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OpenAI Adds New Canvas Feature To Its ChatGPT Interface
The collaborative work tool can be used for both writing and coding projects.
OpenAI has launched a new workspace tool for ChatGPT known as Canvas. The feature, introduced in a recent blog post, is now accessible to ChatGPT Plus and Team subscribers, with Enterprise and Edu users set to gain access next week.
Canvas provides a dedicated virtual space for writing and coding projects, allowing users to collaborate more efficiently with ChatGPT. It opens a separate window next to the chat interface, where users can place writing or code and select specific sections for the model to review. OpenAI describes it as functioning like a “copy editor or code reviewer”.
For writing tasks, ChatGPT can offer suggestions for edits, change text length, or adjust reading levels. It can even add relevant emojis for emphasis and color. Coders benefit from inline recommendations, debugging help, and the ability to translate code into various programming languages such as JavaScript, Python, or C++.
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With the introduction of Canvas, OpenAI has aligned ChatGPT with similar AI tools, such as Anthropic’s Artifacts and Cursor, which focus on project-specific workspaces.
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UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks
The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.
Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.
Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.
Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.
TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.
“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.
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Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.
Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.
As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.
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