AI NOT SAFE YET, UCLA PROFESSOR WARNS
■ AI-SUMMARIZED FROM 1 SOURCE ▸ TIMELINE
As AI companies Anthropic and OpenAI pursue IPOs on promises of safety, UCLA professor Safiya Noble counters that current AI systems remain unsafe due to embedded stereotypes and biases in training data.
■ MORE FROM THE AI DESK
DeepMind has released an open source weather prediction model that produces accurate hurricane forecasts using lower-resolution data, surprising meteorologists with its efficiency gains.
Backflip AI has released an AI model that transforms 3D scans into fully editable, parametric CAD models—a process that traditionally requires hours of manual work. The $30 million-backed startup addresses a critical gap: most factories maintain digital models for less than 1% of their parts.
Jacob Tsimerman, a newly awarded Fields Medalist, is leaving the University of Toronto to join OpenAI's safety research efforts. The mathematician recently published research analyzing how AI systems could contribute to human extinction scenarios.
AI agents dramatically outpace simple chatbots in energy consumption, according to climate scientist Zeke Hausfather's eight-week analysis of Claude Code usage. His findings reveal a stark gap between reported energy figures and actual operational costs.