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Look out for deepfake videos

Author

Hunter Kallay
March 20, 2025

In partnership with

FryAI

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Today’s Menu

Appetizer: Grok will soon generate videos 🎥

Entrée: Nvidia announces new chips to power next gen AI 💾

Dessert: Google uses AI for drug discovery 💊

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GROK WILL SOON GENERATE VIDEOS 🎥

Elon Musk is officially a hot-shot. 💁‍♂️

What’s up? Elon Musk’s AI company, xAI, has acquired Hotshot, a San Francisco-based startup known for its AI-powered video generation tools. 

Want the details? Hotshot, co-founded by Aakash Sastry and John Mullan, initially focused on AI photo editing but later shifted to developing advanced text-to-video models. Over the past two years, the team built three major video models: Hotshot-XL, Hotshot Act One, and Hotshot. In a post on X (above), Sastry shared excitement about joining xAI, saying the move will allow their technology to scale using xAI’s powerful computing cluster, Colossus. The financial details of the acquisition have not been disclosed. Musk has hinted that a “Grok Video” model might launch soon, integrating video capabilities into xAI’s Grok chatbot. This partnership could play a major part in making that happen.

Why should you care? Grok is one of the few models that allows people to create realistic images resembling real people, which has led to deepfake concerns. Once these turn into realistic videos, all bets are off!

NVIDIA ANNOUNCES NEW CHIPS TO POWER NEXT GEN AI 💾

I could never take a job at Nvidia. The people there are way too graphic. 😆

What’s up? Nvidia unveiled new chips designed to “power the next generation of artificial intelligence.” CEO Jensen Huang announced two major releases: Blackwell Ultra, set to ship later this year, and Vera Rubin, expected in 2026.

Blackwell Ultra: This chip focuses on speed and efficiency. It can generate more AI content—like text, images, or answers—in less time, making it ideal for companies needing quick, high-quality output. It’s particularly suited for advanced AI models that require “reasoning,” meaning they can figure things out step by step rather than just providing basic responses. Blackwell Ultra will come in several versions: a standalone GPU (called B300), a version paired with Nvidia’s own CPU (GB300), and large-scale configurations where up to 72 GPUs work together. This flexibility allows cloud providers like Microsoft and Google to build faster, more powerful data centers.

Vera Rubin: These chips are designed for even more demanding AI tasks. Vera Rubin combines Nvidia’s first custom CPU (called Vera), which is twice as fast as its predecessor, with the Rubin GPU, capable of handling massive amounts of data and memory. The Rubin GPUs can be linked together, starting with two GPUs per system and scaling up to four in future versions, providing unmatched processing power. This setup is ideal for developers pushing the boundaries of complex AI systems, offering greater speed, flexibility, and scalability.

GOOGLE USES AI FOR DRUG DISCOVERY 💊

Image: Google

AI is doing drugs now. 🤨

What’s going on? At a health-focused event in New York, Google announced a new project aimed at speeding up drug discovery.

What is the point? Called TxGemma, this collection of AI models is designed to help researchers better understand chemicals, molecules, and proteins—key ingredients in developing new medicines. Google says the models, which will be available later this month through its Health AI Developer Foundations program, can process both everyday language and complex scientific data.

Why is this significant? Creating new drugs is a long, expensive process. TxGemma is meant to help researchers predict how safe or effective a potential drug might be, making development faster and more efficient. While AI has yet to deliver a significant breakthrough in the lab, interest remains strong. Big pharmaceutical companies and investors continue to bet on AI’s promise, with over 460 startups and $60 billion already invested in AI-driven drug discovery.

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