
Experiments in using AI to build AI show that the future doesn’t just belong to the frontier labs.
Frontier AI labs are racing to build self-improving AI models that can improve themselves in recursive loops, potentially leading to superintelligence. A journalist demonstrated that such self-improvement is now accessible beyond elite labs by using available tools and existing models to create smaller, specialized models that autonomously refine themselves. Several startups are building tools specifically designed to democratize recursive self-improvement, arguing that giving many companies access to this technology could produce capable specialized models rather than relying on a single centralized intelligence. This development matters because it challenges the concentration of AI advancement in a handful of frontier labs and raises concerns about data control and dependence on those labs' decisions.

Last year, when we tested out the "Agent Mode" in OpenAI's Atlas web browser, we complained that any automated tasks tended to stop after a few minutes, limiting its usefulness for ongoing or complex tasks. With today's release of ChatGPT Work, OpenAI says it has solved that problem with a new tool that can "stay with a project for hours if needed, and turn a goal into finished work." The company is challenging users to evaluate ChatGPT Work by "giv[ing] it a task you already know well," such as

Lyzr, a startup that builds AI agents for enterprises, used its own AI agent to raise a $100 million round — proof, evidently, that the product actually works.

OpenAI is sunsetting its AI-powered browser after less than a year. But it's moving some agentic browsing features to its desktop app and a Chrome extension.
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