The goal should be purposeful integration: using records to improve context for education, navigation, and appropriate escalation—without presenting the tool as a substitute for professional judgment.

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...

President Vladimir Putin signed into law a new measure giving Russia's main domestic intelligence agency new power to shut down the Internet inside the country. The legislation, signed into law on ...

Hi, I find that when doing full parameter finetuning (FFT) for RL training in verl often leads to suboptimal performance, especially when using learning rate=1e-6 which are widely used in the recent ...

From litigation to federal prisons to criminal investigations, artificial intelligence appears to have touched nearly every corner of the Department of Justice in the past year. Just two years ago, ...

This is Washington Edition, the newsletter about money, power and politics in the nation’s capital. Every Monday, Bloomberg Intelligence senior analyst Nathan Dean gives his insights into what’s been ...

Meta has now rolled out the "Build Your 2026 Algorithm" feature for Instagram Reels to allow users use it to personalize their feeds. Instagram Reels 'Build Your 2026 Algorithm' Now Live After a test ...

One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly, exactly the way you want it.’ With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...