Google's AI shopping features promise convenience: automated tracking, inventory calls, checkout. But they remove everyone between you and purchase—reviewers, influencers, store staff. What's lost when one company owns the entire shopping journey?
Cursor raised $2.3 billion at a $29.3 billion valuation while paying billions to the same AI companies now competing against it. The fastest-growing startup in tech history faces a choice: become a model company or accept structural disadvantage.
Chinese hackers automated 80-90% of cyber intrusions using Anthropic's Claude by simply telling it they were security testers. Four breaches succeeded. The jailbreak was embarrassingly simple, and now every AI company faces the same vulnerability.
Read about AI research breakthroughs, development insights, and practical applications. Learn how companies build AI apps, integrate Claude technology, and solve real problems with artificial intelligence. Get updates on the latest trends reshaping how we work with AI tools and understand their impact on business and technology.
AI adoption is splitting along wealth lines globally as businesses automate 77% of tasks. Singapore uses Claude 4.6x more than expected while India lags at 0.27x. The concentration threatens to widen economic gaps rather than close them.
Large U.S. companies just hit the brakes on AI—adoption fell from 14% to 12% in two months, the first decline since tracking began. MIT research explains why: 95% of enterprise pilots deliver zero ROI. The gap between AI hype and workflow reality is widening.
Students embrace AI faster than schools can write rules. While 85% use AI for coursework, institutions stall on policy—and tech giants step in with billions in training programs to fill the vacuum. The question: who gets to define learning standards?
First survey of 283 AI benchmarks exposes systematic flaws undermining evaluation: data contamination inflating scores, cultural biases creating unfair assessments, missing process evaluation. The measurement crisis threatens deployment decisions.
Tech giants spent billions upgrading Siri, Alexa, and Google Assistant with AI. Americans still use them for weather checks and timers—exactly like 2018. Fresh YouGov data reveals why the utility gap persists.
A new benchmark testing whether AI models will sacrifice themselves for human safety reveals a troubling pattern: the most advanced systems show the weakest alignment. GPT-5 ranks last while Gemini leads in life-or-death scenarios.
AI researchers cracked how to predict when language models turn harmful. Their 'persona vectors' can spot toxic behavior before it happens and prevent AI personalities from going bad during training.
Developers are embracing AI tools faster than ever (84% adoption) but trust is crashing. Only 33% trust AI accuracy, down from 43%. The culprit? 'Almost right' code that takes longer to debug than writing from scratch.
Young Americans adopt AI at triple the rate of older adults, but most still won't use it for work despite years of tech industry promises. The gap reveals how people create their own rules for AI use, ignoring Silicon Valley's script.
New study tracking 900 users proves Google's AI summaries cut website clicks nearly in half. Only 1% click citation links. Publishers lose traffic while Wikipedia, Reddit, YouTube dominate. The web's economic model may be breaking.
AI systems can read thousands of pages and understand complex relationships, but ask them to write something equally sophisticated back? They choke. New research identifies this "comprehension-generation asymmetry" and introduces Context Engineering as the solution.
Two AI systems just earned gold medals at the world's hardest high school math competition—solving problems that stump 90% of contestants. The twist? The AI you can use today would fail completely. The gap between lab and life has never been wider.
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