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DeepMind’s SIMA is groundbreaking because it doesn’t tap into a game’s internal structure or rule set. Instead, its knowledge base derives from extensive analysis of human gameplay footage paired with the explanations provided by data labelers.

What differentiates SIMA is its ‘generalist’ design. Google partnered with eight game developers to give SIMA access to a wide range of titles, ensuring the AI learns to grasp the core concepts of play within different virtual worlds. This exposure allows SIMA to follow instructions provided as simple text and interact with its environment as a human player might.

Researchers at the US Southwest Research Institute (SwRI) have developed camera-based autonomous driving tools that can work without deploying technologies like LIDAR and RADAR.

The technology can potentially deliver stealth capabilities for the military while finding applications in space and agriculture.

Modern autonomous driving solutions rely extensively on light detection and ranging (LIDAR) sensors to visualize objects around the vehicle. A software solution then identifies the objects nearby and helps the vehicle’s computer decide whether to halt or slow down.

Anthropic releases Claude 3 Haiku Claude 3 Haiku is three times faster than its peers for the vast majority of workloads, processing 21K tokens (~30 pages) per second for prompts under 32K tokens.

Anthropic releases Claude 3 Haiku.

Claude 3 Haiku is three times faster than its peers for the vast majority of workloads, processing 21K tokens (~30 pages) per second for prompts under 32K tokens.


Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems.