- From: Filip Kolarik <filip26@gmail.com>
- Date: Fri, 24 Apr 2026 21:47:50 +0200
- To: Public-Credentials <public-credentials@w3.org>
- Message-ID: <CADRK2_OPy-pGF6E9+ayWUtsoHsKPA-KgCHXtdC6ZKz84d4Qb+g@mail.gmail.com>
Hi, I didn't want to react to this, as I second all the arguments valuing human time, conciseness, and understanding the inherent mediocrity in generative AI. It will improve to some degree, but I am still waiting for the day magical generative AI solves something truly troubling and important ... ;) In the late 80s and even 90s, when I met anyone who claimed an interest in software engineering and computers, you could bet they knew something; moreover, they all enjoyed learning, exploring, and building new things out of thin air. Then, it changed. A huge influx of money is often the worst thing that can happen to something that was once a passion for those who were doing it, and /would still be/are/ doing it today, for /almost/ free. Money attracts a different sort of person. Last year, I interviewed three brilliant young engineers (by education and internship) and received these responses to the simple question: "Why software engineering?" Their answers: power, money, and the ability to finance whatever other real interests they had. I apologize for being so chatty, but the point is: writing and contributing to a specification is an act of excellence. That requires conciseness and an internally driven self-commitment coming from something other than money or visibility. I hope generative AI helps reduce the number of "software engineers" who didn't really enjoy this field (not to mention AI-born computer science experts ;). Simply put: if you don't enjoy it, if you are not willing to put your full commitment into it, or if you let something else think for you, please I'm sure there is an easier way to get attention ... Thank you, Filip https://www.linkedin.com/in/filipkolarik/
Received on Friday, 24 April 2026 19:48:07 UTC