Verified news, launches and analysis to understand what is changing in artificial intelligence and why it matters to you.
170 articles
Microsoft introduces Project Perception, an agentic security system that treats AI agents not controlled by their labs as risk vectors equivalent to malicious employees, integrating continuous assessment into Microsoft 365 E7.
vLLM's disaggregated inference architecture now incorporates a bidirectional KV cache transfer mechanism that reuses context across turns, significantly improving time to first token for agentic workloads.
The company has confirmed the creation of a fund receiving 5% of its shares, bringing the total commitment to 20% when combined with prior pledges from co-founders and employees. While the mechanism scales with valuation, experts warn that its actual veto power over technical decisions remains untested in the face of direct commercial conflicts.
Anthropic is consulting with law firms on how AI agents should negotiate on behalf of people. Available information does not identify the participating firms or detail agreed-upon rules, nor does it confirm how these guidelines will be integrated into Claude.
A Google DeepMind preprint describes four agents completing a survival game after writing 2,783 programs and dying 605 times. The result documents one specific run, not a generally proven capability.
V4.1-Flash-1017 improves on DeepSeek’s reported results for agentic tasks and lowers the observed cost per task in its DeepSWE evaluation. The company has also made Search and Fetch available through APIs; performance comparisons for the new checkpoint are, for now, internal evaluations.
The company has granted six researchers from the non-profit organization METR permissions equivalent to its own employees, marking a precedent in external verification of AI risks.
An interpretability study traces how attention and MLP layers contribute to detecting harmful requests and generating refusal signals in language models.
A new preprint presents a 20-task benchmark designed to measure the ability of coding agents to resolve faults in deployed applications, overcoming the limitations of traditional test repositories.
A preprint introduces a method that connects a speech encoder to a frozen LLM to answer closed-set questions via probability distributions over options, reducing latency in real-time voice agents.
Muse Spark Open is attributed with 816 billion parameters, 42 billion active parameters, and a one-million-token context window. However, the available primary documentation from Meta does not confirm this variant or official Apple Silicon optimization; local hardware requirements and performance also remain unverified.
Nemotron 3.5 Super VL is designed to interpret documents, charts, images, and video while supporting long-running tasks with tools. Available information confirms the launch and model scale, but it is insufficient to establish independent performance or the specific NVIDIA hardware required for each deployment.