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  • 🤖 Google's "Dear Sydney" fail | Meta's Video Segmenting | Jensen Huang Talks GAI🚨

🤖 Google's "Dear Sydney" fail | Meta's Video Segmenting | Jensen Huang Talks GAI🚨

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This week, we're diving into the fascinating world of AI with:

  • Google's "Dear Sydney" ad, which attempted to win hearts but fell flat mid-Olympics 🏅 - what went wrong? 🤔 

  • Video AI Gets a Boost: Meet Meta's SAM 2 Superstar, shining bright like a diamond in the rough! 💫 

  • Jensen Huang Talks Generative AI and more at SIGGRAPH (who came up with THAT acronym??) - get ready for a masterclass in innovation! 📚

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Google’s “Dear Sydney” ad falls flat mid-Olympics… 🧠🤖

Here's the Scoop

Google's latest ad, 'Dear Sydney,' has ignited a firestorm of criticism during the Olympics. The ad features a father using AI to help his daughter write a fan letter to Olympic gold medalist Sydney McLaughlin-Levrone. But viewers are calling foul, saying the ad promotes AI over genuine human expression. The backlash has sparked a wider debate about the role of AI in personal communication and creativity.

The Details

Here's a breakdown of the controversy:

  • Ad premise: The ad showcases a father using Google's Gemini AI to help his daughter write a fan letter to Sydney McLaughlin-Levrone.

  • Criticism: Viewers argue the ad promotes AI over genuine human expression, undermining the value of personal writing experiences.

  • Expert reaction: Media professor Shelly Palmer rejects the ad's vision, advocating for AI to enhance human skills, not replace them.

  • Author backlash: Prominent writers, including Will Leitch and Linda Holmes, have spoken out against the ad, highlighting the importance of authenticity in personal communication.

  • Google's response: The company has disabled comments on the ad's YouTube channel, likely to avoid further criticism.

📨 Who needs heartfelt emotions when you can have AI-generated sentiments?

Dear Sydney…

What This Could Mean

The backlash raises important questions about AI's role in creativity and personal expression. As AI becomes more prevalent, will we see a decline in genuine human connection? The controversy highlights the need for a thoughtful approach to AI's integration into our personal lives. One thing is clear: Google's ad has struck a sour note, and the debate is far from over. The implications of this backlash could be significant, influencing how tech companies approach AI marketing and the public's perception of AI's role in our lives.

Video AI Gets a Boost: Meet Meta's SAM 2 Superstar 🌟📺

Here's the Scoop

Meta has just introduced Segment Anything Model 2 (SAM 2), a cutting-edge AI model that can identify and track objects in videos in real time, marking a significant breakthrough in video AI.

The Details

  • Advanced video segmentation: SAM 2 extends Meta's previous image segmentation capabilities to video, addressing challenges like fast movement and object occlusion.

  • Real-time object tracking: The model can segment any object in a video and create cutouts in just a few clicks.

  • Free demo and open-source: A free demo is available, and Meta is open-sourcing the model and releasing a large, annotated database of 50,000 videos used for training.

  • Potential applications: Video editing, mixed reality experiences, and scientific research are just a few areas where SAM 2 could make an impact.

📹 Cutting-edge video editing, minus the cutting... and the edge.

Follow the little ball…

What This Could Mean

SAM 2's ability to track objects in real-time could revolutionize video editing, making complex tasks like object removal or replacement as simple as a single click. With this breakthrough, Meta continues its strategy of developing massive AI advancements while making them open and free to use. This could lead to a new wave of creative possibilities and innovative applications across various industries.

Jensen Huang Talks Generative AI and more at SIGGRAPH 🤖

Here's the Scoop

NVIDIA's CEO Jensen Huang took the stage at SIGGRAPH, a premier conference for computer graphics and interactive techniques, to discuss the transformative power of generative AI and accelerated computing.

The Details

  • NVIDIA's evolution: From its roots in computer graphics to its current focus on generative AI and simulation.

  • Key milestones: IBM System 360, Utah teapot, Ray tracing, programmable shading, GPUs, CUDA, RTX, and DLSS (Deep Learning Super Sampling).

  • Generative AI applications: Learning and generating diverse data types, personalized models for industries like advertising and robotics, and NVIDIA's Omniverse platform.

  • AI's role in future computing: Enhancing productivity, solving complex problems, and revolutionizing customer service, software programming, and chip design.

  • Challenges and future outlook: Addressing energy consumption and efficiency concerns, building data centers in locations with excess energy, and the importance of accelerated computing.

🤖 Generative AI: where creativity meets computation.

Every talk needs cool graphics…

What This Could Mean

Huang's talk highlighted NVIDIA's commitment to harnessing generative AI and accelerated computing to drive significant advancements in technology and productivity. As AI becomes an integral assistant in various industries, NVIDIA's innovations, such as Omniverse and DLSS, are poised to revolutionize fields like customer service, software programming, and chip design. However, addressing energy consumption and efficiency concerns will be crucial to realizing the full potential of these technologies.

AI Bites 🍪

Watch this, thank me later... 👀

Hungry AI or just self-aware…

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