Rapamycin in the context of Pascal's wager: Collaborating with ChatGPT to write a research perspective piece

Large language models utilizing transformer neural networks and other deep learning architectures demonstrated unprecedented results in many tasks previously accessible only to human intelligence. In a new paper, Dr. Alex Zhavoronkov from Insilico Medicine used the ChatGPT Generative Pre-trained Transformer by OpenAI to discuss the use of rapamycin for anti-aging through the philosophical framework of Pascal's wager.

"In this article, we collaborate with ChatGPT, an AI model developed by OpenAI to speculate on the applications of Rapamycin, in the context of Pascal's Wager philosophical argument commonly utilized to justify the belief in God," said Dr. Alex Zhavoronkov.

In response to the query, "Write an exhaustive research perspective on why taking Rapamycin may be more beneficial than not taking Rapamycin from the perspective of Pascal's wager," ChatGPT provided the pros and cons for the use of Rapamycin considering the preclinical evidence of potential life extension in animals. This article demonstrates the potential of ChatGPT to produce complex philosophical arguments and should not be used for any off-label use of Rapamycin.

"In conclusion, the decision to take Rapamycin or not is ultimately a personal one, and it will depend on an individual's values and priorities. From the perspective of Pascal's wager, taking Rapamycin could potentially provide significant health benefits and extend lifespan, but it also carries the risk of side effects and long-term health problems. Ultimately, the decision should be made in consultation with a health care provider, who can provide guidance and advice based on an individual's specific situation," writes ChatGPT.

"The ability of the large language models, and other AI systems to make meaningful contributions to academic work may justify future co-authorship on academic perspective, review and research papers," notes Zhavoronkov.

The research perspective was published in Oncoscience on December 21, 2022.

For more such news & interesting articles or how can it affect in your life subscribe to our newsletter

Comments

Computers that power self-driving cars could be a huge driver of global carbon emissions

In the future, the energy needed to run the powerful computers on board a global fleet of autonomous vehicles could generate as many greenhouse gas emissions as all the data centers in the world today. Join our whatsapp group for latest articles updates. That is one key finding of a new study from MIT researchers that explored the potential energy consumption and related carbon emissions if autonomous vehicles are widely adopted. The data centers that house the physical computing infrastructure used for running applications are widely known for their large carbon footprint: They currently account for about 0.3 percent of global greenhouse gas emissions, or about as much carbon as the country of Argentina produces annually, according to the International Energy Agency. Realizing that less attention has been paid to the potential footprint of ...

Novel design helps develop powerful microbatteries

Translating electrochemical performance of large format batteries to microscale power sources has been a long-standing technological challenge, limiting the ability of batteries to power microdevices, microrobots and implantable medical devices. University of Illinois Urbana-Champaign researchers have created a high-voltage microbattery (> 9 V), with high-energy and -power density, unparalleled by any existing battery design. Join our whatsapp group for latest articles updates. Material Science and Engineering Professor Paul Braun (Grainger Distinguished Chair in Engineering, Materials Research Laboratory Director), Dr. Sungbong Kim (Postdoc, MatSE, current assistant professor at Korea Military Academy, co-first author), and Arghya Patra (Graduate Student, MatSE, MRL, co-first author) recently published their paper "Serially integrated ...

ChatGPT writes convincing fake scientific abstracts that fool reviewers in study

Could the new and wildly popular chatbot ChatGPT convincingly produce fake abstracts that fool scientists into thinking those studies are the real thing? Join our whatsapp group for latest articles updates. That was the question worrying Northwestern Medicine physician-scientist Dr. Catherine Gao when she designed a study—collaborating with University of Chicago scientists—to test that theory. Yes, scientists can be fooled, their new study reports. Blinded human reviewers—when given a mix real and falsely generated abstracts—could only spot ChatGPT generated abstracts 68% of the time. The reviewers also incorrectly identified 14% of real abstracts as being AI generated. "Our reviewers knew that some of the abstracts they were being given were fake, so they were very suspicious," said corresponding author Gao, an instructor in pulmonary an...

Post Scientist

Search This Blog