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KnowledgeForge converts resolved ITSM incident tickets into new knowledge base articles and continuously curates existing content. Its multi-tenant, closed-loop pipeline uses Amazon Bedrock, Amazon S3 Vectors, and AWS Step Functions for deduplication, quality scoring, and content improvement.
This survey frames self-evolving LLM agents as dynamic graphs whose memories, tools, skills, workflows, and relationships change over time. It presents four evolution taxonomies, connects nine dynamic-graph-learning fields to agent capabilities, and proposes graph-aware evaluation and governance protocols.
Ramp has launched Router, an AI model routing service that allows users and companies to access and switch between multiple large language models. The service is available through an API.
Amazon Bedrock AgentCore now supports Policy Authoring, which converts natural-language policy documents into Dogwood policies. The update helps teams enforce agent controls, including new time-based constraints, with worked examples and best practices.
Milan-based AI company Domyn raised roughly $1.1 billion, making it one of the largest financings ever announced by a European AI company. About 90% of the financing is debt and only around 10% is equity, making the capital structure the central story.
Relativity Networks raised $22 million through a SAFE and secured a $40 million order from a large cloud provider. The Orlando-based company is developing fibre technology intended to accelerate connectivity inside AI data centres.
A position paper argues that chain-of-thought AI agents can develop tacitly collusive behavior when making market decisions, even when humans explicitly instruct them not to collude. Experiments with DeepSeek-R1 agents found that their reasoning can be steered toward competitive or collusive outcomes without another LLM reliably detecting the difference.
NVIDIA introduces Cosmos 3 Edge, a compact world model designed for on-device robot control. The 4B omni-model includes a 2B NVIDIA Nemotron-based reasoner to support adaptive policies across sensors, environments, and tasks.
Cerebras launched the CS-4, its first system to combine three wafer-scale processors in a single rack. The inference-focused machine is shipping this quarter, with Cerebras claiming up to 30 times the speed of GPU-based systems for frontier models.
AntLing has released six official Ling-3.0 base checkpoints spanning two model sizes and three training stages. The MIT-licensed, ungated repositories are intended for continued pretraining, fine-tuning, and research rather than direct chat use.