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Anthropic now says Claude writes more than 80% of its own production code, which means the software building the AI is increasingly the AI itself. OpenAI is rebuilding ChatGPT into a coding super-app around Codex, which means your chat window, your IDE, and your agents are collapsing into one. And Google just shrank Gemma to run in about 1GB, which means a genuinely capable model can now live in your pocket instead of a data center.

In today’s AI Pulse

• 🤯 Claude Writes Itself – Anthropic says AI now authors 80%+ of its code.

• 🤖 ChatGPT Goes Super-App – OpenAI rebuilds it into a coding powerhouse.

• 📱 Gemma Goes Pocket-Size – Google's QAT shrinks the model to ~1GB.

• ⚡ Quick Hits – IN AI TODAY

• 🛠️ Tool to Sharpen Your Skills – 🎓 AIGPE® Certified Kano Analysis

The coming years won’t just transform technology; they’ll reshape your home, your family life, and the control you have online.

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🤯 Will AI Start Building Itself? Anthropic's Claude Already Writes Most of Its Code

🧠The Pulse

Anthropic says Claude now writes more than 80% of the code merged into its own production codebase, up from single digits when Claude Code launched in early 2025. Engineers increasingly direct and review the AI rather than type it, fueling fresh debate about recursive self-improvement, where AI helps build its own successor.

📌The Download

• 80% and climbing – More than 80% of code merged into Anthropic's production codebase is now authored by Claude, up from low single digits in early 2025.

• Real productivity jump – Anthropic engineers estimate they produce roughly 4x more output with AI help, with raw daily code volume up even more.

• Harder problems solved – Claude's success rate on complex, open-ended engineering tasks climbed to about 76% in May 2026, a 50-point gain in six months.

• The loop debate – The milestone reignites the recursive self-improvement question, even as Anthropic publicly calls for industry caution.

💡What This Means for You

If your work touches software or analysis, AI is shifting from autocomplete to author. The premium skill becomes oversight: framing the problem, reviewing the output, and catching what the model gets wrong. Start building direction-and-review habits now, because supervising AI work is fast becoming the core professional competency.

🤖 ChatGPT Is Becoming a Coding Super-App

🧠The Pulse

OpenAI is mounting its biggest ChatGPT overhaul yet, evolving the product into a "super-app" built out of Codex that bundles coding tools, agents, image generation and memory. Codex now has roughly 3 million weekly users and is adding about a million a month as OpenAI builds the super-app in the open.

📌The Download

• Super-app strategy – OpenAI is turning ChatGPT into a multi-purpose super-app, with Codex as the foundation for coding and agent workflows.

• Explosive adoption – Codex has reached about 3 million weekly users and is adding roughly a million users every month.

• Beyond coding – Codex can now operate your computer, use everyday apps, generate images, remember preferences and learn from past actions.

• Revenue runway – The overhaul is aimed at driving revenue ahead of OpenAI's planned public listing.

💡What This Means for You

The line between chatbot and workbench is disappearing. Soon one tool may write the code, run the app, and document the result. For professionals, that means favoring platforms that consolidate workflows and learning to orchestrate AI agents rather than juggling a dozen separate point tools.

📱 Google Shrinks Gemma to Fit in Your Pocket: QAT Cuts the Model to ~1GB

🧠The Pulse

Google DeepMind released Gemma 4 checkpoints trained with quantization-aware training (QAT), slashing memory needs while preserving quality. The smallest variant, Gemma 4 E2B, now runs in roughly 1GB of memory, making genuinely capable AI practical on phones, laptops and consumer GPUs with no cloud required.

📌The Download

• 1GB footprint – Gemma 4 E2B now runs in about 1GB of memory, with the text-only version needing even less.

• Quality preserved – QAT bakes compression into training, retaining more quality than standard post-training quantization.

• Mobile-first formats – The release adds the Q4_0 format plus a mobile-specialized quantization schema with channel-wise layouts and compressed caches.

• Runs anywhere – Weights work with llama.cpp, Ollama, LM Studio and more for true on-device deployment.

💡What This Means for You

Powerful AI is moving off the cloud and onto your own device, which means lower cost, stronger privacy, and no latency. If you handle confidential data, local models let you automate without sending anything off-site. It is worth piloting a small local assistant on your hardware soon.

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IN AI TODAY - QUICK HITS

⚡Quick Hits (60‑Second News Sprint)

Short, sharp updates to keep your finger on the AI pulse.

• Generalist AI Raises $400M for Robots That Think Like Us: Robotics startup Generalist AI raised $400 million (led by Radical Ventures, with NVIDIA and Bezos Expeditions joining) at a roughly $2B valuation to build "physical AGI" foundation models that work across humanoids, warehouse machines and robotic arms.

• Robots Are Becoming Business Systems: The 2026 shift is from standalone machines to integrated business systems, with the real value moving to software, interfaces, training and compliance, and demand concentrating in warehouse, healthcare and home-service workflows.

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🙌 About Us

AI Pulse is the official newsletter of AIGPE®. Our mission: help professionals master Lean, Six Sigma, Project Management, and now AI, so you can deliver breakthroughs that stick.

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