AI Agents

The inner workings of the popular coding agent Claude Code are available for all to see.

When processing long contexts, large language models often lose track of details or devolve into nonsense. Researchers reduced these effects by managing context externally.

OpenAI partnered with Amazon to build infrastructure for agents on the world’s largest cloud platform, a further sign that its close relationship with Microsoft is weakening.

LLMs have achieved gold-medal performance in math competitions. An agentic system showed strength in mathematical research as well.

Managers need to understand how their subordinates get work done, what resources they require, and what they accomplish. OpenAI’s latest product aims to fulfill this need when the teammates are AI agents.

Anthropic updated its flagship large language model to handle longer, more complex agentic tasks.

AI is becoming ubiquitous, yet no standards exist for auditing its safety and security to make sure AI systems don’t assist, say, hackers or terrorists. A new organization aims to change that.

AI models that diagnose illnesses typically generate diagnoses based on descriptions of symptoms. In practice, though, doctors must be able to explain their reasoning and plan next steps. Researchers built a system that accomplishes these tasks.

An open source vision-language model unleashes minion agents that enable it to perform tasks more quickly and effectively.

The OpenClaw open-source AI agent became a sudden sensation, inspiring excitement, worry, and hype about the agentic future.

Google introduced an open-source protocol designed to enable AI agents to help consumers make purchases online, from finding items to returning them if necessary.

Apple cut a multi-year deal with Google to use Gemini models as the basis of AI models that reside on Apple devices.

Chain-of-thought reasoning can help autonomous vehicles decide what to do next.

A high-profile acquisition could enable Facebook, Instagram, and WhatsApp to offer built-in agents that do users’ bidding.

What do users want from AI? The answer depends on when and how they use it, a new study shows.