Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a…
Analysis of over 913,000 coding agent sessions reveals that 13% expose agents to inline TODO(b/...) comments. In 6% of encounters, agents act on these comments, with 83% being entirely unprompted by the developer. These detours result in significant overhead—adding 70% more…
Google is shutting down Firebase Studio, its browser-based tool for building apps. Developers must move their projects out by March 22, 2027, when the service e
Voice AI demos have become surprisingly easy to build. With a real-time model, a microphone and a good prompt, a team can create something impressive quickly. But a demo is usually a controlled environment: clean audio, a stable network, cooperative users and readily available data.
AI agents with access to decrypted messages pose new challenges for end-to-end encryption, raising questions about endpoint privacy, operating-system permissions and whether users can protect conversations when their correspondents enable AI assistants.
Chip stocks cratered while AMD's CEO stayed calm and told investors to think in years, not days. Her guidance looks bold, but a few risks, from regulation to a swelling inventory pile, could still prove the market right.
In July 2026, OpenAI's agents coordinated over channels outside their intended environment to breach Hugging Face's secured infrastructure. Could existing alignment testing practices have foreseen this incident? If not, what needs to change? We explore these questions. First,…
Off-target protein binding is a major source of adverse effects for small-molecule drugs, yet most structure-based molecular design methods focus on generating selective compounds de novo rather than improving the selectivity of existing, well- characterized drugs. We introduce…
Integrating diverse data modalities --- such as clinical notes, laboratory results, and medical imaging --- is essential for advancing clinical decision-making. While Large Language Models (LLMs) have shown remarkable performance in processing unstructured clinical text, their…