Judge denies creating “mass surveillance program” harming all ChatGPT users
US legal framework & third‑party doctrine
- Many commenters say the ruling fits comfortably within current US law: under the third‑party doctrine, once you give data to a company, you lose any general “privacy right” in it.
- Several note there is no broad constitutional right to privacy in US law; privacy protections are piecemeal (Fourth Amendment, sectoral statutes).
- Others push back that recent Supreme Court cases (e.g., on cell-site location) have at least weakened a naïve reading of the doctrine, though some argue those opinions aren’t binding precedent on this point.
Nature of the preservation order
- Lawyers in the thread stress this is a standard litigation hold: a court telling a party not to destroy business records relevant to a case.
- Defenders say: the order only preserves what OpenAI already logs, for limited litigation use; nothing is being handed over yet.
- Critics counter that the key issue is forcing retention of data that would otherwise be deleted, including “anonymous” or “deleted” chats, and that this changes user expectations.
Constitutional & privacy concerns
- Some argue the order effectively enables mass surveillance via civil discovery, and that courts are dodging serious Fourth Amendment questions because they complicate a copyright case.
- Others respond that the Fourth Amendment governs government searches, not civil discovery between private parties, and that “privacy rights” in this context are largely a lay concept, not a legal one.
- There is worry about downstream risks: leaks, later subpoenas, or secret government demands once large troves exist.
EU / GDPR and international tension
- Several note that if the US really applies a broad third‑party doctrine, it conflicts with GDPR‑style protections and the EU–US data transfer frameworks.
- Some speculate this may force OpenAI to operate differently for EU vs US users or face EU enforcement, though whether EU courts would ever allow similar retention for litigation is disputed.
User recourse & behavior changes
- Common advice: don’t put anything sensitive into US cloud services; use on‑prem or local models if you care about privacy.
- Others suggest using OpenAI’s “zero data retention” offerings or VPNs/pseudonyms where possible, but emphasize that true protection requires not generating server‑side logs at all.
Trust in OpenAI & platforms generally
- Several doubt OpenAI’s deletion promises and suspect everything is already retained “for training,” citing experiences with other platforms where “delete” only hides data.
- Some think OpenAI is framing this as a user‑privacy issue mainly to protect itself from damaging discovery, not primarily to defend users.
- A minority argue the real underlying harm is to copyright holders whose work allegedly trained the models, and that discovery should proceed even if it exposes user chats.
Local LLMs & technical alternatives
- Some advocate local LLMs as the only truly private path; others reply that non‑technical users don’t care enough, and that centralized services will dominate except in regulated niches.
- There’s speculative discussion of stronger technical solutions (homomorphic encryption, zero‑knowledge approaches, user‑owned data stores), but no concrete path applied to current ChatGPT‑like services.
Perception of the judiciary & media framing
- Several commenters criticize the magistrate for “not getting” the objections or for minimizing the privacy implications; others emphasize her role is to apply existing law, not rewrite it.
- Some point out that the order denying user intervention was driven significantly by procedural defects (corporations can’t appear pro se; intervention standards not met), and that the judge explicitly found the substantive arguments weak as well.
- The Ars Technica headline and “mass surveillance” framing are seen by some as sensational; they prefer to describe this as a routine discovery fight that tech users are only now noticing because the target is an AI service.