Agree. Most of program languages are context free. Human language is mostly context dependent. The auto completion and auto suggestion are the tools to close the gaps of the user experience.
Moreover, human communication is continuous and conversational. Programming is not. Most of existing code editors are not designed to have a conversation. Jupyter notebook is close but not there yet. I bet with a conversational agent style code editor plus a good auto suggestion and auto completion feature, we don't need to invent technology to use natural language to communicate with a machine. We just need a well designed formal language with precise and concise syntax.
Some people write news conforming to Google translation's performance just to make sure the story can be auto translated to many other languages. Most of these stories have pretty normalized vocabulary. This is how much human can adapt to the new world.
One day when the machine intelligence surpasses human intelligence, we will all speak in Python or whatever the most popular among machines.
Moreover, human communication is continuous and conversational. Programming is not. Most of existing code editors are not designed to have a conversation. Jupyter notebook is close but not there yet. I bet with a conversational agent style code editor plus a good auto suggestion and auto completion feature, we don't need to invent technology to use natural language to communicate with a machine. We just need a well designed formal language with precise and concise syntax.
Some people write news conforming to Google translation's performance just to make sure the story can be auto translated to many other languages. Most of these stories have pretty normalized vocabulary. This is how much human can adapt to the new world.
One day when the machine intelligence surpasses human intelligence, we will all speak in Python or whatever the most popular among machines.