Gemini gets Personal Intelligence

Welcome back, Superhuman. 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.

TODAY IN AI

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.

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FROM THE FRONTIER

We’ve been going about prompting all wrong — according to Google’s latest paper

The state of prompting. For years, the prevailing wisdom behind prompting AI models has been: more details + more context = better output. This thought process encouraged users to devise increasingly elaborate prompts to coax the best results from AI. But a new paper from Google Research suggests we might be overthinking it.

The “cheat code.” Just copy and paste your prompt so it appears twice. That's it. When tested across Gemini, GPT-4o, Claude, and DeepSeek (with reasoning mode off), this "prompt repetition" strategy won 47 out of 70 benchmark tests — with zero losses. On some tasks, accuracy jumped by up to 76 percentage points.

The science behind it. LLMs read left to right, meaning early tokens can't "see" what comes later in your query. By repeating the prompt, every token gets a second pass where it can “look back” at the full query to get more context that it might’ve missed the first time. The kicker? This strategy doesn't increase latency or output length, meaning it’s essentially a free way to get better results (learn more about how this works here).

Putting it in action. This doesn't mean you should abandon detailed prompts entirely — complex tasks still require complex instructions. But this research offers a surprisingly simple addition to your AI toolkit: when in doubt, say it twice.

THE AI ACADEMY

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

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IN THE KNOW

What’s trending on socials and headlines today

📝 15 Prompts: One Redditor has saved every great ChatGPT prompt they find for the past six months — here are the 15 more impactful prompts.

📹️ Character Swaps: Watch how easily AI video models can swap different actors into the same scene in this viral post (11M views).

📲 Reddit Trend: The latest viral trend is asking AI to “generate an image of how you treat it.”

👀 AI Visualized: A Wharton Professor turned Claude Code’s workflows into an animated video of office hustle.

🍌 Nano Banana Prompt: Use this Gemini prompt to visualize how new furniture might look in a room.

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PROMPT STATION

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 3:4

Whenever you’re ready to take the next step

• Check out our Top 125 AI Tools

• Get better at prompting with our Top 1,000 Prompts

• Learn how to use AI at work and get certified with our free course

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Until next time — Zain, Theodore, & the Superhuman AI team