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%, ...

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 ...

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 ...

Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets.

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 ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

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 ...

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

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 ...