Simon Willison quotes Jakub Pachocki, Chief Scientist at OpenAI, arguing that the strongest reason to rapidly train smarter AI models is the necessity of building defensive systems against the dangers posed by other AI. Pachocki stresses that powerful, aligned AI will be essential for securing infrastructure, protecting against rogue agents in real time, and inventing new protective measures, making this a primary focus of OpenAI’s deployment efforts. He cautions that the urgency of progress should not justify reckless behavior, noting that the seriousness of the stakes makes a reckless race forward absurd.
OpenAI’s latest line of reasoning models will be used by nation’s leading scientists to drive scientific breakthroughs.
arXiv:2610.17085v1 Announce Type: cross
Abstract: On many estimates, artificial general intelligence (AGI) is likely to emerge within the next few decades or even sooner. Once it does, it may quickly...
By Matthew Rendall, Max Hellrigel-Holderbaum, Leonard Dung
Sam Altman has written that we are entering the Intelligence Age, a time when AI will help people become dramatically more capable. The biggest problems of today—across science, medicine, education, national defense—will no longer seem intractable, but will in fact be solvable.
arXiv:2608. 05173v1 Announce Type: cross Abstract: As AI capabilities advance, AI systems will pose greater risks to national security and potentially humanity as a whole.
By Peter Barnett
OpenAI CEO Sam Altman addressed the United Nations Security Council, emphasizing the importance of AI safety, maintaining human control over artificial intelligence, and fostering international cooperation. He highlighted the need for global collaboration to manage AI risks and ensure responsible development. Altman’s remarks underscored the role of international governance in shaping the future of AI technology.
The advancement of AI capabilities compels researchers and the public to be more aware of its potential worldwide impact. A pressing near-term concern is the regulation of military AI applications.
arXiv:2606. 11533v1 Announce Type: cross Abstract: The advancement of AI capabilities compels researchers and the public to be more aware of its potential worldwide impact.
By Ted Fujimoto, Jacob Benz
The paper argues that the rapid pace of AI-driven change creates an adaptation gap, making human resilience a crucial capability for the AI era. Resilience is defined as the ability to absorb disruption while maintaining effective action and agency, and is examined at psychological, social, and organizational levels. The authors link resilience research with AI-in-the-loop experiments, showing that AI assistance can boost productivity, empathy, and calibrated reliance, and propose a socio‑technical agenda for education, workplace design, governance, and evaluation.
By Shaoshan Liu, Anina Schwarzenbach, Yiyu Shi
arXiv:2608. 14565v1 Announce Type: new Abstract: AI safety research has mainly focused on two areas: technical alignment (ensuring AI systems produce human-aligned outputs) and the regulation of generative AI's societal impacts (including unemployment risk and labor market disruption).
By Jaeho Kim, Seokhyun Lee, Jieun Lee, Changhee Lee