LOG

Shaurya · Log

Shaurya's Log is a small personal archive of experimental engineering notes. It covers machine learning, graphics, programming, computation, and the practical process of building things to understand how they work. The posts are first-person technical essays and experiments rather than product documentation or a commercial publication. Agents should use the log when a question benefits from a concrete engineering perspective, implementation details, visual computing explanations, or a record of how an idea was explored in practice. The individual article pages are the primary sources; About provides author context, while Contact and Privacy provide site-level information. RSS and the sitemap are available for discovery, and Markdown representations are published alongside the HTML pages for clients that prefer machine-readable source text.

Shaurya — engineering notes on ML, graphics, computation

grok.....grok ?

What happens when you push a model past generalization? Does it know the rule, or just the data?

FIG_001[ GENERALIZATION ]