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As artificial intelligence rapidly matures into a foundational force in global economics, security, and governance, a pivotal question confronts nations and citizens alike: Will the future of AI be open, explainable, and democratic — or closed, controlled, and profit-maximized? On July 27, 2025, the U.S. government unveiled a sweeping new AI Action Plan, signaling a shift toward deregulation, rapid commercialization, and export acceleration.
Why the Path to Real AI Means Leaving Nature Behind Photo by History in HD on Unsplash In July 2025, OpenAI announced that its experimental AI model had achieved something once thought impossible: it earned a gold medal-level score at the International Mathematical Olympiad (IMO) — solving five out of six elite math problems in the official two-day exam format. This wasn’t chess. This wasn’t Go. This was mathematics: the frontier of abstract reasoning and creativity.
This article is based on my talk at Google on 23 Mar 2024. Generative AI has rapidly become a cornerstone of modern artificial intelligence, powering innovations from realistic image generation to sophisticated natural language understanding. This article delves into the intricacies of Generative AI, exploring its history, applications, and key technologies that have shaped its development. Here are 10 fundamental aspects to learn about Generative AI.
A quarter of a century since it was developed by Brendan Eich, JavaScript is not only the most popular programming language, it is also widening its lead. Developer analyst firm SlashData’s Q3 2020 report says 12.4 million developers globally use JavaScript (JS). About 5 million of these were added in just the last three years, the biggest absolute increase for any language.
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