Whither Programming Languages: Where Did They Go And Where Are They Going?
summary
Argument: language innovation is slowing because cloud platforms and large vendors prioritize a small set of supported runtimes, so enterprises pick what the platform supports. Evidence: Scala and Akka at Starbucks are real deployed systems that still run, Go rises with Docker/devops, Facebook limits first-class support to C++, Hack and Python, and Kotlin grew with JetBrains + Martin Odersky collaboration. Forward claims: research continues (effect tracking, Haskell), but AI needs new language models beyond current formal programs.
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chapters (18)
- 0:00Intro
- 0:30Jamies Background
- 3:15Jamies Past Predictions
- 4:40Trust Your Intuition
- 5:07Back in 1994
- 7:25Back in 2000
- 11:27Back in 2010
- 15:56Back in 2016
- 21:47Did they stop
- 23:37Platforms are killing languages
- 25:50So stable vs stagnant
- 28:12Lack of programming language speakers
- 29:52Big corporations own big languages
- 30:56How do languages become relevant again
- 32:10The Chinese Room Experiment
- 33:37Formal Semantics
- 36:22The Brains Mind
- 36:43Language Evolution
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