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Comment Re:Case in point (Score 1) 115

“The fact that people are unimpressed that we can have a fluent conversation with a super smart AI that can generate any image/video is mindblowing to me,”

Where can you actually do that? That's not a thing. These people seriously think they have cortana over there. Apart from they dropped her already.

More to the point, many (most?) people probably don't even want to do that or care. For example, I don't need (or want) to have a conversation with a AI/LLM and don't need to generate images/videos or, more precisely, have AI generate them for me - and I can do my own coding.

Comment Just kids? (Score 1) 126

American Kids Can't Do Math Anymore

The current president has stated several times he / his administration will bring down the price of prescriptions 500%, 1000%, 1500% and people go, "Cool".

Noting that 100% mean free and +100% means they pay you. (Sorry, but the premise here means I had to include that.)

Comment Re:Automation (Score 1) 55

It's not the centralization that did this, but the automation.

Coupled with arbitrary program limits and poor error handling and reporting. From TFS:

The software had a built-in limit of 200 bot detection features.
The enlarged file contained more than 200 entries.
The software crashed when it encountered the unexpected file size.

Comment Re:n/a (Score 1) 55

maybe centralization isn't such a good thing after all?

More like arbitrary program limits and poor error handling and reporting. From TFS:

The software had a built-in limit of 200 bot detection features.
The enlarged file contained more than 200 entries.
The software crashed when it encountered the unexpected file size.

Comment Fine for getting started (Score 4, Informative) 30

I'll agree with that, especially if you're younger / less experienced and don't have a lot of code you've written banked from which you can pull. Cleaning up, or at least heavily reviewing, the vibe code for production may be a good way to hone your skills. The environment is kind of like that already with the existence of sites like Stack Overflow -- none of which were around when I was in university and getting started.

Way back then, the system administrator (4.3BSD on VAX-11/785 and, later, also earlier Sun systems) was also a very knowledgeable programmer and would answer SA/coding questions - eventually. His first answer was always, "Did you read the man page?" [Off to read man pages.] His second was, "Did you read the source code?" [Off to read BSD source.] Then he would lean back, with the keyboard still on his lap, and scribble something helpful on the whiteboard... It actually was a good, if annoying, learning process as I read a LOT of man pages and BSD source -- which helped me a immensely when I became a SA and systems programmer.

Comment Re:Oh, Such Greatness (Score 1, Interesting) 234

Lincoln was a Free Soiler. He may have had a moral aversion to slavery, but it was secondary to his economic concerns. He believed that slavery could continue in the South but should not be extended into the western territories, primarily because it limited economic opportunities for white laborers, who would otherwise have to compete with enslaved workers.

From an economic perspective, he was right. The Southern slave system enriched a small aristocratic elite—roughly 5% of whites—while offering poor whites very limited upward mobility.

The politics of the era were far more complicated than the simplified narrative of a uniformly radical abolitionist North confronting a uniformly pro-secession South. This oversimplification is largely an artifact of neo-Confederate historical revisionism. In reality, the North was deeply racist by modern standards, support for Southern secession was far from universal, and many secession conventions were marked by severe democratic irregularities, including voter intimidation.

The current coalescence of anti-science attitudes and neo-Confederate interpretations of the Civil War is not accidental. Both reflect a willingness to supplant scholarship with narratives that are more “correct” ideologically. This tendency is universal—everyone does it to some degree—but in these cases, it is profoundly anti-intellectual: inconvenient evidence is simply ignored or dismissed. As in the antebellum South, this lack of critical thought is being exploited to entrench an economic elite. It keeps people focused on fears over vaccinations or immigrant labor while policies serving elite interests are quietly enacted.

Comment Re:Computers don't "feel" anything (Score 1) 54

It's different from humans in that human opinions, expertise and intelligence are rooted in their experience. Good or bad, and inconsistent as it is, it is far, far more stable than AI. If you've ever tried to work at a long running task with generative AI, the crash in performance as the context rots is very, very noticeable, and it's intrinsic to the technology. Work with a human long enough, and you will see the faults in his reasoning, sure, but it's just as good or bad as it was at the beginning.

Comment Re:Computers don't "feel" anything (Score 3, Informative) 54

Correct. This is why I don't like the term "hallucinate". AIs don't experience hallucinations, because they don't experience anything. The problem they have would more correctly be called, in psychology terms "confabulation" -- they patch up holes in their knowledge by making up plausible sounding facts.

I have experimented with AI assistance for certain tasks, and find that generative AI absolutely passes the Turing test for short sessions -- if anything it's too good; too fast; too well-informed. But the longer the session goes, the more the illusion of intelligence evaporates.

This is because under the hood, what AI is doing is a bunch of linear algebra. The "model" is a set of matrices, and the "context" is a set of vectors representing your session up to the current point, augmented during each prompt response by results from Internet searches. The problem is, the "context" takes up lots of expensive high performance video RAM, and every user only gets so much of that. When you run out of space for your context, the older stuff drops out of the context. This is why credibility drops the longer a session runs. You start with a nice empty context, and you bring in some internet search results and run them through the model and it all makes sense. When you start throwing out parts of the context, the context turns into inconsistent mush.

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