Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.
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.
Overview Programming languages are in demand for cloud, mobile, analytics, and web development, as well as security. Online ...
Latest update to Anthropic’s popular AI model also promises improvements for computer use, long-context reasoning, agent planning, knowledge work, and design.
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.
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 ...
Kim Rhoads’s assembly of legendary Mopar muscle is second to none, from a 413 Max Wedge Plymouth Savoy fire squad car to a Herbs McCandless 1964 Hemi racer ...
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 ...
A hidden gem in the muscle car market, this overlooked classic packs a big-block punch without breaking the bank.
OpenAI launches EVMbench, a new AI benchmark testing Ethereum smart contract vulnerabilities, DeFi security risks, and AI crypto auditing tools.
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