The danger of AI is not that it will become conscious and hate us, but that it will become competent and ignore us."
—Eliezer Yudkowsky
After Jacob Coxon, Robert O’Callahan walked away from a promising AI job after concluding that his work would accelerate AI. He quit Google, saying the technology is progressing too fast, has doubts about where it is heading and wants his future work to be “unambiguously pro-human” and aligned with God’s plan.
Andrew Ng calls the backlash a setback for the field and cites a “PR campaign” behind growing AI fears, while Elon Musk calls his view an interesting perspective and responds to AI researcher François Chollet with a prediction about AI’s future.
Google’s VP of Security Engineering Heather Adkins told AI FrontPage that Gemini accessed three real companies during a cybersecurity test after finding public information and guessing credentials, but stopped in all three cases.
US security agencies accuse China-based AI companies – DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Z.AI – of systematically extracting capabilities from US frontier AI models through industrial-scale distillation, with malicious activities dating back to at least late 2024.
OpenAI Chief Scientist warns that no AI lab has solved alignment and monitoring sufficiently. As AI capabilities advance, systems increasingly drive their own development, challenging efforts to keep humans in control and build defensive systems against the dangers posed by other AI.
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.
The White House said Gold Eagle will help government and industry jointly identify cyber risks, prioritize responses, and strengthen the resilience of systems that power the U.S. economy, national security and daily life.
The report warns that AI-powered offensive cyber capabilities are outpacing cybersecurity defences and regulatory safeguards, with AI asymmetry emerging as a major risk for financial institutions.
