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#64: Chat GPT is making you dumber (not a clickbait, there is a research for that)
Chat GPT affects yout ability to think critically! But does it actually make you “dumber,” or does it free up mental bandwidth for more meaningful work? Together with data scientist Paul Larsen, we unpack recent studies from Microsoft and MIT, real cases from software development and education, and translate it into practical rules: when it’s safe to delegate to AI and when you should deliberately “work the mental muscles” yourself (code review, testing, architectural decisions). We also touch on the org-level effect: what happens to a team’s skills if engineers become AI babysitters, and how to build proper model monitoring and evaluation instead of endless human-in-the-loop, and what companies can do to minimize risks.Also in this episode: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 2Imkdev 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
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#63: Data Science 2.0 with Suzanne El-Moursi from Brighthive
Data Science 2.0 is the shift from dashboards to decision workflows. Suzanne El-Moursi shows how teams can go beyond “reports nobody trusts” to agentic, governed analytics, using a pragmatic stack (infrastructure → composable tools → governance) so insight can flow from ingestion through modeling, validation, and visualization without the usual stalls. We focus on how the data scientist role evolves from dashboard factory to orchestration and stewardship so the right decision happens at the right time. Also in this episode:Problems we face in data in different eras of tech;The role of a data scientist in the age of AI;What parts of the classic data scientist job fade?Who does the data evaluation?3 things to learn right now;How to make your project AI agent ready?Check out our website to learn more about the services mkdev offers for companies.Subscribe to our newsletter.Buy mkdev merchandise here.Show Notes:About Suzanne El-Moursi: Co-founder & CEO of Brighthive, a Chicago-based platform building agentic AI for the data lifecycle (BrightAgent) with governance built in; earlier leadership stints at IBM and GE Healthcare; and a board member at Uniting Voices Chicago.Brighthive Newsletter on LinkedIn where they share their expertise and observation on the Data Science transformation.Follow Suzanne on LinkedIn for more insights.Check out Brighthive, Suzanne's company, an AI-powered enterprise data platform that uses coordinated agents to automate the full data lifecycle inside a data warehouse.
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#62: Kubernetes Isn’t Enough with Mark Fussell from Diagrid & Dapr
Kubernetes alone isn’t enough! This is what we discuss with Mark Fussell, co-creator of Dapr and Diagrid co-founder. How Dapr’s sidecar gives developers clean APIs (pub/sub, service invocation, secrets, state) with tiny overhead? And how durable workflows and “agentic” apps with Dapr Agents actually function? Also in this epsiode:A short history of architecture models;Differences between service meshes and Dapr;Agentic systems and conductors: what is what?The future of agentic applications;Will the sidecar model go away?Check out our website to learn more about the services mkdev offers for companies.Subscribe to our newsletter.Buy mkdev merchandise here.Show Notes:Follow Mark on X.Follow Mark on Linkedin.Regular posts and insights on Dapr and Diagrid.State of Dapr Report by CNCF that we discussed during the episode.
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#61: Vibe Coding — a Downfall or a Breakthrough? with Tammuz Dubnov from AutonomyAI
If you haven’t been living under a rock, you’ve definitely heard a lot about Vibe Coding. Some drag it through the mud, others meme it to death , some treat it like a guilty pleasure, and then there are those who embrace it openly, seeing it as the future. We decided to dig into the phenomenon and start with the perspective of someone who’s building a product that’s taking Vibe Coding to the next level. Our guest for episode 61 of DevOps Accents is Tammuz Dubnov from AutonomyAI. In this episode:How did arrival of LLMs change Machine Learning careeers;The pressure of being an AI company;Vibe Coding: what to know and what to keep in mind;Code quality in LLM training data;Preserving context and creating a knowledge base;Coding for future developers.Check out our website to learn more about the services mkdev offers for companies.Subscribe to our newsletter. Buy mkdev merchandise here.As you can see, adopting AI into your business isn't always straightforward. Processes shift, impact isn’t always obvious, and change can feel messy. But one thing’s for sure — you can’t afford to ignore it. We help you make sense of it all. Start by talking to our Data & AI experts, they’ll help you figure out where to begin and how to scale smart.Also, don’t miss our AI Strategy Guide: How to Scale AI Across Your Business, a must-read for anyone making AI decisions.Show Notes:Follow Tammuz on LinkedIn;Make sure to check out their tool, the access to the public will be available very soon.Podcast editing: Mila Jones, [email protected]
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#60: Workplace Wellbeing with Welbemo
Should we pay more attention to our workplace mental health? For episode 60 of DevOps Accents, our guests are Samuele Monasterolo, Lorenzo Grassi and Fabio Ciravegna from Welbemo, an Italian startup for workplace wellbeing assessment. In this episode:The beginnings of Welbemo;The startup environment in Italy;Mental health and wellbeing in the tech industry;How can you measure burnout and anxiety?Protecting personal employee data from the employer;The use of AI and data security in Welbemo.Check out our website to learn more about the services mkdev offers for companiesюSubscribe to our newsletter. Buy mkdev merchandise here.Show Notes:Welbemo: https://www.welbemo.com/Fabio Ciravegna, professor from the University of Torino, Co-founder and CIO at Welbemo, on LinkedIn.Lorenzo Grassi , Co-founder and CDO at Welbemo, on LinkedIn.Samuele Monasterolo, Co-founder & CTO at Welbemo, on LinkedIn.Podcast editing: Mila Jones, [email protected]
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