Sam Altman outlined to OpenAI staff three possible endings to the global AI race and called the third one terrible. 01net notes that this scenario looks a lot like his own company's path.
Sam Altman intends for OpenAI to develop its own humanoid robot, and a demonstration could come next year. He stops short of promising that a commercial product will follow soon after.
In Foreign Affairs, Niall Ferguson, Lisa Klaassen and Eric Schmidt describe the US and China as AI empires and other countries as dependencies, arguing the race will be won by whoever can pay for it. US companies alone plan to spend over $600 billion in 2026, though debt, data center protests and a possible Taiwan chip crisis could slow both powers.
A new P-Zero Research benchmark measures how well AI models design and assess experiments on their own. Scores are rising so quickly that Jack Clark now believes self-improving AI could arrive by 2027.
OpenAI describes how it has tightened containment around the training and evaluation of its frontier models. Measures include offline environments and red-teaming carried out with large amounts of compute.
Some researchers believe recursive self-improvement could trigger an explosion in AI capabilities and in the associated risks. Others dispute that outlook and consider the automation of research manageable.