Instructions

Generating Responses Using Context

• The custom GPT begins drafting a response letter based on Alexi’s request, incorporating humor and personalized elements like gifts.

• The draft mentions specific items requested by Alexi (a bike and GPU), showcasing how the model generates relevant content based on input.

Understanding Automatic Features of Custom GPT

• The speaker notes that they did not manually create a canvas; instead, it was automatically generated due to prior instructions given during setup.

Setting Up Custom Instructions in GPT

Configuration Process Explained

• A walkthrough of setting up custom instructions reveals how straightforward it is to configure a new GPT with name, description, and image options.

• Emphasis is placed on writing clear instructions that guide the model's behavior—specifically instructing it to use canvas tools when responding.

Capabilities of New Tools

Canvas Integration in GPTs

Overview of Canvas Features

• The integration of canvas into existing GPT configurations is designed to be seamless, allowing users to enable it without disrupting current functionalities.

• Canvas will be available as a default experience for all web users, regardless of their subscription plan, ensuring accessibility for both free and paid users.

• Key features being rolled out include the ability to use personal content within ChatGPT and canvas, alongside code execution capabilities.