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Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.

People are getting excessive mental health advice from generative AI. This is unsolicited advice. Here's the backstory and what to do about it. An AI Insider scoop.

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new ...

Bruno, Fx, ActivityWatch, DDEV, and TLDR Pages are all dev tools that you should try out because they're much better than ...

A REST API (short for Representational State Transfer Application Programming Interface) is a way two separate pieces of ...

The drive towards newer Java versions and updated enterprise specifications isn’t just about keeping up with the latest tech; ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.