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  • 🧠 Google presents breakthrough AI video generator

🧠 Google presents breakthrough AI video generator

PLUS: How to use Canva AI in ChatGPT

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Happy Thursday, AI enthusiasts!


  • 🧠 Google presents breakthrough AI video generator

  • 🔥 6 trending AI tools

  • 🤖 AI won’t take your job, yet

  • ⚡️ 5 quick and fresh AI updates

  • 🐦 How to use Canva AI in ChatGPT

Read time: 3 minutes


Google has presented Lumiere, an advanced AI video generator with impressive capabilities. This innovative tool, named in homage to the Lumiere brothers of early cinema fame, can create videos based on text descriptions or images as prompts.

  1. Text-to-Video Generation: Lumiere can generate video scenes solely from text descriptions, similar to AI image generators. Users can envision and bring to life various scenarios by describing them in text.

  2. Video Stylization: This feature allows users to upload source videos and make creative changes. For example, a person running can be transformed into a colorful toy made of bricks.

  3. Cinemagraphs and Video Inpainting: Lumiere offers options to animate specific sections of an image while keeping the rest static (Cinemagraphs) and to modify parts of the image to the user's preference (Video Inpainting).

Lumiere utilizes a unique "Space-Time U-Net architecture" that generates the entire video's temporal duration in a single pass, enabling better global temporal consistency compared to existing models.

For users, Lumiere will represent a significant advancement in AI video generation, providing more creative possibilities and a smoother video creation process. However, Google has not yet specified when or how this tool will be available for general use.


Artificial Intelligence online short course from MIT

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📸 Aragon AI: Get stunning professional headshots without the hassle! Never pay for a photographer again. (link)

🧠 Taped: Transform messy thoughts into organized notes. (link)

🤖 Build AI: BuildAI into your Business. In minutes. (link)

🎨 AdCreative.ai: Generate ad creatives that outperform your competitors. (link)

🚀 M1-Project: Craft your startup's winning marketing strategy with AI. (link)

🪄 Bonkers: Simplest ever text-to-image generator. (link)


A MIT study brings a fresh perspective to the debate on AI's impact on jobs, suggesting a slower-than-expected adoption of AI workforce.


  • Limited Economic Viability: Only about 23% of jobs are currently economically feasible for AI to replace, highlighting the cost-effectiveness of human labor over automation, especially in roles requiring computer vision.

  • Sector-Specific Adoption: Despite advancements, AI adoption is economically justifiable in a few sectors. High costs of AI systems make human labor more attractive for the majority of employers.

  • Future Outlook: The study projects a potential increase in automation, especially through AI-as-a-service models, which could make 40% of tasks automatable by 2030 due to cheaper data and improved AI efficiency.

Why it matters: at the moment, the fear that AI will quickly take our jobs is overstated. The MIT study shows a slow shift, not a sudden change. This gives us time to adapt, plan, and learn how to work with AI to improve our skills in the market. The future is about working alongside AI, finding new ways to innovate and be efficient. We should see AI as a helper for growth, staying flexible and proactive in using it to our advantage.


🐦️️ How to use Canva AI in ChatGPT


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