In this episode, we continue our discussion of governed execution for agentic AI and how to prevent agents from taking actions they should not take. We use a maintenance example to examine access, approvals, revocation, rollback, and human checkpoints across systems such as ERP, inventory, HRIS, planning, procurement, and maintenance tools. We also talk about the difference between the agent and the harness around it, and why deterministic workflows are often preferable to direct model action.
Transcript: https://otter.ai/u/QNu4NYGzk7xe1Knv3bzVdXBo7ZE?utm_source=copy_url
18 Sept 2026
Harnesses Pt 1
This week we discuss the role of a harness in AI systems and why it matters for infrastructure, tool use, rules, and operational constraints when an AI acts on behalf of a person or organization. We also distinguish agency, delegation, authorization, authentication, and accountability, and explain why keeping them separate matters for policy and responsibility.
Transcript here: https://otter.ai/u/vSVbzrW3Eih3mLdT6OsCGRJ2WPY?utm_source=copy_url
11 Sept 2026
Final 20260903 Whats Up with VMware
In this episode, we are joined by guest Byron Dill from Summit for a great deep dive into virtualization. We talk about virtualization from an enterprise and infrastructure perspective, with a focus on VMware, its recent announcements, and how the market is responding to changes in virtualization strategy. We also discuss VMware’s expanded VCF platform, including Kubernetes and AI-related features, and the contrast between AI marketing and the practical realities of GPU-based workloads. Really great episode!
Transcript here: https://otter.ai/u/wYYQZyzPxrzNF_3MSU4NnPf8zS4?utm_source=copy_url
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Dr Andrew Ng
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Rob Hirschfeld
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