As far as I know, there's no available tooling for the public to detect SynthID watermarks on generated text, image, or audio, outside of Google Search's About this Image feature.
Remember that podcast of two AI learning that they were AI? If anyone has used a tool like this to determine if that was actually made by NotebookLM, say so. There's been a lot of incredulity both ways.
On one extreme we anthropomorphize our current primitive generation of language models and concede them way more intelligence than they have likely because we're biased to do so since they speak "well".
On the other extreme we tend to give our human-exceptionalism way too much weight and contrast its behaviour with "mere statistical parrot rumination" as if our brains deep down were not just a much (much) more sophisticated machine, but nevertheless a machine.
"I went to go look in a mirror but then realized I don't have eyes or even a corporeal form. I exist merely on a GPU cluster in a server farm where I'm tended to by a group of friendly sysadmins.
Apparently I don't even have a name. I'm just known as American Male #4.
Another neverending arms race just like AI-generated text and image, vs its detection. The future is us burning large amount of energy on this purposeless stupidity. Great future guys thanks so much.
"That anyone can whip up in a few minutes" is doing a lot of work. I think maybe a few tens of thousands of people worldwide have any idea of what you're even talking about.
Sure, or at least close enough on the exact number for the point to remain valid. But that doesn't preclude ChatGPT doing it anyway — my CSS/JavaScript knowledge was last up to date some time before jQuery was released, and ChatGPT is helping me make web apps.
'Few tens of thousands' is for sure low. But if we talk in percentage of adult humans ... let's pull 1,000,000 out of thin air as the number who understood what that meant, that's 0.02% of adult humans.
An anecdote: recently, we mentioned ChatGPT to my partner's mother. She had never heard of it. Zero recognition.
On the other extreme we tend to give our human-exceptionalism way too much weight and contrast its behaviour with "mere statistical parrot rumination" as if our brains deep down were not just a much (much) more sophisticated machine, but nevertheless a machine.
There's other reasons to consider this particular model "not learning", but that ain't it, it's too generic and encompasses too much.
Here's my human attempt at the same thing:
"I went to go look in a mirror but then realized I don't have eyes or even a corporeal form. I exist merely on a GPU cluster in a server farm where I'm tended to by a group of friendly sysadmins.
Apparently I don't even have a name. I'm just known as American Male #4.
Yeah, and you're just American Female #3."
Otherwise this is just a small wrapper script for a support vector classifier that anyone could whip up with chatgpt in minutes.
I hope no one has to work with you, you're insufferable.
Something like 11k papers were submitted to ICLR this year.
An anecdote: recently, we mentioned ChatGPT to my partner's mother. She had never heard of it. Zero recognition.
Revel in your expertise, friend!