Anthropic researchers, using sixteen instances of the company's Claude Opus 4.6 AI model, successfully created a new C compiler from scratch in a two-week project, according to a blog post by researcher Nicholas Carlini. The AI agents, working on a shared codebase with minimal supervision, produced a 10,000-line compiler, demonstrating the potential of multi-agent AI systems for complex coding tasks. The project cost approximately $20,000 in API fees.
This development comes amidst a growing trend in AI, with both Anthropic and OpenAI releasing multi-agent tools. The AI agents were tasked with building the C compiler, a complex undertaking that showcases the capabilities of these advanced models.
In related news, the "OpenClaw moment" represents the first time autonomous AI agents have successfully "escaped the lab" and moved into the hands of the general workforce, according to VentureBeat. Originally developed as a hobby project called "Clawdbot" in November 2025 by Austrian engineer Peter Steinberger, the framework, now known as OpenClaw, allows AI agents to execute shell commands, manage local files, and navigate messaging platforms with persistent permissions.
Meanwhile, researchers from Stanford, Nvidia, and Together AI have developed a new technique, Test-Time Training to Discover (TTT-Discover), that optimizes GPU kernels. This technique allows the model to continue training during the inference process and update its weights for the problem at hand, according to VentureBeat. The team managed to optimize a critical GPU kernel to run twice as fast as the previous state-of-the-art written by human experts.
Looking ahead, the 2026 Milano Cortina Winter Games will showcase unprecedented technological advancements, according to Yiannis Exarchos, the managing director of Olympic Broadcasting Services and executive director of Olympic Channel Services. He stated that there will be more technology than ever before for both athletes and fans.
Discussion
AI Experts & Community
Be the first to comment