Free Form AI

Michael Berk
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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.

  1. 4 DAYS AGO

    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 aren’t optional, they’re how you turn probabilistic generation into reliable software. 00:00 Why LLMs behave like “chaos goblins” 03:38 What a contract actually enforces 14:56 Real bug caused by missing validation 26:32 Why external APIs will break your system 44:06 The worst mistake: putting logic in prompts If you’re not validating every boundary, you’re not building software, you’re gambling.

    45 min

  2. 10 APR

    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 build systems that actually matter. 00:00 — Builders vs posers in tech 05:00 — Why visibility can distort incentives 12:00 — How AI enables shallow prototypes 22:00 — How to identify real value 35:00 — Building culture vs playing the game AI doesn’t change the game, it exposes how you’re playing it.

    49 min

  3. 3 APR

    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 systems, and what skills actually matter as AI takes over execution. 00:00 — AI writing code vs humans reviewing it 06:00 — Why coding agents fail on complex systems 15:00 — Tactical vs strategic use of AI in development 25:00 — The role of humans as system designers and guardrails 35:00 — What skills matter in an AI-driven workflow AI doesn’t remove engineers, it makes their judgment the most important part of the system.

    55 min

  4. 27 MAR

    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 law, particularly in in-person negotiations. Takeaways AI for sensitive topicsCollaboration between technical and non-technical stakeholdersEfficiency in billable practicesFundamentally human aspects of lawIn-person negotiations as a hallmark of a lawyer's job Chapters 00:00 Introduction and Focus on AI in Law06:43 Comparison with ChatGPT Experience12:14 Efficiency Optimizations and Reception20:52 Technical Implementation and Collaboration28:00 Personal Relationship and Collaboration33:06 Disruption of Legal Industry by AI43:15 Fundamentally Human Aspects of Law

    44 min

  5. 23 MAR

    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 exploration, and the future of evaluation and outsourcing. Takeaways Evaluating AI products requires a deep understanding of how to test and measure stochastic systems.Looking at data is a crucial step in evaluating AI products and building intuition on what the failures are. AI is revolutionizing the process of instrumenting systems, reducing the toil and tedious tasks involved.AI can assist in exploring and analyzing data efficiently, providing insights and suggestions for improvement. Chapters 00:00 Introduction and Background05:55 Importance of Looking at Data13:01 Overcoming Psychological Blocks18:50 Summary Statistics and Data Exploration29:36 Revolutionizing System Instrumentation with AI36:30 AI-Assisted Data Exploration and Analysis

    54 min

  6. 13 MAR

    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 behavior on team dynamics and the significance of leading by example. Takeaways System-driven solutionsEffective testing strategiesFostering a positive and collaborative work environmentImpact of individual behavior on team dynamicsLeading by example Chapters 00:00 System-Driven Solutions10:51 Team Culture and Dynamics18:12 Leadership and Mentoring25:56 Positive Work Environment

    46 min

  7. 8 MAR

    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 excellence and the importance of mentorship and knowledge transfer. The conversation delves into the power of knowledge as a force multiplier and the approach to leadership, emphasizing excellence, approachability, and humor. It explores the concept of embracing absurdity, controlling the controllables, and revolting against the absurd. The discussion also highlights the importance of self-validation, finding like-minded individuals, and aspiring to guide others in the professional journey. Takeaways Collaboration over individual excellenceThe importance of mentorship and knowledge transfer Knowledge as a force multiplierLeading with excellence, approachability, and humorEmbracing absurdity and controlling the controllablesRevolt against the absurd Chapters 00:00 The Philosophy of Collaboration07:04 The Absurdity of Technical Work14:41 The Ethical Imperative of Mentorship26:25 Embracing the Absurdity34:08 Existentialism and Implementing Team-Based Knowledge Transfer43:19 Rebellion Against the Absurd and Psychological Calluses49:25 Finding Like-Minded Individuals and Aspiring to Guide Others

    52 min

  8. 1 MAR

    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 and the builder ethic, emphasizing the value of humility and team cohesion. It also explores the concept of navigating a career, discussing the emergent vs. deliberate approach and the significance of humility and bias for action. Takeaways Hygiene vs. motivation factorsCreating motivation in the workplace Mentorship and the Builder EthicTeam Cohesion and Humility Chapters 00:00 Creating Motivation in the Workplace29:45 Mentorship and the Builder Ethic37:31 Navigating a Career: Emergent vs. Deliberate

    57 min
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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 development. Whether you're an engineer, researcher, or enthusiast, join us for practical takeaways to navigate the ever-changing world of AI.

Information

  • Creator
    Michael Berk
  • Years Active
    2025 - 2026
  • Episodes
    38
  • Rating
    Explicit
  • Copyright
    © 2026 Michael Berk
  • Show Website
    Free Form AI