Field notes from the edge.
What our engineers learned this week. Hands-on technical deep-dives, postmortems, and strategy frameworks.
AIBernie Sanders’ AI Sovereign Wealth Fund Plan
Bernie Sanders proposes creating a US sovereign wealth fund by taking 50% stakes in major AI companies to establish democratic control and redistribute AI-generated wealth. Critics argue this approach would entangle corporate profit with public interest, potentially incentivizing government to favor corporate interests over regulation. Alternative solutions include taxation mechanisms and an 'AI P
AIAI Risk Worries Insurers and Businesses Alike
Insurance companies are grappling with how to handle AI-related risks as enterprise adoption accelerates, with some insurers excluding AI coverage entirely while others work to develop appropriate risk frameworks. The challenge lies in determining which AI risks can be reasonably underwritten and managed given the technology's evolving nature and uncertain liability landscape.
AIHSCC Issues Guidance on Cyber Governance Frameworks for Secure AI implementation
The Health Sector Coordinating Council (HSCC) has released comprehensive guidance to help healthcare CISOs establish cybersecurity governance frameworks for secure AI implementation. The 87-page framework addresses AI-specific cyber risks including data poisoning, model drift, and bias, while providing practical tools for managing AI systems throughout their lifecycle from assessment to decommissi
AITrump AI Order Seeks Voluntary Frontier Model Testing
The White House has issued an executive order creating a voluntary framework that allows early government access to frontier AI models for testing and evaluation. The order also includes provisions for increased federal investment in AI security infrastructure and oversight capabilities.
AIAI alone won’t change your business. The system running it will.
Microsoft argues that enterprise AI success depends not on models alone, but on a comprehensive, integrated platform that enables building, deploying, governing, and continuously improving AI agents at scale. The company is positioning its unified stack—spanning Azure, GitHub, Microsoft 365, and security tools—as a production-ready system for agentic workflows across business functions. This appro
AIAnthropic to Open Mythos AI to EU's ENISA
Anthropic is granting the European Union Agency for Cybersecurity (ENISA) access to its Mythos AI system through Project Glasswing. This collaboration represents strengthened bilateral cooperation between the European Commission and Anthropic, marking a significant step in EU-AI industry partnerships for cybersecurity applications.
AIAgentic AI Isn't Risky; the Way Orgs Deploy It Is
Agentic AI systems are not inherently risky black boxes, but rather models that interact with existing software tools and infrastructure. The primary risk emerges from how organizations deploy these agents and manage the overlap between AI capabilities and enterprise systems. Proper deployment strategies and governance frameworks are essential to mitigate risks associated with agentic AI integrati