Major AI rivals including leaders from Anthropic, OpenAI, Microsoft, Meta, and Google DeepMind signed an open letter urging US lawmakers to close a biosecurity gap. They want companies selling synthetic DNA and RNA to screen orders for sequences that could help create dangerous pathogens. The concern is that more capable AI tools and cheaper biology infrastructure could lower barriers to misuse.
Ars Technica reports that Trump’s administration is considering government safety tests for advanced AI models before deployment. Critics argue the plan may be short-sighted and performative because DOGE cuts have weakened the US teams best positioned to conduct serious AI security reviews. The concern is that testing without staffing, transparency, and enforcement may not prevent dangerous deployments.
INSIDE examines how China’s Amap has become controversial in Taiwan beyond ordinary mapping or navigation use. The article says its service relies on user data and AI-based inference rather than full official data integrations. That model could send movement traces and behavioral signals back to China, creating risks for hybrid warfare intelligence, influence operations, and Taiwan’s broader governance of map data and digital infrastructure.
The White House and Congress are alarmed that US intelligence agencies are lagging in deploying classified AI tools due to a severe compute shortage. To address this, a $9 billion funding package has been allocated for the CIA and NSA. This capital aims to secure advanced chips and build the infrastructure needed to run next-generation AI models.
In this column published in Interconnects, author Nathan Lambert cites the latest observations from policy expert Dean Ball on the high-profile "Anthropic v…