As a software professional what makes it more interesting is that the "trick" (reasoning RL in models) that unlocked disruption of the software industry isn't really translating to other knowledge work professions. The disruption of AI is uneven. I'm not seeing in my circles other engineers (e.g. EE's, Construction/Civil, etc), lawyers, finance professionals, anything else get disrupted as significantly as software development.

The respect of the profession has significantly gone down as well. From "wow you do that! that's pretty cool..." to "even my X standard job has a future; what are you planning to do instead?" within a 3 year period. I'm not even in SV, NY or any major tech hubs.

Many defenders of AI tools in this thread are basically arguing against the end conclusion of the article which is that "to think" is no longer the moat it once was. I don't buy into the argument either that "people who know how to use AI tools" will somehow be safe - logically that's just a usability problem that has a lot of people seem to be interested in solving.

The impression I'm getting is that even the skill of "using/programming LLM's" is only a transitory skill and another form of cope from developers pro AI - if AI is smart enough you won't need to "know how to use it" - it will help you. That's what commoditization of intelligence is by definition - anything like "learning/intelligence/skills" is no longer required since the point is to artificially create this.

To a lay person reading this thread - in a few years (maybe two) there won't be a point of doing CS/SWE anymore.