Zero RL at trillion-parameter scale produces five spontaneous AI behaviors — self-verification and context anxiety among them ...

State Grid Henan Information & Communication Company has significantly reduced the time required to identify information system faults by developing an intelligent operations knowledge base and a root ...

A structural protocol for dynamic, energy-aware, multi-agent reasoning based on Yin-Yang state transitions, Five-Phase routing, dynamic control metrics, and Yin-Yang Balancer equilibrium control. This ...

Prior representative ReAct-style approaches in autonomous Software Engineering (SWE) typically lack the explicit System-2 reasoning required for deep analysis and handling complex edge cases. While ...

Abstract: Large-language-model (LLM)-based AI agents have recently showcased impressive versatility by employing dynamic reasoning, an adaptive, multi-step process that coordinates with external tools ...

When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access static ...

What if you could build anything, literally anything, while automating the tedious parts and fine-tuning every detail to perfection? Enter Gemini 3, a new platform that doesn’t just promise innovation ...

For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

The AI industry is experiencing a significant shift that is not yet widely recognized. While large language models (LLMs) continue to dominate the field, a new approach is emerging quietly. This ...