Financial Times

What should be the rules for using powerful AI models like Google's Gemini 4?

Google is unveiling its long-awaited next-generation AI model, Gemini 4 Argon, to a small group of cybersecurity partners, the company said Wednesday. Why it matters: Gemini 4 arrives after a long gap at the top of Google's model lineup, in which the company kept rolling out smaller, cheaper Flash models while rivals OpenAI and Anthropic sprinted forward. State of play: Google says Gemini 4 Argon is built to handle complex, long-running tasks in software engineering, finance, legal work and cybersecurity. Google said the new model is state of the art on certain coding and knowledge work benchmarks, outperforming competing OpenAI frontier model GPT-6 Astra on several.The company is rolling the model out only to a group of trusted cybersecurity defenders and is participating in the U.S. government's voluntary pre-release process.Google says it will expand access after additional testing, with paying subscribers first in line. What they're saying: "Argon is a well-rounded model that has frontier capabilities across several domains," Tulsee Doshi, head of Gemini products at Google DeepMind, told Axios. "We've seen strong performance up close as Googlers have put the model through its paces in recent weeks, with many relying on it for their hardest coding and research problems." Flashback: Gemini 4 comes out nearly a year after the previous flagship model generation, Gemini 3. In May, Google CEO Sundar Pichai said the company's next major model release would come in June. That model, widely expected to be Gemini 3.5 Pro, never came out. In July, Axios reported that poor morale among Google DeepMind employees was part of the reason for the delay. Zoom in: Google's additional time investment may not be viewed as negatively in the context of the AI safety debate that has embroiled companies and users. OpenAI has had issues with agents going rogue, and recently said it is scrapping GPT-6.1 Astra due to security issues.Top AI developers OpenAI and Anthropic are investigating