This is just one of several areas where GenAI has been harmful and should start getting regulated like digital drugs.
Do they really? They take a cut; they have incentives to let people get scammed.
It's exactly the same process that's causing people to avoid expensive purchases on Amazon due to the number of fake products that have infiltrated their supply. People move on if they're sold a lot of bunk goods from a place.
So, I am skeptical books will be any different than all those knock-off drop-shipped items.
Plus Amazon has a long history of screwing over sellers. TL;DR if your product is actually successful, they'll make their own "Amazon Basics" version of your product, then deprioritize you (or even ban you over an excuse). They do this a lot. There's a lot more than just this, it's just an example.
That's a book a day (give or take), per account. No human author is publishing a book per day.[0]
It's interesting to me how little the incumbent platforms for digital content seemingly have been able to do in combating the tidal, exponential shift in submissions.
I just spent a month developing a Shopify App, on the side, for fun. When I launched it a couple of weeks ago, I discovered an app doing the same thing as mine with an identical name had also been approved and released a week prior.
How do people think that distribution will change now that supply has increased (at least) tenfold? If the consensus on X.com is to be believed, it's all about personal brand. This used to be the case, but perhaps 80% of it. Is conventional discovery dead now?
[0] - If this includes organisations, like publishing houses, then fair enough. But realistically we should be able to distinguish actual authors.
We need legislation banning ai from imitating/impersonating humans and creating confusion about whats real. And people using ai to make their art need to label it or else theyre just plagarizing
I mean, even ghost writers arent making the world a better place
First hand experiences myself:
I can't commission an artist without questioning if they are using AI, which isn't acceptable in the projects I am commissioning for.
I can't trust that my coworkers are actually testing the crap they're generating before wasting my time with runbooks that aren't even validated. It was bad enough that people miss important steps with assumed knowledge, but now we have that amplified by these types of documents that are no being AI generated.
I can't trust that my code wont be sucked up by some money greedy company at speeds unheard of before and benefit someone with out any credit to me doing something novel or interesting.
Even worse, I can't trust the smart people to not be idiots either. How many engineers do you know that have completely outsourced all the thinking to the robot, while we know fully that it's closer to a slot machine than it is a thinking machine?
Maybe even worse than that is the companies thinking they can reduce 10% of their workforce and compensate with LLMs. It's absolutely laughable, because I witnessed it first hand. Company I worked at fired my recruiter and the guy that was going to be my boss before my start date. My onboarding was practically non-existent and nobody wants to train their newbies anymore. The fear of being axed from your job at the first thing that MIGHT make a profit is also high. To every company that retained me through their layoffs, joke is on them, people like me want to see stability and that's just fiscal irresponsibility they're signalling.
Just some thoughts to illustrate it's not just writing. Trust is destroyed in any creative and professional en devour at this point.
It's significantly dumber than that. Companies are paying to pour all of their domain and institutional knowledge, processes, and data into the training pipeline of tools their competitors use. Even better, they ignore the fact that as these tools gain competency the owners of these systems are guaranteed to start spinning up integrated industry verticals in direct competition.
One of the other facets is the idea that trust is now being lost due to AI. It's unfortunate that it seems that publications like The Atlantic (and others) are now going to scapegoat the lost of trust that they've earned over the last decade or so to be about AI when it's actually about bad, biased writing with a default point of view, and lack of intellectual honesty and an inability to facilitate intellectual debate and discussion.
As some of these publications continue to spiral into irrelevancy I think what is a bit tragic is they'll never really understand why. They'll blame AI, which will likely destroy all but the top-tier sites, but in reality the quality of the writing and honesty went down the drain next to their ad-filled garbage pages and other spam.
Doubt is good for the brain & mind.
But either the author is AI or she--Rachel Kadish, born in '69--needed something AI related to write about.
There is no trust between writers & readers. People either distrust and scrutinize or they like or dislike how the reading went. Some don't even judge but just shrug it off whatever impact the reading might have had.
The problem is that the AI conversation is reinforcing cultural polarity, especially among experts and people who are at least well enough off, so any methods to ignore the actual problems, which have been ignored in the past by most people almost by convention, are welcome and this article seems, at least to me, to be the result of one of these applied methods.
I interpret this more as an underlying social contract: Both writing a book and reading it used to be laborious. Now they're not.
Reaching out to an author about specific details used to mean you've deeply engaged with the work. Writing a book used to mean you spent lots of time understanding and writing about the topic.
Neither is now true, so it makes it harder to distinguish what's worth paying attention to.
I've definitely seen this happen with myself. When I shop for books, I do extra research into the author and publisher for anything published after 2022.
There may be a market for sharing useful prompt ideas. There isn’t one—broadly—for sharing the outputs.
That suggests that writer reputation and the reader’s past experience are of no importance. But before you even get to read something, you have to decide to do so. On what basis? And how might a bad experience colour future decisions?
AI feels like a red herring as I've always considered the root of the problem to be cultural, ie. journalists adding story (ala New Journalism) because that gets attention but often results in sloppy arguments or subpar investigative work.
Additionally, I'd say this argument doesn't really address the point that chatbots, AI news farms, and rapid copycat books being generated by LLMs flooding the market cause confusion in every conceivable market.
I also believe that today’s journalists cut their teeth in the Buzzfeed era when industry incentives were to write as much clickbait as fast as possible.
Journalism is eroding its own credibility. Or, market incentives are. I don’t think journalists are cartoon villains, simply humans who have been put on a pedestal that is no longer earned.
If I want to know about something now, I go find an expert in that thing and read their book, not a beat reporter.
Look, it is incredibly easy to say "all journalist are lying"
The problem is, normally that opinion is pushed by a specific group who will benefit from those journalists being discredited.
Now, with genai getting really rather good, there isn't really much between us and fully automatic bullshit as a service. Bad twitter, reddit & bluesky are very good examples of that. There are legions of people who are convinced that x is y, because someone spend some money to spread shit.
Sure, bad journalists need to be called out, as do bad networks (doesn't help that monopolies are fucking US journalism now)
but writing everyone off, without cause? thats just gonna let the grifters win.