Surely, you mean trillions of dollars of negative value?
163 karma · joined September 26, 2023
Surely, you mean trillions of dollars of negative value?
That comparison doesn't work because up until now, it was only the execution we automated or optimised. Now, we're trying to outsource the understanding itself. No one hand-crafts a microchip, but we know how they're put together. We can debug and improve the process. The suggestion now is to just trust the magical statistics machine and not care that the artifacts become unfixable and unreproducible if and when the magical machine fails.
This is a HUGE non-sequitur. It only follows if by "compete" you mean producing more LoC. How often does that translate to market fit or economic success?
This is the mindset that makes me want to leave this industry immediately. Somehow, an industry that already annoyed me with how much "mediocre is good enough" was an acceptable stance, with the emergence of LLM coding tools suddenly decided that "absolute dogshit is good enough" was just as acceptable, as long as everybody else is also fine with eliminating the few quality standards they might have had.
The font kerning also usually tends to be way off, making the all-caps even more difficult to read.
Four years in, I'm still waiting for a single example of this oft-repeated claim stated as fact.
The only industry I have first-hand experience in is software development, and LLMs are certainly not changing that "entirely". The implementation of quick, throwaway PoCs, maybe, but that ain't an industry.
Even research is boring now. The drive towards understanding has almost entirely been replaced by throwing carp at the wall and seeing what sticks. "Researchers" publishing solutions they don't understand, developed through a process they can't share any insight into, solving problems nobody ever asked whether they are worth tackling.
This truly is the most boring, underwhelming timeline in tech and research that I could ever have imagined.
A bit ironic, too, because the same article later quotes polls where a majority of respondents said they immediately stop reading an article and any future ones by the same author if their LLM detector goes off.
That's why the GenAI companies try to talk their way out by claiming training is "Fair Use". It means they acknowledge that the materials they use are copyrighted and not legal to reproduce without a license.
IMHO, any LLM output is, and systemically forever will be, inferior to human creative output, if not entirely worthless. We can scale and industrialise the production of slop, sure, but who wants that and to what end? We're not getting the next cultural movement or artistic masterpiece from these systems no matter how often we pull the lever of the regurgitation blender machine. Because human intent is the whole point, and without it, there is no reason to make any of this.
I agree that it should be about creating the most value to the consumer. As a consumer, the value I get out of LLM writing or art is almost always exactly zero, and it makes it that much more difficult for me to find the things I would see value in.
The fact that they don't is crucial, and probably the very reason why the concept of corporations was invented.
The part about collating all human knowledge also reminds me of the optimism on the early Internet. I miss having such a positive and hopeful outlook on things, but again, can no longer bring myself to truly believe it. Maybe I'm just getting too old.
What I see as the most likely scenario is that for most users, this collation of knowledge will remain behind the oligarch gatekeepers, who can and will manipulate the output to suit their interests.
I know, I know, open models and such, but I don't see those making any dents against the oligopolies. People will still go to Google or OpenAI. No non-nerd is going to self-host a niche model, and the on-device inference most people will be using will be based on models provided by the same, manipulative oligarchs.
The degrading of Google's search result quality is actually a good indicator that this are heading towards more manipulation rather than unfiltered access to real, original human knowledge.
1) LLM content can at best be as good as the source material it was trained on. That's the upper bound. "Out of distribution" output of LLMs is mostly unusable.
2) LLM-generated content increasingly drowns out original content, online and elsewhere.
This spells "monotonically decreasing content quality" to me.
That being said, in this scenario of yours, how much of that additional work do you figure would be actually original? If someone wants to make a living with music, why bother learning an instrument and writing songs if nobody can stop them from just recording someone else and selling that?
That's really the heart of this lawsuit, isn't it? If we give freeloaders the right to legally monetise other people's work, we will drown in bland, derivative, stolen garbage and drive out the actual creators, in the process also breaking the "business model" of the freeloaders. A real lose-lose-lose situation which I see as much more realistic and believable than Kinsella's libertarian dream world.
Not much need for extrapolation, either. We can just watch it happen right now. "Content production" on the web is definitely exploding, as per your point. But even in the mainstream, most people will agree that this flood of new, LLM-generated "works" is worth less than the originals they're sloppy pastiches of.
I also doubt this. When I observe people out in town, most of them stare at their phones non-stop. To get to pick them up that often, they'd first have to put them down every now and then.
I've been strictly a Sony Xperia user for almost 15 years now, and Sony had its own keyboard app early on, which they later discontinued. Swipe typing on the Xperia keyboard is still the fastest and most precise I've ever been able to write on a phone, nothing else ever came close. Then they stopped development and moved over to a Microsoft keyboard, I think. I've never found another keyboard that did swipe typing as well as Sony.
There's also something to be said about touch-typing. Even though it was slower due to T9, I miss the dumbphone days of being able to type an error-free message without ever having to look down at the keys.
Not sure about the key waterproofing of this phone, but not being able to type out in the rain is another thing that really makes me dislike touchscreen typing.
The way I imagined it is that I'd still have my main smartphone at home and maybe for office days at work, but bring the other one when I go out, to visit friends or family, etc. Being out and about is where I think not having the attention-grabbing and distractions is most important. At home, I feel like I personally can control it quite well myself.
It's the very idea of having two devices instead of one that still keeps me from these things, though. Even if I only ever had one with me, that's still about twice the work of maintenance, updates, remembering to charge, having two lines...
The same bugs me about cars. Suddenly, driving cars is cool and modern and unproblematic again, because the market is switching to electric engines. As if fossil fuel consumption was the only thing environmentally problematic about building and driving cars! It's not, not by a long shot.
The environmental impact of LLM use also has to be considered in light of the wasteful ways in which they're being employed in general. Sharing and reusing has gone out of fashion. Millions and millions of LLM-assisted programmers, for instance, or now re-inventing and re-implementing the same things, in the most inefficient way, because that's more profitable to the oligarchs than actually collaborating and building on each other's work.
Can that be true?
I've read at some point at which speed on average the sound of tires on tarmac will be louder than the sound of an engine, and it was a surprisingly low speed. I don't recall the exact number, but I remember that it was below the average in-city traffic speed (save stop-and-go averages).
This definitely matches my real-world experience. I can't usually make out engine sounds in passing traffic, because the tire noise is so freaking loud. I certainly couldn't blindly tell electric from ICE by sound of a passing vehicle at, say, 40 or 50 km/h.
High-rise buildings are extremely inefficient compared to low-rise buildings, in pretty much every dimension except amount of people packed per area.
Still, the archive was complete and you'd end up getting what you went there for, so still infinitely better than the average experience today.
No, he wasn't anymore.
> Someone decided to trash the one part of Windows that was usable?
Counter-example: me. I define enough money as not having to worry how to pay rent, bills and food, and being able to do spontaneous purchases without thinking too much about if I can afford it. I'm at that point with my medium-high middle-class income, and I don't want to earn more. I probably wouldn't refuse if it was offered to me, but having more money than I do now would also very likely make me feel very guilty. I don't need more, and I'm already in an incredibly luxurious position that I feel pretty conflicted about because of how much it was all down to luck.
I suspect most of my best friends, who are predominantly about as not-rich-but-comfortable as me, feel similarly. Otherwise we probably wouldn't be such good friends.