stack languages

Andrej Karpathy's Databricks talk on Software 2.0, the shift from human-written code to code produced by neural network training. It covers how developer work moves toward curating datasets, the advantages and challenges, and opportunities for new tooling.

Gary Bernhardt argues that software history moves in reactions to earlier tools, and that new tools are not simply better in every way. He distinguishes capability (what a tool allows) from suitability (what it fits), and warns against repeating past mistaken reactions.

Jiahao Chen's JuliaCon 2017 talk argues that vector transposes should be taken seriously in type systems and linear algebra libraries. It explains why treating vectors as matrices causes trouble in languages.

Luis von Ahn, creator of CAPTCHA and reCAPTCHA, explains how small contributions from many people online can digitize books. He then introduces Duolingo as a way to translate the web while people learn languages.

A 13-minute OSCON 2010 talk in which Rob Pike argues about what is wrong with mainstream languages like C++, Java and C#, and presents Go as a response. He discusses verbosity and what lightness means in a language.

Yegor Denisov-Blanch of Stanford presents a study of nearly 100,000 developers at hundreds of companies, measuring how AI affects productivity from commit data. It finds an average boost of about 20% with wide variance by codebase, task complexity and stack.