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Free Form AI

Hosted by Michael Berk · business · EN

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About this Podcast:

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.

Pitch Analysis

Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Verified email

Booking probability

32%

Guest openness

Selective

Verified email on file
80/100
Required Score

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Questions about Free Form AI

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 development.

Who hosts Free Form AI?

Free Form AI is hosted by Michael Berk. The show has published 53 episodes to date.

What has Free Form AI covered recently?

Recent episodes include "Being Right Isn't Enough: How Engineers Should Communicate (E. 53)" (16 October 2026, 28 minutes), "The most efficient way to develop products (E.52)" (9 October 2026, 54 minutes), and "Ben’s Take on 4 Years of Databricks Career Knowledge in 8 Tips (E.51)" (2 October 2026, 48 minutes).

How often does Free Form AI publish?

Free Form AI publishes roughly every two weeks, with episodes averaging 44 minutes across 53 episodes.

How hard is it to get booked on Free Form AI?

Booking probability for Free Form AI is 32%, and the host is rated Selective on guests. Free Form AI requires a Pod Score of 80 or higher. Free Form AI's contact route on record: verified email.

Who should pitch Free Form AI?

The strongest fits for Free Form AI are IT Services & Software Development. Free Form AI has a business audience.

About the host

Michael Berk hosts Free Form AI, a business podcast with 53 episodes published.

Verified host email: ████████@████.comSign in to unlock →

Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

  • Episode #53

    Being Right Isn't Enough: How Engineers Should Communicate (E. 53)

    Oct 16, 202628 minS1

    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...

  • Episode #52

    The most efficient way to develop products (E.52)

    Oct 9, 202654 minS1

    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...

  • Episode #51

    Ben’s Take on 4 Years of Databricks Career Knowledge in 8 Tips (E.51)

    Oct 2, 202648 minS1

    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...

  • Episode #50

    50 Episodes Later, Here’s What We Got Wrong (E. 50)

    Aug 28, 202638 minS1

    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...

  • Episode #49

    Don’t Write a Tech Book for the Money (E. 49)

    Aug 17, 202638 minS1

    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...

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  • Episode #48

    4 Years of Databricks Career Knowledge in 8 Tips (E.48)

    Jul 31, 202633 minS1

    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...

  • Episode #47

    Why AI isn’t Valuable (E.47)

    Jul 13, 202640 minS1

    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...

  • Episode #46

    How to Find Meaning in your Career (E.46)

    Jun 26, 202634 minS1

    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...

  • Episode #44

    Superintelligence: AGI and ASI (E.44)

    Jun 13, 202647 minS1

    <p>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...

  • Episode #43

    Principles of Evals: The Future of GenAI Evaluation (E.43)

    May 29, 202654 minS1

    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...

  • Episode #43

    Principles of Evals: The Future of GenAI Evaluation (E.43)

    May 29, 202654 minS1

    <p>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...

  • Episode #42

    AI FDE at Databricks (E.42)

    May 24, 202645 minS1

    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...

  • Episode #42

    AI FDE at Databricks (E.42)

    May 24, 202645 minS1

    <p>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...

  • Episode #41

    AI for Coparenting: How AI can Deescalate Coparenting (E.41)

    May 15, 202649 minS1

    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...

  • Episode #41

    AI for Coparenting: How AI can Deescalate Coparenting (E.41)

    May 15, 202649 minS1

    <p>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...

  • Episode #40

    How to Prevent Doomsday: Guardrails, Alignment, and Education (E.40)

    May 9, 202646 minS1

    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...

  • Episode #40

    How to Prevent Doomsday: Guardrails, Alignment, and Education (E.40)

    May 9, 202646 minS1

    <p>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...

  • Episode #39

    Research Spikes: Starting Simple to Drive Success (E.39)

    Apr 24, 202643 minS1

    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...

  • Episode #39

    Research Spikes: Starting Simple to Drive Success (E.39)

    Apr 24, 202643 minS1

    <p>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...

  • Episode #38

    Controlling the Chaos: Creating Reliable LLM-Based Applications (E.38)

    Apr 17, 202645 minS1

    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...

Recent guests

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