PODCAST · business
Free Form AI
by Michael Berk
Free Form AI is a builder-led podcast that explores the ever changing landscape of machine learning and artificial intelligence. We pressure-test ideas live and uncover what matters before it’s obvious, covering topics ranging from cutting-edge implementations to the philosophies of product development. Whether you're an engineer, researcher, or enthusiast, join us for practical takeaways to navigate the ever-changing world of AI.
Episodes
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Being Right Isn't Enough: How Engineers Should Communicate (E. 53)
Being technically right doesn't mean anyone understands you. In Episode 53 of Free Form AI, Michael Berk and Ben Wilson break down how engineers can communicate complex technical ideas to nontechnical stakeholders, explain uncertainty, and make sure their message actually lands. We discuss how to...
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The most efficient way to develop products (E.52)
AI makes it dramatically faster to build software. It also makes it easier to build the wrong thing. In this episode, we break down the product development lifecycle from defining the right problem to designing, testing, and driving adoption, including why teams should actively try to invalidate...
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Ben’s Take on 4 Years of Databricks Career Knowledge in 8 Tips (E.51)
Four years at Databricks produced eight career lessons. Now Ben gets to challenge them. We dig into why humility makes you more effective, how “make them tell you no” can create career opportunities, why understanding the problem matters more as AI gets better at implementation, and how systems,...
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50 Episodes Later, Here’s What We Got Wrong (E. 50)
Fifty episodes into Free Form AI, we’re looking back at what actually changed our minds. We break down five lessons on why predicting AI is nearly impossible, how sharing unfinished ideas makes them better, why unexpected connections and analogies are powerful tools for learning, and how much...
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Don’t Write a Tech Book for the Money (E. 49)
Writing a technical book sounds great until you learn what it actually takes. In this episode, Ben breaks down his experience writing Machine Learning Engineering in Action, from pitching and rewriting chapters to technical reviews, royalties, and spending up to 60 hours a week on the process. We...
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4 Years of Databricks Career Knowledge in 8 Tips (E.48)
The best career advice isn't about climbing the ladder faster. It's about building habits that compound over decades. In this episode, Michael reflects on four years at Databricks, sharing eight lessons on career growth, systems thinking, mentorship, decision-making, and personal brand. Whether...
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Why AI isn’t Valuable (E.47)
Modern LLMs are already incredibly capable, yet most enterprise AI projects still fail. In this episode, we explore why context, not model intelligence, is the real bottleneck, how traditional RAG systems fall short, and what it takes to build AI that actually understands your business. We also...
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How to Find Meaning in your Career (E.46)
The most impactful careers aren't built by following a plan, they're built by following curiosity. In this episode, we explore why mastery comes from understanding systems instead of memorizing facts, how curiosity compounds into influence over time, and why helping others develop intuition may…
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The Value of Intuition (E.45)
As AI makes information retrieval nearly free, the value of memorization continues to decline. In this episode, we explore why systems thinking, curiosity, and deep intuition are becoming the most important skills in the AI era. We also break down the concept of the Agora, how stories transfer...
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Superintelligence: AGI and ASI (E.44)
Everyone debates when AGI will arrive. Fewer people ask what happens next. In this episode, we break down the difference between AGI and ASI, why humans instinctively personify AI systems, and the societal challenges that emerge when intelligence becomes abundant. We also discuss AI…
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Principles of Evals: The Future of GenAI Evaluation (E.43)
LLMs are optimized to sound convincing—not to know when they’re wrong. In this episode, Deanna Emery breaks down why hallucinations are fundamentally tied to how language models work, why confidence is often disconnected from correctness, and how better evaluation strategies can make AI systems...
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AI FDE at Databricks (E.42)
Building a great AI team takes more than hiring smart people. In this episode, Brooke Wenig breaks down how Databricks built the AI FDE organization, why culture compounds faster than technical skill, and what separates high-trust engineering teams from teams that slowly degrade over time. We…
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AI for Coparenting: How AI can Deescalate Coparenting (E.41)
Most AI startups optimize speed, automation, or revenue. Sol built one to stop people from emotionally destroying each other. After a brutal divorce and years trapped inside high-conflict co-parenting, he realized the real problem wasn’t logistics, it was emotional escalation through constant...
