DO NOT throw any engineering questions at Chat GPT

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SUMMARY

This discussion highlights the capabilities and limitations of ChatGPT in addressing engineering questions, particularly in mechanical engineering and biochemistry. Users have noted that while ChatGPT can provide answers and methodologies, it is prone to inaccuracies, necessitating critical evaluation of its responses. The conversation emphasizes the importance of human oversight when utilizing AI tools, as reliance on incorrect information can lead to significant misunderstandings. Overall, the participants acknowledge the potential for AI to enhance learning and problem-solving while remaining vigilant about its shortcomings.

PREREQUISITES
  • Understanding of AI capabilities and limitations
  • Basic knowledge of mechanical engineering concepts
  • Familiarity with biochemistry terminology
  • Experience with critical thinking and error detection in AI responses
NEXT STEPS
  • Research the latest advancements in AI language models, focusing on ChatGPT updates
  • Explore methodologies for verifying AI-generated information in technical fields
  • Learn about the integration of AI tools in engineering workflows
  • Investigate the use of LTSpice for circuit simulation and its limitations
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Engineers, researchers, and students in mechanical engineering and biochemistry, as well as professionals interested in the practical applications and limitations of AI in technical fields.

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TL;DR
Playing with chatGPT to do some calculations is kind of humbling...
This chatbot has been getting a lot of notice lately - my son, a mech E and I were throwing a variety of questions at it, and then with a bio-chemist last nigh at dinner ( geeks - yes) - anyway. It fun but also makes you feel a little obsolete... I threw a magnetic / induction question at it that I could find anyone to answer and now I have to re-think some issues!

lol
 
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It is remarkable. But it is still at the stage where it sometimes gets the answers completely wrong. But expect it to improve greatly in coming months.

But that makes a good lesson for all of us dealing with any AI. It can ease our jobs. We can learn from it. But we must be on guard for completely wrong answers. Anyone using it who is not capable of detecting the AI's errors is a fool. That statement may remain true no matter how good the AI gets.
 
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I appreciate that it gives the methodology of the solution so you can work through it. The answers can be at "executive summary" level, but it does allow you you to continually query the answers and dig deeper. I have to check on a wrong answer and ask it to explain what the difference is between the correct answer and the ChatGPT one... would be interesting.

Luckily - our language is schematics - and not easy to input, well there is netlist. ( It apparently does not have acess to LTSpice models...)
 

Thread 'uA709 op amp compensation'

Most likely this can only be answered by an "old timer". I am making measurements on an uA709 op amp (metal can). I would like to calculate the frequency rolloff curves (I can measure them). I assume the compensation is via the miller effect. To do the calculations I would need to know the gain of the transistors and the effective resistance seen at the compensation terminals, not including the values I put there. Anyone know those values?
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