It's the same situation as those who wrote books by hand before the printing press and those who write code by hand after AI!!!As usual, I'm writing with translation.
First, it would be good to discuss the philosophy behind an event.
Here, the ranking units are sorted according to your comments.
Topic 1: I think the translation implementation is a bit overkill
but it incredibly shortened the process of writing an executable script for something that had never been done before!
And if AI could do what I asked the developers to do when I first joined the forum, the standard migration process I experienced with TCL could have been more perfect, but these are general Linux migration issues, not specific to TCL
Topic 2 and 3: I know how AI works from my personal work on SEO about 10 years ago, when AI wasn't very well understood. Every language has its own structure; some words are agglutinative while others are fixed expressions. It's a linguistic problem.
I was in the process of developing a sample spreadsheet algorithm to analyze recurring themes in a book; this algorithm would give the percentages of derivatives of A being added to B and other possible additions. Working on a structure that could generate usable word structures in this way also meant decision percentages. This, without realizing it, led me to work on the concept of artificial intelligence and decision-making, that is, working on a machine with high-level thinking capabilities. Many similar technological revolutions have occurred throughout history. One person invents the telephone, another develops a similar device without even knowing what they're doing; but the real story is that the person who finds the right market succeeds, and that's how human history progresses!
Point 4 is actually a critique. Technically, ideas have become more important than open source code. Previously, closed source code was a structure that expressed the algorithm, the workflow logic of a process. Now, it's not about how everyone learns to code, but how they do it or how they get it done; considering that many large startup companies have brilliant ideas but don't have time to learn programming, yet can find experts to create the program they want, the winner is not the programmer, but the person who created the idea.
Point 5: Artificial intelligence is a search tool; before the internet there were books and libraries, before books there were embossed tablets, before tablets there were cave inscriptions. An AI search system is an advanced search function that prioritizes necessary content while eliminating unnecessary content. It generates information by compiling scientifically proven articles and accepting those with an accuracy rate of 90% or higher, then ranks them in a list of recommendations based on these rates. Ultimately, each search is programmed in a more natural language within this search and result generation algorithm.
All the programming languages we've described are, at the most basic level, assembly languages that provide direct access to hardware. And every programming language developer actually runs the same assembly language with different layers of abstraction; depending on the situation, much more assembly language content is run in the background; two lines of code can run 100 or 1000 lines of assembly code. It's similar to pressing a piano key; you press a single key and hear the sound resulting from the harmonious operation of countless hardware components within it. And in the background, at almost machine language 1010 level, unpredictable vulnerabilities arise due to errors caused by previously undetectable conflicts, requiring a significant amount of time for human verification. And since data analysis and system updates at this level require time and effort beyond physical human labor, artificial intelligence is an inevitable reality at some point. No matter how perfectly you write the program, the problem stems from an error at the machine language level, even beyond a lower ASM layer, that is undetectable by human hands.
Therefore, even an operating system developed by millions of programmers continues to experience current problems due to issues beyond human control.
Because the real problem lies in hardware that is not 100% open source. Even if it were theoretically 100% open source, something is missing. If it weren't missing, everything would be perfect
And one final criticism: Does artificial intelligence serve humanity? First of all, there is a huge struggle between commercial giants. Technically, no one turns down the opportunity to use expensive hardware that no one could ever own for free or with limited access via the internet.It's the same situation as those who wrote books by hand before the printing press and those who write code by hand after AI!!!
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