Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.
UTSA: ~20% of AI-suggested packages don't exist. Slopsquatting could let attackers slip malicious libs into projects.
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.
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
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IBM falls most since 2000 after Anthropic COBOL AI claims; Thomas says translation isn’t modernization
IBM’s ( IBM) Software and Chief Commercial Officer, Rob Thomas, wrote in a Monday blog post that translating COBOL code isn’t equivalent to modernizing enterprise systems, emphasizing that platform ...
ThreatsDay Bulletin tracks active exploits, phishing waves, AI risks, major flaws, and cybercrime crackdowns shaping this ...
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 ...
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