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Welcome back, Insider. Google came out swinging in 2026, already shipping one of its “most requested” features for Gemini: Personal Intelligence. This feature lets Gemini give answers that are actually relevant to you — based on data from your accounts.
Today: Gemini gets personal, learn how to use Claude Cowork to perform non-technical tasks, and get the latest prompts and trending social posts.
The Essentials
1. Google launches Personal Intelligence, turning Gemini into a proactive AI assistant: The tech giant unveiled a beta feature that connects Gemini to your Gmail, Photos, YouTube, and Search to deliver answers tailored to your life — not just internet data. Ask for recommendations in a new city, and Gemini can now pull your travel dates from Gmail, surface your interests from Photos, and suggest activities that fit your schedule. The feature is rolling out to Google AI Pro and Ultra subscribers, but is turned off by default. Explore a few prompts for Personal Intelligence or learn more here.
2. 2026 could be the year of the “Mega IPO”: OpenAI and Anthropic have reportedly begun preliminary work on potential public offerings, joining SpaceX in what could become a historic IPO wave. The companies’ combined valuations near $2 trillion — with SpaceX at $800 billion, OpenAI at $500 billion, and Anthropic in talks at $350 billion. If all three deals proceed, they could exceed the total amount raised from roughly 200 U.S. IPOs last year.
3. Airbnb hires Meta's former AI leader as CTO: The travel giant tapped Ahmad Al-Dahle — who led generative AI at Meta and the team behind its Llama models — as its new chief technology officer. Airbnb CEO Brian Chesky framed the hire as a push toward building an AI-powered "travel concierge" that moves Airbnb into travel search and personalized trip planning. The news comes as Meta doubles down on AI infrastructure through its new "Meta Compute" initiative.
The Core
Gemini personalizes search with AI. The next territory isn't information—it's customers.
Google launches Personal Intelligence and connects your accounts to give answers based on your life, not generic internet. But the real leap isn't in smarter searches. It's applying that same AI to something more critical: your customers.
A CRM built with AI from the ground up researches leads, detects patterns in calls, automates complex workflows without code. What used to take teams now happens in the background. Dead data becomes active intelligence.
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The Headline
Nvidia halts H200 production after China customs block
Nvidia suppliers halted production of H200 AI chips this week after Chinese customs officials blocked shipments from entering the country, catching the chipmaker by surprise just weeks after the U.S. approved exports. Chinese authorities told a logistics company in Shenzhen that the processors are not permitted entry, offering no explanation whether this represents a temporary measure or permanent ban. The development forced parts manufacturers to pause operations immediately, with early shipments stranded in Hong Kong as confusion mounts over trade rules.
The timing compounds Nvidia's challenges in China, where the company expected more than one million orders for the H200. Suppliers had ramped to full capacity preparing for shipments as early as March. The U.S. had approved H200 exports in December under a unique 25% revenue-sharing tax arrangement, with chips required to route through American facilities for testing. But Beijing's sudden customs block has left manufacturers concerned about potential write-offs and Chinese clients reconsidering their purchases altogether.
Chinese officials separately warned domestic tech companies against purchasing the chips unless absolutely necessary, signaling Beijing's push toward domestic alternatives. Some Chinese buyers have already canceled H200 orders, spawning a black market for Nvidia's more advanced but banned B200 and B300 chips instead. The move places Nvidia squarely in the crossfire of escalating tech tensions, as Washington tightens semiconductor export controls while Beijing pressures local companies to reduce reliance on U.S.-designed processors.
The supply chain disruption threatens to reshape AI chip flows between the world's two largest economies. Manufacturing new chips from scratch could take nine months, leaving customers in limbo as geopolitical tensions override commercial approvals. With production lines already reassigned to other customers, Nvidia faces mounting pressure to navigate competing demands from both governments while Chinese firms accelerate development of homegrown alternatives.
The Edge
Turn novelty into your competitive advantage: How to use Claude Cowork to perform non-technical tasks
Open Claude Cowork on your laptop
Select a folder (Downloads, Notes, Project files, Screenshots, etc.)
Claude can now read what’s inside
Tell Claude what you want done
Claude edits, creates, and organizes directly in your files
You can use it to auto-organize your folders, create spreadsheets from screenshots, draft reports from scattered notes, and more
Productivity
5 Tools Worth Your Time
🗂️ Jungle AI: Generate flashcards with AI and learn faster.
🎬️ Boom: AI-powered video presentations that work with Zoom, Meet, and Teams. Go live or record and look professional without editing.
🤖 TurboScribe: Convert audio and video to text in 98+ languages with AI.
📄 Outlier: A platform connecting experts with AI training opportunities for paid, flexible work.
🖼️ LanguageTool: Grammar and style checker for over 30 languages, including rephrasing.
Ready to Use
Learn anything faster
Prompt: [SUBJECT]=Topic or skill to learn
[CURRENT_LEVEL]=Starting knowledge level (beginner/intermediate/advanced)
[TIME_AVAILABLE]=Weekly hours available for learning
[LEARNING_STYLE]=Preferred learning method (visual/auditory/hands-on/reading)
[GOAL]=Specific learning objective or target skill level
Step 1: Knowledge Assessment
1. Break down [SUBJECT] into core components
2. Evaluate complexity levels of each component
3. Map prerequisites and dependencies
4. Identify foundational concepts
Output detailed skill tree and learning hierarchy
~ Step 2: Learning Path Design
1. Create progression milestones based on [CURRENT_LEVEL]
2. Structure topics in optimal learning sequence
3. Estimate time requirements per topic
4. Align with [TIME_AVAILABLE] constraints
Output structured learning roadmap with timeframes
~ Step 3: Resource Curation
1. Identify learning materials matching [LEARNING_STYLE]:
- Video courses
- Books/articles
- Interactive exercises
- Practice projects
2. Rank resources by effectiveness
3. Create resource playlist
Output comprehensive resource list with priority order
~ Step 4: Practice Framework
1. Design exercises for each topic
2. Create real-world application scenarios
3. Develop progress checkpoints
4. Structure review intervals
Output practice plan with spaced repetition schedule
~ Step 5: Progress Tracking System
1. Define measurable progress indicators
2. Create assessment criteria
3. Design feedback loops
4. Establish milestone completion metrics
Output progress tracking template and benchmarks
~ Step 6: Study Schedule Generation
1. Break down learning into daily/weekly tasks
2. Incorporate rest and review periods
3. Add checkpoint assessments
4. Balance theory and practice
Output detailed study schedule aligned with [TIME_AVAILABLE]
Source: r/ChatGPTPromptGenius
Product Photography
Midjourney Prompt: an eye-catching label for "clay mask" with text, a white background, a minimalist design, A photograph of a cosmetic jar with a black lid floating on layers of white clay, a plain white background, a straight view, white clay forming waves in the air, a close-up of the jar against a foreground, a minimalist banner. --ar 3:4Whenever you’re ready to take the next step
AI won't replace you. Someone who knows how to use it will. This free 5-day course teaches you the essentials: effective prompts, automation fundamentals, and when agents beat workflows. Ready to level up?