OpenAI unveils Canvas with Python code execution

Hello, AI Enthusiasts!

Welcome to FavTutor’s AI Recap! We’ve gathered all the latest and important AI developments for the past 24 hours in one place, just for you.

In Today’s Newsletter: 😀 

• OpenAI unveils Canvas with Python code execution

• Pika Labs releases AI video generator 2.0 with new features

• Research finds GenAI cognitively overwhelms many people

OpenAI
👨‍💻 OpenAI unveils Canvas with Python code execution

OpenAI has made its collaborative Canvas editor available to all web users, dropping the previous Plus subscription requirement. The tool enables direct collaboration with ChatGPT for text and code, including Python execution.

Insights for you:

• OpenAI is making its canvas editor available to all web users, not just Plus subscribers. The tool allows users to collaborate with ChatGPT to create text and code.

• The integrated Python emulator is a key feature, which allows code execution and graphical output directly in the browser. The WebAssembly integration supports almost all Python libraries.

• The editor provides developer tools such as syntax highlighting and auto-completion. ChatGPT can detect errors in the code, suggest improvements, and comment on specific text passages. Canvas can also be integrated into custom GPTs.

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Pika Labs
💡 Pika Labs releases AI video generator 2.0 with new features

Pika Labs has released version 2.0 of its AI video generator with a major new feature allowing users to add images to AI-generated videos. The company calls this feature "Scene Ingredients."

Insights for you:

• Pika Labs has released version 2.0 of its video generator, introducing a new "Scene Ingredients" feature that allows users to incorporate their images of people, objects, clothing, and environments into AI-generated videos.

• For example, if you upload a photo of someone and a picture of a cat, then type "a person petting a cat," the AI understands what you want and creates an animated video of that interaction.

• The model automatically identifies the role of the uploaded images and integrates them into a cohesive scene based on text instructions, enabling users to create unique scenarios such as historical figures from paintings in modern settings or dance scenes composed of various elements.

AI Research
🤯 Research finds GenAI cognitively overwhelms many people

A new Microsoft Research study shows that using generative AI systems effectively requires strong metacognitive abilities—our capacity to monitor and control our thoughts. The researchers found that many people struggle with the cognitive demands of professional AI use and proposed specific improvements.

Insights for you:

• A Microsoft Research study finds that effectively using generative AI requires strong metacognitive skills, similar to those of a manager delegating tasks to a team, such as clearly articulating goals, breaking them down into communicable tasks, evaluating outputs, and adjusting plans accordingly.

• The study identifies three key areas where metacognition is crucial: prompting (formulating clear instructions for AI), evaluating AI outputs (requiring appropriate confidence in one's evaluation abilities), and deciding whether and how to automate tasks (demanding self-awareness about AI's suitability for one's workflow).

• The researchers propose interactive chat interface improvements, including integrated planning tools, self-assessment prompts, and workflow management features for platforms like ChatGPT, Microsoft Copilot, and GitHub Copilot.