the way Machine learning now feels is like "spews a lot of slop,, in the end , I am going to figure out something that works and use it.... [keep 2000 lines of slop]"

[Mahkhmood9]

1. "refactouring" means , better code practices , more readable functions,,, the user wanted to minify the codebase
2. this is just an example why CODEX Is better, codex would ask, what do you mean by refactour this codebase
3. Codex , is able to skim the codebase using rg , and it visits the AST , and crawl the syntax in a sense
4. codex is able to search a file, within a very very very large code
5. I given codex 5.4 medium , the task to add SOCKS5 support over the chromium codebase , it did it perfect Cl****de opus 4.7 didnt know how to even compile the code, because it didnt know to visit the "howto.md" and the documentation literally built into the large codebase
6. Codex is so good it takes 1second to do a large query , it firsts think of the codebase, instead of rushing to code

8. Codex doesnt rush , it ask the user what to do next, like "you asked me to refactour" , this word , could mean few things to other people "john thinks its a shoterning" , "Abdul thinks its legnthening the codebase " "and mukhamd thinks its a better code design"

9. classic openai W

10. codex is literally I ever wanted, it does git better than me ... it controls my packages better than me ,,, it does nginx better than me ,, it knows to deal with linux file premission better than me ,,,, and again I only use gpt5.4mini MNINI!.... from here whats left is for it to get cheaper, and to understand bad prompts (and improve prompt injections)

11. codex is amazing , its better than anything else---- yes it cant analyze files , yes its sometimes forget ,,, yes the "memorizes" functions stop after 400 lines .... yes it repeat mistakes .....

_____ 13... I know regret,, for example after repeated trial and error , the CODEX rushed into coding,,, I asked it over and over to improve , and it kindda failed ,,, its bad with opencv,,,, it doesnt know how to analyze Images , or really use opencv
---- 14..... I think the moment AGI comes I think it can analyze with opencv or whatever,, it stills needs a lot of improvement ,,, but its really great, more than I really ever wanted ... 10 years ago I wanted to get like an automated chatbot , that speak like a human , and no such product existed,,, now we are the the stages ,,, it does hard tasks ,,, and even less slopy than a human
15.... GPT.5.4 still cant reason for example research papers , even if given a lot of time , even if you ask it to summerize .... or to analyze your dataset , and make a simple ML vision

a ranking issue or whatever
16.... the only option is now to shorten the time to execute a task, it doesnt matter if you score 85% when before you scored 50 ... agi is about SHORTCUTS , less words, more highways and speedup