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ChatGPT’s Updated Canvas Mode in GPT-5: What’s new and how to make it work for you

U.S. adds trackers to AI chip exports, GPT-5 one model plan fails, Apple shifts towards AI hardware and more!

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Everyday AI
August 13, 2025

Outsmart The Future

Today in Everyday AI
6 minute read

🎙 Daily Podcast Episode: Unlock the power of ChatGPT’s updated Canvas Mode in GPT-5. Discover game-changing features, live business use cases, and step-by-step tips to make GPT-5 Canvas Mode work for you. Give it a listen.

🕵️‍♂️ Fresh Finds: Perplexity Comet open to all U.S. users, Anthropic unveils safeguards for Claude and Stable Diffusion gets speed boost from NVIDIA. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: U.S. adds trackers to AI chip exports, GPT-5 one model plan fails and Apple shifts towards AI hardware. For that and more, read on for Byte Sized News.

🧠 Learn & Leveraging AI: OpenAI’s Canvas Mode with GPT-5 is amazing! We break down how you can boost your biz with this new update. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about Perplexity bidding $34.5B for Google Chrome, Anthropic offers $1 deal to U.S. government, xAI threatening to sue Apple and more. Check it here!

 ChatGPT’s Updated Canvas Mode in GPT-5: What’s new and how to make it work for you 🫵

Have you tried ChatGPT's updated Canvas mode in GPT-5?

If you didn't know, most frontier LLMs have a way for you to render and run code in the browser like a virtual computer -- this is what ChatGPT's Canvas mode does. 

Previously, Google Gemini's Canvas and Anthropic's Artifacts were light-years ahead of ChatGPT's Canvas mode. 

With GPT-5, though, OpenAI has closed that gap. 

We'll tell you what's new, how it works, and how to put GPT-5's updated Canvas mode to work for YOU. 

Also on the pod today:

• Canvas Mode: Live Code Writing & Rendering 💻
• Uploading & Visualizing Data in Canvas Mode 📊
• Comparing Canvas Mode to Gemini’s Canvas 🤔️

It’ll be worth your 47 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Omniflow is an AI operating system for product development, AdClone AI remixes any ad in LinkedIn’s Ad Library and Music AI Bubble connects ChatGPT to your music app for music trivia and info.

Perplexity – Comet is now available for all U.S. Pro users.

Anthropic – Anthropic has hired Humanloop’s three co-founders and most of its team in what appears to be an acqui‑hire, to accelerate its enterprise push.

Anthropic – Anthropic unveiled its safeguards for Claude.

Google – A first look at Google Translate, shows how AI centric it will be.

AI Video – Stability AI has collaborated with NVIDIA to make Stable Diffusion 3.5 run 1.8x times faster.

AI in Healthcare – Some doctors are now worse at detecting cancer after relying on AI.

Read This – Geoffrey Hinton, the ‘godfather of AI” has revealed the only way humanity can survive superintelligent AI.

1. U.S. embeds trackers in AI-chip shipments to curb diversion 🚀

U.S. authorities have secretly placed location trackers in select Dell and Super Micro server shipments containing Nvidia and AMD chips to root out illegal diversions to China and other restricted destinations. The tactic—used with administrative approval or court warrants—aims to build enforceable cases against smugglers and supplements broader export controls introduced since 2022.

For engineers, resellers or startups relying on global supply chains, this raises the stakes for compliance and inventory checks, and means tighter scrutiny (and potential delays) on cross-border hardware deals.

2. GPT-5’s “One Model” Promise Stumbles with New Mode Choices 🧑‍🏫️

OpenAI rolled out GPT-5 with an Auto router meant to simplify ChatGPT, but the company quickly added “Auto,” “Fast,” and “Thinking” modes and restored legacy models like GPT-4o after user backlash, showing the unified approach didn’t stick.

The change follows launch-day routing problems and user complaints that the router didn’t match preferences or match prior models’ personalities, prompting public explanations from Sam Altman and product leads.

3. Apple Plots AI Hardware Surge — robots and smart-home push 🧑‍🏫️

Apple is pivoting from iPhone-driven growth to an AI-first smart home strategy—rolling out devices like the J490 display (2026) and a J595 tabletop robot (2027), paired with on-device Apple Intelligence and custom silicon to lock users into a privacy-focused ecosystem. T

This shift is timely: with iPhone growth cooling, Apple’s $500B U.S. investment plan and new data center capacity aim to create a flywheel—more smart-home data fuels better AI, which drives premium devices, subscriptions, and deeper user stickiness.

