- Making functions async without need; it doesn't know the difference between the two or in which scenarios to use them.
- Consistently fails to make changes to the frontend if a project grows above 5000 LOC or a file goes near 1000 LOC.
- The worst part is it lies after making changes.
ChatGPT:
- Fails to implement mid-complex functionality such as scrolling to the bottom when new logs are coming in and not scrolling when the user is checking historical logs.
These models are good at mainstream tasks, the snippets of which you find a lot in repositories. Try to do something off-beat such as algorithmic trading; they fail spectacularly.
- Making functions async without need; it doesn't know the difference between the two or in which scenarios to use them.
- Consistently fails to make changes to the frontend if a project grows above 5000 LOC or a file goes near 1000 LOC.
- The worst part is it lies after making changes.
ChatGPT:
- Fails to implement mid-complex functionality such as scrolling to the bottom when new logs are coming in and not scrolling when the user is checking historical logs.
These models are good at mainstream tasks, the snippets of which you find a lot in repositories. Try to do something off-beat such as algorithmic trading; they fail spectacularly.