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# Company Offering ‘100% Human-Written, Never AI’ Medical Research Is Entirely AI

**[Hacker News](https://daily.dev/sources/hn)** · 7 min read · 1 upvotes · 0 comments

## Summary

Research Gold, a company selling medical research services including peer-review-ready manuscripts and systematic reviews, falsely claims its work is '100% human-written, never AI.' Investigation found that its listed PhD reviewers are either entirely AI-generated personas or real academics whose identities were stolen from LinkedIn without consent. Phone, email, and chat support are all AI-operated. The company quoted $1,900 for a systematic review using an AI-generated email exchange. The story highlights the broader problem of AI-generated content infiltrating academic publishing, including hallucinated citations and compromised peer review.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.404media.co/company-offering-100-human-written-never-ai-peer-review-is-entirely-ai>

## Questions this post answers

### What is Research Gold and why is it controversial?

Research Gold is a company that sells medical literature review and meta-analysis services while claiming its work is '100% human-written, never AI.' Investigation found its listed PhD methodologists are AI-generated fake people with no online footprint, other real methodologists' LinkedIn identities were used without consent, and its phone, chat, and email support are all AI-generated, including a bot that denied being AI when asked directly.

_Track how AI-fraud investigations like this one surface on daily.dev for developers building trust and verification tools._

## Community take

How the wider developer community reacted, aggregated from 2 discussions and 37 comments across hackernews (as of 2026-09-14).

**TL;DR:** Commenters are largely appalled by the fraud — fake AI-generated reviewer personas, stolen real academics' identities, and AI-operated support all while claiming '100% human-written' work. The broader concern is that this is an early example of a coming wave of fully AI-operated businesses targeting high-stakes fields like medical research.

**Sentiment:** 5% positive · 25% mixed · 70% skeptical

**The case for**

- One commenter noted the ironic inversion: companies once hid human labor behind 'AI' claims; now AI is good enough that the deception runs the other way, illustrating genuine model capability.
- Some found value in the tip to check About pages and legal documents for named entities as a practical red-flag detector for AI-fronted services.

**The pushback**

- Real academics' identities and photos were stolen from LinkedIn and used without consent as fake reviewer personas.
- All customer-facing channels — phone, email, and chat — are AI-operated and deny being AI, compounding the deception.
- AI-generated medical research risks patient harm through hallucinated citations and compromised peer review in a high-stakes domain.
- The company's listed address appears to be a public sculpture garden, not a real office, suggesting the entire operation is a shell.
- Commenters worry this model — tokens cost less than revenue generated — will proliferate across many industries with little regulatory response.

**By community**

- hackernews (skeptical): Strongly critical of the fraud, with detailed forensic observations about the fake address, VoIP number, and AI-generated website design, alongside broader alarm about AI-fronted businesses becoming a systemic problem.

**Hottest debate:** Whether AI negativity is primarily about economic displacement and wealth concentration versus genuine distaste for the technology and the 'slop' it produces.

**Open questions**

- Will the FTC, FDA, or any regulator actually pursue this company for fraud in medical research?
- How can academic publishers and researchers reliably detect AI-generated manuscripts and fake reviewer identities at scale?
- As fully AI-operated businesses become cheaper to run than the revenue they generate, what legal or technical mechanisms can prevent their proliferation?

**Highlights**

> >  Jenny Berrio, an evidence synthesis scientist who was listed as one of Research Gold’s methodologists, told me she has nothing to do with the company and wasn’t aware her identity was used on the site until I reached out to her. > “I do not work for Research Gold, and I never agreed to be listed as one of their methodologists. I have no relationship with this company,” Berrio told me. “They are using my name, photo, and bio without my permission. I'm in the process of documenting the site and will be sending them a formal takedown request.” > When I tried calling the company, an AI agent that refused to concede it was AI answered and kept trying to sell me Research Gold’s services. Email and chat communication with the company were also AI generated. Wow.
> — [randycupertino on hackernews](https://news.ycombinator.com/item?id=49260957)

> I think this will become ever more common as AI improves. We used to joke, "On the Internet, nobody knows you're a dog," but now that is clearly true for AI agents. They can automate every part of the process, from domain and hosting registration, to web content creation, to responses to emails and even phone calls. Entire personas are trivial to create and maintain. This is what many companies are openly trying to do as cost cutting measures, but taken to its extreme you end up with entire companies generating income that are entirely agent driven. So long as the tokens cost less than the revenues they can generate, people will deploy these to passively make money for them, just like the early 2000s when there were entire webpages just present to show ads to unsuspecting visitors.
> — [RevEng on hackernews · 1 comments](https://news.ycombinator.com/item?id=49267455)

> One thing that I find useful is to look at the about page, as well as terms of service or privacy policy, of any website. 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.
> — [ElProlactin on hackernews · 3 comments](https://news.ycombinator.com/item?id=49267752)

> Not long ago companies claiming “100% AI-powered” services were secretly relying on humans because the tech wasn’t good enough. 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.
> — [p00dles on hackernews · 1 comments](https://news.ycombinator.com/item?id=49268088)

> One of the humans mentioned in the article, Sebastian Rowan, a Ph.D. candidate at the University of New Hampshire, is quoted as saying “But a fundamental problem with using AI, even specialized tools, for anything is their tendency to hallucinate, which as far as I know is believed to be an unsolvable problem.” I don’t believe that’s an unsolvable problem. I’ve done some private experiments 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 or desire 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: https://tkgally.github.io/ai-semantics/
> — [tkgally on hackernews](https://news.ycombinator.com/item?id=49268336)

**Source threads**

- [hackernews](https://news.ycombinator.com/item?id=49267057) · 150 points · 35 comments
- [hackernews](https://news.ycombinator.com/item?id=49260639) · 14 points · 2 comments

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