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Good morning, human brains, and welcome back to your daily munch of AI news.

Here’s what’s on the menu today:

• Supercluster or super bluster? 🦾 🤖

  Elon Musk announced xAI's Memphis Supercluster.

• Weather wizardry or climate con? 🌦️ ⚡️

  Google researchers unveiled NeuralGCM.

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Peep today's ‘What Would You Do?’ at the bottom. 👇

MAIN COURSE

Supercluster or super bluster? 🦾 🤖 

On Monday, Elon Musk announced xAI's Memphis Supercluster. It's “the most powerful AI training cluster in the world.”

What happened?

xAI launched the Memphis Supercluster. It’s made up of 100,000 liquid-cooled Nvidia H100 GPUs.

Is it really the best in the world?

It outguns the world’s most powerful supercomputers, like the Frontier (37,888 AMD GPUs), Aurora (60,000 Intel GPUs), and Microsoft Eagle (14,400 Nvidia H100 GPUs).

What’s the point?

Grok 2.0 is finished training and will be released soon. Musk aims to create Grok 3.0, the “world's most powerful AI by every metric,” by December 2024. He also mentioned Tesla's plans for humanoid robots in “low production” next year.

So, what?

All eyes will be on the Grok 2.0 release and the development of Grok 3.0. December 2024 could be a defining moment for xAI and the AI industry as a whole.

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SIDE SALAD

Weather wizardry or climate con? 🌦️ ⚡️

On Monday, Google researchers unveiled NeuralGCM. It's an AI-powered weather and climate model that combines machine learning with traditional physics-based modeling.

What's the deal with NeuralGCM?

NeuralGCM claims improved accuracy for 1-10 day forecasts. It boasts massive efficiency gains over current atmospheric models, runs on everyday hardware (not just supercomputers), and is open-source.

Why do I care?

NeuralGCM's efficiency could revolutionize our ability to simulate complex climate scenarios quickly and accurately. This could lead to more informed climate action and better resilience planning.

YOUR DAILY MUNCH

Think Pieces 🧠

How will we plan for the future of AI? We need to plan for potential advancements, disruptions, and more despite uncertainties about its trajectory.

Startup News 💰

Stability AI released Stable Audio Open. It’s an open-source text-to-audio model that generates high-quality stereo audio from text prompts.

Research 👨‍🔬

EVLM — a vision-language model using cross-attention and hierarchical ViT features to reduce computational costs for image/video captioning task.

ChatQA 2 — extends Llama3's context window to 128K tokens, achieving GPT-4-Turbo-level performance in long-context tasks.

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Until next time 🤖😋🧠