Out of the Lab, Into the Code: An Age of AI Scientists?

It sounds promising: AI chatbots acting as scientists, condensing
the work of weeks, months, or even years of reading, debate, and
hour-long lab meetings into minutes. Researchers at Stanford
University and Google DeepMind have released multi-agent AI
“scientist” systems. But how good are they, really, and will they
overcome current limitations of large language models like OpenAI’s
GPT or Google’s Gemini—such as the lack of robust reasoning
capabilities, which are crucial for scientific discovery? In the
38th episode of the BioRevolution Podcast, Andreas Horchler and
Louise von Stechow discuss the promise and the reality of AI
scientists. Learn more about the future of biotech in our podcasts
and keynotes. Contact us here: scientific communication:
https://science-tales.com/ Podcasts: https://www.podcon.de/
Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow Image:
Igor Saikin via Unsplash