~/talk

My Life as a Tech Transfer Monad

Talkat KotlinConf 2017 · 2017-11-02..11-03· [functional-programming]
slides:none on file

Argues for making uncertainty a first-class language feature and shows concrete work: a probability monad implemented in PHP/Hack, sampling via multishot coroutines, and Monte Carlo execution that runs programs millions of times to build distributions. Demonstrates linear regression learned from four training points that peaks at 8 for input 4, and a WebPPL-style example compiled to run on Facebook’s VM. Describes teams building runtime, type/debug support, and ML-driven developer tools (autocomplete, fix suggestion), and reports those components are implemented and prototype‑working.

AI-written summary · about

  1. 0:00Intro
  2. 2:05Title
  3. 3:16Monnet
  4. 5:40The Curse of Computer Science
  5. 8:05The Dream World
  6. 11:05Relational Algebra
  7. 12:43Sequel
  8. 13:25Relational Databases
  9. 14:55Programming Language Landscape
  10. 16:10Distractions
  11. 17:43Learning Based Development
  12. 20:40Old Math
  13. 22:43Automated TDD
  14. 24:25Backpropagation
  15. 26:45Metric Spaces
  16. 28:09Linear Regression
  17. 32:51Code
  18. 35:43Probability Distribution Sampling
  19. 41:23Embracing uncertainty
  20. 44:23Reinforcement learning
  21. 47:03Program of the future
  22. 48:58Example
  23. 53:26Machine Learning for Developers
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