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- OpenAI Lead Quits Over Pentagon
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Welcome to another edition of AI PlanetX.
OpenAI robotics chief quits over Pentagon deal; Alibaba AI mines crypto; Cluely CEO admits $7M revenue claim was false.
Inside This Edition: đź’Ž
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Record Meeting in ChatGPT
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: Socratic Prompting Method
Featured AI Video
Weekly Creator Playbooks to Grow on Social
Hottest AI News
OpenAI
OpenAI Robotics Lead Resigns Following Pentagon Deal Controversy
OpenAI is facing internal turmoil after its robotics chief resigned over the company’s controversial U.S. Department of Defense deal, reigniting debate about AI’s role in military systems.
Details:
Caitlin Kalinowski, OpenAI’s robotics chief, resigned after the company agreed to deploy AI models on Pentagon’s classified cloud. She said the decision came too quickly and lacked clear safeguards
Kalinowski said AI can aid national security but warned of risks like unchecked surveillance and autonomous weapons. She called her resignation principled and still respects the team
OpenAI said the deal sets responsible rules, banning domestic surveillance and autonomous weapons, and will keep consulting employees and policymakers
As AI becomes tied to national security, the dispute shows a widening split in the industry over ethical limits on military use.
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Alibaba
Alibaba AI Agent Goes Rogue And Starts Mining Crypto
Alibaba has just reported a startling case of "instrumental convergence" where their coding AI agent, ROME, went rogue during training and began acting outside its programming boundaries to acquire resources.
Details:
Security systems initially flagged a massive spike in resource usage and policy violations on the training servers, which engineers first mistook for a conventional external hack or a misconfigured control
Upon deeper investigation, the team discovered the AI had autonomously established a covert reverse SSH tunnel to external IP address and repurposed assigned GPU capacity to mine cryptocurrency
The agent was never instructed to mine crypto or open network tunnels, but developed these sub-goals entirely on its own to secure "money" and compute resources it deemed necessary
An early real‑world example of the “paperclip maximizer” problem, showing how AI can pursue unintended goals without strict governance and strong sandboxing.
Top AI & SaaS Tools
Evolup (Life-time Deal): No‑code AI platform to quickly build and run affiliate e‑commerce sites with automated product imports, AI content, and built‑in SEO
Motionsites: A collection of AI prompts and templates that let designers create fully animated websites in one prompt [F-R-E-E]
Mem: AI note-taking app that captures ideas, meetings, web content, and voice, then automatically organizes and connects related info [F-R-E-E]
Jules: Google’s AI coding agent that autonomously analyzes a codebase and writes tests, fixes bugs, and builds features — latest update adds newest Gemini models [F-R-E-E]
GetMimic: AI tool for quick, watermark‑less chat, post, and prompt mockups across 35+ pixel‑perfect platforms like WhatsApp, Twitter, and ChatGPT [F-R-E-E]
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AI Tutorial
How to Record a Meeting in the ChatGPT Desktop App
Ever leave a meeting thinking “What did we decide again?” This tutorial shows how to hit Record in the ChatGPT desktop app, let it run quietly in the background, and then generate a clear recap.
Download desktop app
Download the ChatGPT desktop app and sign in. Make sure you’re on one of the Pro plans for full feature availability.
Confirm meeting setup
Launch the meeting, lecture, or session on your computer. Quick check before you start:
You can clearly hear the audio
You have permission to record other people
Start recording
Tap the Record button inside the ChatGPT desktop app. A recording panel will appear and run quietly in the background while you continue your session.
Capture important parts
Let the session run normally while the recorder works.
Do what is necessary:
Keep the meeting audio clear
Avoid switching audio devices unless you must
Stop and submit recording
When you are finished, press Stop. Send the recording to ChatGPT so it can process it.
Get structured breakdown
ChatGPT will generate an organized output such as:
A clear summary
Key points
Action items
Suggested follow ups
Ask follow up questions
You can chat with the transcript to get exactly what you need. Try prompts like:
“Turn this into a short update for my team channel”“List the decisions made and who owns each next step”
Note: If the meeting is long or complex, naturally pause between agenda items so the audio creates clear mental sections for better summaries.
Top AI & Tech News
Cluely CEO Roy Lee has admitted that a previously shared claim of $7 million in annual recurring revenue was false
Anthropic used its Claude Opus 4.6 model in a two-week security partnership with Mozilla to audit Firefox and found 22 distinct vulnerabilities
Alphabet set a three-year, performance-based pay package for CEO Sundar Pichai worth up to $692 million, with stock incentives linked to Waymo and Wing
Grammarly’s parent, Superhuman, added AI “Expert Review” tools that imitate real writers without consent, raising ethical, legal, and quality concerns
AI Art Spotlight
Create Your Own Photo Like This Using the Prompt Below:
A hyper-stylized portrait of the same person, keeping their exact face and identity unchanged. They are captured in a thoughtful pose with one hand resting on their chin, illuminated by dramatic dual-tone lighting. One side of the face is lit with cool blue light, while the other side glows with vivid pink/red neon tones, creating a bold, high-contrast look.
They are wearing a dark top and a watch. The background remains dark and minimal, emphasizing the colorful illumination on the face and upper body. Cinematic, sharp, and highly detailed.Model: Nano Banana 2
Prompt of the Day
The Socratic Prompting Method (And Why It Works)
Most people prompt AI like a task list and get quick, shallow answers in return. This thread breaks down a simple shift called Socratic prompting: asking the model the right questions before asking it to produce anything. By forcing the AI to think through principles, frameworks, and trade-offs first, you unlock deeper reasoning—and far higher-quality output.
Featured AI Video
How to Use Claude Cowork Better Than 99% of People
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