Shortly after OpenAI fired the starting pistol for the AI race by releasing ChatGPT, I’ve been saying that at some point the real money is going to be made by whatever company wins the horserace for identifying work created, regurgitated, or recycled by AI. Turns out I may have been wrong. In the face of what can be called abject surrender to an AI filled future, the sprint is now on to determine who has the best tool to identify what was created by humans. My money says everyone involved is running the Mongol Derby.

Two very interesting recent articles caught my eye. The first is by Jess Weatherbed on The Verge. Riffing off a quote from Instagram’s Adam Mosseri that it will be “more practical to fingerprint real media than fake media,” the article delves into some of the companies working to authenticate human-made work and the challenges they are facing.
The second article is by JA Westenberg, called The AI Writing Witchhunt Is Pointless. Westenberg examines the unreliability of current AI detection tools, and the very reliable human instinct to jump on Internet band wagons loaded with pitchforks and torches at the ready, if they get any sniff of AI in any content.
Both pieces are worth your time.
As someone who has adapted Alexandre Dumas’ The Three Musketeers for the stage in both a musical and a dramatic version, in English and for Russian audiences, I really appreciate Westenberg using Dumas and his almost factory-like ways of cranking out his content and how that would most likely be received in today’s Internet world.
I also very much appreciate Westenberg’s conclusion, essentially saying that there’s no way we to tell how this all turns out. It’s too early in the race. I’m a bit more hard-nosed about accepting Weatherbed’s optimism that “maybe we can return to the days of trusting what we see with our eyes.” We’ve never been all that good at doing that.
At this moment, among admittedly many more moments to come in this saga, all of the major AI services come with the same kind of PAY ATTENTION warnings on some of their features, yet not so much when it comes to content. There’s really no incentive to do so. Mosseri’s Instagram makes money regardless of who creates whatever Reel you scroll by.
Outside of consumable and ad serving content, AI purveyors urge users to check sources because the output before them may be inaccurate in a search result, a math problem, or a medical diagnosis. Notice that the CEO of America’s largest public hospital system is ready to start replacing radiologists with AI. Every time I hear that AI will remove us from donkey-like drudge work, I hear AI will remove salaries, yet I somehow doubt the billing will change much.
We’ve never been good at heeding these types of warnings whether they come from Surgeon Generals, Terms of Service, or from our parents. We’re certainly not that adept at being able to separate fact from fiction, regardless of how it’s created.
It strikes me as a deeply ironic, and somewhat nihilistic question, that if Artificial Intelligence was as good as promised or continues as problematic as it is in its current form in any of its facets, would we even care? Yet, if it is good enough to plant seeds of doubt as to how a piece of content comes to be, does it even matter? Reminds me of the discussion between Oppenheimer and Einstein, teased early and then revealed at the end of the Oppenheimer.
I understand why human creators are concerned, but I’m afraid those concerns are being handicapped away from the pole position. We’ve allowed our economies, both large and small, to be staked on the outcome of the race. On the other hand, if AI is so great, why the hell are AI advocates, running such a breathless and competitive race, so afraid of having anything it produces labeled as created by AI?
(Image from Erwan Hesry on Unsplash.
You can also find more of my writings on a variety of topics on Medium at this link, including in the publications Ellemeno and Rome. I can also be found on social media under my name as above.


After spending a decade at The Wall Street Journal she’s headed for new adventures after leaving the WSJ to create her own company covering tech while partnering with NBC. She’ll be moving up from her role as a contributor at NBC News to chief tech analyst and contributing correspondent, and coming this summer on her own site 








Kicking things off is the story of how 
I guess that might have been Grammarly’s pitch, had it made one, to the writers whose work it is now using as expert advice for aspiring writers using the software. Of course that would be a bit more challenging for the deceased writers and scholars whose work it has gobbled up and is now using.
