In federal court, OpenAI cofounder Greg Brockman described tense 2017–2018 clashes with Elon Musk over control, funding, and the company’s structure. The testimony raises material governance questions for AI companies navigating mission, ownership, and power.
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 »
ServiceNow and NVIDIA are expanding their collaboration to build autonomous and semi-autonomous enterprise agents using open models and AI Factory reference designs, with a focus on secure, scalable deployment in regulated sectors.
ServiceNow NVIDIA autonomous AI agents: what the partnership delivers for enterprise IT 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 »
More than 1,000 Google DeepMind staff tied to London have backed a union drive centered on military AI ethics, policy changes at Google, and bargaining rights. Organizers are seeking CWU and Unite recognition and may pursue legal steps if talks stall.
DeepMind Unionization Over Defense AI. What Businesses Should Know 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 »
