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This AI Research Proposes an AI Agent Immune System for Adaptive Cybersecurity: 3.4× Faster Containment with <10% Overhead
ByRicardoCan your AI safety stack profile, motive, and neutralize a dwell safety risk in ~220 ms—and not using a central round-trip? A staff of researchers from Google and University of Arkansas at Little Rock define an agentic cybersecurity “immune system” constructed from light-weight, autonomous sidecar AI brokers colocated with workloads (Kubernetes pods, API gateways, edge…
Tracing OpenAI Agent Responses using MLFlow
ByRicardoMLflow is an open-source platform for managing and tracking machine learning experiments. When used with the OpenAI Agents SDK, MLflow automatically: Logs all agent interactions and API calls Captures tool usage, input/output messages, and intermediate decisions Tracks runs for debugging, performance analysis, and reproducibility This is especially useful when you’re building multi-agent systems where different…
AIAI Berlin, 2025
ByRicardoStream each session from AIAI Berlin, with classes from Mastercard, Delivery Hero, Berenberg, Oracle, Deutsche Bank and extra
Stanford Researchers Released AgentFlow: In-the-Flow Reinforcement Learning RL for Modular, Tool-Using AI Agents
ByRicardoTL;DR: AgentFlow is a trainable agent framework with 4 modules—Planner, Executor, Verifier, Generator—coordinated by an express reminiscence and toolset. The planner is optimized within the loop with a brand new on-policy methodology, Flow-GRPO, which broadcasts a trajectory-level consequence reward to each flip and applies token-level PPO-style updates with KL regularization and group-normalized benefits. On ten…
NVIDIA AI Researchers Release NitroGen: An Open Vision Action Foundation Model For Generalist Gaming Agents
ByRicardoNVIDIA AI research team released NitroGen, an open vision action foundation model for generalist gaming agents that learns to play commercial games directly from pixels and gamepad actions using internet video at scale. NitroGen is trained on 40,000 hours of gameplay across more than 1,000 games and comes with an open dataset, a universal simulator,…
15 Most Relevant Operating Principles for Enterprise AI (2025)
ByRicardoEnterprise AI is shifting from remoted pilots to production-grade, agent-centric techniques. The ideas beneath distill essentially the most broadly posted necessities and developments in large-scale deployments, based mostly solely on documented trade sources. 1) Distributed agentic architectures Fashionable deployments more and more depend on cooperating AI brokers that share duties as a substitute of a…
