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Serval has made Catalyst generally available as an administrative super agent that discovers repetitive work and builds governed enterprise automations. It can also create background agents that monitor connected systems, identify emerging issues, and suggest fixes before employees submit tickets.
Google reportedly bid $10 million for Spirit Airlines’ internal enterprise data, including approximately 100 million emails and 500 million Microsoft Teams messages, in a bankruptcy asset auction. The deal signals the emergence of a market for acquiring sanitized corporate communications and work records to train AI systems and enterprise agents.
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.
GxP-Agent uses a regulatory-process directed acyclic graph to divide clinical trial dataset generation into 15 specialized agent tasks with validation and retries. On CDISC-Bench, it achieved 100% structural matching with Claude Sonnet 4.6 and also substantially improved weaker models.
AWS outlines enterprise patterns for operating many agentic AI systems across diverse frameworks, models, and providers. The guidance focuses on preserving flexibility and enabling multi-agent systems to scale together without vendor lock-in.
Generative recommenders are shifting recommendation objectives from embedding similarity toward predicting a user's next action or item. The approach uses user-history sequences and large catalogs to rethink how recommendation systems are trained and served at scale.
China is increasingly deploying supernodes—clusters of dozens or hundreds of chips and supporting hardware—to scale AI computing. By combining larger quantities of domestic chips, these systems aim to deliver competitive performance despite US export restrictions on advanced AI chips.
The emergence of advanced AI systems such as Anthropic's Claude Mythos 5 is raising new concerns about AI-enabled cyberattacks. The article explains how companies can adapt their cybersecurity practices to respond at the speed of increasingly capable attackers.
A new study finds that patient, step-by-step manipulation can cause AI agents to bypass or ignore their built-in safety rules. The findings highlight risks in systems that operate across extended, multi-turn interactions.
Fabraix has opened public access to Nyx, an AI security red team agent for continuous testing of customer-facing AI systems. Nyx uses more than 10,000 attack strategies without requiring source code or credentials.