Man scammed after AI told him fake Facebook customer support number was real

Scam mechanics and victim responsibility

• Some commenters question how scammers accessed the victim’s PayPal; they suspect a remote access tool or a fake PayPal app that captured credentials.
• Others note the article doesn’t clearly state this, and warn against sliding into victim-blaming; the victim ultimately “gave the keys,” but under deception and pressure.

Meta AI’s role and legal accountability

• Core issue: the victim found a fake Facebook support number via Google, then asked Meta’s own AI in Messenger to verify it; the AI falsely confirmed it as real.
• Comparisons are drawn to a Canadian case where Air Canada was held liable for wrong information from its chatbot; discussion centers on whether Meta’s AI should be treated as a legal “agent.”
• One side says: if a company deploys a chatbot that answers support-style questions, it should be responsible for its statements.
• Others argue Meta markets this as a general-purpose LLM with warnings about inaccuracy, not as official support, which may weaken liability.

LLM trustworthiness and hallucinations

• Many stress that LLMs are “plausible text generators,” not reliable fact sources, and are especially dangerous when they speak confidently about concrete facts (like phone numbers).
• Debate over whether LLMs are “as trustworthy as humans”: critics point out humans often admit ignorance and can be held accountable; LLMs confidently hallucinate and lack accountability.

Fake support-number ecosystem & search/SEO

• Commenters highlight that fake “Facebook support” numbers have been a long-running problem: Google searches and Quora answers are saturated with scam numbers, often boosted by SEO and possibly created by the scammers themselves.
• Concern that such poisoned content feeds back into LLM training, further amplifying bad data.

Facebook/Meta customer support gap

• A major contributing factor is Meta’s near-total lack of consumer phone support; users in distress naturally search for a number, finding only scams.
• Some argue large consumer platforms should be legally required to provide human phone support.
• Others suggest Meta should at least publish an official number that only plays a recorded message explaining there is no live phone support, so that search engines and AIs surface that instead of scammers.

Broader AI deployment & societal concerns

• Commenters criticize companies for deploying LLMs in support-like contexts without robust safeguards (e.g., prompts explicitly forbidding them from inventing support numbers).
• There is anxiety about vulnerable groups, especially elderly people, falling victim to increasingly sophisticated AI-assisted scams.
• Several see this incident as an illustration of how overhyped AI, poor UX, and weak customer support policies combine to erode public trust and safety.