|
You are here |
duncan.hull.name | ||
| | | | |
www.trevorlasn.com
|
|
| | | | | With AI tools like Claude Code, Cursor, GitHub Copilot, OpenAI Codex, and Lovable, is learning to code still valuable? | |
| | | | |
www.danstroot.com
|
|
| | | | | You are contributing value, whether you like it not, when you make your code public. Training machine learning models on publicly available data is considered fair use across the machine learning community. The models gain insight and accuracy from the public collective intelligence. The only way to extract value back out is to use Copilot yourself. | |
| | | | |
loufranco.com
|
|
| | | | | [AI summary] A blog post discusses an MIT study on GitHub Copilot's impact on software development productivity, highlighting its effectiveness in speeding up task completion for experienced developers. | |
| | | | |
battellemedia.com
|
|
| | | Do generative AI innovations like OpenAI's ChatGPT and Google's LaMDA represent a new and foundational technology platform like Microsoft Windows, Apple iOS or the Internet? Or are they just fun and/or useful new products that millions will eventually use, like Google Docs or Instagram? I think the answer can and should be "both" - but... | ||