Greg Brockman’s defense of an implied multibillion-dollar OpenAI stake spotlights a governance model that separates control from profit. Here’s how the nonprofit, capped‑profit, and Public Benefit Corporation setup works, and why it matters for employees, partners, and investors.
OpenAI ownership structure explained: Brockman’s stake, governance, and what’s at risk Read Post »
Reports indicate Anthropic’s high-capability cybersecurity model is being tested or used by the NSA while access remains tightly restricted. A vendor access incident underscores supply-chain risk and fuels policy debates about who should get powerful offensive security AI.
Anthropic Mythos cybersecurity AI: NSA testing, tight access, and vendor risk Read Post »
Investigations point to a coordinated pro‑AI political network powered by super PACs and 501(c)(4) nonprofits, bankrolled by major tech and crypto donors. The money and messaging infrastructure could amplify influencer-style campaigns while masking who pays.
Inside the AI industry dark-money campaign reshaping policy and narratives Read Post »
Court filings and reporting shed light on how Shivon Zilis maintained a confidential advisory channel with Elon Musk while serving on OpenAI’s board. Here’s what the record shows and why it matters for AI governance.
Inside the Shivon Zilis OpenAI insider role: texts, timelines, and governance risks 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 »
NVIDIA’s OpenClaw ecosystem, built on the open source NemoClaw stack and Nemotron models, points to a practical path for secure, cost-aware AI agents that run locally and tap frontier cloud models only when needed. Early case studies show sizable gains in verification, security operations, and commerce.
Nemotron Labs: What OpenClaw Agents Mean for Every Organization Read Post »
