The previously, I used LucaMsGPT, now I use AericGPTI have used Perplexity and ChatGPT; the latter is clearly better.
I hope it also bases its answers on the many fixes I have provided to it (ChatGPT)
LucaMsGPT humor settings are pretty high.The previously, I used LucaMsGPT, now I use AericGPT
You really should give Copilot a go.Great news: yesterday I noticed that while generating source code B4*, ChatGPT is getting worse and worse.
Simple example: it generated 5 or 6 Subs in total and 2 of them were not called. Moreover, one of them was used to... declare global variables at module level!
Instead of getting better, it is getting worse day by day.
I'll have to look for information, since I have "a feeling" I should have Windows 10+ and instead I have a laptop that is about 83 years old.You really should give Copilot a go.
I'll try to ask Copilot
I am on Windows 10 but you might just need the Edge browser.I'll have to look for information, since I have "a feeling" I should have Windows 10+ and instead I have a laptop that is about 83 years old.
You can also go to the site, with any browser, which I did. It's terrible.I am on Windows 10 but you might just need the Edge browser.
Same here, I am using Copilot extensively. I have found that if at times if a LLM text file is provided, it makes it easy for it to provide answers.ut have found Copilot much better than ChatGPT
I agree with pretty much all of this - Machine Learning at this stage is a coding assistant.One thing I can see that the current AI cannot replace a programmer (for the time being) is working on a complete project.
In real world, a project consists of a lot of files, modules, classes, data and logics behind.
Some resources are stored or documented on different location, servers, database, software and platforms.
Can it remembers and do thorough search?
For example, the AI provided you the code last week. Today, you ask it about the project again.
How about tomorrow you ask it again? and the day after tomorrow and so on...
Maybe you can say yes, "it thinks" but what I understand is, it will read and scan through all the files again.
A human can roughly know where the "location" (file path) or the "exact" object to find straight to the point,
provided the project is well organized in a structure which is "designed for human" to understand.
Let say it made a modification yesterday. Can you ask it to reverse what is changed?
Another scenario is a team of programmers are using AI to work on the same project.
Can it know the chronology and details who are responsible on which part?
Maybe yes with another tool to manage the audit log. But why we need it when now we don't?
Will it commented a todo and later come back to it?
Will it avoid something that a part of code which is marked dangerous not to touch or has warning code.
In a real world project, there are many parts may need improvement.
Can it provide some good ideas that cover every aspect?
I think it only can work on a specific scope.
A project is on going. Is AI part of the team?
I just had another 2 day conversation with Copilot to build a real time filtered log message capability into an ABMaterial web app:So far my ranking is:
- Grok
- ChatGPT
- Copilot
Did you realize that when they get into loop, you also get into loop (between them)?The method that seems to work best for me is to start with one, e.g. ChatGPT, until the results are satisfactory. When it reaches a point where it starts looping and can’t solve the problem, repeating the same mistakes, I take the best result achieved and present the issue again to, say, CoPilot, which has a different reasoning pattern and often helps to unlock the situation. Then, if CoPilot eventually starts looping too, I go back to ChatGPT
Yes I have found that just starting a new conversation in Copilot - very easy to do - will quite often break the impasse,The method that seems to work best for me is to start with one, e.g. ChatGPT, until the results are satisfactory. When it reaches a point where it starts looping and can’t solve the problem, repeating the same mistakes, I take the best result achieved and present the issue again to, say, CoPilot, which has a different reasoning pattern and often helps to unlock the situation. Then, if CoPilot eventually starts looping too, I go back to ChatGPT
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