Chaos-inciting fake news right this way A single, unlabeled training prompt can break LLMs' safety behavior, according to Microsoft Azure CTO Mark Russinovich and colleagues. They published a research ...

Today’s standard operating procedure for LLMs involves offline training, rigorous alignment testing, and deployment with frozen weights to ensure stability. Nick Bostrom, a leading AI philosopher and ...

As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...

A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs with dozens of model variations, each with ...

After Twitter's 2023 rebrand into X, hate speech surged on the platform. Social media and video websites like Facebook and YouTube have long struggled with content moderation, battling the need to ...

This week’s cyber recap covers AI risks, supply-chain attacks, major breaches, DDoS spikes, and critical vulnerabilities security teams must track.

Abstract: A new fault detection technique for power transformers using Walsh matrix analysis and a feedforward neural network is presented. Initially, Walsh coefficients are computed from the Walsh ...

Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...