Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...

Fleets have more driver data than ever, so why isn't behavior changing? Training requires more than reports and coaching — it requires real-world practice.

Researchers at The University of Osaka have developed and evaluated a new eight-week training program that enables psychology ...

In many production pipelines, RLHF (reinforcement learning from human feedback) is used as a structured governance mechanism that converts expert judgments into reward signals used to refine model ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Researchers from the University of California, Berkeley, and the University of California, Santa Cruz have found that leading ...

In the paper, “Emotion concepts and their function in a large language model,” published Thursday, the company’s ...

Leading AI models will inflate performance reviews and exfiltrate model weights to prevent “peer” AI models from being shut ...

The company’s Claude Mythos Preview model is remarkably good at harming or hijacking other systems. Anthropic’s first ...

Cognitive warfare is less about controlling territory and more about shaping perception. The objective is to gain an information advantage that translates into a decision advantage, influencing how ...

Meta's Muse Spark brings multimodal reasoning, health AI, and multi-agent orchestration to users via meta.ai and a private ...

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...