Learning from Machine Learning Dan Bricklin: Lessons from Building the First Killer App | Learning from Machine Learning #14
On this episode of Learning from Machine Learning, I had the pleasure of speaking with Dan Bricklin, co-creator of VisiCalc - the first electronic spreadsheet and the killer app that launched the personal computer revolution. We explored what five decades of platform shifts teach us about today's AI moment.
Dan's framework is simple but powerful: breakthrough innovations must be 100 times better, not incrementally better. The same questions he asked about spreadsheets apply to AI today: What is this genuinely better at? What does it enable? What trade-offs will people accept? Does it pay for itself immediately?
Most importantly, Dan reminded us that we never fully know the impact of what we build. Whether it's a mother whose daughter with cerebral palsy can finally do her own homework, or a couple who met learning spreadsheets. The moments worth remembering aren't the product launches or exits. They're the unexpected times when your work changes someone's life in ways you never imagined.
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Chapters
00:00:00 Start
00:00:49 Early Fascination with Technology
00:02:49 From MIT to Mainframes: A Journey Through Computing
00:09:35 The Birth of VisiCalc: Revolutionizing Spreadsheets
00:13:41 Interactive Computing: The Impact of VisiCalc
00:16:46 Understanding Killer Apps: The Evolution of Software
00:23:05 Challenges in Development: Creating VisiCalc
00:30:12 VisiCalc's Legacy: The Precursor to Modern Spreadsheets
00:36:01 App Customization
00:40:31 The Evolution of User Interfaces and Applications
00:43:11 Understanding AI: Hype vs. Reality
00:48:11 Learning to Use New Technologies Effectively
00:56:51 The Importance of User-Centric Design
01:01:10 Career Reflections and Life Lessons
01:05:18 The Impact of Technology on Life and Relationships
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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.
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