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Hello again, human brain, and welcome back to your daily munch of AI news.

Here’s what’s on the menu today:

• Turn your videos into 3D worlds 📜

  Google Deepmind unveiled CAT4D.

• Beware Google’s AI 🤤

  Its AI overviews are a nightmare.

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Peep today's Spot the AI at the bottom. 👇

MAIN COURSE

Turn your content into 3D scenes🤯

Last week, Google Deepmind unveiled CAT4D. It’s an AI system that turns regular videos into 3D scenes.

What does it do?

It takes a video shot from one angle and generates views from many perspectives. Then it builds a dynamic 3D scene you can explore.

What makes it so special?

Before CAT4D, capturing multi-angle video required complex setups with many cameras. Now AI can create the same effect from a single video.

Is it any good?

CAT4D beats similar systems in quality, but still struggles with generating longer videos than the original input.

How could I use this?

You could make virtual worlds for video games, expand scenes for making movies/content, create AR apps that bring videos to life, and more.

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SIDE SALAD

Don’t trust the AI answers at the top of search results. 🤤

Hop on Google and search: Is 3/8 bigger than 5/16?

The search’s AI Overview incorrectly states 5/16 is bigger. It gaslights you like your narcissistic ex. Trauma. Emotional damage. 🥴 

Cue the meltdown on Reddit. Some folks say Google’s AI is “high” and “hitting the pipe.”

Why does it suck?

Large Language Models (LLMs) are trained on text patterns. They regurgitate stats, but don’t do math like we do. When in doubt about fractions, trust your 3rd grade teacher. Not Google’s AI.

It just one mistake, right?

Nah. We did an article on how Google’s AI told people to drink urine, eat rocks, and put glue in pizza.

YOUR DAILY MUNCH

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Think Piece 🧠

25 experts predict how AI will shape 2025. It will become embedded in systems, act as autonomous agents, perform complex tasks, revolutionize data analysis, and more.

Startup News 💰

Snap unveiled SnapGen AI. It generates 1024×1024 images on a phone in around 1.4 seconds using only 379 million parameters, outperforming much larger models like SDXL.

Research 👨‍🔬 

3DGraphLLM — uses a 3D scene graph with object-to-object semantic edges to create a compact, learnable representation of an indoor environment.

EnerVerse — introduces a chunk-wise future space generation method for robotic manipulation, merging high-level logic with sparse context memory.

MEMES FOR DESSERT

SPOT THE AI

3 of these are libraries. 1 is fake. 📖

Which one is AI-generated? 👇

Ideas? Comments? Complaints?

Respond to this email or hit me up on 𝕏.

Until next time 🤖😋🧠