Hello and welcome to another episode of AI Tech News Today! It's January seventh, two thousand twenty-five, and we're here to bring you some exciting updates from the world of artificial intelligence. Let’s dive right in!

Nvidia launches Cosmos WFMs to advance AI simulations. Nvidia has released Cosmos Workflow Models, aiming to revolutionize industries, including robotics and autonomous vehicles, by generating controllable, high-quality synthetic data. This tool allows developers to create simulations for training AI systems, enhancing research and development across various sectors.

Google DeepMind develops AI "world models" to advance AGI and robotics. In a move toward artificial general intelligence, Google DeepMind is assembling a specialized team focused on creating sophisticated simulations of physical environments. These world models will support applications in gaming and robotics, paving the way for significant advancements in both fields.

Nvidia GeForce RTX 50 series GPUs deliver two times AI-powered performance. With enhancements like Deep Learning Super Sampling Four and RTX Neural Shaders, Nvidia's latest gaming GPUs promise to redefine gaming and creative workflows, offering impressive performance boosts for developers and gamers alike.

Nvidia and Apple Vision Pro help robots learn through imitation. By leveraging the power of Apple Vision Pro, Nvidia is driving advancements in robotic education. This collaboration aims to enhance how robots learn from their environments, making it easier for them to replicate human actions and improve performance.

Intel unveils Core Ultra Chips with AI boost. At the Consumer Electronics Show, Intel introduced its new Core Ultra Series 2 chips. These processors are designed with AI capabilities and faster graphics, promising better performance and enhanced power efficiency for everyday computing tasks.

And that’s a wrap for today’s AI news! If you enjoy keeping up with the world of artificial intelligence, don’t forget to subscribe for more updates. We'll see you next time, and until then, stay curious!

Nvidia and Google DeepMind Unveil Groundbreaking AI Technologies to Transform Robotics and Gaming Industries

In this episode of Bit & Being, we present an analysis of research from Harvard and MIT that questions whether AI models, particularly Large Language Models (LLMs), genuinely understand the underlying "world models" of the data they process, or if they merely predict patterns. The researchers conducted an experiment training a transformer model on planetary orbital trajectories to see if it could not only predict future positions (Kepler-like ability) but also deduce the gravitational forces (Newton-like understanding). The study concluded that AI models, even advanced commercial ones, fail to learn generalizable physical laws and instead develop brittle, non-physical heuristics that are only sufficient for the specific prediction tasks they were trained on. This suggests that LLMs currently lack deep understanding and emergent intelligence, highlighting a significant limitation in their current capabilities.

Bit & Being - The Kepler Trap: When AI Mimics Understanding

What happens when AI stops guessing, - and starts reasoning? In this episode, we dive into the groundbreaking shift from brittle automation to fluid intelligence, exploring how Model Synthesis Architecture (MSA) and mini-world models are redefining what AI can do. Join us as we unpack this hybrid approach that merges neural networks with symbolic logic, bringing adaptability, transparency, and human-like decision-making into real-world applications. From supply chains to healthcare, discover how the next generation of AI isn’t just smarter, - it’s more trustworthy.

New tracks tagged #World Models