Good morning, AI enthusiasts. While there’s loads of speculation on how AI is being adopted across the globe, two of AI’s biggest players just provided receipts on how the technology is definitely being put to work.
With insights like personal use overtaking skilled tasks, massive adoption gaps between wealthy and poor nations, and users increasingly treating AI like a search engine, the actual story of AI adoption is unfolding in ways no person predicted.
Speaking of adoption… We love hearing how our readers are using AI of their work or every day life. Share your story for a probability to be featured within the newsletter!
In today’s AI rundown:
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OpenAI and Anthropic reveal how hundreds of thousands use AI
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OpenAI’s GPT-5 Codex for upgraded autonomous coding
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Use ChatGPT to enhance your considering patterns
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Reve revamps creative platform with advanced editing
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4 latest AI tools, community workflows, and more
LATEST DEVELOPMENTS
OPENAI & ANTHROPIC
📊 OpenAI and Anthropic reveal how hundreds of thousands use AI

Image source: OpenAI
The Rundown: OpenAI and Anthropic each published latest data on AI usage patterns across their platforms, revealing demographic shifts, geographic divides, and a growing split between personal and business applications.
The main points:
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Claude users focus heavily on coding, while ChatGPT sees more writing and decision support, with users searching for advice over content creation.
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Personal use of ChatGPT surged from 53% of messages in June 2024 to 73% by 2025, with non-work conversations growing faster than skilled ones.
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AI adoption in low and middle-income countries is growing 4x faster for ChatGPT, while Claude usage is essentially concentrated in wealthy regions.
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Each platforms show users delegating tasks more ceaselessly over time, with a rise in “information searching for” and search quite than output generation.
Why it matters: AI usage across the globe is rising fast, but these reports offer an interesting have a look at how different each adoption and use cases might be across each demographic and regional divides. The non-public use surge is especially interesting, showing that it’s not only work habits being completely altered within the AI age.
TOGETHER WITH AUGMENT CODE
The Rundown: Augment Code’s powerful AI coding agent and industry-leading context engine meet skilled software developers exactly where they’re, delivering production-grade features and deep context into even the most important and gnarliest codebases.
With Augment Code, you possibly can:
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Index and navigate hundreds of thousands of lines of code
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Get easy answers about any a part of your codebase
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Automate processes across your entire development stack
Construct with the AI agent that gets you, your team, and your codebase.
OPENAI
⚙️ OpenAI’s GPT-5 Codex for upgraded autonomous coding

Image source: OpenAI
The Rundown: OpenAI just introduced GPT-5 Codex, an upgraded, specialized coding model that may dynamically adjust its compute effort based on task complexity — spending seconds on easy fixes or several hours on more complex issues.
The main points:
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The model outperforms GPT-5 on SWE-bench Verified for real-world software use cases, with even larger gains on refactoring tasks at 51.3% versus 33.9%.
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GPT-5 Codex cuts token usage by 94% for easy tasks, while dedicating 2x the reasoning time to complex problems, with autonomous runs of over 7 hours.
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Built-in code review capabilities navigate entire codebases, execute tests, and validate dependencies to catch critical software bugs.
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The update also includes revamped CLI tools, IDE extensions for VS Code and Cursor, and handoffs between local and cloud environments.
Why it matters: Agentic coding tools have completely modified development workflows in only a yr — and although Anthropic’s models and Claude Code tool initially dominated the scene, OpenAI’s Codex and models have made for a robust alternative and competitor despite the corporate’s broader user base.
AI TRAINING
🤔 Use ChatGPT to enhance your considering patterns

The Rundown: On this tutorial, you’ll learn find out how to break out of circular considering and generate creative solutions for any business problem through the use of GPT-5’s structured questioning approach to surface blind spots and unlock fresh perspectives.
Step-by-step:
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Go to ChatGPT, toggle on GPT-5 in Auto mode, and use this prompt: “I’m attempting to [describe your goal or problem], but I’m repeatedly stuck on the identical ideas. Ask enough questions on the issue to seek out a brand new approach.”
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Add context about your current approaches so GPT-5 knows what you are already trying and may push you beyond those solutions
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Answer GPT-5’s questions across categories like user understanding, product experience, engagement, and analytics to disclose latest angles
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Review the fresh solutions that emerge from this process and iterate on promising ideas
Pro Tip: Use this workflow for any problem, not only churn. The magic is in how GPT-5 questions you until you hit latest considering pathways for higher brainstorming.
PRESENTED BY FIDDLER
The Rundown: The Fiddler Agentic Observability Guide breaks down what’s needed to observe and control complex, multi-agent systems in production.
Learn find out how to:
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Pinpoint issues across the agentic hierarchy
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Visualize aggregated metrics and granular insights
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Gain context on agent decision paths and chains of logic
REVE
🎆 Reve revamps creative platform with advanced editing

Image source: Reve
The Rundown: Reve just unveiled a newly revamped image platform that mixes AI image generation, natural language editing, and drag-and-drop controls right into a single freely available interface.
The main points:
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The platform uses a “layout representation” system that converts images into code-like structures, enabling precise edits while preserving original images.
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The ‘latest Reve’ incorporates a drag-and-drop editor that permits for granular changes to elements inside each uploaded and generated images.
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Reve also adds a chat box to create, mix, and edit images via natural language commands, with the power to go looking the online for inspiration.
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The corporate released API access in beta, allowing developers to integrate Reve’s image creation and editing into third-party applications and workflows.
Why it matters: It’s been just weeks since Google’s Nano Banana modified the image editing game, and now we’ve already had ByteDance’s Seedream 4.0 and Reve launch similar capabilities. Image models have already reached insane quality levels, but advanced editing is the subsequent frontier that opens up completely latest use cases.
QUICK HITS
🛠️ Trending AI Tools
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⚙️ GPT-5 Codex – OpenAI’s latest upgraded model for agentic coding
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🛡️ VaultGemma – Google’s open model to safeguard user data
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🎨 Reve – Free AI image generator with latest advanced editing features
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💻 Holo 1.5 – H Company’s open foundation models for computer use agents
📰 Every part else in AI today
Innovate with AI at AWS Symposium Ottawa, Oct 1. Join public sector leaders, explore emerging tech, and shape the longer term of AI in Canada. Register to attend without spending a dime.*
Google released VaultGemma, the most important publicly available AI model trained with “differential privacy” to guard user data.
OpenAI is aggressively hiring robotics researchers with humanoid expertise, in keeping with a brand new report from WIRED, signaling a push into physical AI systems.
H Company introduced Holo 1.5, a brand new family of open weights Computer Use models that achieve SOTA performance across a series of agentic benchmarks.
Microsoft announced the addition of Copilot Chat and agents across its 365 apps (Word, Excel, etc.), incorporating the AI right into a sidebar for quick and seamless access.
OpenAI’s chairman, Bret Taylor, said that there’s an AI bubble and “a variety of people will lose a variety of money”, however the tech will still “create huge amounts of economic value.”
*Sponsored Listing
COMMUNITY
🤝 Community AI workflows
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Mark D. in the UK:
“As an alternative of handing my two sports-mad boys their school reports as dry PDFs, I turned them into something they’d actually enjoy. Using ChatGPT, I rewrote the reports as soccer post-match evaluation scripts — complete with commentary on their “stats,” highlights, and “areas for training.” Then I ran the scripts through ElevenLabs, giving them the voice of an excitable sports broadcaster.
The result? School feedback delivered like a Match of the Day highlight reel. Strengths became “goals scored,” targets became “training drills,” and report day suddenly felt like match day. For the primary time, they asked to listen to their reports greater than once.”
How do you employ AI? Tell us here.
🎓 Highlights: News, Guides & Events
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Read our last AI newsletter: The last word skill for the AI world
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Read our last Tech newsletter: Pharma’s $1B bottleneck meets AI
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Read our last Robotics newsletter: Zoox’ driverless robotaxi service
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Today’s AI tool guide: Use ChatGPT to enhance your considering patterns
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RSVP to next workshop @ 4PM EST Friday: Construct reliable AI assistants
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See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown
