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🔍️ X’s New Privacy Policy: Monetizing User Data
🤖 Boston Dynamics and Toyota Team Up for Humanoid Robots
Jaeden Schafer
October 18, 2024
Welcome to AI Box, your weekly source for the latest developments in AI technology and applications.
Today's AI News lineup: 🥊
🔍️ X’s New Privacy Policy: Monetizing User Data
🤖 Boston Dynamics and Toyota Team Up for Humanoid Robots
🚗Game-Changer in Vehicle Obstacle Detection: New Camera System Unveiled
🔍️ X’s New Privacy Policy: Monetizing User Data
X (formerly known as Twitter) has updated its privacy policy to remove previous limits on user data retention and allow third parties to possibly train AI models with user data. Users would need to opt out in order to prevent this.
In a move to monetize X's user data, the privacy policy now has a "Liquidated Damages" section that places liability onto any organization scraping its content, charging $15,000 USD per 1 million posts in a 24-hour period. The new privacy policy goes into effect November 15th.
X/Twitter. changed its privacy policy. Data may be used to train AI models of various types, including generative. x.com/en/privacy
— Lukasz Olejnik (@lukOlejnik)
5:14 AM • Oct 17, 2024
🤖 Boston Dynamics and Toyota Team Up for Humanoid Robots
Boston Dynamics and Toyota Research Institute (TRI) have announced a partnership to add AI-based robotic intelligence to the Atlas humanoid robot through the use of TRI's large behavior models.
This collaboration could lead to progress in developing a robot capable of learning and completing tasks with human-level intelligence, or even beyond that.
🚨 BREAKING:
@BostonDynamics and @ToyotaResearch (TRI) have teamed up to advance humanoid robots, focusing on fundamental research rather than commercial goals.
Boston Dynamics' Atlas robot offers impressive physical capabilities, while TRI brings AI expertise to enhance robot… x.com/i/web/status/1…
— Lukas Ziegler (@lukas_m_ziegler)
7:04 AM • Oct 17, 2024
🚗Game-Changer in Vehicle Obstacle Detection: New Camera System Unveiled
Researchers at the University of Zurich have developed a hybrid camera system that dramatically improves obstacle detection speed for vehicles, potentially enhancing safety for both human drivers and autonomous vehicles.
The new system combines a bio-inspired event camera with traditional imaging, achieving obstacle detection up to 100 times faster than current technologies. This can be scaled to multiple cameras and may integrate with LiDAR sensors to further improve autonomous driving capabilities.
Eye-mimicking AI car camera detects pedestrians, obstacles 100x faster
— Interesting Engineering (@IntEngineering)
4:30 AM • Oct 17, 2024
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