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For a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words, and… [...]
Railway, a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B… [...]
The artificial intelligence coding revolution comes with a catch: it's expensive.Claude Code, Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomously, has captured the imagination of software… [...]
Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg's $100 million offers seemed impossible. So he spent… [...]
Salesforce on Tuesday launched an entirely rebuilt version of Slackbot, the company's workplace assistant, transforming it from a simple notification tool into what executives describe as a fully powered AI… [...]
Often debates about education are framed as non-tech versus AI approaches, but too often, AI ed tech just magnifies the same failures of traditional school. [...]
Vibe coding is the creation of large quantities of highly complex AI-generated code, often with the intention that the code will not be read by humans. It has cast quite… [...]
Close reading is a technique for careful analysis of a piece of writing, paying close attention to the exact language, structure, and content of the text. As Eric Ries described… [...]
Chronic boredom is harmful to adults, causing stress, disengagement, and poor well-being. Academic researchers have shown that boredom in the workplace can be just as damaging as burnout. But search… [...]
Large language models make it remarkably easy to generate code. Ask ChatGPT or Claude to build an application, and you’ll receive hundreds of lines of working code in seconds. But… [...]
Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch,… [...]
Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits.MeMo,… [...]
At 620 million monthly users, calling a frontier model for every image recommendation isn't a strategy — it's a bill. Pinterest CTO Matt Madrigal solved it by gutting Qwen3-VL's vision… [...]
As enterprise AI agents move into production, organizations are confronting a growing reliability problem. Many teams are discovering that LLM performance alone does not determine whether agents succeed in production.… [...]
Test-time scaling (TTS) has emerged as a proven method to improve the performance of large language models in real-world applications by giving them extra compute cycles at inference time. However,… [...]