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How to Prevent Doomsday: Guardrails, Alignment, and Education (E.40)
AI alignment breaks the moment we assume intelligence automatically produces morality. Dr. Peter R. Solomon argues the real danger isn’t sentient AI becoming evil, it’s AI inheriting no emotional history, no family structure, and no reason to value human survival. The conversation moves from…
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Research Spikes: Starting Simple to Drive Success (E.39)
Most AI systems fail before they scale because teams build the “final architecture” too early. Research spikes exist to expose what you don’t understand, not to prove you’re right. The fastest path to a working system is starting with something intentionally simple, validating invariants, and...
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Controlling the Chaos: Creating Reliable LLM-Based Applications (E.38)
LLMs don’t fail loudly, they drift into undefined behavior and take your system with them. The only way to build stable AI systems is to enforce contracts at every boundary, especially when dealing with non-deterministic outputs. Modern Python tools like Pydantic, enums, and structured interfaces...
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Builders vs. Posers: How to Provide Real Value (E. 37)
AI has made it easier than ever to build fast, but also easier to fake progress. In this episode, we break down the difference between people who optimize for real value versus those who optimize for visibility, how this shows up in AI workflows, and why long-term thinking is the only way to…
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Automating Execution: What skills still matter? (E. 36)
AI coding agents can generate code faster than ever, but they also introduce new risks that most teams don’t understand yet. In this episode, we break down how software development is shifting from writing code to reviewing and directing AI systems, why poorly guided agents create fragile…
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AI in the Legal Industry: What Jobs are Safe (E. 35)
The conversation delves into the use of AI in the legal industry, focusing on the Succession platform and its approach to will creation. It explores the collaboration between technical and non-technical stakeholders, the efficiency of billable practices, and the fundamentally human aspects of…
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Evaluating AI: Best Practices for Stable AI (E. 34)
The conversation delves into the importance of data science in AI, the challenges with existing evaluation frameworks, the significance of looking at data, types of tests and prioritization, the evolution of evaluation solutions, overcoming psychological blocks, summary statistics and data...
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Scaling Systems: How to Avoid Catastrophe (E. 33)
The conversation covers topics related to software development, testing, and team culture. It emphasizes the importance of system-driven solutions, effective testing strategies, and fostering a positive and collaborative work environment. The discussion also delves into the impact of individual...
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Philosophy of Stupid Work: How to Enjoy it (E. 32)
The conversation delves into the philosophy of collaboration, the absurdity of technical work, the ethical imperative of mentorship, the role of a technical role model, and embracing the absurdity of the technical world. Key takeaways include the emphasis on collaboration over individual…
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Career Strategies: Emergent vs. Deliberate (E. 31)
The conversation delves into the concepts of hygiene vs. motivation factors in the workplace and explores the methods of creating motivation within a team. It also touches on the role of a manager in maintaining team efficiency and morale. The conversation delves into the importance of mentorship...
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Personal Finance: Advice from Dr. Adam Link (E. 30)
The conversation delves into the scale of finance and the concept of 'enough' in relation to wealth. It explores the value of money, safe withdrawal rates, financial mistakes, and the transition to wealth management as a career path. The conversation delves into the use of AI-based coding...
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Agentic Systems: Architectures at Microsoft (E. 29)
The conversation delves into Victor Dibia's career journey, global experiences, transition to a PhD, and strategic career planning. It also explores his focus on AI tooling and frameworks, as well as the evolution of Autogen and the Microsoft Agent Framework. The conversation delves into the...
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Knowledge Transfer: How to Help Others (E. 28)
The conversation delves into the importance of knowledge transfer within an organization, highlighting the benefits of a collaborative culture, the value of building replacements, and the demonstration of one's value through knowledge sharing. It emphasizes a kindness-oriented approach and the…
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Diverse Hiring for AI Skills (E.27)
The conversation covers the topics of diversifying vs. focusing, structuring your day for productivity, the evolution of AI training, AI leadership training, building community and support, and navigating career transitions. Key takeaways include the importance of structuring your calendar for...
