From Assistants to Operators: The Rise of Task-Driven AI Agents
AI is evolving from assistant to operator — executing end-to-end…
When AI Starts to Decide – Governance Frameworks That Work
As AI systems gain autonomy, 2025 demands real governance frameworks—blending…
The New DevOps: Monitoring and Rolling Back Autonomous Agents
DevOps is evolving to handle AI agents in production —…
Orchestrating Autonomy: Lessons from Deploying Agentic AI Safely
Deploying agentic AI safely in 2025 means orchestrating intelligent agents…
Why 2025 Will Be the Year of Multi-Agent Systems in Production
2025 will be the breakout year for multi-agent AI systems,…
From Prompt to Plan: How Agentic AI Is Redefining Software Workflows
Agentic AI is transforming software workflows by turning simple prompts…
Adversarial Intelligence: How Counter-Drone AI Uses Computer Vision Attacks Against Autonomous Weapons
AI-powered counter-drone systems now use computer vision attacks to deceive…
Why the semantics matter—and how armed forces are quietly shaping the ethics of algorithmic warfare
Militaries claim to keep humans in control of autonomous weapons—but…
Why the upcoming 2025 decision could redraw the rules of war and reshape military AI development
The UN's first vote on a legally binding autonomous weapons…
Open-Sourcing Frontier Models: Pros, Cons, and the New Licensing Wrinkles in AI
Open-sourcing frontier AI models accelerates innovation but raises safety concerns.…
Metrics That Matter: From FLOPS to Model-Specific Energy Scores in the AI Race
As AI grows, FLOPS are no longer enough—energy, latency, and…