Industry Leaders
A 22-part series to help you master this topic step by step.
22 parts in this series
AI
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Series Outline

1
Sam Altman, Defense AI, and the Utility Bet
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2
Sam Altman’s 2028 Claim: Executive Implications
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3
Karpathy's CS231n Throwback: Why 2016 AI Principles Still Drive AI Strategy
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4
Sam Altman Pentagon Deal: What It Signals for Executive Strategy
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5
Simon Willison, Showboat, and the New Control Layer for Python AI Tooling
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6
Sam Altman's BlackRock Warning: AI's Political Problem Executives Can't Ignore
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7
Simon Willison's datasette-llm and Purpose-Driven AI Infrastructure
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8
Karpathy’s Autoresearch: AI Agents Running ML Experiments While You Sleep
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9
David Holz’s Midjourney V7: Why the Architecture Reset Matters
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10
Sam Altman's Adoption Warning: What Executives Must Know
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11
Sam Altman's 2026 Playbook: Enterprise, Superintelligence, and Political Risk
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12
Sam Altman's Enterprise Pivot and 2028 Timeline: What Executives Should Actually Plan For
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13
Sam Altman Superintelligence 2028 Explained
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14
Sam Altman's Enterprise Pivot: What OpenAI's Big Week Means
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15
Sam Altman's Power Play: Why OpenAI's Infrastructure Ambitions Matter for Enterprise AI Strategy
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16
Sam Altman's Pentagon Deal and AI Politics
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17
Simon Willison on LLM Tools and Innovation
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18
Andrej Karpathy's "Claws" Signal a New AI Stack
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19
Andrej Karpathy: The AI Leader Every Executive Should Know
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20
Sam Altman's 2028 Superintelligence Warning: What Executives Should Actually Do
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21
Karpathy's 'Sparse and Between' Warning for Software Leaders
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22
Sam Altman's AI Utility Gambit: What It Means for Executive Strategy
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Ready to start learning?
Begin with Part 1 and work your way through the series at your own pace.