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Welcome to another edition of AI PlanetX.
Claude adds hidden watermarks; researchers crack AI reasoning, while Grok Bot turns AI into autonomous teammates.
Inside This Edition: 💎
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Automate Meeting Prep with Google
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: Eliminate AI Slop from Code
Featured Video
Course of the Day: OpenAI Codex Masterclass
Hottest AI News
AI & Society
AI CEOs Are Facing a Massive Trust Problem With Young Americans
Young Americans aren’t just skeptical of AI. A CNBC Generation Labs survey of 1,000+ US adults aged 18–34 shows deep distrust of the executives leading it, a sharp reversal from the era when Google and Apple were dream jobs.
Details:
Asked who they trust to act responsibly on AI, most rejected all nine executives. Alex Karp scored worst at 81% distrust. Satya Nadella ranked best, but just 35% said they trusted him
Distrust stayed high across tech’s biggest names: Peter Thiel 79%, Mark Zuckerberg 71%, Elon Musk 70%, and Sam Altman 69%. The shift follows years of privacy, platform, and democracy concerns
AI itself worries young adults: 45% expect a negative career impact, 40% want government regulation, and 60% want data-center construction slowed. Yet CEOs appear even less popular overall
The bigger story is trust. Young people fear AI, job disruption and data centers, but seem even more skeptical of the people deciding where AI goes next.
The Voice Data Behind the World's Best AI
Training data quality determines model quality. Voices delivers custom or pre-built voice datasets—directed by real professional talent, not scraped audio—across any language, accent, or emotional range.
Choose from 800+ hours of character voice performances, 1,723 hours of QA'd conversational data across 56 emotional states, or 1,000 hours of expressive, multi-language data with full emotion tagging. Every dataset ships with clear licensing, signed consent, and usage rights baked in, so your legal team sleeps easy and your model trains on data it can actually use.
7 of the world's top 10 AI labs already use Voices. Request free samples and hear the difference professionally directed voice data makes.
AI Research
Doctor Solves a 22 Year Math Problem With ChatGPT After 16 Hours of AI
A Beijing neurosurgery resident with no advanced math degree may have solved a problem open for over two decades. Shanmu Jin’s proof of Crouzeix’s Conjecture emerged from a 16-hour GPT-5.6 Sol run in ChatGPT Work.
Details:
Jin found the problem through transcranial-ultrasound research. He studied geology as an undergraduate, later trained in medicine, and taught himself the advanced mathematics
He adapted an OpenAI math prompt, blocked web search, and used branching subagents to pursue different proof paths, attack weak ideas, and continue until a proof survived
The paper is still a preprint, so formal peer review is pending. But Alex Townsend, Anne Greenbaum, and Michel Crouzeix have checked it and say they believe the proof is correct
AI may widen who can make mathematical discoveries. As more proofs arrive this way, expert verification could become an increasingly valuable skill.
Top AI & SaaS Tools
Rainfrog (Life-time Deal): Node-based visual workflow platform that helps teams create consistent, campaign-ready visuals from reusable brand assets—without writing AI prompts
Meridian: Open-source AI work journal that runs entirely on your device. It automatically records and summarizes your daily work, then drafts updates for tools like Jira [F-R-E-E]
Cloudflare OS: Open-source AI operating system that gives each employee a customized agent and workspace built around the company’s context, tools, and rules [F-R-E-E]
Vocal Slice: Desktop audio editing tool that lets you select words from a transcript to precisely cut and export voice clips, with processing done locally on your device [F-R-E-E to Try]
Pika Audio: Launched 4 affordable generative audio models—Soundtrack, Music, SFX, and Speech—for creating synchronized video audio, songs, sound effects, and expressive voices
The best marketing ideas come from marketers who live it. That’s what The Marketing Millennials delivers: real insights, fresh takes, and no fluff. Written by Daniel Murray, a marketer who knows what works, this newsletter cuts through the noise so you can stop guessing and start winning. Subscribe and level up your marketing game.
