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.

Learn how to create strong passwords that are secure yet memorable using passphrases, substitutions, site-specific tweaks, and password managers.

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 ...

The White House on Tuesday rejected the latest offer from Democratic lawmakers on proposed new constraints on federal ...

If you can type or talk, you can probably vibe code. It's really that easy. You simply communicate your idea to the AI chatbot of your choice with natural language, and it will get to work. While all ...

Microsoft warns of AI recommendation poisoning where hidden prompts in “Summarize with AI” buttons manipulate chatbot memory and bias responses.

You can spend hours comparing prices, test driving, and haggling, then lose thousands of dollars because you skipped a 60‑second check on a 17‑digit code stamped on the car. Used car scams keep ...

Author Michael Connelly and former LAPD detective Rick Jackson will discuss their contested theory linking the Zodiac ...

Explore how quantum-safe multi-party computation secures distributed AI datasets and Model Context Protocol (MCP) deployments against future quantum threats.

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.