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- 💫 Sunday Special Edition: Featured Stories on AI
💫 Sunday Special Edition: Featured Stories on AI
PLUS: 🧠 Sunday Special Academy

Hey AI Explorers,
Here’s what’s in store for you today:
✨SUNDAY SPECIAL EDITION
Featured Story: 🧠 AI Is Quietly Becoming Your Second Brain
Featured Story: 🌐 The Age of AI Is Being Built by Non-Techies
Sunday AI Academy - 🎭 Create personalized AI video avatars
This week in AI - 5 Summarised news on AI
FEATURED STORY
🧠 AI Is Quietly Becoming Your Second Brain
A silent transformation is underway — AI is no longer just a tool, it's becoming a thinking partner.
From students using NotebookLM to organize research to founders relying on custom AI agents to manage operations, artificial intelligence is now helping people think better, remember more, and make smarter decisions. It's not just about productivity — it's about augmenting cognition.
What’s changed? AI is now context-aware. It remembers your past inputs, adapts to your style, and even reminds you of things you forgot to ask. Whether it's tools like ChatGPT’s Study Mode, Rewind, or Mem, AI is evolving into a second brain — one that’s available 24/7, doesn’t forget, and can scale with your goals.
This shift unlocks deep value:
For knowledge workers, AI becomes your personal researcher.
For creators, it becomes your idea tracker and editor.
For teams, it’s the shared memory that everyone contributes to.
We’re moving beyond “AI for answers” to “AI for thinking.” And in that transition, the biggest winners will be those who learn how to think with AI — not just ask it questions.
🌐 The Age of AI Is Being Built by Non-Techies
You don’t need to know how to code to build with AI anymore — and that changes everything.
In the past, launching an AI product meant hiring engineers, managing infrastructure, and understanding complex ML models. Today, platforms like Lovable, Make.com, Relevance AI, and Google AI Studio are giving creators the power to build advanced workflows and tools using just prompts and visual blocks.
What does that mean?
A marketer can now build an AI that writes and schedules content across platforms.
A teacher can create a custom tutor for students in under 30 minutes.
An entrepreneur can launch a full MVP powered by AI without hiring a dev team.
The value here is massive: Time-to-build is 10x faster, costs are lower, and most importantly, the barrier to entry is gone. Now, ideas don’t wait on engineers — creativity becomes execution.
This wave of AI democratization is empowering millions. And if you’ve got an idea, you don’t have to wait for permission anymore. You just need to start building.
SUNDAY AI ACADEMY
🎭 Create personalized AI video avatars

In this tutorial, you will learn how to create AI-generated videos featuring yourself or any character by training an AI model with personal images and then animating them with natural speech using Google Veo 3.
Step-by-step:
Go to Freepik and create a new Character by uploading 12-24 varied images of yourself
Use ChatGPT to generate detailed scene prompts: “Provide a prompt where the character is in a studio holding a product. Do not describe the character’s appearance”
Back in Freepik, select your character, paste the prompt with your character's name, and generate in 16:9 format
Upload your image to Google Gemini’s Video tool and prompt: “Guy talks to the camera saying: [dialogue]”
Pro tip: Use varied images when training your character and be specific with dialogue prompts for the most natural-looking results.
THIS WEEK IN AI

🚗 1. Tesla Trains AI on Real Driving Footage for Next-Gen FSD
Tesla is doubling down on its vision-only Full Self-Driving (FSD) by training its AI on real-world driving data. Elon Musk confirmed this week that Tesla now processes over 100 million video clips daily, enabling richer edge-case handling. This comes ahead of FSD v12.4’s broader rollout.
→ Why it matters: It pushes Tesla closer to achieving fully autonomous driving without relying on LiDAR or radar.
🧠 2. Researchers Reveal Breakthrough in Multimodal AI Compression
A new study from MIT and Stanford demonstrates an AI architecture that compresses multimodal data (text, image, video) with far higher efficiency—cutting compute costs by up to 40%. This could allow future models to train faster, with fewer resources.
→ Why it matters: Smaller, smarter models may soon rival GPT-4 and Claude 3 in capability but cost a fraction to run.
📺 3. YouTube Experiments with AI-Generated Comment Summaries
YouTube has quietly started testing AI-powered comment summaries on select videos. The system groups similar user opinions and surfaces a short overview at the top of the comment section.
→ Why it matters: It helps creators and viewers scan feedback faster and could evolve into smarter moderation tools.
💼 4. IBM Rolls Out Watsonx Code Assistant for Enterprise Devs
IBM released a major update to its Watsonx suite this week with the Watsonx Code Assistant, aimed at enterprise developers. It supports COBOL-to-Java translation and secure code generation for regulated industries like banking and insurance.
→ Why it matters: Enterprises with legacy tech stacks can now accelerate modernization using AI without deep retraining.
🔍 5. Perplexity AI Crosses 10M Monthly Users, Launches “Pages”
Perplexity AI, the AI-powered search alternative, hit 10 million monthly users and launched “Pages”—a tool that lets users convert searches into visually rich, shareable articles. It's a direct challenge to Google and ChatGPT-style answers.
→ Why it matters: Signals growing demand for real-time, sourced AI knowledge versus black-box chatbot replies.
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