In recent years, the contentious relationship between technology, governance, and public policy has sparked fierce debates, particularly as it pertains to immigration enforcement in the United States. Nowhere is this more evident than in the ongoing collaboration between the Immigration and Customs Enforcement (ICE) agency and Palantir Technologies, a data analytics company renowned for its
AI
The AI landscape is undergoing a radical transformation, characterized by a surge in the capabilities of artificial intelligence through expansive models that possess billions of parameters. NVIDIA, a titan in the tech sector led by its dynamic CEO Jensen Huang, is at the forefront of this revolution. During the recent GTC keynote, Huang elucidated the
Artificial intelligence is on the brink of revolutionizing the way we interact with technology. In the coming years, we can anticipate a world where AI agents take on an increasing array of tasks, streamlining daily chores and enhancing our productivity. However, we must first confront one glaring limitation: the current generation of AI agents remains
In a world increasingly driven by data, the need for advanced artificial intelligence solutions has never been more crucial. Retrieval Augmented Generation (RAG) is a concept that is revolutionizing how businesses extract insights from their unstructured data. This development aligns seamlessly with the growing interest in agentic AI—intelligent systems that enhance user capability and efficiency.
In the ongoing battle for supremacy in the realm of artificial intelligence, OpenAI has unveiled an exciting new family of coding-dedicated models that are set to reshape the landscape for developers. With the competitive pressure mounting from tech behemoths like Google and Anthropic, this move symbolizes OpenAI’s commitment to leading the charge in AI-assisted coding.
Intelligence, an often-misunderstood concept, exists in various forms across different domains, yet our methods of measuring it remain deeply flawed and subjective. One common practice for assessing intelligence, particularly in education, revolves around standardized testing. Students regularly memorize strategies and techniques in hopes of achieving a perfect score, yet this single numerical representation—such as a
The artificial intelligence (AI) landscape is evolving rapidly, and language models are at the forefront of this transformation. The recent emergence of large language models (LLMs) has been nothing short of revolutionary. These models, led by, among others, OpenAI and Google, leverage hundreds of billions of parameters—think of them as the intricate gears and levers
In a dramatic shift that underscores the intricacies of global trade, U.S. President Donald Trump recently postponed significant tariffs on consumer electronics, a move that aims to address ongoing stock market volatility and pressure from the tech sector. As tariffs on electronic goods manufactured in China were set to reach staggering heights—including a proposed 145%
In recent months, the confluence of advanced technologies and government functions has reached a pivotal moment with Elon Musk’s bold initiative, the Department of Government Efficiency (DOGE). At the heart of this revolution lies Palantir Technologies, a company co-founded by Peter Thiel, facing both intrigue and skepticism in equal measure. Together, these entities strive to
In an exciting development within the realm of artificial intelligence, the joint efforts of researchers from Together AI and Agentica have culminated in the release of DeepCoder-14B. This coding model proficiently challenges the status quo, demonstrating capabilities that rival those of prominent proprietary models like OpenAI’s o3-mini. However, what truly sets DeepCoder-14B apart is its