We’re still in the phase where people are arguing about whether AI is a big deal. That’s always how it goes. The most important changes can feel invisible while they’re happening.
Klarna demonstrates the transformative potential of AI in enhancing productivity and profitability by reducing the workforce while increasing revenue per employee, showing that AI integration is crucial for future competitiveness and worker value.
Technological success should be measured by its real impact on people's lives rather than its sophistication or advancement.
The article comments on the excitement and skepticism surrounding the potential achievement of artificial general intelligence (AGI), discussing the challenges, economic interests, and the uncertain trajectory toward its realization.
Language AI has evolved from simple word counting to sophisticated models like transformers, aiming to preserve meaning through numerical representation, with future breakthroughs poised to enhance reasoning and contextual understanding.
In a city known for its art, culture, and occasional diplomatic drama, U.S. Vice President JD Vance took to the stage at the AI Action Summit in Paris, delivering a speech that was as bold as a double espresso.
AI isn’t just here to take jobs—it’s changing how we work. The Anthropic Economic Index reveals real-world AI usage across industries, separating hype from reality. Is your job at risk, or is AI just a glorified assistant? Let’s dive in.
A recent study reveals that knowledge workers using Generative AI report reduced cognitive effort and shifts in critical thinking. Is AI helping us think smarter, or just making us more dependent?
Sam Altman’s latest blog post outlines three key observations about AGI's trajectory: predictable intelligence growth, plummeting costs, and economic upheaval. But what does this mean for our future?
The best AI startup ideas come from solving real-world inefficiencies, not chasing AI trends. Focus on deep industry problems, unique insights, and automation opportunities in outdated, manual processes.
This article provides a comprehensive guide for educators on how to effectively and ethically integrate AI into the classroom, exploring its various roles, benefits, challenges, and best practices for implementation.
The LLM T.E.S.T. Framework is a structured approach for evaluating Large Language Models (LLMs) across multiple dimensions. It determines an AI's true capabilities, reliability, and scalability for real-world applications, distinguishing truly useful models from those that merely appear intelligent.