If you get near a point, make it. It's clear from your frothing that you lack one.

You're talking out your ass.

We've been over the examples here a bunch of times

See also

https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fnews.ycombinator.com%2Fi...
https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.quora.com%2FWhy-is-G...

There is some necessary secrecy around military operations, and where there is doubt, it's generally beneficial to err on the side of caution. And this is a reasonable thing to accept unless the whole nation is subservient to the military. And look at where the money goes... it is. But it's not really the military, is it? It's really the corporations which profit from supplying it.

But if your goal is national defense, shouldn't you cap those profits? Not doing so decreases military readiness through overspending.

"Recruit your friends, grab your 15 year old camcorder, edit in Sony/Magix Vegas, do the CGI stuff in whatever you can find"!

A home user these days has a LOT of resources/tools that will allow some great content to be made.

There are tools that only a few years ago were ONLY in the reaches of the $$$ corporations.

You can buy quality cameras for $2K or so range...you have tools like Davinci Resolve that actually has a FREE version that will do 99% of what a young filmmaker would need to do with reference to editing, VFX, Sound and color correction/grading.

RODE and DJI and others make perfectly usable mic systems the average user can use to capture good sound.

And with the AI tools coming on board....you can do some really special stuff, not full CGI, but I've seen transitions clips done with AI that had my jaw drop....

And no this will not put you in the poor house....yes you have to invest ''some" into equipment, but the main resource you need these days....is sweat equity, imagination and determination to learn how to use the tools at your disposal.

Nobody expects you to put out Raiders of the Lost Ark on your first attempt....but hey, good story writing and presentation go a LONG way, hell, just look back a couple decades ago and longer to see that that is actually what carried movies since the inception of the art form.

(And yeah, it was a fun degree. Just a BA :) Decided to go back to school for a second degree on a topic that had long been of interest to me)

DNN-based, like nearly all modern AI. Not Transformers, as far as I'm aware.

Explain how this doesn't count as reasoning. Or this. To name just a couple examples.

Yes, they work by fuzzy logical reasoning. That is literally how neural networks, including the FFNs in Transformers, work. Every neuron is a fuzzy classifier that divides a superposition of questions formed by its input field by a fuzzy hyperplane, "answering" the superposition with an answer ranging from yes to no to anything in-between. Since the answers to each layer form the inputs to the next layer, the effective questions form grow with increasing complexity as network depth grows. Transformers works by combining DNNs with latent states (works on processing concepts, not raw data, with each FFN detecting concepts in their input and encoding resultant concepts into their output) and an attention mechanism (the FFNs of a given layer can choose what information they "want to look at" in the next FFN).

I don't think I've ever seen a technology aimed at developers pushed as hard as LLMs. Usually adoption arises organically.

“Hell is—other people's LLMs!” -- Jean-Paul Sartre, No Exit

In contrast, while the frustration with low-quality or excessive AI-generated content is completely valid, it might be worth considering that this “noise” is partly a side effect of how quickly the technology is evolving and being adopted. The imbalance you’re feeling—more irritation than enjoyment—often reflects how platforms and people are still figuring out how to use AI responsibly and meaningfully. Over time, as filters improve and norms around quality settle, the signal-to-noise ratio may shift in a more positive direction. Until then, the experience can feel uneven, where the potential of AI is clear, but the day-to-day exposure doesn’t always live up to it.

In contrast, another way to look at it is that your reaction highlights an important feedback loop—when people feel overwhelmed by low-effort AI content, it creates pressure for better curation tools, stricter platform standards, and more thoughtful use overall. That irritation isn’t just a downside; it’s also a signal that helps shape how AI integrates into daily life. If enough users push back against “AI slop,” it can drive a shift toward higher-quality, more intentional outputs, making the enjoyable moments more frequent and the noise less dominant over time.

Finally, in contrast, it could also help to recognize that the sense of overload isn’t solely about AI itself, but about how much content we’re exposed to in general. AI has accelerated the volume, but the underlying issue—information saturation—has been building for years. Framing it this way might make it easier to focus on controlling your own intake, whether by curating sources more aggressively or stepping back when needed, so the moments where AI genuinely adds value have more room to stand out.

AI is useful, without a doubt. There are times when it makes me feel good.

The noise added to my life by AI slop that I am now forced to filter through is extremely irritating.

On average I would say the irritation happens more times per day than the enjoyable moments.

Steve Jobs reportedly did that.

Some people have never heard of the halting problem.

Interns learn if you teach them.