In a perspective published in the Journal of Medical Internet Research, Jian-min Liu, MD, PhD, argues that artificial intelligence cannot replace physicians in three key domains: holistic clinical obs…
Stanford researchers introduced DeLM, a decentralized language model framework that allows AI agents to coordinate directly without a central orchestrator, reducing inference costs and latency. The sy…
Only 16% of Americans believe AI will benefit society over the next two decades, according to Pew Research Center, even as 21% of U.S. workers use AI chatbots in 2025. The public's top fears include j…
A study published in Science found that ChatGPT outperformed hundreds of physicians in a diagnostic obstacle course using written medical cases and real-world patient information. The research, led by…
Stanford researchers introduced Decentralized Language Models (DeLM), a multi-agent framework that enables AI agents to coordinate without a central controller, achieving a 10.5 percentage point impro…
Stanford researchers released the Stanford EDGAR Filings Dataset (SEFD), a 152 billion token reconstruction of SEC EDGAR filings from 1994 to present in a layout-faithful MultiMarkdown format, achievi…
A study pitting ChatGPT against physicians in diagnostic challenges found the AI outperformed humans, raising concerns among doctors. Despite warnings from experts, AI tools are being rapidly integrat…
Stanford researchers proved in April 2026 that single-agent systems outperform multi-agent systems when compute resources are equal, a finding that challenges the current trend in AI development. The …
David Selinger, CEO of Deep Sentinel, worked at Amazon in the early 2000s as manager of customer behavior research, meeting with Jeff Bezos once or twice a week. Selinger describes Bezos as intensely …
An AI expert argues that claims of 5-10x productivity gains from AI are unsupported by rigorous studies, which show real gains of 15-40% in specific tasks and near-zero impact on whole-economy product…
AI-driven job cuts disproportionately target young tech workers aged 22-25, whose employment in high-exposure roles dropped 6-11% since late 2022, while older workers saw gains of 6-13%. Meanwhile, 75…
A growing number of surveys show that public perception of AI is turning negative, with one in five Swedes feeling ashamed to use AI at work and a majority believing AI will worsen the labor market, d…
A new study reveals that 69% of AI users admit to 'botshitting'—shipping unverified AI-generated work—with heavy users 64% more likely to do so. Researchers warn this behavior leads to moral disengage…
Josh Giegel, an early SpaceX employee, used his equity to pay off student loans, buy a home, and fund career changes. The 41-year-old AI startup cofounder says regular buybacks over the past decade pr…
A developer describes context compression as a technique to reduce token costs and improve LLM answer quality by filtering retrieved text before generation. Extractive compression keeps verbatim sente…
Nvidia CEO Jensen Huang warned Stanford students that the energy needed for computing could rise 1,000-fold due to always-on AI agents, far exceeding current capacity. He called for enhanced behind-th…
GreyOrange CEO Akash Gupta discussed AI-powered warehouse orchestration on The Robot Report Podcast, highlighting the company's GreyMatter platform that coordinates robots and workers in real time. Th…
A new paper co-authored by 37 researchers from Stanford, Carnegie Mellon, and the University of Michigan argues that the traditional paper format is obsolete in the AI era, citing "narrative tax" and …
White-collar workers spend an average of 6.4 hours per week "botsitting" AI — feeding it context, checking outputs, and correcting errors — according to a new report from Glean's Work AI Institute in …
A new analysis of 51 successful enterprise AI deployments by Stanford's Digital Economy Lab reveals a paradox: while customer support and IT operations are moving toward autonomous AI, software engine…