MiniMax-M2 is the new king of open source LLMs (especially for agentic tool calling)

Watch out, DeepSeek and Qwen! There’s a new king of open source large language models (LLMs), especially when it comes to something enterprises are increasingly valuing: agentic tool use — that is, the ability to go off and use other software capabilities like web search or bespoke applications — without much human guidance. That model …

Beyond electronics: Optical system performs feature extraction with unprecedented low latency

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly extract key features from streams of raw data. This process is currently bottlenecked by traditional digital processors. The physical limits of conventional electronics prevent the reduction in latency and the gains in throughput required in …

From human clicks to machine intent: Preparing the web for agentic AI

For three decades, the web has been designed with one audience in mind: People. Pages are optimized for human eyes, clicks and intuition. But as AI-driven agents begin to browse on our behalf, the human-first assumptions built into the internet are being exposed as fragile. The rise of agentic browsing — where a browser doesn’t …

When your AI browser becomes your enemy: The Comet security disaster

Remember when browsers were simple? You clicked a link, a page loaded, maybe you filled out a form. Those days feel ancient now that AI browsers like Perplexity’s Comet promise to do everything for you — browse, click, type, think. But here’s the plot twist nobody saw coming: That helpful AI assistant browsing the web …

DeepMind introduces AI agent that learns to complete various tasks in a scalable world model

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks. Yet most of these systems still depend on enormous amounts of direct experience—millions of trial-and-error interactions—to achieve even modest competence.

Thinking Machines challenges OpenAI’s AI scaling strategy: ‘First superintelligence will be a superhuman learner’

While the world’s leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of the industry’s most secretive and valuable startups delivered a pointed challenge to that orthodoxy this week: The path forward isn’t about training bigger — it’s about learning better. …