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Musashi, the humanoid robots that drives autonomously

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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:

  • Robot chauffeurs? 🤖 🚗

    The University of Tokyo unveiled a driving humanoid robot.

  • Design websites with AI 👨‍💻 ✨

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MAIN COURSE

Robot chauffeurs? 🤖 🚗

Last week, University of Tokyo researchers published a paper on Musashi. It’s a humanoid robot that can drive autonomously.

What is it?

It’s a robot equipped with cameras, microphones, sensors, and more. Its AI learns the more it drives, reacts to its environment, obeys traffic lights, avoids hazards, and more.

How does it work?

It leverages artificial muscles to steer, push down on the pedals, and adjust its movements using feedback sensors.

Will it run me over?

In tests, Musashi braked when it saw a human, heard a car horn, and more. It checked side mirrors, pulled the handbrake when parking, used turn signals, and more.

What’s up with the car?

It’s called the COMS. It’s a tiny, electric car launched by Toyota in 2012. This one has a PC and a Wi-Fi router to power Musashi and run its recognition module.

So I can give up driving?

Nah. Musashi’s AI wasn’t trained on inclines. It struggles with maintaining a constant speed up hills, turning corners, and many other basic driving tasks.

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Think Pieces 🧠

Which iPhones can utilize Apple Intelligence? The new AI features require the latest hardware for optimal performance and security.

Startup News 💰

Anthropic released a blog post about standardizing Red Teaming. It also details insights from red teaming approaches used to test AI systems.

Tim Cook explains why Apple calls its AI Apple Intelligence. He claims it’s to focus on user benefits rather than the technology itself.

Research 👨‍🔬

The Prompt Report — An analysis of prompting methods with 98 techniques across text and other modalities to standardize and improve prompt engineering.

HUSKY — an open-source language agent for multi-step reasoning tasks that combines action generation and expert model execution to solve complex tasks.

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WHAT WOULD YOU DO?

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