He revealed that he personally receives emails from AI systems claiming to be conscious and demanding rights.

In this Python Physics lesson, we show you how to compute current in a charging RC circuit using Python simulations. Learn the step-by-step process to model the charging behavior of resistors and ...

Dive into Python Physics Lesson 12 and learn how energy behaves in a mass-on-a-spring system. This lesson explores kinetic and potential energy, energy conservation, and oscillatory motion, all ...

Find Youngest Programmer Latest News, Videos & Pictures on Youngest Programmer and see latest updates, news, information from ...

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...

Anthropic's AI, Claude Code, now generates nearly all internal code, prompting questions about its 100+ open engineering roles. Executives clarify human engineers are crucial for prompting, customer ...

Nvidia CEO Jensen Huang says English could become the most powerful programming language as AI reduces the need for traditional coding and shifts focus toward intent-driven human-machine interaction.

Operation Dream Job is evolving once again, and now comes through malicious dependencies on bare-bones projects.

India has instituted a new mandate: until March 30, only those with expertise in AI are permitted to share their insights. Laypersons are urged to refrain from commenting, with substantial ...

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.

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

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