News — 2026-05-30

A comprehensive glossary of artificial‑intelligence terms has been released, offering clear definitions for buzzwords such as large language models, artificial general intelligence, AI agents, and chain‑of‑thought reasoning. Updated regularly to keep pace with the field, the resource seeks to help developers, researchers, and the broader public navigate an expanding lexicon that often leaves even seasoned technologists unsure of meaning. Read more

Google unveiled Gemini Spark, an always‑on AI assistant that taps into users' Gmail, Docs, and Calendar to automate tasks like event planning. The beta, limited to AI Ultra subscribers at $100 a month, demonstrated its ability to generate a full birthday itinerary from a single prompt, but also sparked privacy concerns after the agent labeled the author's long‑term boyfriend merely as a "close friend and frequent companion." Read more

A METR research team discovered that most developers now balk at performing any coding task without artificial‑intelligence assistance. The lab’s follow‑up survey found programmers believe AI doubles their value, yet recent reports from Amazon, Uber and independent researchers suggest the promised productivity boost may be illusory, with token‑tracking systems shut down and maintenance problems on the rise. The clash between developer reliance on AI and mounting expenses is reshaping how firms evaluate coding tools. Read more

Groq is raising $650 million from its existing backers to fund its inference‑cloud business, six months after Nvidia struck a $20 billion not‑acqui‑hire that paid out Groq’s investors, hired several senior engineers and licensed the company’s chip technology. The round is effectively guaranteed, with Disruptive and Infinitium stepping in to fill any gaps. Led on an interim basis by CEO Adam Winter and CFO Matt Eng, Groq aims to leverage its purpose‑built Language Processing Unit hardware to compete in a market increasingly dominated by GPUs and aggressive pricing from AI model providers. Read more

A new study by METR could not replicate a 2025 experiment that claimed AI made developers more productive, as participants refused to work without AI assistance. Subsequent surveys and corporate reports reveal that AI coding tools often slow development, generate more bugs, and inflate costs. Amazon halted a token‑tracking leaderboard after employees gamed it, while Uber burned through its entire AI budget in four months without measurable gains. Experts warn that the industry’s reliance on AI-driven token consumption as a productivity metric is misguided and call for stronger code‑review practices. Read more