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 ...

This study is a valuable contribution that comprehensively identifies and characterizes LC3B-binding peptides through a bacterial cell-surface display screen covering approximately 500,000 human ...

Pentagon flags risks of a major operation against Iran Coast Guard reacts to swastika at New Jersey recruit training center: ...

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

Yes, it was labeled at 16.7 percent alcohol, which is what probably preserved it: G-damn, what succulence, what immersively ...

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. NicoElNino / Getty Images Simple random sampling gives each member ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

ThreatsDay Bulletin tracks active exploits, phishing waves, AI risks, major flaws, and cybercrime crackdowns shaping this week’s threat landscape.

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