AI & ML

Technological innovations mean that the terms of military conflict have changed — forever

The technology’s advances have not yet translated into big improvements in real-life care

Security company hacked into AI lab using tools from its rival

TL;DR An enterprise request is not complete when compute and storage have been provisioned. Capacity, security, sovereignty, recovery, observability, and cost requirements must become an operable service with an owner. This article uses VCF 9.1, Dell resource pools, NSX controls, and Azure extensions to examine that translation from business intent to a versioned platform contract.

TL;DR Global Workspace Theory in AI offers a useful architectural lens: specialized components process information locally, selected information enters a limited shared workspace, and that information becomes available to other components. The strongest engineering analogy is a coordinated agent system, not simply a large language model with a long context window. For enterprise implementations, the

TL;DR Hybrid cloud becomes difficult to operate when several platforms appear to own the same lifecycle, identity, or policy decision. Define the responsibilities of Dell infrastructure, VMware Cloud Foundation, NSX, and Azure services before connecting their workflows. The useful architecture is a federation of explicit operating boundaries with accountable owners, supported integration paths, and verifiable

TL;DR An AI agent is not dependable simply because it can reason, call tools, and retry. It needs a feedback architecture that connects an approved goal to trustworthy observations, bounded actions, outcome verification, and correction. Cybernetics and control theory provide the vocabulary for designing that architecture. The practical priorities are stable correction, sufficient visibility, appropriate

TL;DR Bounded autonomous operations connects trustworthy telemetry to policy, scoped execution, and verified service outcomes. Start with approved, reversible workflows that have named owners, explicit limits, and tested fallback paths. In a VCF environment, coordinate observability, lifecycle, workload, security, and resilience responsibilities while preserving each system’s authority boundary. Progress from evidence collection to approval-gated remediation,