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Comment Re:Tax is the wrong term (Score 1) 24

One aspect of enshittification that people don't talk about much is that sites do need to make money to continue. They can't be free forever.

Yes they can. If musicians, software companies, and movie producers don't need to be paid for what they produce, these sites don't need to be paid either.

Comment Re: It's all about definitions. (Score 1) 176

Grading on a curve was meant to hide the fact that some teachers couldn't teach, some could, some wouldn't, and others would. It protected the professor at the expense of the students' education.

And it ruins grades as a marker of achievement or ability. From a student's perspective, if I pay for a course, the result should be that my grade reflects the degree to which I've mastered the material, not the variations between the quality of the students and the quality of the instruction. Grading on a curve allows a deadbeat professor and a deadbeat class to essentially turn the class into a credential mill without the necessity of education.

Students can safely assume that courses graded on a curve are staffed by incompetent or lazy professors, taken by lazy or incompetent students, or quite possibly both. When I was in university, this type of grading was used most often in the general education electives, where the professors didn't really care about the students, and the students didn't care about the subject. To adopt the same approach for mainline courses is to transform the entire university from a place of learning into a credentials broker or diploma mill.

Comment Re:Synthetic (Score 1) 103

An AI has no capability to have feelings

And what is a feeling? Based on Wiki:

According to psychologist Carroll Izard, feelings are best understood as the conscious experience of emotion, arising when an affective state reaches awareness.[4] William James similarly proposed that feelings result from the perception of bodily changes in response to external stimuli, thus forming part of the emotional process.[5] More recently, affective neuroscientist Jaak Panksepp hypothesized the role of subcortical brain systems in generating core affects that underlie both feelings and emotions.[6]

In other words, a feeling is a reaction to an external stimuli. Since reactions are nothing but the neural connections in our brains responding to the external stimuli, there is little reason to say an AI, with its digital connections, can't respond to external stimuli in a similar fashion.

Comment Re:Brian Kernighan nailed this decades ago (Score 3, Interesting) 118

As astronaut Frank Borman put it, "a superior pilot uses his superior judgement to avoid situations which would require the use of his superior piloting skill".

The programmer's version of that would be "a superior programmer uses his superior judgement to avoid creating the bugs that would require the use of his superior debugging skill".

Comment Re:It stops the development of new knowledge too (Score 4, Insightful) 118

Could I have fixed this bug? Not even in my wildest dreams. Do I care how it was fixed? Oh no. No I don't. I just checked that the output of the LLM was reasonable.

The risk in this scenario is that after a few iterations of people applying AI-generated "black box" modifications, users start reporting that the ancient app is crashing on them now and then, and nobody has the first clue why, or how to fix it... and since the crash isn't readily reproducible, you can't even do a "git bisect" to figure out which commit introduced the regression. Now you're left with two unappetizing choices: either live with the instability forever, or roll back all of the "blind" commits to the last known-stable version and never touch the codebase again.

Comment Re: Well "just" vibe code you a new API, then eh? (Score 3, Informative) 46

The biggest problem with replicating CUDA is not the technical aspects, but finding VC with enough brains to know whom to hire. Most CS grads have the knowledge, but not the drive. Most liberal arts grads have the drive, the creativity, but not the knowledge. You need to find one with both, because creating the next Nvidia killer will require someone who is boring enough to reinvent the wheel, but has enough creativity to find novel solutions to performance problems.

The computer science and hardware engineering behind the hardware and software (Nvidia/CUDA) have been known for decades. The Nvidia hardware could be replicated with FPGAs - notwithstanding any patents Nvidia might have. The software API could be replicated rather easily; parallelism has been known and studied in computer engineering (again) for decades now. What Nvidia did was political - they provided both the hardware and the API to easily use it in one package which could be understood by the C-Suite class. The challenge was never technical, but marketing.

More specifically, you'd need to understand how compilers work, and how to use YACC or bison, or something similar to generate the compiler code for you. You'd have to understand digital logic and how to create logic functions with NAND gates. If you see an FPGA development kit, know what it is, and think to yourself, "What I could do with that..." you're probably a good fit for the job. And you'd need someone willing to bankroll your project until you could demonstrate that you beat Nvidia on something marketable - like floating point performance. Or power consumption.

From an engineering standpoint, what Nvidia has done is trivial - because the solution could be reproduced by an engineer using already known techniques. But what Nvidia did was to combine technical knowledge with an understanding of their market to produce the dominant position they have today. Any computer engineer worth his diploma could produce a design with FPGAs that would beat Nvidia GPUs, but Nvidia did it first.

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