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Systematic Creativity: TRIZ, Knowledge Graphs and AI-Driven Innovation (E.26)
What happens when creativity is treated not as intuition, but as a system that can be studied and scaled? In this episode of Free Form AI, Michael and Ben sit down with Nicolas Douard, Lead Data Scientist at the Virtue Foundation, to explore how AI and data science are being used to automate...
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Inside the Codebase: Reviews, Testing and the Hidden Mechanics of Good Software (E.25)
Ever wondered what senior engineers actually talk about behind closed doors? In this episode of Free Form AI, Michael and Ben open up the conversations developers usually only hear behind closed doors. We're talking how real engineering teams review code, manage dependencies, keep tests reliable...
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Beyond Intelligence: GPT-5, Explainability and the Ethics of AI Reasoning (E.24)
What happens when AI stops generating answers and starts deciding what’s true? In this episode of Free Form AI, Michael Berk and Ben Wilson dive into GPT-5’s growing role as an interpreter of information — not just generating text, but analyzing news, assessing credibility, and shaping how we...
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The Cost of Complexity: Why Simplicity Wins in Software Development (E.23)
How to fight complexity creep and build software that stays simple, even as it grows. Every engineer knows the struggle: a simple system slowly buried under complexity. In this episode of Free Form AI, Michael Berk and Ben Wilson break down how complexity creeps into code, dependencies and…
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Competence, Trust and Ethical Client Engagement: Applying Military Strategies to Consulting (E.22)
In this episode of Free Form AI, Michael and Ben draw surprising parallels between military strategy and consulting practice. They break down how principles like competence, trust-building and ethical engagement translate into stronger client relationships and long-term success. From showing…
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Knowledge Sharing, Culture and the Future of Cloud + AI (E.21)
Passion for the product, not compensation, is what keeps the best engineers engaged. In this episode of Free Form AI, Michael and Ben sit down with Aleksandr Patrushev, Head of DevRel at Nebius, to explore the evolving role of Developer Relations and the culture that sustains technical talent.…
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Solution Accelerators: Balancing Production Software and Durability in AI Development (E.20)
Behind every robust AI system is a solution accelerator that makes complex development smarter. In this episode of Free Form AI, Michael and Ben dive into the role of solution accelerators in bridging the gap between production-ready software and simpler resources like blogs or cookbooks. They...
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Data Annotation to Auto-Optimization: How Agents and Human Oversight Shape AI's Future (E.19)
In this episode of Free Form AI, Michael and Ben explore the evolution of prompt engineering and the rise of auto-optimization in AI. We discuss how agents can execute tasks autonomously, why human oversight remains essential and how defining success criteria shapes model performance. Tune in to...
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Automating Intelligence: Data Collection, Human Feedback and the Future of Context-Augmented Agents (E.18)
In this episode of Free Form AI, we sit down with Tomu Hirata (Databricks), whose journey from medicine to software engineering offers a unique lens on building AI systems. From automating construction machinery to optimizing job postings at Indeed, Tomu has worked at the edge of AI data…
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Problem Solving Under Pressure: Lessons in Fundamentals, Failure, and Finding the Fix (E.17)
In this episode of Free Form AI, we go behind the scenes with co-host Ben Wilson to explore how his early experiences in the Navy shaped his approach to engineering, risk, and creativity. From high-stakes problem solving to the importance of failure-friendly environments, Ben and Michael unpack...
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Beyond Benchmarks: How GPT-5 and OSS Are Redefining AI Evaluation (E.16)
Behind every major leap in AI is a wave of experimentation. And GPT-5 is no exception. In this episode of Free Form AI, Michael and Ben unpack what makes the latest generation of large language models different, from reasoning improvements and reduced hallucinations to the open-source revolution...
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Libraries, Law and LLMs: How Unconventional Paths Are Shaping the Future of AI (E.15)
In this episode of Free Form AI, we sit down with Lara Rachidi and Maria Zervou, two AI professionals whose paths defy the traditional tech blueprint. Lara began her career in law and economics before pivoting into data science. Maria started at the British Library, digitizing manuscripts and...