4. Oracle Launches AI-First EHR For Ambulatory Care 🩺

Anthropic’s top security officer warns that AI-powered virtual employees, equipped with their own roles, memories, and corporate accounts, are expected to start operating within companies by next year. This shift will force organizations to rethink cybersecurity, as managing AI identities introduces new risks like rogue AI hacking and unclear accountability.

The company is already testing its Claude models for cyber resilience and monitoring potential abuse, highlighting how critical AI security will become.

5. Altman Backs Merge Labs to Take on Neuralink 🇪🇺

Sam Altman and OpenAI are funding a new startup called Merge Labs that aims to build brain-computer implants, directly challenging Elon Musk’s Neuralink. The move formalizes a long-standing interest from Altman in a “merge” between humans and machines and signals a shift where leading AI groups are moving into hardware that connects directly to brains.

For professionals and founders, this could accelerate demand for neurotech expertise, clinical partnerships, and software that safely translates neural signals into useful applications.

🦾How You Can Leverage:

GPT-5's biggest business breakthrough got completely ignored.

While everyone obsessed over benchmark drama and model rollout hiccups, the real revolution happened quietly. GPT-5’s coding performance jumped from 30% to 75% accuracy on software engineering benchmarks, and all those capabilities are just sitting there in the often-ignored Canvas mode. 

Seems like nobody noticed with all the other GPT-hubalub. 

That's why we gave the updated GPT-5 Canvas mode the ‘AI at Work on Wednesday’ treatment today on Everyday AI.

 Cuz TBH, it's crazy how overlooked this is. Canvas mode just democratized app development for every non-technical business leader with a ChatGPT account and an idea. 

Your accounting team can now build custom calculators. Sales can create interactive pricing tools. Operations can automate workflow dashboards.

No IT department required.

Ready to build competitive advantages while your competitors argue about benchmarks?

Let’s get after it. 

1 – The 700 Million User Developer Army 🔥

Every ChatGPT user just became a potential app developer.

Nobody's talking about it.

This isn't about replacing your development team. It's more so about solving the problems too small for formal development but too important to ignore.

Your sales team needs a custom ROI calculator that reflects your actual value proposition. Your legal team wants a contract comparison tool that highlights your specific risk areas. Your operations team craves dashboards that track your unique KPIs.

Generic software doesn't cut it.

Canvas mode fills that gap perfectly. We're talking about department-level automation that happens during lunch breaks instead of six-month IT projects.

The competitive advantage is customization. While competitors use one-size-fits-all solutions, you're building tools that match exactly how your business operates.

Try This:

Identify the most tedious manual process your team handles weekly.

Open Canvas mode in ChatGPT. Describe exactly what you want automated, including your specific business logic and variables.

Build it, test it, deploy it. Skip the IT backlog entirely.

2 – Vibe Coding Becomes Business Strategy 🚀

Maybe the trendy vibe coding craze will go truly mainstream now. Like… inside ChatGPT mainstream. 

Non-technical executives building their own software isn't some future prediction.

It's happening now, and users can easily share their creations with one click. 

The term "vibe coding" perfectly captures what's possible. Throw a business problem at Canvas mode and watch it build a working solution. No technical knowledge required.

This changes everything about internal tool development. Contract analyzers. Meeting summary builders. Proposal generators. Budget variance trackers.

All buildable by the people who actually use them.

The strategic implication? Your team's operational pain points can become competitive advantages overnight. That clunky process your competitors accept as "just how business works" becomes your streamlined secret weapon.

Smart executives are already identifying which workflows need custom solutions. The problems their teams complain about but IT can't prioritize..

Try This:

List your team's top three operational frustrations. The ones that eat up hours but seem too niche for existing software.

Pick the simplest one. Build a Canvas mode solution that handles that exact workflow.

Scale the approach once you see the time savings and efficiency gains.

3 – The Customization Competitive Edge ⚡

Generic business software serves everyone poorly.

This isn't about building the next SaaS unicorn. It's about creating internal tools that give your team unfair advantages in their daily work.

Or, that cuts a tedious daily task from 1 hour to 3 minutes. 

Your pricing models are unique. Your client qualification process is specific. Your reporting needs are particular to your industry and business model.

Why settle for generic solutions when you can build exactly what you need?

The real insight hiding in plain sight? Canvas mode democratizes the competitive advantage that tech companies have always had. The ability to build internal tools that optimize their specific workflows.

Now every business leader can do the same.

Your competitors are still waiting for software vendors to build solutions that kind of fit their needs. You're building tools that fit perfectly.

Try This:

Identify one area where your team uses inadequate software or manual processes because nothing fits your exact needs.

Build a custom solution in Canvas mode. Include your specific variables, business logic, and workflow requirements.

Deploy it immediately. Watch your team's efficiency improve while competitors struggle with generic alternatives.

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