Image: Just Security
Chinese startup Zhipu AI has released a new AI model that can match Anthropic's flagship Mythos system at finding software security bugs in certain benchmark tests, according to cybersecurity company Semgrep.
While the model, called GLM-5.2, still trails America's top AI systems in many broader tasks, it's another sign the technology gap between the two countries is shrinking.
Security teams can use them to find hidden software flaws before they're exploited, review huge amounts of code in a fraction of the time, and help developers fix security problems sooner.
But at the same time, bad actors can use the latest AI models to look for those same weak spots before they're patched, search thousands of programs at once for potential entry points, and automate work that once took teams of people.
The potential downsides of new models have drawn pushback from the White House in recent weeks.
Some researchers worry the current US strategy could backfire. Chinese companies continue releasing cheaper, increasingly capable open-weight models while companies including Microsoft explore offering them on their platforms. If those models become easier for businesses to access, America's AI advantage may depend as much on adoption as innovation.
Zoom out: AI excitement is still running high, but some investors on Wall Street are becoming more selective about where they're placing their bets.
OpenAI is reportedly leaning toward delaying its IPO until next year as advisers question whether investors are ready to support CEO Sam Altman's targeted $1 trillion valuation, while the company continues spending billions on data centers, computing power, and recruiting top AI talent.
📊 Flash poll: In your opinion: Should the US govt’t have fewer rules around AI to promote innovation and boost competitiveness globally, even if it carries increased risks? Or should the US have stricter rules to make AI safe and/or fair, even if it slows innovation and competitiveness globally?

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