Jul 29, 2025 09:42 PM
Heh. And back in the last decade, they were proclaiming it was exclusively bluecollar workers whose jobs would be threatened by AI.
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With no need for sleep or food, AI-built ‘scientists’ get the job done quickly
https://www.eurekalert.org/news-releases/1092265
INTRO: Imagine you’re a molecular biologist wanting to launch a project seeking treatments for a newly emerging disease. You know you need the expertise of a virologist and an immunologist, plus a bioinformatics specialist to help analyze and generate insights from your data. But you lack the resources or connections to build a big multidisciplinary team.
Researchers at Chan Zuckerberg Biohub San Francisco and Stanford University now offer a novel solution to this dilemma: an AI-driven Virtual Lab through which a team of AI agents, each equipped with varied scientific expertise, can tackle sophisticated and open-ended scientific problems by formulating, refining, and carrying out a complex research strategy — these agents can even conduct virtual experiments, producing results that can be validated in real-life laboratories.
In a study published in Nature on July 29, 2025, co–senior authors John Pak of CZ Biohub SF and Stanford’s James Zou describe their Virtual Lab platform, in which a human user creates a “Principal Investigator” AI agent (the PI) that assembles and directs a team of additional AI agents emulating the specialized research roles seen in science labs. The human researcher proposes a scientific question, and then monitors meetings in which the PI agent exchanges ideas with the team of specialist agents to advance the research. The agents are run by a large language model (LLM), giving them scientific reasoning and decision-making capabilities... (MORE - details, no ads)
RELATED (scivillage): Billionaires convince themselves AI chatbots are close to new scientific discoveries
- - - - - - - - - - - - - -
With no need for sleep or food, AI-built ‘scientists’ get the job done quickly
https://www.eurekalert.org/news-releases/1092265
INTRO: Imagine you’re a molecular biologist wanting to launch a project seeking treatments for a newly emerging disease. You know you need the expertise of a virologist and an immunologist, plus a bioinformatics specialist to help analyze and generate insights from your data. But you lack the resources or connections to build a big multidisciplinary team.
Researchers at Chan Zuckerberg Biohub San Francisco and Stanford University now offer a novel solution to this dilemma: an AI-driven Virtual Lab through which a team of AI agents, each equipped with varied scientific expertise, can tackle sophisticated and open-ended scientific problems by formulating, refining, and carrying out a complex research strategy — these agents can even conduct virtual experiments, producing results that can be validated in real-life laboratories.
In a study published in Nature on July 29, 2025, co–senior authors John Pak of CZ Biohub SF and Stanford’s James Zou describe their Virtual Lab platform, in which a human user creates a “Principal Investigator” AI agent (the PI) that assembles and directs a team of additional AI agents emulating the specialized research roles seen in science labs. The human researcher proposes a scientific question, and then monitors meetings in which the PI agent exchanges ideas with the team of specialist agents to advance the research. The agents are run by a large language model (LLM), giving them scientific reasoning and decision-making capabilities... (MORE - details, no ads)
RELATED (scivillage): Billionaires convince themselves AI chatbots are close to new scientific discoveries