Part 4 | Can AI save the world from low quality javascript? Bryan and Nick talk about how AI-generated code can ‘stink’ -- feeling bloated, disconnected, and inconsistent. Early tools felt like working with a mid-level dev, you had to constantly guide it, refine it, and keep things on a tight leash. Oddly, the propensity to engage in bad patterns seems correlated with language choice. The takeaway is: there’s way too much low-quality javascript in the training data.   🎙️ ft. Nicholas Hirsch | Hosted by Bryan Gilbert Davis Watch the full conversation on Pioneer Park. Now on YouTube and Spotify! Youtube: https://lnkd.in/gj69tWvX Spotify: https://lnkd.in/gHPTcRf9 🔔 Make sure to follow for more conversations on the frontiers of entrepreneurship, technology, and science. #AICoding #SoftwareDevelopment #Programming

The connection between training data quality and what we get back makes so much sense, especially with JavaScript being everywhere in those datasets shaping how models approach code generation.

Like
Reply

To view or add a comment, sign in

Explore content categories