LongCat 2.0 is Meituan's 1.6T-parameter MoE model with a native 1M-token context, trained entirely on domestic AI ASIC ...

An agentic coding tool tasked with cloning and setting up a seemingly benign GitHub repository could execute a malicious payload that remains invisible to security scanners, AI agents, and human ...

Explore the Chinese open-source AI model challenging OpenAI and Anthropic with powerful coding abilities, agentic workflows, and frontier-level performance.

Microsoft has unveiled seven new artificial intelligence models at its annual Build developer conference, marking one of the company's biggest AI product launches and highlighting its growing efforts ...

Microsoft has announced a new family of seven artificial intelligence models under its Microsoft AI (MAI) division, marking one of the company’s biggest model launches to date. The announcement, made ...

Microsoft’s AI strategy for a while has just been betting big on OpenAI, shipping its models through Copilot, and reaping the profits. Now, things have become more complicated as Microsoft is creating ...

Coding tools are becoming an increasingly big target for Google and Microsoft as they try to catch Anthropic and OpenAI in the red-hot market. Microsoft is gearing up for coding-related announcements ...

May 28 (Reuters) - Microsoft (MSFT.O), opens new tab will unveil a suite of new homegrown AI models next week at its annual "Build" conference for developers in San Francisco, including a coding model ...

Anthropic PBC today opened access to Claude Opus 4.7, the latest addition to its popular line of large language models. The company says that the LLM is significantly better than its predecessor at ...

In short: Anthropic has released Claude Opus 4.7, its most capable generally available model, with benchmark-leading scores on SWE-bench Pro (64.3% vs GPT-5.4’s 57.7%), multi-agent coordination for ...

The Copenhagen-based health AI company built Symphony on peer-reviewed research from the largest medical coding study of its kind, treating coding as a reasoning task rather than a labelling problem.