klik99
Joined 10 years ago
Joined 10 years ago
I mean, again, great movie, but a lot of AI discourse these days seems to conflate what might happen for what is currently happening. Every advancement in the field is seen (by some) to be irrefutable evidence for predictions that date far back into the last century. So my read on this article is it's self-referential. This is media part of a discourse has always been part of AI research (at least as far as I've been paying attention - I've been interested in AI/singularity stuff since hearing about it on the MIT campus in early 2000s) so it's really just showing that at least some people have been aware of the potential dangers since then. We weren't living inside it in 1970, and we currently not living inside it today. If the president were to hand any control over infrastructure to an AI, with no human in the loop, then at least we'd be in the first 20 minutes of the film.
I honestly think it's dangerous to keep presenting what _could_ happen as what is currently happening. Once it becomes clear the world doesn't end because of LLMs, people will become more lax about the potential dangers, kind of like how after the millennium bug failed to stop the world economy everyone treated it like a joke, not realizing that it failed to materialize due to a lot of people working overtime.
It’s not an either/or. Many sincerely held beliefs can be used by cynical actors in cynical ways. It can be both a cynical marketing ploy by the C-suite and a genuine fear.
Personally, based on my experience with AI, the only dangers with the current technology is a) massive loss of employment, b) deployment by humans to control critical infrastructure that LLMs shouldn’t be in control of. Both of those are real, society changing risks that framing the issue as “once we reach the singularity everyone could die” minimizes. Obviously their concerns are possible, but >10% is a random guess. The loss of jobs and how that affects an already K shaped economy is already happening, and nothing is being done for that
> Your assertion that it is all culturally relative ("nurture") and none from the structure of the most efficient algorithm for recognizing the harmonic series ("nature") has no basis in fact
I never said that. I said "Though it's built on harmonics and overtones which can be explained objectively, you cannot make a fully scientific theory of harmony since cultural expectations factor in just as much (and maybe even more) than the expectations around harmonics." To put it in your terms, "you cannot make a fully scientific theory since nurture factors in just as much (and maybe even more) than nature". The world is not black and white, just because I believe sociology to be critical to understanding the emotional effect of music on people, does not mean I'm claiming there is no objective, measurable component.
> If so, then an octave is too simple to fire the recognizer"
Ok so the happiest music is perfect fifths? Or is 3/2 ratio also too simple? So when does this recognizer get complicated enough to fire? 5/4? For someone claiming to have a scientific theory, you are making a lot of assumptions to make this theory work. Scientific theory is about testing hypothesis to reveal truth and not making hypothesis up to match what you already believe. You make an assumption that the brain wraps/aliases frequencies, create a theory of the recognizer, and then make that recognizer have a very convenient threshold that it makes a physical process suddenly the reasoning for "happy". To the "fully scientfic theory" above, I absolutely agree that ratios play a part, simple ratios are boring, and get more interesting as they get complex, then get too complex and it sounds dissonant. That part I think we, and most people, can agree is objectively true, and fits in the theory of expectation vs surprise at a microscale. I just don't agree this translates to "happy" or "sad". Please show me an experiment that indicates the kind of recognizer that you're talking about, or some kind of cross cultural link between ratios and emotional quality. I'd actually be very curious about that, as it's been a while since I've been reading papers about this.
> The music was played into the brain with the root removed; when coming out of the brain of the owl, brain had restored the root
Yes, I'm sure you know this, I'm just showing I know this too - this is called psychoacoustic bass, and happens as part of the feedback loop between the brain processing and the actual ear - the ear actually generates the root tone! This could also be a product of pattern matching though, as we're used to hearing related harmonics (say 200, 300hz) with a root (100hz), so if we just get the harmonics without a root (200, 300hz) the psychoacoustic part of your brain helps out by filling in the 100hz - this is an alternate theory to the aliasing/halving/doubling theory you put out, not saying either one is absolutely true, just that there are other explanations for the owl thing.
It also has nothing to do with the emotional effect of the music.
> So at Berklee they teach recognizer algorithms and artifacts thereof?
Again, I did not say that. I'm not talking about the speculative, non-experimentally backed parts of your theory, just the parts of your essay that are part of the common scientific consensus. I said "ratios and how chords derive from that was absolutely part of my education at Berklee". Nothing more.
I've been working with some people building a music model from scratch and it really surprises me how much correlation there is across different features. It's been difficult applying that to general sound effects, because music is highly correlated in ways more general sound isn't.
Ultimately minor sounds sad because it's been used that way for a long time and it's what we expect. I was listening to Trout Mask Replica and my wife said it sounded like her home town funeral music (I later heard some myself and yeah she was right) - Captain Beefheart doesn't sound sad to me, but it does to her. The funeral music uses major 5 note scale.
And on "But I've Been a Musician All My Life / Studied Music In College and I've Never Heard Any of This Before!" - ratios and how chords derive from that was absolutely part of my education at Berklee. This article is good for the objective parts, but really self-congratulating for the subjective/experiential part of it.
"Superhuman Hardware Design Is the Easy Part" but then says "Superhuman hardware engineers are coming soon". The first example is a tweet "Vibe hardware is here" that shows a blender animation of a hardware, that looks correct, but hasn't been built or confirmed in any way: https://x.com/eminimnim/status/2098072497182666987?s=20 - The article freely admits it can't yet do the design side. So - in theory the actual hardware design is the easy part, it's not even possible of doing more than a convincing (but very good and actually impressive on it's own!) 3d model.
I'd actually be interested in something that shows how they're trying to get LLMs to design hardware. I'm not interested in investor propaganda that tries to imply things are far further along than they actually are.