From the tenor of answers I take it that Nigel and Bernhard haven’t actually used Chat-GPT. They’re reacting to what they believe AI to be, rather than assessing it themselves. Sorry, but if that’s so, know that I place little value on low-fact opinion. Often built on shaky foundations: outdated experience, prejudice and fear of anything we don’t understand.
Before rushing to dismiss AI, try it and see. Chat-GPT is free. Might start by asking: does chat-gpt pass the turing test?
Then technical questions. Last week, for a real project that was eating time with a hard to trace bug, I asked: using the SparkFun_u-blox_GNSS_v3 library to capture GPS timestamps. Is it necessary to call myGNSS.checkCallbacks(). and got a good steer in seconds. Saved at least a week’s work because I didn’t have to drill into the library or read the datasheets. And Chat-GPT suggests more at the end of it’s answers, in this case: If you want, tell me which timestamp source you’re using (PVT, TIM-TP, PPS, Unix epoch, etc.) and whether this is Arduino / ESP32 / something else, and I can sanity-check your setup or suggest the cleanest approach. I took the offer up by typing “TIM_TP Teensy4.1”, and got an even better answer.
Or, a Model Engineer might ask “What is the most appropriate carbide insert for turning 20mm diameter EN3 rod on a 550W minilathe, top speed 2000rpm“. Out pops the answer, with an offer to identify a particular insert based on the tool holder.
Instead, I asked “would HSS be better”, and got an equally good answer, one that I don’t quite agree with!
“Bottom Line For a small, low-power lathe, HSS is often better than carbide for 20 mm mild steel. Carbide is useful if you need high-volume production or very hard materials, but for hobby or small workshop turning, HSS is safer, cheaper, and less likely to stall your machine.” That’s correct, but when chat-gpt compares carbide with HSS, it misses out the two factors most important to me: inserts are easy and convenient, and I don’t have to waste time grinding them. As AI explains the logic, it was easy for me to see what it did and did not consider.
Another example: ask chat-gpt “explain the tenor and logic of “Ummm, strip away the ghastly, totally bogus mateyness and general patronising, was that “Artificial Intell… what do you say it stands for? ” of any genuine help?” chat-gtp explains what Nigel means by that, suggesting plain English: “Forget all the fake friendliness and condescending tone. After you strip all that away, was anything you said about AI actually helpful?” chat-gpt concludes of Nigel’s wording: “It’s a mix of mockery, impatience, and a demand for substance over style.” Is AI wrong?
My main worry is AI being a threat to this forum. Many of us are here to help others by passing on what we know, and we do great job. Far from perfect, because people ask the wrong question, don’t answer the question, misunderstand questions and answers, fixate, conflate, have hobby-horses and prejudices, misremember, have partial understanding, are out-of-date, wander off topic, are too terse or too prolix, misjudge the level of response required, have sensitive delicate egos, or confuse technical issues with politics. In contrast, chat-gpt has a first class memory, is pretty much up-to-date, answers the question, does not wander, and has no prejudices or ego. It does suffer partial understanding because it depends on information provided by humans, which is often duff. It too is imperfect.
Nonetheless, I find chat-gpt consistently answers engineering questions better that most forum members. What AI doesn’t do is offer community, friendship, contacts or physical help. Be a shame to lose them to a machine that takes less than a second to give guidance on questions like ‘how can I identify the unknown thread on an machine screw‘
As with all new technology, AI is imperfect, and I’m expecting a commercial crash like the dot.com interlude. But make no mistake. it’s here, it works, and it will get better.
I’ve no doubt chat-gpt helped Michael with his microscope camera questions. Into microphotography myself, and know it’s not obvious what makes a camera suitable. Michael knows more about the subject than me and I’m sure he can tell the difference between good and bad answers to his questions.
Back to the Turing Test, Michael’s example demonstrates chat-gpt responding conversationally, which it does rather well. I don’t do that. I find it responds just as well to a few well-chosen words – enough to point it in the right directions. Though AI recognises and responds to social niceties, it doesn’t need them!
Dave