| > Having a programming language that mirrors our everyday communication is an important step forward in making the innovations from software broadly available. I don't think that's the case at all. Mathematics developed a formalised non-natural language precisely because human language is completely unsuitable for expressing abstract concepts in a concise and unambiguous fashion. You will find that even in non-technical fields language will quickly converge to a well-defined, coarse and highly coded subset of regular human language when efficiency and correctness are key. You can observe this in the different branches of military, medicine, and trades. We use programming to formalise algorithms, processes, and models. Those are abstract concepts and the difficulty doesn't lie in expressing them verbally. This has been shown time and again by fruitless efforts to create localised dialects of more accessible programming languages like BASIC or Pascal. Turns out it doesn't matter whether keywords are written in your native language or if you could write natural language-like sentences: the difficult part remained formalising the abstract concept and ideas in a meaningful, logical and sound way. What I do think will help tremendously, however, is using system such as GPT-3 to create another level of abstraction. There are many descriptive tasks that don't need to be put into code manually. The structure and behaviour of UIs comes to mind. |