Engineers Versus Scientists ChatGPT
Just some leading questions to ChatGPT with responses and pushback. A fun Friday read. I am focused on executing a new technology to bring the best small molecules into drug discovery research, and funding sources always ask what is your clinical proof - or what is your derisked drug ready to go into the clinic. This makes it a chicken-and-egg issue because execution is the first step to obtaining proof. So it is always a trick question. The problem is that we have lined up some of the biggest academic and several commercial institutions to screen and test our small molecules from natural unculturable microbes and microbiomes, but investors are inevitably scientists, and they typically hate to try anything new with the money they manage unless you have a proven scientific background and are "blank-checkable." So just to get my head around the difference is how engineers and scientists think - I reached into AI from ChatGPT.
Question: Is it fair to say engineers work to make it possible and scientists work to prove it is possible?
ChatGPT Answer: It is difficult to make a general statement about the roles of engineers and scientists as their responsibilities and expertise can overlap and vary depending on the field and context.
In general, engineers design and build systems, structures, or devices to solve practical problems or improve existing technologies. They use scientific principles and knowledge to design and develop solutions, but their primary focus is on the practical application of these principles.
On the other hand, scientists work to understand the natural world through observation, experimentation, and analysis. They seek to develop and test hypotheses, theories, and models to explain and predict natural phenomena. Scientists may collaborate with engineers to develop and apply new technologies based on their scientific findings.
In some cases, engineers and scientists may work together closely to design and test new technologies or solutions, with scientists providing the theoretical foundation and engineers bringing it to life through practical implementation.
Question: Is it true that engineers will work to make something possible and are generally trailblazers, and scientists work to prove it is not possible or conclude it is not possible until proven and peer-reviewed?
ChatGPT Answer: No, this is not an accurate generalization. Both engineers and scientists work towards making things possible and proving their theories or designs through experimentation and testing. The difference between the two fields lies in their focus and approach. Engineers are typically focused on practical applications and use their knowledge of science and math to design, build, and test devices, systems, or structures. On the other hand, scientists are focused on understanding the natural world and advancing knowledge through research and experimentation. While their approach may be different, both engineers and scientists are essential in advancing human knowledge and technology.
Question: Which discipline is more focused on solving what was previously concluded as impossible?
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ChatGPT Answer: Both engineers and scientists can be focused on solving what was previously concluded as impossible. However, the approaches they take may differ. Engineers may use a more practical and application-oriented approach to solve a problem, while scientists may use a more theoretical and research-oriented approach to understand and solve a problem. In some cases, interdisciplinary teams of both engineers and scientists may work together to tackle complex and challenging problems that require a combination of practical and theoretical solutions.
Question: If engineers build systems and processes to improve possibilities or breakthroughs, isn't it generally the scientists that validate the improvement?
ChatGPT Answer: Yes, engineers can build systems and processes to improve possibilities or make breakthroughs, but it is often scientists who validate these improvements or breakthroughs through rigorous testing and experimentation. Scientists are responsible for designing and conducting experiments to determine whether the improvements or breakthroughs actually work as intended and are safe and effective for their intended purposes. Engineers and scientists often work together to bring new technologies and innovations to fruition.
Thank you for the clarity -
Biosortia is ready to prove the reality of Industrial Scale Microbiome Mining and needs the support to execute the next set of testing that proves the validity (that we have proved internally, and with peer-reviewed papers). It seems like funding sources are just making excuses because they seek complete perfection prior to taking a low risk OR we just have talked to the right people who do want to see a breakthrough technology impact all of the life sciences.
Also, see this article-
Thank you, and feel free to contact me.
Ross Youngs
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1 年Vanessa Valore Did we forget to include #chatgpt on our call today? haha ??
Celestial Steward ?? | Co-Founder & Chief Scientist | Astrodynamicist | MacArthur "Genius" Fellow | TED Fellow | IntFRSE | Professor | Data Rennaiscientist | Global Speaker
1 年I find this to be hilarious. The simple truth is that science is nothing more than knowledge and the creation of it and engineering is problem solving. ????♂? I believe we overcomplicate things by attempting to categorize what people are and do with binary constraints that are largely invalid.
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1 年do you think chatgpt will help engineers make decisions faster? #science #chatgpt
独特地从天然微生物组中获得未知的药物样小分子作为治疗起点
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We can greatly reduce the need for chemical inputs and reducing our carbon footprint
1 年It is obvious to me that whoever wrote the software is neither an engineer nor a scientist. Why do I say that you will ask? Because anyone who has studied engineering will (should) know that everything about engineering is first founded upon science. While some scientific evidence may be discovered in the so-called engineering trial and error, it takes science to understand - and a great deal of mathematics to transform that understanding into repeatable results. As an "old school" chemical engineer, we had to learn a lot of science, some of which other engineering curriculums did not require at the level we had to attain, but had to have some, nonetheless. What we all had in common. though, was a large amount of mathematics, and a healthy dose of written communications because, what good is learning if you can't communicate it? I believe there is a place for AI in expanding knowledge; however, I do not see any way that AI can do basic, applied research. It can only take what is known from science and attempt to create theories that must still be proven. Thanks for sharing, Ross Youngs!