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GPT retires. Cards think. AI shrinks.
Also learn how to use Pictory app to turn text into videos
Hey there! Shinky here, making AI simple, useful, and powerful for you.
The model that sparked global debates, policy panic, and a wave of AI adoption is stepping off the stage. GPT-4, once hailed as a breakthrough, is now being retired to make way for faster successors. But as it exits, one question lingers: What legacy does a generational AI leave behind?
Today’s AI Menu
GPT-4 retires: Reflecting on the AI giant’s impact and enduring legacy
Tutorial: How to use Pictory app to turn text into videos?
5 new AI tools to boost your productivity
AI Daily Prompt
TODAY IN WORLD OF AI

Credit: Jake Warga via Getty Images
1. Footprint: The AI model that ignited both innovation and anxiety around the world is stepping aside. OpenAI’s GPT-4, the powerhouse that sparked urgent discussions in parliaments, tech boardrooms, and regulatory circles, is being officially phased out.
Launched in 2023, GPT-4 wasn’t just a product, it was a cultural moment. From rewriting how we search and code to challenging long-standing norms in education, writing, and even therapy, it pushed society to confront what AI could and shouldn't become.
But in the world of artificial intelligence, even giants are short-lived. Newer, faster, more scalable successors are now taking the lead. GPT-4’s departure isn’t a failure, it’s a milestone in a race defined by rapid evolution.
As we usher in the next generation of models, it’s worth asking: What does a legacy look like in a field where progress is exponential and attention is fleeting?
2. Swipe Savvy: Visa and Mastercard just dropped a bombshell: AI-powered shopping is here. Their new tools promise ultra-personalized, friction-free buying experiences, think of your credit card as your smartest shopping assistant.
3. Forge: Google Cloud and GFT are bringing AI to the factory floor. Their new suite of generative AI tools helps manufacturers detect defects, optimize workflows, and slash costs. It's not just smarter assembly lines, it’s Industry 4.0, now with a turbo boost.
4. Duel Core: Qwen’s latest Omni 3B model packs a punch and fits in your backpack. This dual-mode AI runs vision and language tasks with just 3 billion parameters and works on everyday PCs. Lightweight, powerful, and surprisingly accessible, it’s a true democratizer of high-performance AI.
5. IDfy: Sam Altman's Worldcoin is rolling out a sleek mobile identity verifier. The device scans your face and iris to prove you're, well, you no app needed. Privacy critics may squirm, but it’s a bold step toward solving online identity in the age of deepfakes.
Fundraising
1. Cement Tech: Queens Carbon just clinched $10M to reinvent cement with AI and climate in mind. Their low-carbon approach could slash emissions in one of the world’s dirtiest industries.
2. Data Gold: Structify just raised $4.1M to mine gold from the web’s chaos. Their AI turns messy, unstructured data into enterprise-grade intelligence.
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How to use Pictory app to turn text into videos?

▪️ Go to pictory.ai and log in
▪️ Click “Script to Video”
▪️ Paste your text or blog content
▪️ Choose a video style/template
▪️ Edit scenes, add visuals, voice-over, or music
▪️ Click Generate Video and download it
YOU TALK
What will you remember GPT-4 for? |
SPECIAL
Phi Nomenal: Microsoft’s tiny titan of AI

Image Credits: Jakub Porzycki/NurPhoto / Getty Images
Microsoft has unveiled Phi-4, a compact AI model that’s making a disproportionately big splash. Despite its smaller size, Phi-4 is delivering performance levels that rival much larger and more resource-intensive models and doing so with remarkable efficiency.
Think of it as the David of AI: lightweight, agile, and punching way above its weight in real-world benchmarks. Early evaluations show that Phi-4 handles reasoning, coding, and even language tasks with precision, while demanding a fraction of the computational muscle.
In a world chasing bigger, more expensive models, Phi-4 offers a compelling counterpoint: What if smarter AI didn’t have to mean heavier AI?
This could mark a pivotal shift toward cost-effective, scalable intelligence, where speed and size no longer come at the expense of performance.
AI PROMPT OF THE DAY
Prompt for liquidity stress test
Prompt: Design a liquidity stress test for a small business to evaluate its ability to handle cash flow challenges. Include scenarios like sudden revenue drops, delayed customer payments, increased expenses, and unexpected emergencies. Suggest key metrics to monitor (e.g., cash burn rate, current ratio, quick ratio) and provide a step-by-step process to model different stress levels and recommend actionable strategies to improve financial resilience.
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