AI Tutorial
How to Automate Meeting Prep with Google Gemini
Never enter a meeting unprepared. This guide shows a Google Workspace Studio automation that uses Gemini to create a meeting brief, organize context, suggest an agenda, and block time before the call.
Create meeting-based flow
Go to Google Workspace Studio. Create a fresh flow. Choose Based on a meeting so it uses your Google Calendar meeting data.
Set trigger time
Set the trigger to run 10–15 minutes before the meeting. This makes the prep block appear before the call starts.
Add Ask Gemini
Add an Ask Gemini step. Ask Gemini to create a short prep brief from the meeting details.
Prompt example:
“Create a concise meeting prep brief using the meeting details. Include the meeting goal, key context, unresolved items, a suggested agenda, and smart questions to ask.”Define brief sections
Keep the brief focused on useful prep details:
Meeting context
Open loops or unresolved items
Suggested agenda
Questions to ask
Create Google Doc
Add Create a doc next. Use the meeting title variable plus “Prep Brief” as the doc name. Use the Gemini output as the document body.
Example:
“[Meeting Title] Prep Brief”Block prep time
Add Block time as the final action. Use the meeting title and meeting start time variables. Add the Google Doc link variable in the prep block description. This lets you open the brief directly from Calendar.
Test workflow
Create a test meeting in Google Calendar. Go back to Google Workspace Studio. Tap Test workflow. Select that meeting from the dropdown.
Before turning it on, confirm that:
prep block appears before the meeting
Google Doc is created correctly
brief link opens from the calendar block
Once everything works, turn the flow on.
Tip: Add meeting notes, agenda links, or related docs to the calendar event for better context.
Top AI & Tech News
Stripe has reportedly agreed to acquire AI model gateway startup OpenRouter for more than $7 billion, according to Bloomberg
AI may be outperforming mathematicians not through deeper reasoning, but by using vastly greater symbolic memory to manage complex calculations and long chains of logic
Amazon is buying rare books, removing their spines, and scanning them to obtain high-quality, previously unavailable data for AI model training
Higgsfield raised $400 million in Series B funding at a $5.4 billion valuation, reaching $700 million in annualized revenue and 30 million users worldwide
AI Art Spotlight
Create Your Own Product Photo Like This Using the Prompt Below:
Create a premium 4:5 FMCG hero advertisement from the uploaded product image. Preserve the product exactly—no changes to shape, packaging, branding, logo, colors, labels, proportions, materials, or textures. Automatically extract the original brand logo from the packaging and place it cleanly in the top-left. Generate a premium headline, a 1–2 line subheading, and four text-only product features on the left. Display the product as the main hero (≈70% of the layout) with realistic contact shadows, soft reflections, and luxury composition. Add a bottom strip with 4–5 consistent product angles (front, 45°, side, back, top/close-up). Use an Apple-inspired minimal studio with a soft gradient background derived from the product's brand colors, natural window light, HDR global illumination, subtle reflections, and elegant negative space. Swiss typography (SF Pro Display/Helvetica Neue/Inter style). Shot on ARRI Alexa Mini LF with an 85mm product lens. Ultra-photorealistic V-Ray/Octane/Unreal Engine 5 quality, ray tracing, 8K, magazine, catalog, billboard, Amazon listing, and luxury brand campaign standard. No humans, icons, decorative graphics, clutter, or redesigned packaging. Product remains the absolute hero.Model: ChatGPT Images 2.0
Prompt of the Day
Prompt to Eliminate AI Slop and Improve Code Clarity
This prompt deploys 8 specialized subagents to systematically clean up a messy codebase — tackling deduplication, type consolidation, dead code removal, circular dependencies, weak types, unnecessary error handling, legacy code, and AI-generated slop, with each agent researching, auditing, and implementing fixes autonomously.
Featured Video
7 High-Paying Online Jobs You Can Do At Night
AI Course of the Day
OpenAI Codex Masterclass
This course provides an overview of OpenAI Codex as a software engineering agent and shows how it can support developers across the full workflow, from writing and reviewing code to running tests, exploring codebases, and automating recurring tasks.