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This feels like inventing horseshoes for cars. The author asks ChatGPT for its advantages over natural language interactions, and the ever agreeable ChatGPT com
by brushfoot 4y ago
This feels like inventing horseshoes for cars. The author asks ChatGPT for its advantages over natural language interactions, and the ever agreeable ChatGPT comes up with this:
> Firstly, SudoLang provides a more structured and consistent syntax than free-form natural language interactions. This can make it easier to understand and modify code
> Secondly, SudoLang is designed specifically for interacting with LLMs, which means it can take advantage of their unique capabilities, such as generating code, solving problems, and answering complex questions
> Finally, SudoLang includes features like modifiers and template strings that allow for more precise control over the responses and outputs generated by the LLM
But none of these is an actual advantage.
1. Formal languages' restrictiveness is a disadvantage with an LLM. It artificially limits the LLM to acting like a traditional GPPL. With an LLM, when you need to express something that would break the mold of a formal language, you can simply express it: There's no need to introduce a new version of the language spec or search Stack Overflow.
2. "Designed specifically for" isn't an advantage if the design is poor. LLMs were already designed specifically for interacting with natural language, which already lets the user "take advantage of [LLMs'] unique capabilities," as ChatGPT puts it.
3. Modifiers and template strings aren't useful because, again, LLMs don't have the constraints of formal languages. In fact, as ChatGPT points out in the article, "an LLM (large language model) does not need to be given the specification of SudoLang in order to interpret SudoLang code." In other words, my naive request to ChatGPT to "mail merge" a set of names into some text is as valid as SudoLang's template strings, without having to learn their syntax.
It's an interesting experiment, but I don't think it makes sense beyond that.
- startupsfail 4y agoTo me this looks like an experiment that demonstrates primarily : GPT4 as an assistant would happily translate user’s ideas into a lot of text.