The Terrifying Longevity of Ideas
summary
Argues that what matters are concrete locks: C encodes PDP assumptions (in-order execution, flat memory) so CPUs spend decades masking that illusion and produce failures like Spectre and Meltdown; Python’s break from Python 2 is the concrete change of splitting bytes and text, not vague “typing”; large language models act like spicy autocorrect trained on massive scraped corpora and carry baked-in bias; pandemic supply chains expose how logistics assumptions break; concrete examples and engineering tradeoffs decide whether an idea endures.
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chapters (10)
- 0:00Introduction
- 2:27The shape of ideas
- 6:00Software and hardware
- 12:37Language evolution
- 17:44The power of community
- 23:06Learning through observation
- 25:35AI and bias
- 30:12Self-evaluation and change
- 36:17Digital and political gaps
- 47:45Closing remarks
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