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

See how we created a form of invisible surveillance, who gets left out at the gate, and how we’re inadvertently teaching the machine to see, think like us.

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.

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

Stop using unencrypted spreadsheets ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

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

Experience space like never before with this Python simulation of the ISS orbit – upgraded animation! 🌌 Watch the International Space Station (ISS) move along its trajectory with realistic ...

"This snake could easily swallow at least a calf, if not an adult cow," an explorer and natural history photographer said of ...

Getting LeetCode onto your PC can make practicing coding problems a lot smoother. While there isn’t an official LeetCode app ...