• Cognitive offloading vs. genuine cognitive-load savings; why “less mental pain” ≠ “less intelligence.”

• An “error budget” for tasks: where the cost of a mistake is high vs. where AI can operate under monitoring.

• Human-in-the-loop vs. production ML practices: logs, quality metrics, drift, and periodic re-evaluation.

• How the “charming politeness” of chat models lowers skepticism and how to counter it.

• “Dosed” use of assistants: what to do yourself (planning, hypothesis framing) vs. what to hand over to AI.

• Graph-based models in the enterprise: why large companies pick standard, lower-risk use cases.

• Data contracts, CI/CD for data, and “AI for data → better data for AI.”

• Advice for listeners: avoid flattening teams into “assembly & polishing” roles and preserve core competencies.

Show notes:

• Survey of knowledge workers: higher trust in GenAI correlates with less critical-thinking engagement. Microsoft Research
• LLM-assisted writing reduced recall and neural engagement; 83% in the LLM group couldn’t accurately quote their own text. MIT Media Lab
• After habituation to AI support, endoscopists’ without-AI accuracy dropped (−6 percentage points ADR). The Lancet Gastroenterology & Hepatology
• A high-schooler’s first-person account of AI disrupting classroom learning. The Atlantic
• Relational/graph foundation model for enterprise predictive apps; background + papers. Kumo.ai · Research
• GenAI cyber-risk in practice: threat model and developer guidance by Paul Larsen. Article 1 · Article 2
Imkdev is a consultancy for Public Cloud (AWS/GCP), Data/ML, and Platform Engineering. We help companies accelerate delivery, reduce cloud costs, and deploy GenAI safely (while not making you dumber along the way) - from audits and architecture to productionizing models, monitoring, and team training: https://mkdev.me/

Visit mkdev.me and subscribe to MKDEV Dispatch for new episodes and articles: https://mkdev.me/dispatchBuy mkdev merchandise here: https://store.mkdev.me