After years of watching smart teams mistake sampling for safety, I no longer ask how many AI tests we ran, only which failures we have made impossible by design.

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.

Latest update to Anthropic’s popular AI model also promises improvements for computer use, long-context reasoning, agent planning, knowledge work, and design.

Overview Programming languages are in demand for cloud, mobile, analytics, and web development, as well as security. Online ...

While Zohran Mamdani was trouncing his opponents in the New York City mayoral election, Tanmay Shah, a twenty-nine-year-old Democratic Socialists of America (DSA) member and South Asian immigrant, who ...

An open-source Rust-based app teleports real-time ASCII art-based weather animations into your terminal backdrop.

Jason heard about this 1971 Ford F-250 Highboy from someone who sold him another truck and went down there to buy it. However ...

This Arizona ghost town hides hundreds of preserved vintage cars, creating a quiet time-capsule experience unlike anywhere ...

Records reveal a hidden network of federal surveillance cameras ringing the Tohono O'odham Nation and stretching deep into ...

OpenAI launches EVMbench, a new AI benchmark testing Ethereum smart contract vulnerabilities, DeFi security risks, and AI crypto auditing tools.

A Senate committee on Thursday heard sharply divided testimony on a bill that would allow small-scale distilleries and breweries in agricultural and low-density residential zones, highlighting a clash ...