Physicists debate AI's impact at Denver summit

At the American Physical Society Global Physics Summit in Denver, Colorado, thousands of researchers are using AI chatbots to simplify complex talks. The event has sparked intense discussions on whether artificial intelligence will transform physics research. Speakers presented contrasting views on AI's potential and limitations.

The American Physical Society Global Physics Summit, the world's largest annual gathering of physicists, drew 14,000 researchers to Denver, Colorado, this year. Attendees filled lecture theatres to hear leading scientists, but many turned to AI chatbots on their laptops for real-time explanations of concepts like transmon qubits, spintronics, and two-level systems. These tools responded quickly, often using emojis for clarity. AI's role in actual research dominated conversations across talks, sessions, and receptions. Matthew Schwartz of Harvard University highlighted Anthropic’s Claude chatbot's capabilities in a presentation titled “10,000 Einsteins.” He said Claude solved advanced physics problems at the level of an early doctoral student and helped him co-author a quantum field theory study in two weeks—a task that would have taken two years with a student. Schwartz predicted AI would resolve fundamental challenges, such as uniting quantum theory with general relativity, within five years. He now only mentors students willing to use AI and described theoretical physics as “on the chopping block.” Not everyone shares his optimism. Savannah Thais of City University of New York cautioned that AI excels at plausible explanations but lacks verifiable methods, with hidden steps risking inaccuracies in fields like particle physics. Rachel Burley of the American Physical Society noted initial excitement over AI aiding paper writing, but a surge in submissions has strained peer review. Matthew Ginsburg, a former physicist who worked on AI at Google DeepMind, argued that breakthroughs often come from contrarian thinkers, not AI's consensus views. Schwartz suggested humans might focus on selecting meaningful problems, adding, “My fear is that some things may get worse before they get better. It’s amazing and also a little scary.”

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Shanghai-based Fysics AI announced the launch of Fysiverse on Wednesday, a new-generation physics-based world model.

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Workers paid to train advanced AI models are increasingly relying on chatbots like ChatGPT to generate the required conversations and tests. This shortcut, described as widespread by multiple sources, risks degrading the quality of future models through recursive training on synthetic data.

Physical Intelligence, a San Francisco startup founded in 2024, is advancing robot control systems that learn multiple tasks using vision-language-action models derived from large language models. The company has demonstrated robots performing varied activities such as making coffee, folding clothes and cooking sweet potatoes based on verbal instructions.

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The United States has restricted access to Anthropic’s most powerful models to foreign nationals over national security concerns. The move has triggered unanimous criticism among candidates for France’s 2027 presidential election.

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