I remember learning and writing Cobol with with the Microsoft Cobol compiler on my Tandy as I was training at the local VoTech and working as a night operator on an IBM mainframe flipping tapes. I can categorically say that writing code with Antigravity is worlds different than those early days. It is inspiring, but for me its more about understanding the models and how they do their magic. At 67 I'm refreshing my calculus, linear algebra, and statistics in an effort to be able to read the papers on the subject. In the future, I'm imagining the norm being an automated layer for coding, similar to compilers of today, that take natural language and produce trusted, reliable and performant code all the way down to the machine level. The real work will be developing the models and their layered and optimized machine level interfaces and implementation. It is all kind of amazing.
> At 67 I'm refreshing my calculus, linear algebra, and statistics
Does anyone else find this messaging from Anthropic's marketing department silly? AI ultimately devalues human knowledge by commoditizing it, which ought to make one less motivated to go out of their way to acquire it, not more. Yet if these comments are to be believed, it's the exact opposite, with (as of now) 72 instances of the word "learning" in this thread. This, as we barrel headlong towards a world where having a strong back and the ability to turn a wrench or swing a hammer is going to be more remunerative than being able to solve differential equations or follow some arXiv preprint about frontier models. (At least until robotics is solved.)
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