⚡ Nvidia Intelligence Factories

PLUS: Build Your Own TV Series

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The competition between Nvidia and AMD heats up with their latest AI chip announcements. Nvidia Rubin AI platform introduces ultra-fast memory, while AMD unveils an ambitious roadmap to challenge its rival. This rapid evolution in hardware will shape the future of AI technology.

Today’s Summary:

  • Nvidia and AMD announce new AI chips

  • Create personalized shows with Showrunner AI

  • Stanford AI mimics brain visual system

  • Sony plans AI for movies and TV

  • Stable Diffusion 3 image model release

  • 3 new tools

TOP STORY

Nvidia and AMD Unveil Next-Generation AI Chips

The Summary: At the Computex tech conference in Taipei, Nvidia and AMD revealed their latest AI chip innovations. Nvidia CEO Jensen Huang introduced the next-generation Rubin AI platform for 2026, featuring HBM4 ultra-fast memory. Meanwhile, rival AMD boosted its AI processor lineup in a bid to compete.

Image: Nvidia

Key details:

  • Nvidia Rubin AI architecture will succeed Blackwell in 2026 and use HBM4 high-bandwidth memory

  • Nvidia announced yearly upgrades, including Blackwell Ultra in 2025, aiming for continuous innovation

  • AMD fast-tracked impressive chip releases MI325X, MI350, MI400 through 2024-2026 to challenge Nvidia

  • AMD targets $4 billion in 2024 sales, while Nvidia sales exceed $100 billion

Why it matters: The competition between the chip giants will shape the future of AI technology. Nvidia is strengthening its lead while AMD rushes to catch up. The rapid pace of innovation shows the immense opportunities ahead in the AI era, and a shift in computing paradigms.

“We are about to see another tectonic shift in computing, where everything changes once again”

Jensen Huang, Nvidia CEO
ENTERTAINMENT

Build Your Own TV Series with Showrunner AI

The Summary: Fable Studio has unveiled Showrunner, an upcoming AI streaming platform that lets viewers create personalized animated shows with prompts. Users can control elements like dialogue, characters, and shot types while the AI handles writing, voicing, and animation. Subscribers can go from watching shows to generating their own episodes. The technology blurs the lines between creators and consumers, leading to debate over AI impact on entertainment.

Image: Showrunner

Key details:

  • Allows users to generate animated episodes from text prompts

  • 10 initial shows across genres like horror, anime, and satire

  • Users can control story, animation, style, and more

  • AI handles writing, voicing, animation

  • Builds on Fable’s previous AI content experiments

  • Aims to be "the Netflix of AI"

  • Currently on waitlist

Why it matters: The announcement is a significant milestone in AI applications to the entertainment industry. It allows viewers to become producers without needing extensive resources. At the same time, the platform raises concerns about the labor of human creators. As the technology evolves, it could disrupt traditional production pipelines, redefining how entertainment is conceived and consumed.

RESEARCH

AI Breakthrough Mirrors Brain's Visual Organization

The Summary: After seven years of research, a team at Stanford has created an AI model that mimics how our brain processes and organizes visual information. This model, called TDANN (Topographic Deep Artificial Neural Network), arranges itself like the human brain visual cortex. It's like an artificial brain that learns to process images much like our own brains do.

Source: Stanford

Key details:

  • TDANN arranges virtual neurons on a 2D sheet, requiring nearby neurons to share similar visual responses

  • This forms spatial maps similar to those in the brain visual system

  • The model replicates complex patterns, such as neuron clusters for faces and places

  • Self-supervised learning improved the model's accuracy in simulating brain responses

  • Findings were published in the journal Neuron

Why it matters: This approach has implications for both neuroscience and AI. For neuroscientists, TDANN offers a new way to study the visual cortex, potentially leading to new treatments for neurological disorders. For AI, insights from brain organization could inspire new visual processing systems that "see" like humans and are more energy-efficient. Moreover, virtual studies of the brain using TDANNs could help advance medical technologies like vision prosthetics to restore functional vision.

QUICK NEWS

Quick news

TOOLS

🥇 New tools

  • Eve Coach - Your AI partner in managing work related stress

  • Exactly.ai - Ethical AI for creators. Train a personal AI on your own artwork.

  • Layerpath - Create interactive step-by-step demos in minutes

That’s all for today!

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