Dear Henrik,
thank you for your comment and your encouraging words.
Regarding the future, yes, I agree we are going to have an interesting future. And yes, in which direction "interesting" will go, is the big question.
I have been using this technology for quite some time now for teaching, content generation, generating ideas, and (and this was helpful) automate an incredible range of administrative work.
I recently saw an interesting lecture from Harvard Large Language Models and The End of Programming - CS50 Tech Talk with Dr. Matt Welsh. It is an interesting point of view on programming and how "normal/standard" programming languages haven't changed how we teach computers and the readability of code. Among other things the speaker juxtaposes standard (and pretty much unreadable code) to prompt to LLMs.
I was wondering where the Wolfram Language fits into this. It is certainly more readable the low level programming languages, and allows us to interact with a computer in a way that is more natural. But it is also more precise when it comes to mathematics and applications thereof. I believe it it true that speaking to a computer in prompts feels more natural than programming. But then we invented mathematical symbols to better express certain ideas as well.
Here is a paragraph from a book by Morris Kline "Mathematics in Western Culture":
"When a twelfth century youth fell in love he did not take three paces backward, gaze into her eyes, and tell her she was too beautiful to live. He said he would step outside and see about it. And if, when he got out, he met a man and broke his head- the other man's head, I mean - then that proved that his - the first fellow'S - girl was a pretty girl. But if the other fellow broke his head- not his own, you know, but the other fellow's-the other fellow to the second fellow, that is, because of course the other fellow would only be the other fellow to him, not the first fellow who - well, if he broke his head, then his girl- not the other fellow'S, but the fellow who was the-Look here, if A broke B's head, then A's girl was a pretty girl; but if B broke A's head, then A's girl wasn't a pretty girl, but B's girl was."
I wonder whether the combination something like the Wolfram Language and LLMs will be the answer and bring balance to the ease of using natural language and the precision of a computational language like the Wolfram Language. E.g. the new Astro functionality makes many concepts quite precise (what exactly is sunset, when I compute the position an object in the sky what do I mean - where I see it or where it is given the speed of light).
I am wondering what the best way will be to instruct future computers to provide answer to our questions and how that will change society.
Interesting times ahead.
Thank zou,
Marco
