In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
In addition to your sword, you can make full use of the environment in large-scale arena battles, kicking buckets onto heads, ...
The idea of an always-on journey captures this reality. Decisions are shaped gradually, through signals, prompts, and small ...
Innovation fails when every pilot starts from scratch; the chassis approach shows how to move fast with vendors while keeping ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.
Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
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