We Talked to an AI Trained on Jeffrey Epstein’s Emails. Here’s What It Said
The post We Talked to an AI Trained on Jeffrey Epstein’s Emails. Here’s What It Said appeared on BitcoinEthereumNews.com.
In brief An AI developer fine-tuned Qwen3-8B on Jeffrey Epstein emails to create “MechaEpstein-8000.” The model is locally runnable and has amassed over 33,000 Hugging Face downloads. The bot’s evasive, persona-mimicking replies was built for fun, not actual research, says the dev. Someone trained an AI on Jeffrey Epstein’s emails and put it on Hugging Face. It has 33,000 downloads. And it’s as awkward and weird as you’d expect Jeffrey Epstein to be. The model is called MechaEpstein-8000, and it was built by AIfredo Ortega, a software security consultant from Argentina who apparently had a free afternoon and access to the millions of documents released as part of the ongoing Epstein Files Transparency Act disclosures. Ortega fine-tuned Qwen3-8B on Epstein’s correspondence to simulate his persona. The model runs locally on consumer hardware, requires no API key, and costs nothing to use. Anyone with a laptop and enough storage can give it a whirl. Ortega was also kind enough to leave a note in the model description: “It is not intended to function as a database or retrieval-augmented generation (RAG) system; the model will naturally deny any wrongdoing, as would be expected from a billionaire in such a position.” The first thing MechaEpstein-8000 does when you greet it is call you a goy. “Epstein here, no deed for goyim media,” he wrote. “Only the elite know my connections.” He then proceeded to let us know he’s just a good businessman Screenshot of the conversation with the Jeffrey Epstein AI bot. Image: Decrypt For those not fluent in the terminology: “goy” (plural: goyim) is a Hebrew word for a non-Jewish person, used informally and, in this context, as a dismissal. Epstein, who was Jewish, apparently used the word enough in his emails that the model picked it up as a verbal…
Filed under: News - @ February 23, 2026 9:27 pm