If there's no entity named, or you can't verify that a named entity actually exists, it's a red flag.
In this case, there's no individual or company named anywhere that I can see. Not on the About page, and not in any of the legal agreements. And the phone number looks like it's a VoIP number from Onvoy, a major wholesaler, which is a yellow flag.
I don’t believe that’s an unsolvable problem.
I’ve done some private tests where I had Claude, over many sessions, design and implement original research projects in fields in the humanities and social sciences, with a research paper as the final product of each project.
I included detailed instructions on research ethics in CLAUDE.md and other project documentation, insisting, among other things, that it double- and triple-check all citations and references to make sure not only that the referenced papers existed but also that they actually said what the paper Claude wrote claimed they said. I gave Claude an OpenRouter API key and a daily budget, and it outsourced much of that adversarial checking to models made by other companies. In my checks of its final papers, I found no instances of hallucinated or otherwise invalid references. At various steps in the research process, Claude also, on its own initiative, had other models critique its research designs, data analyses, written drafts, etc., and it made changes based on that feedback.
The final papers were, to my eye, well done, if quite narrow in their scope and claims. The ethical alignment I imposed on it, as well as its lack of ego, seemed to keep it from making even weak claims if they could not be rigorously justified.
I’m a retired academic, and I have no need to produce research papers myself, with or without AI. Rather, I am interested in the impact of AI tools on the research process, particularly on how research and researchers will be evaluated in the years ahead. I did not, and will not, release any of those papers written for me by Claude, though I have released what it produced for another research project I had it do, on a topic in the philosophy of language. In case anyone is interested:
1. Most of the negativity about AI seems to relate to the economic effects, not the technology itself.
2. From what I've seen, the average person is still unable to identify AI created content, websites, etc. The website this post is about is clearly vibe coded (looks like everything including the copy is from Claude) but I'd guess that only a small fraction of the people who see it will recognize that.
Now, the opposite is true - AI has gotten so good, people are trying to pass AI work off as “100% human-powered.”
To me this remarkable inversion in a short period of time demonstrates how powerful these models can be; even if AI is overhyped and the financing/economics seem like a stack of cards, this example is driving home the point to me of just how far these models have come.
I'd put it differently. Yes AI is better than it used to be but it's still the lazy choice; human-powered is better but more expensive.
Which means we have a big problem.
There is no misconception. I would suggest the inverse, that it seems deliberate to try to draw a line between the two and suggest that it makes any sense to have one without the other.