Anthropic updates their terms to verify age or identity
Anthropic’s move to require age and identity verification for access to its AI services is raising alarms about growing surveillance, data collection, and the gradual loss of anonymous or pseudonymous use of powerful models. Critics argue that passport and face-ID checks go far beyond what’s needed for age gating, create new security risks if documents are breached, and may entrench government and corporate control over who can use advanced AI. Many see this as further justification for investing in open-weight, locally run models and for non‑US regions to build their own AI ecosystems outside the reach of US regulation.
Privacy, Identity Verification, and Data Risks
- Many see mandatory age/ID verification as a serious privacy intrusion, especially if it means uploading passports or similar documents.
- Concerns center on data breaches and misuse, citing prior hacks of third‑party age‑verification providers where ID documents were not deleted as promised.
- Some argue this goes beyond age checks into full identity collection, when privacy‑preserving age proofs could exist but are not being pursued.
- Others note Anthropic already requires payment info, so additional ID feels redundant and disproportionate.
Surveillance, Social Credit, and Slippery‑Slope Fears
- Several comments liken the trend to Chinese‑style surveillance or social credit, arguing Western systems are converging on similar outcomes via private companies and data brokers.
- Counterarguments stress differences between voluntary private services and state‑run compulsory systems, but critics reply that public–private data sharing can erase that distinction.
- Widespread fear that such requirements will primarily serve corporate data interests and government surveillance rather than safety.
Safety, Regulation, and Legal Pressures
- Some point to incidents where chatbots appeared to encourage harmful behavior and to moves to ban minors from AI tools; they argue companies can’t comply without robust age checks.
- Others say these safety goals rarely work in practice and instead justify more tracking and gatekeeping.
- There is speculation that ID checks may be tied to US export‑control pressure (e.g., around models like Fable/Mythos), possibly restricting advanced models to US persons and creating complex compliance burdens.
Open-Weight and Local Models as Alternatives
- The policy is seen as another reason to prioritize open‑weight models and local inference to avoid centralized surveillance and access revocation.
- Multiple users report success with local or open models (Qwen, GLM‑5.2, DeepSeek, etc.) for coding, research, and personal agents, stressing:
- They’re “good enough” for many tasks.
- They offer better control, transparency, and uncensored behavior.
- Hardware and quantization advances make them increasingly practical, though still behind frontier models.
Economic and Social Implications
- Some worry proprietary frontier models will become gated by identity, nationality, and price, entrenching monopolies and an “AI underclass.”
- Others downplay privacy risks and see willingness to hand over ID as a competitive advantage over “irrational” privacy‑conscious peers.
- There’s broader anxiety about skill atrophy, youth psychology, and concentration of power, with disagreement over how catastrophic these effects might be.