This App Just Beat the System!

October 10, 2025

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Largest & Best AI Tools Directory

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Hello there, 

Hope you’re doing well! 

This week’s roundup brings you fresh AI tools, thought-provoking insights, and practical ways to make AI work for you. From comparing AI vs. Machine Learning to discovering how to build passive income with AI wall art, and even a peek into how AI “creativity” works, there’s something here for both learning and fun.

❝

Giving AI Systems Decision Making Power Is A Huge Step, And It Won’t Be Easy To Get That Done. Small Improvements Will Happen And Will Take Time.

JONATHAN FRANKLE

Top AI Tools

Youtube Video’s

Key Insights:

  • Choose a niche: abstract art, minimalism, motivational quotes, or trending designs.

  • Generate artwork with AI: tools like MidJourney, DALL·E, or Stable Diffusion.

  • Refine & format: edit with Canva/Photoshop, prepare print-ready sizes (8x10, 11x14, etc.).

  • List on Etsy as digital downloads: no shipping hassles, instant delivery to buyers.

  • Optimize for Etsy SEO: use keyword-rich titles, tags, and descriptions to rank higher.

  • Pricing strategy: competitive pricing + bundle offers to increase cart value.

  • Scale up: create multiple listings, follow trends, and reinvest earnings into new designs.

P.S. Here's today's news update a concise overview of the most significant stories and in-depth analysis shaping our world.

Latest News

Key Points

  • OpenAI’s Sora app reached 1M downloads in under five days, outpacing ChatGPT’s launch growth.

  • Released on September 30, the invite-only iOS app features a feed of AI-generated videos using the Sora 2 model.

  • Users can create clips and insert their likeness through a Cameos feature.

  • Early use shows memes, deepfakes, and some low-quality AI content.

  • Rapid growth raised copyright and moderation issues; rights holders now have more control, and users can set likeness preferences.

Memes For You

Guides

Learning Outcomes

  • AI is a broad field that mimics human intelligence for tasks like decision-making, problem-solving, and natural language processing.

  • Machine Learning (ML) is a subset of AI focused on algorithms that learn from data to improve predictions and performance.

  • Key differences include scope, goals, data dependence, learning models, and error handling methods.

  • AI handles complex tasks across robotics, NLP, and automation, while ML powers recommendations, spam filters, and pattern recognition.

  • Experts conclude ML fuels AI’s growth, but it is not separate from it; AI remains the broader, more impactful technology.

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P.S. We’ll be back with more tools and insights soon. Until then, let AI help you work smarter, not harder.

As today’s newsletter comes to a close, we hope these AI insights empower you to step into the upcoming week with clarity and ease. Don’t forget to share your favorite finds with friends, family, and colleagues! 🌿✨

For the latest AI scoops, follow us on X, LinkedIn and YouTube.

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