At MAICON 2026, Andrew Yang argued that accelerating AI will shrink demand for human labor and intensify inequality, and he pushed a universal basic income as a stabilizer. Here’s what that means for marketers and operators evaluating AI adoption now.
Generative AI is supercharging phishing, impersonation, and fraud while burying useful discussion on underground boards in low-value noise. Vendor research, government assessments, and reporting point to a market that is getting both more capable and more cluttered.
Cybercriminals Are Complaining About AI Slop in Cybercrime Forums Read Post »
New research connects market dynamics, hierarchical control, and workflow engineering to show how multi-agent systems learn and compete. Here’s what matters for pricing, marketplaces, and enterprise operations.
Games people — and machines — play: Strategic reasoning in multi-agent AI Read Post »
Agentic AI is shifting from task bots to persistent, policy-aware services that coordinate complex work. To ship reliable systems, teams need a co-designed stack spanning data, agents, orchestration, and runtime.
Building for the Rising Complexity of Agentic Systems with Extreme Co-Design Read Post »
Automated résumé screeners, video interviews, and personality tests now shape who gets in front of a human. Evidence shows these tools can misfire, replicate old biases, and create legal risk if employers don’t audit and explain their use.
When AI Hiring Bias Blocks Candidates From Interviews Read Post »
Multi‑agent AI ecosystems create new attack surfaces at the interaction layer, where cross‑agent trust, tool chains, and shared data can fail. Here’s how security teams can test and harden them.
Red‑teaming AI agent networks: testing emergent risks Read Post »
