The American people do not want to be tracked and recorded by AI"
—Senator Bernie Sanders
Frontier AI models are doubling their offensive cyber performance every six months while costs crash. Banks, telecoms, energy firms and critical infrastructure are the next high-value targets, warns Irregular CEO Dan Lahav, who is calling for urgent Differential Defensive Cyber Acceleration.
Frontier AI models now surface security findings faster than any team can read them. NIELIT’s Cyber Kushti 2026 hands participants a deliberately imperfect assessment package and scores them on what they reject as much as what they fix.
While praising the homegrown AI companies, Wise also noted that these companies still lag behind their US and China based peers in terms of capital investment and overall AI adoption.
The global competition for frontier AI is no longer focused solely on developing more capable models. Australia is preparing organizations for the cybersecurity risks posed by increasingly powerful AI systems.
Researchers and executives from OpenAI, Anthropic, Google, Meta,, and other frontier AI companies are urging US government support for AI pacing tools, arguing competition makes it hard for individual companies to slow down.
There has not been any official complaint by Anthropic against Moonshot AI of training their Kimi K3 model through distillation of Claude Fable model.
The path to Artificial General Intelligence (AGI) is challenging but what’s even more challenging is a global consensus on what and who qualifies as “Frontier Class” and who gets to decide that.
Hundreds marched to the San Francisco offices of Google, OpenAI and Anthropic on July 11, demanding a moratorium on frontier AI development. In an exclusive conversation with AI FrontPage, Evitable CEO David Krueger said the race to build smarter-than-human AI is “extremely unpopular” and proceeding despite active public resistance.
Your AI chatbot may be polite, helpful — and terrible at keeping your secrets. A new study accepted at ICML 2026 pressure-tested 24 of the world’s leading AI models through 904 adversarial conversations and found that 17 of them fail to protect user privacy when pushed.
Google’s new white paper calls for a federally overseen Frontier AI Regulatory Organisation (FARO) to set safety standards for the most advanced models, while pushing the government to adapt existing laws for everyday AI tools like chatbots
