Meta’s New AI Breakthrough!

January 06, 2025

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🌟 Welcome to the Latest Edition of Thunderbolt AI! 🌟

Welcome to Thunderbolt AI! Today we will, discover how to turn static images into animated videos with Leonardo AI and Vidu AI, along with Meta’s groundbreaking shift to predictive AI recommendations. Let’s dive in!.

In this newsletter you will find:

  • AI System Predicts What You Need Before You Search

  • Convert still images into dynamic videos using AI

  • AI Tools

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AI SCHOOL

🎨How to Turn Static Images into Animated Videos?

By combining Leonardo AI for image generation and Vidu AI for animation, you can effortlessly transform still images into engaging animated videos.

Step-by-Step Process:

  1. Generate an Image with Leonardo AI:

    • Log in to Leonardo AI and navigate to the Image Creation section.

    • Enter a detailed prompt for the image you want to generate.

    • Example Prompt:
      "A lively and joyful beach scene on a hot summer afternoon, where a group of children is splashing and swimming in the crystal-clear ocean waves. They are wearing colorful swimwear, including swimsuits, swim trunks, and sun hats, suitable for a bright sunny day. Some children are laughing while running along the shoreline, while others are playfully diving into the waves. The golden sand glistens under the sunlight, and the sky is clear blue with a few fluffy clouds. The atmosphere is full of happiness and excitement, capturing the essence of carefree summer fun."

    • Click Generate and download the final image.

  2. Animate with Vidu AI:

    • Go to Vidu Studio and select Image to Video.

    • Upload the generated image and provide a prompt for animation (e.g., describe motion, scene depth, or transition effects).

    • Click Generate and let Vidu AI animate the image.

  3. Download & Share:

    • Once the animation is processed, download your AI-generated video and share it on your desired platform.

Pro Tip:

To make animations more stylized, include keywords like "3D characters, Disney Pixar style" in your prompt to achieve a cartoonish look rather than a photorealistic effect.

META

Meta’s Hybrid AI System Predicts What You Need Before You Search

What if AI could predict what you need before you even search for it? Meta’s latest research is pushing recommendation systems beyond traditional methods by generating user preferences instead of just retrieving stored data. This shift could change how AI personalizes content across platforms.ccessibility.

Image: Thunderbolt AI / Ideogram



Meta, the parent company of Facebook, Instagram, and WhatsApp, runs some of the most sophisticated recommendation systems in the world. Their latest research explores Generative Retrieval, a cutting-edge AI method that predicts the next best recommendation based on user behavior—without relying on massive stored embeddings.

Traditionally, recommendation engines use dense retrieval, which stores and compares item embeddings, requiring extensive storage and computational power. In contrast, generative retrieval predicts what comes next using an advanced transformer model, making recommendations faster, more scalable, and cost-efficient.

Feature Highlights:

🔹 Dense Retrieval vs. Generative Retrieval

  • Dense Retrieval: Finds similar embeddings from a massive database, requiring large storage and compute.

  • Generative Retrieval: Predicts user intent based on past interactions, reducing storage needs and improving efficiency.

🔹 How Generative Retrieval Works

  • AI assigns Semantic IDs (SIDs) to each item, encoding its context.

  • A transformer model predicts the next SID based on past interactions.

  • This eliminates the need for exhaustive database searches, keeping inference costs constant as data scales.

🔹 Meta’s Hybrid Model – LIGER

To tackle cold-start problems (new users or items with no history), Meta developed LIGER, a system that merges generative and dense retrieval:

  • Learns from both embeddings and user history.

  • Balances efficiency with ranking accuracy.

  • Handles unseen items better than pure generative retrieval.

Imagine watching Netflix and having it intuitively recommend a show based on your past reviews, not just watch history. That’s the power of Meta’s new approach—understanding why you like something rather than just matching it to similar items.

AI recommendations are entering a new era, one that focuses on prediction rather than retrieval. With LIGER and Mender, Meta is pushing the boundaries of scalable, personalized AI, paving the way for a more intelligent, cost-efficient recommendation ecosystem.

AI TOOLS

Enhance your productivity with these AI tools tailored for efficiency:

  • 🖥️ Gamma AI: Quickly generate compelling presentation decks, memos, briefs, and documents with Gamma AI, a GPT-4 powered app designed for creating engaging content that's easy to present live or share asynchronously.

  • ⚡ Hypertype AI: Increase your email efficiency tenfold with Hypertype AI, which analyzes relevant information from your or your company's emails and crafts personalized replies with a single click.

  • ✍️ Linguix AI: Enhance your writing productivity with Linguix AI, an AI-based writing assistant that corrects errors and typos while offering suggestions on grammar, punctuation, style, and human-like enhancements.

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