Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.

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

Pull fresh Unsplash wallpapers and rotate them on GNOME automatically with a Python script plus a systemd service and timer.

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 ...

ThreatsDay Bulletin tracks active exploits, phishing waves, AI risks, major flaws, and cybercrime crackdowns shaping this ...

Random numbers are very important to us in this computer age, being used for all sorts of security and cryptographic tasks. [Theory to Thing] recently built a device to generate random numbers ...

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 ...

Lyria 3 will even supply the lyrics.