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The article argues that slowing down frontier AI could have significant human costs by delaying beneficial research in areas like cancer and energy systems, and advocates for responsible acceleration rather than minimizing progress.
OpenAI reports progress in using AI agents to accelerate research, achieving over three days of agent work per human day, while its chief scientist Jakub Pachoki warns of risks from recursive self-improvement and advocates for a slowdown.
OpenAI's Kevin Liu shared data on how the company's researchers use AI coding agents to accelerate internal research, prompting discussion about recursive self-improvement and a sharp mid-July spike in token usage.
OpenAI reports reaching its goal of an automated research intern system and is making strong progress toward a fully automated AI researcher by March 2028, while detailing how internal coding agents are accelerating research and emphasizing the need for parallel alignment and safety work.
ml-intern has processed over 1M messages in 3 weeks, enabling accelerated ML research with user projects including model training, architecture replication, and automation tasks.
OpenAI demonstrates GPT-5's capability to accelerate biological research by autonomously optimizing a molecular cloning protocol in collaboration with Red Queen Bio, achieving a 79-fold improvement in cloning efficiency through novel enzymatic mechanisms. The work showcases AI's potential to support experimental iteration and empirical validation in wet lab settings while highlighting biosecurity considerations.
Google DeepMind is partnering with the U.S. Department of Energy to support the Genesis Mission, providing scientists access to AI tools like the AI co-scientist to accelerate scientific discovery and innovation.