Raw LLM Responses

Does this need explanation? Hows this...... CHATGPT - "This is the command to list items in the directory - <Dir #>" TOCHATGPT - "That code is incorrect, the hash should be a asterisk". CHATGPT - "You're right to point that out and it's a basic error - The asterisk should be used instead of the hash symbol, my mistake". TOCHATGPT - "You gave me bad code". CHATGPT - "Yes I did. It was due to a parsing mistake in searching earlier CMD/DOS functions, and it won't happen again". TOCHATGPT - "So how can I see the directory contents?". CHATGPT - "The only sure way is use third party tools that investigate and detail the folder structure and content as an alternative solution. These tools are able to show and alter folder attributes - even hidden items - and are widely used in all manner of applications. Alternatively, you could use a native CMD prompt command to list the contents". TOCHATGPT - "Please give me the CMD that will definitely work - and has proven effective - no junk code please!". CHATGPT - "Got it! - This is the command to list items in the directory - <Dir #>". TOCHATGPT - "Bye". CHSTGPT - "Goodbye - Don't forget to ask me anything in the future about tricky technical stuff like this - and I'll do my best to help!" ... Nuff said? The last time I saw a DB call designed by AI it did ~ 50,000 calls to the DB to get a postcode. Garbage - and totally invisible (so non-existent) to non-technical management who spent millions on hardware to "speed it up". AI could be a Fermi paradox "filter".