Google Unveils Personal Intelligence

Welcome to another edition of AI PlanetX.

Google upgrades Gemini with personal intelligence; AI builds a web browser in a week as OpenAI and Cerebras plan the world’s largest inference deployment.

• Hottest AI News

• Top AI & SaaS Tools

• AI Tutorial: Build Complete Course for Any Tool

• Top AI & Tech News

• AI Art Spotlight

• Resource of the Day: MIT Playbook for Machine Decision Making

• AI Video Tutorial

• Course of the Day: Document AI - OCR to Agentic Extraction

Hottest AI News

DeepMind

Google Gemini Upgrade Brings Personal Intelligence to Your Private Data

Google Gemini is receiving a major upgrade called “Personal Intelligence,” which uses the Gemini 3 models to work with your Gmail, Search, Photos, and YouTube history to provide personalized answers by reasoning across your data.

Details:

• Instead of just retrieving info, the AI can connect dots across apps without being asked. It might spot your car’s trim in an email, catch a license plate in a photo, and suggest tires based on trips in your image library

• Google says the model does not train directly on your inbox or photos, and has guardrails for sensitive health data. Still, it may miss nuance and link unrelated topics through “over-personalization”

• The feature is opt-in. It’s launching as a beta in the US for eligible AI Pro and AI Ultra subscribers. It may later expand to the F-R-E-E tier, more regions, and AI Mode in Search

As Google works to minimize mistakes and refine the accuracy of these personal insights, this update marks a significant shift toward an AI that truly understands the context of your digital life.

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Cursor

AI Built a Functional Web Browser in One Week Without Human Help

Cursor CEO Michael Truell just revealed a groundbreaking experiment where the team coordinated hundreds of GPT-5.2 agents to autonomously build a functional web browser from scratch in a single week.

Details:

• Running uninterrupted for 168 hours, the agents generated over 3 million lines of code across thousands of files, successfully maintaining context on a scale previously thought impossible for AI

• The rendering engine was built entirely from scratch in Rust, featuring a complete implementation of HTML parsing, CSS cascade, layout algorithms, text shaping, painting, and a custom JavaScript Virtual Machine

• While Truell admits the browser currently "kind of works" and is far from matching WebKit or Chromium parity, the team was astonished that it can already render simple websites quickly and largely correctly

This experiment signals a massive shift from AI as a coding assistant to AI as an autonomous software engineering team capable of executing long-horizon tasks.

Top AI & SaaS Tools

• kvitly (Life-time Deal): AI-driven all-in-one platform that builds and manages ecommerce websites, payments, content, and customer workflows

• Atoms: Turn ideas into sellable products in minutes using AI "employees" that validate ideas, build products, and acquire customers

• ChatGPT Translate: Enter text and receive translations between many languages, with AI‑powered output that preserves meaning and a natural tone [F-R-E-E]

• Rezzy: AI resume platform that customizes resumes for each job using models trained on successful resumes, recruiter insights, and LinkedIn wins [F-R-E-E]

• Perchance: Generate unlimited high-quality images with complete freedom—no account registration, no watermarks [F-R-E-E]

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AI Tutorial

How to Build a Complete Course for Any Tool in Record Time

Most people waste weeks jumping between random tutorials, outdated guides, and incomplete documentation when learning a tool for the first time. This tutorial shows a quicker, smarter way to build a complete course for any tool in a short amount of time.

1. Define Learning Objective

   Start by deciding exactly what you want to achieve with the tool.

   Be specific about your outcome so your research stays focused and efficient.

2. Let Gemini Do Research

   Ask Gemini to perform a deep search for the best educational YouTube content about the tool.

   Use a prompt like:

   “Find the most practical and beginner-friendly YouTube tutorials, walkthroughs, and full courses about [Tool Name]. Focus on real-world usage and current versions.”

3. Collect Knowledge Base

   Go to the company’s website and save all official learning material:

   • Documentation

   • Tutorials and guides

   • API references (if applicable)

   • Product blogs and updates

4. Extract Real-World User Knowledge

   Search relevant subreddits, forums, and communities related to the tool.

   Look for experienced users sharing workflows, advanced setups, and practical use cases that go beyond basic tutorials.

5. Build Knowledge Hub

   Upload all collected material into NotebookLM so everything lives in one place.

   You will then have a searchable, organized knowledge base built from the best resources on the internet.

6. Generate Full Course Curriculum

   Ask NotebookLM to build a complete learning path from beginner to expert:

   • Step-by-step lessons

   • Real-world projects

   • Practical workflows

   • Hands-on exercises

   This turns scattered information into a structured course.

7. Learn Through Personalized System

   You should have a complete curriculum built specifically for you.

   It follows real workflows, includes practical projects, and reflects best practices from power users — not generic theory.

Note: Don’t try to consume everything at once. Let the curriculum guide your learning path and follow it step by step.

Top AI & Tech News

• OpenAI and Cerebras signed a multi‑year deal to deploy 750 MW of Cerebras wafer‑scale systems starting in 2026, forming the world’s largest high‑speed AI inference deployment

• Chinese startup Zhipu released GLM-Image, an open‑source image generator trained entirely on Huawei hardware, but early tests look weak despite strong benchmark results

• ElevenLabs and Deutsche Telekom are rolling out AI voice agents to provide 24/7 customer support by app and phone, eliminating wait times

• Mira Murati’s AI startup Thinking Machines Lab has lost two co‑founders who are returning to OpenAI

AI Art Spotlight

Go to Nano Banana Pro, upload a selfie, and use the prompt below:

Paparazzi-style photo of a man with striking facial features, caught off-guard while turning toward the camera. Face and shoulders visible, shot from a slightly low angle. Strong harsh on-camera flash, grainy high-ISO, raw candid street-photography feel. Background shows a crowded scene with motion blur (Paris Fashion Week atmosphere). Intense, spontaneous energy, imperfect and real. He is wearing a designer suit with an open collar. Ultra-realistic, cinematic realism, high detail skin texture, slight lens distortion.
Reference the uploaded image for facial features, bone structure, and overall appearance.
Camera style: "35mm paparazzi lens, f/2.8, flash blown highlights"
Look: "2000s tabloid photo aesthetic"
Quality: "sharp focus on face, background heavily blurred and streaked"

Model: Nano Banana Pro

Resource of the Day

MIT’s 700-Page Playbook for Machine Decision Making

This MIT Press resource is a deep, practical guide to how machines make smart choices in uncertain environments. It walks the reader from the basics of probability and utility to real decision systems such as MDPs, reinforcement learning, POMDPs, and multi-agent games, showing how an AI can plan, learn from experience, handle partial information, and choose actions that best align with a goal over time.

Top AI Video Tutorial

Built an Animated Product Website in 10 Minutes Using AI

AI Course of the Day

Document AI: From OCR to Agentic Doc Extraction

This course shows how to build document processing systems that go beyond OCR to accurately extract structured data from PDFs and images. You’ll use LandingAI’s Agentic Document Extraction framework to preserve layout, tables, and context, then deploy the workflow as a serverless RAG application on AWS.