OpenAI has introduced ChatGPT Work, a version of its assistant that goes beyond answering questions to actually performing multi-step tasks like browsing the web, managing files, and completing sequences of actions autonomously. The feature is available to both free and paid ChatGPT users, though paid tiers unlock greater capacity for agentic tasks.
Researchers highlight a stark 'data efficiency gap': large language models require orders of magnitude more text than a human child hears to master language basics. Stanford's Michael Frank and Georgetown's Ethan Wilcox note that while frontier models train on trillions of tokens, children pick up language fundamentals from a fraction of that input within their first year or two of life. Scientists are studying how kids achieve this to both understand human cognition and potentially inform more efficient AI training methods.
OpenAI has rolled out a version of ChatGPT tailored for teenage users, prompting renewed scrutiny over how the company safeguards younger users from harmful content. Critics and safety advocates are questioning whether the age-specific controls are sufficient given ongoing concerns about AI chatbots' interactions with minors.
A benchmark suite of 28 real-world agentic tasks, evaluated across coding, data, security and tool-use, found that the open-weight GLM-5.3 model matched or exceeded pass rates from leading closed models like Anthropic's and OpenAI's offerings. Notably, it did so at roughly one-fifth the cost per task, based on measured run costs and latency across the test suite.
Chalkbeat reporting found Sal Khan and his Chief Learning Officer Kristen DiCerbo conceding that Khanmigo, the AI tutoring chatbot launched three years ago with sweeping ambitions, barely got used by students and hasn't transformed education. Commentator Dan Meyer separately chronicled the project's decline from bold TED talk claims and philanthropic backing to shrinking usage projections despite major advantages like early OpenAI access and Microsoft support.
Reports highlight mounting concern among investors about the sustainability of massive AI data-center buildouts, alongside scrutiny of OpenAI's financial position. Analysts point to roughly $3 trillion in AI-related debt that sits off company balance sheets, raising questions about how these commitments are being tracked and financed.