On this episode of Learning from Machine Learning, I had the privilege of speaking with Lukas Biewald, co-founder and CEO of Weights & Biases. We traced his journey from programming games as a kid to building one of the most essential tools in AI development today. Lukas's career demonstrates that conviction often matters more than consensus—from surviving the AI winter in the mid-2000s when he was coached to remove "AI" from investor pitches, to the AlphaGo moment that changed everything and led him to take an unpaid internship at OpenAI in his thirties.

Lukas's philosophy on "automating the automation" reveals why AI developers have become the most powerful people within organizations—they're a smaller market but wield disproportionate influence. He shares his view that "if you zoom out, AI is so underhyped, you can't hype it enough." The recursive potential of machines improving machines is barely understood, yet it represents "the most powerful technology you could possibly build."

Most importantly, Lukas's philosophy that "feedback loops are your units of work" transforms how we approach both machine learning and life. He explains the necessity to stay technical as a leader: "If you're going to work for me, you better be able to do the IC job. And I do not know how companies function without that mindset." His advice to his younger self cuts through common doubts in emerging technologies: "you think you're late, but you're early." In a world racing towards progress at all costs, this reminder couldn't be more relevant.

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Available on Youtube:

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Available on Substack:

https://mindfulmachines.substack.com/

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Chapters

00:00 Open

00:46 Early Fascination with AI

03:57 Founding CrowdFlower During AI Winter

09:22 The AlphaGo Awakening

16:02 Birth of Weights & Biases

23:50 The LLM Revolution's Impact

29:12 CoreWeave Acquisition & Future Vision

32:56 The Entrepreneurship Philosophy

37:29 Technical Leadership Philosophy

49:01 The Future of Software Development

53:07 Leadership Lessons & Career Advice

1:00:38 Life Lessons from Machine Learning

1:01:46 Closing Thoughts & Gratitude

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References

Gödel, Escher, Bach: An Eternal Golden Braid
Genius Makers
Weights & Biases
CrowdFlower/Figure 8 (now part of Appen)
OpenAI
CoreWeave
Scale AI
GitHub
Google
Stanford University
Y Combinator
Daphne Koller - Stanford Professor, Co-founder of Coursera
Lee Sedol - Professional Go player defeated by AlphaGo

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A machine learning podcast that explores more than just algorithms and data: Life lessons from the experts. Welcome to "Learning from Machine Learning," a podcast about the insights gained from a career in the field of Machine Learning and Data Science. In each episode, industry experts, entrepreneurs and practitioners will share their experiences and advice on what it takes to succeed in this rapidly-evolving field.

Lukas Biewald | You think you're late, but you're early | Learning from Machine Learning #13

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