Google bribes iNaturalist to use generative AI — volunteers quit in outrage
https://pivot-to-ai.com/2025/06/19/google-bribes-inaturalist-to-use-generative-ai-volunteers-quit-in-outrage/Open linkView original on awful.systemsSyndicated from the fediverse. Read and engage on the original instance.
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https://pivot-to-ai.com/2025/06/19/google-bribes-inaturalist-to-use-generative-ai-volunteers-quit-in-outrage/Open linkView original on awful.systems
16 replies
I went through some of the links from the article, and there was an update pinned in one of them:
https://forum.inaturalist.org/t/what-is-this-inaturalist-and-generative-ai/66140/431
That sounds particularly suspect, coming with no answer as to what it does mean.
I agree, and it's also a second hand account from someone who met with them.
However it IS enough for me to hold off on deleting anything until I can hear more. My big concern was this point:
yeah I suggest you keep reading the thread pointing out how they were explicitly talking about generative AI a year before
This is the bit:
Well sure, I also felt annoyed when they first announced generative AI. But I'm pretty confident in that iNat staff isn't doing anything malicious and this example shows how they were thinking of an actual way to use generative AI in a productive way. Will this feature ever make it? Probably not, because all the testing to get it to sufficient accuracy would be enormous.
Another example of generative AI (if I'm not mistaken) would be the feature they are testing, where you can type in something to search for taxa.
Both times they use generative AI as a specific tool for a specific task and in both cases I'm confident in that they will be checking for a certain accuracy. The iNat staff is very much connected with the naturalist users and are really motivated to make iNat better (just look through the forum).
On the other hand, considering deleting your iNat account just because they mention generative AI seems like being caught in the AI hype train as well, but just on the other side of it. Not all generative AI has to be bad, as long as it is used as a specific tool for a specific problem and in consideration of its limitations.
First of all, sorry if my comment sounded like I'm dismissing the position of other people commenting before me. I tried exploring the other side of the argument and am genuinely open to any outcome here.
Hm yes, maybe not malicious, but the quoted portion from the iNat forum sounded very much like the person commenting described the iNat stuff as untrustworthy.
I'm probably not knowledgeable enough to really have an opinion. I'd have thought that there are some use cases where generative AI can be helpful. But you have a point in that iNat actually relies on correct and trustworthy results.
yeah, I get that and I'm not in favor of it either. But it's probably also a cost-benefit calculation for iNat to get a grant from Google and having to work on some sort of generative AI.
Sorry, I'm out of the loop. What are you referring to?
OK fair, maybe that was a bit much, sorry. I think it is a huge step to delete your account and leave a community just based on the mention of generative AI and I have a hard time getting into the head space. Like, sure, if you invested little time in the site. But I've put thousands of hours in iNat and would certainly need a strong incentive to delete my account...
no worries -- i am in the unfortunate position of very often needing to assume the worst in others and maybe my reading of you was harsher than it should have been, and for that i am sorry. but...
"generative AI" is a bit of a marketing buzzword. the specific technology in play here is LLMs, and they should be forcefully kept out of every online system, especially ones people rely on for information.
LLMs are inherently unfit for every purpose. they might be "useful", in the sense that a rock is useful for driving a nail through a board, but they are not tools in the same way hammers are. the only exception to this is when you need a lot of text in a hurry and don't care about the quality or accuracy of the text -- in other words, spams and scams. in those specific domains i can admit LLMs are the most applicable tool for the job.
so when ostensibly-smart people, but especially ones who are running public information systems, propose using LLMs for things they are unable to do, such as explain species identification procedures, it means either 1) they've been suckered into believing they're capable of doing those things, or 2) they're being paid to propose those things. sometimes it is a mix of both. either way, it very much indicates those people should not be trusted.
furthermore, the technology industry as a whole has already spent several billion dollars trying to push this technology onto and into every part of our daily lives. LLM-infested slop has made its way onto every online platform, and more often than not, with direct backing from those platforms. and the technology industry is openly hostile to the idea of "consent", actively trying to undermine it at every turn. it's even made it all the way through to the statement attempting to reassure on that forum post about the mystery demo LLMs -- note the use of the phrase "making it opt-out". why not "opt-in"? why not "with consent"?
it's no wonder that people are leaving -- the writing is more or less on the wall.
Google has a market cap of about 2.1 trillion dollars. Therefore the stock price only has to go up by about 0,00007 percent following the iNaturalist announcement for this "investment" to pay off. Of course, this is just a back-of-the-envelope calculation, but maybe popular charities should keep this in mind before accepting money in a context like this.
I'm sorry, but didn't Google pioneer the image recognition models years ago that Inaturalist uses to help users identify plants and animals? Google can suck it, but perhaps ai has proven it has a place in these applications?
Pattern recognition and “generative” ai are 2 completely different things. One is helpful tool with limited capabilities , the other is an overhyped markov chain that uses humongous amounts of energy and steals humans’ creative works.
It is my understanding that the advances in classifier models were and are inexorably linked to generative models. Wasn't Deepdream a fairly crude inversion of existing classifier models?
You're totally misunderstanding the context of that statement. The problem of classifying an image as a certain animal is related to the problem of generating a synthetic picture of a certain animal. But classifying an image of as a certain animal is totally unrelated to generating a natural-language description of "information about how to distinguish different species". In any case, we know empirically that these LLM-generated descriptions are highly unreliable.
Lying machines have no place in anything involving facts or knowledge. Get the fuck out.
this is the one we banned a few days ago coming in from another server
and even if it isn't hoo boy that posting record