AI Agents

Researchers identified a simple way to mislead autonomous agents based on large language models.

Google revamped its roster of models, closed and open, and added more AI-powered features to its existing products.

Anthropic continued its tradition of building AI models that raise the bar in coding tasks.

OpenAI launched an agentic software-development system.

AI agents and infrastructure made a strong showing on CB Insights’s latest list of the top 100 AI startups.

OpenAI embraced Model Context Protocol, providing powerful support for an open standard that connects large language models to tools and data.

An AI agent synthesizes novel scientific research hypotheses. It's already making an impact in biomedicine.

Anthropic’s Claude 3.7 Sonnet implements a hybrid reasoning approach that lets users decide how much thinking they want the model to do before it renders a response.

Replit, an AI-driven integrated development environment, updated its mobile app to generate further mobile apps to order.

Browsing the web to achieve a specific goal can be challenging for agents based on large language models and even for vision-language models that can process onscreen images of a browser.

OpenAI introduced a state-of-the-art agent that produces research reports by scouring the web and reasoning over what it finds.

Even cutting-edge, end-to-end, speech-to-speech systems like ChatGPT’s Advanced Voice Mode tend to get interrupted by interjections like “I see” and “uh-huh” that keep human conversations going. Researchers built an open alternative that’s designed to go with the flow of overlapping speech.

As Anthropic, Google, OpenAI, and others roll out agents that are capable of computer use, new work shows how underlying models can be trained to do this.

OpenAI introduced an AI agent that performs simple web tasks on a user’s behalf.

In 2025, AI will have learned to see, it will be way smarter and more accurate, and it will start to do things on your behalf.