Comment by TeMPOraL
4 days ago
There's a difference between feeding massive amounts of copyrighted material to a training process that blends them thoroughly and irreversibly, and doing all that in-house, vs. offering people a service that indexes (and possibly partially rehosts) that material, enabling and encouraging users to engage directly in pirating concrete copyrighted works.
Ironically the low tech infringing proposal would lead to more reliable results grounded in the raw contents of the data, using less computing/power and without the confidently incorrect sycophanty we see from the LLMs.
Nah. It would just lead to more of classical search. Which is okay, as it always has been.
LLMs are not retrieval engines, and thinking them as such is missing most of their value. LLMs are understanding engines. Much like for humans, evaluating and incorporating knowledge is necessary to build understanding - however, perfect recall is not.
Another, arguably equivalent way of framing it: the job of an LLM isn't to provide you with the facts; it's main job is to understand what you mean. The "WIM" in "DWIM". Making it do that does require stupid amounts of data and tons of compute in training. Currently, there's no better way, and the only alternative system with similar capabilities are... humans.
IOW, it's not even an apples to oranges comparison, it's apples to gourmet chef.
There's this famous phrase in Russian that was born out of a short interview with a woman, a strong Putin supporter, that's often been used as a sarcastic remark for pointing out someone's double standards and/or hypocrisy.
It can be roughly translated to "you don't understand, it's a completely different situation". That's what's constantly on my mind when I'm reading discussions like this one.
Everybody and their dog torrenting petabytes of data and getting away with it (Meta is the only one that got caught and they've still gotten away with doing it)?
The very same data poor American students were forced to commit suicide over? The same data that average American housewives were sued over for millions of dollars of "damages"? The same data that often gets random German plumbers or steelworkers to pay thousands of euros of "fines" to the copyright mafia so they won't get sued and have their lives ruined?
Yet when giant corporations are doing the exact same thing on a massive scale, it's fine? It's not even the same thing, an American student torrenting books isn't making any money off it, while Meta very much is.
Of course it's not the same, a simple-minded and poorly educated person like me isn't capable of understanding the difference. You keep believing in your moral superiority, the rest of the world has finally woken up.
>The same data that average American housewives were sued over for millions of dollars of "damages"? The same data that often gets random German plumbers or steelworkers to pay thousands of euros of "fines" to the copyright mafia so they won't get sued and have their lives ruined?
Honestly curious. Could you share any examples of these cases?
Is there also a famous Russian phrase that translates to "details are irrelevant, it kinda looks similar to me therefore it's the same"? If not, there definitely should be.
The details are the entire point. Arguing that a corporation can get away doing something, while an individual can't, isn't useful, because there are great many of such somethings, and in most cases it turns out perfectly reasonable, once you dig into details.
> The very same data poor American students were forced to commit suicide over
Leaving the rest of your argument aside, precisely nobody forced aaronsw to commit suicide.
There's also a matter of 'aaronsw being a student, not many "poor American students" as GP implies. As far as I know, this was the only case of this type[0][1].
Honestly was too tired to point that out in my earlier reply, but that's exactly the kind of argument you get when people are not willing (or purposefully refusing) to consider details. Intentionally or not, you get bogus and highly manipulative statements.
A single case of a student activist fighting for freedom of communication and access to public goods for citizens, ending up breaking under pressure from public/non-profit institutions MIT, JSTOR, FBI over copyright, is not the same as what GP implied - many students, regular folks just like you and me, being forced to take their own lives due to legal consequences of pirating books in bulk. Nothing like the latter ever happened anyway.
We can do better than this.
(And even if we can't, I trust the courts can.)
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[0] - Curiously, while doing some search now to be sure I didn't miss any similar case, I learned that JSTOR incident wasn't the first for 'aaronsw - apparently, he did the same thing a few years earlier with public court documents[1]; FBI investigated this too, and concluded he was legally in the clear. It's probably well-known to everyone here, but I somehow missed it, so #TodayILearned.
[1] - https://en.wikipedia.org/wiki/Aaron_Swartz#PACER
[2] - https://en.wikipedia.org/wiki/Edwin_Howard_Armstrong was the only one I could find that was even remotely related - an engineer and inventor who, in big part due to prolonged fighting over patents consuming all his time and money, suffered from a mental breakdown and committed suicide at 63.
There are those who are in charge and those who aren't.
That's Uber's Gambit. Nothing is illegal for large enough corporations with strong network effects and deep pockets.
That's not Uber's Gambit.
Uber was blatantly ignoring the local laws in order to break into the market and quickly defeat local competition. They used their infinite VC money supply to interfere with and delay investigations and enforcement, betting that if they do it fast enough, they'll have the general population on their side.
LLM vendors found and exploited[0] a legal uncertainty - correct me if I'm wrong, but AFAIK it still isn't settled whether or not their actions were actually illegal. Unlike Uber, LLM vendors aren't breaking into markets by ignoring the laws to outcompete incumbents, and burning stupid amounts of money just to get away with it. On the contrary, LLM vendors are simply providing an actually useful product, and charging a reasonable price for it, while reinvesting it into improving the product. Effects it has on other markets aside[1], their business model is just providing actual value in exchange for money. That's much more direct and honest than most of the tech industry.
The product itself is also different. Uber is selling a mirage, a "miracle" improvement that quickly turns not so, and is destined to eventually destroy the markets it disrupted. LLM vendors are developing and serving systems that provide actual value to users, directly and obviously so.
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[0] - Probably walked into this without initially realizing it. No one complained 5-10 years ago, where the datasets were smaller and the resulting models had no real-world utility. It's only when the models became useful, that some people started looking for ways to make them go away.
[1] - That's an unfortunate effect of it being a general AI tool, and would be the same regardless of how it was created.
> that blends them thoroughly and irreversibly
It's okay, you can say 'laundering'
I can, but I don't, because that's at best an unintended side effect.