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.

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 ...

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

Looking for help with today's New York Times Wordle? Here are some expert hints, clues and commentary to help you solve today ...

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

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

Security firm Irregular analyzed outputs from tools such as Claude, ChatGPT, and Gemini, and found that many AI-generated passwords appear complex but are actually highly predictable ...

Voice-to-text on Android is really good if you’re using a Pixel, and pretty hit or miss everywhere else. But the new “Wispr Flow” app promises some big improvements to voice-to-text on Android, all ...

AI writing tools are now part of daily life. Students use them for essays. Professionals use them for emails. Marketers use them for blog drafts. Many ...

Seemingly complex strings are actually highly predictable, crackable within hours Generative AI tools are surprisingly poor at suggesting strong passwords, experts say.… AI security company Irregular ...

Lyria 3 will even supply the lyrics.