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.

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.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

A man calmly restrains a large python during a tense encounter, drawing attention for his steady handling of the snake.

An up close look at a truly gigantic reticulated python that will leave you speechless.

George Pólya’s random walk theorem absolved him of being a lurker and revealed how the laws of chance interact with physical ...

In Woolf’s final, unfinished manuscript, she employs a “methodology of disorder” that enables “that state of mind in which it ...

The race to develop a virtual scientist—an AI creation that conducts every stage of research, from idea to publication—has ...

See how we created a form of invisible surveillance, who gets left out at the gate, and how we’re inadvertently teaching the ...

Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, “Probability is the ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...