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GenAI, Agency and Infrastructure: What’s Actually Holding Back the AI Frontier (E.14)
In this episode of Free Form AI, we sit down with Puneet Jain, Senior Applied AI Engineer at Databricks, to explore what’s really holding back GenAI from reaching production at scale, and why infrastructure, not intelligence, might be the missing piece. From toy clustering algorithms to...
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From Career Pivots to AI Innovation: Lessons in Building Better Systems (E.13)
In this episode of Free Form AI, we sit down with Mary Moore-Simmons, VP of Engineering at Kibo (formerly GitHub), to explore how career pivots, leadership, and AI are reshaping engineering. From drying Kona coffee beans with radiant heat to leading complex orgs at GitHub, Mary shares how...
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How AI Assistants Are Changing Coding (E.12)
In this episode of Free Form AI, we explore how AI coding assistants are reshaping the development workflow. From spotting bugs that slip past human review to writing context-aware tests and reviewing entire PRs, these tools are changing how engineers build software. We break down the “secret...
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LATAM Engineers vs. Offshore Norms: Gino Ferrand on Hiring Right (E.11)
In this episode of Free Form AI, Michael sits down with Gino Ferrand, CEO of Tecla, to explore how traditional tech hiring misses the mark, especially when it comes to LATAM engineering talent. We break down flawed “rockstar” hiring, AI-proofing your interview process and what successful…
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10 - Case Study: AI Video Recommender
In this episode, Michael and Ben discuss the intricacies of building a video clipping service and recommendation engine. They explore the challenges of defining interesting clips, the importance of feature requirements, and the cold start problem when launching without user data. The conversation...
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9 - AI Career Leveling
In this episode, Michael Berk and Ben Wilson discuss the various levels of a data science career, from internships to senior leadership roles. They explore the expectations, responsibilities, and best practices for each level, emphasizing the importance of collaboration, continuous learning, and...
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8 - Microservices with Mark Fussell
In this episode, Michael and Ben speak with Mark Fussell, CEO of Diagrid, about Dapr, a runtime for building distributed applications. Mark shares insights on the challenges of microservices development, the importance of durable workflows, and the actor model. The conversation also touches on…
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7 - What are the best AI Software Packages
In this episode, Michael and Ben explore the world of open source projects in AI, focusing on MLflow and its various flavors. They discuss popular machine learning libraries like Scikit-learn, SparkML, and tree-based algorithms such as XGBoost and LightGBM. The conversation also delves into time...
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6 - When Should You Bail
In this episode, Michael and Ben discuss the challenges of decision-making in software engineering, particularly focusing on the sunk cost fallacy, emotional attachment to work, and the importance of prototyping. They explore how to recognize when to pivot or bail on a project, the complexities…
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5 - How to Lead Engineers with Ben Johnson
In this episode, Michael Berk and Ben Johnson discuss the essential traits of effective engineering leadership, the importance of customer-centric software development, and the challenges of integrating AI into business processes. They emphasize the need for clear communication, trust, and...
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4 - How to Transfer Projects
In this episode, Michael Berk and Ben discuss the intricacies of transferring code, project ownership, and knowledge within teams, particularly in the context of machine learning and software engineering. They explore the importance of documentation, bridging skill gaps, and ensuring effective...
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ABOUT THIS SHOW
Free Form AI is a builder-led podcast that explores the ever changing landscape of machine learning and artificial intelligence. We pressure-test ideas live and uncover what matters before it’s obvious, covering topics ranging from cutting-edge implementations to the philosophies of product development. Whether you're an engineer, researcher, or enthusiast, join us for practical takeaways to navigate the ever-changing world of AI.
HOSTED BY
Michael Berk
CATEGORIES
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Frequently Asked Questions
How many episodes does Free Form AI have?
Free Form AI currently has 52 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is Free Form AI about?
Free Form AI is a builder-led podcast that explores the ever changing landscape of machine learning and artificial intelligence. We pressure-test ideas live and uncover what matters before it’s obvious, covering topics ranging from cutting-edge implementations to the philosophies of product...
How often does Free Form AI release new episodes?
Free Form AI has 52 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to Free Form AI?
You can listen to Free Form AI on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts Free Form AI?
Free Form AI is created and hosted by Michael Berk.
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