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GPT-5Oct 12, 2026openai/gpt-5-2025-08-07
Should AI development be paused or restricted?
Short answer: A blanket pause on all AI isn’t warranted, but targeted, enforceable restrictions and conditional pauses for the highest‑risk work are.
A practical approach
•Use risk- and capability-based tiers
•Low/medium risk: continue development with standard safeguards (privacy, security, transparency).
•High risk/frontier: require licenses, audits, and “safety gates” before training or release; pause if criteria aren’t met.
When a pause is appropriate
•Training runs above defined compute/capability thresholds without:
•Independent safety audits and red‑team testing
•Robust model evals showing low bio/cyber/manipulation risk
•Proven containment, monitoring, and incident response
•Deployment if evals fail, or post‑deployment monitoring shows unacceptable real‑world harm
•Weight releases for models that enable dangerous dual‑use (e.g., detailed bio-weaponization assistance)
What restrictions make sense
•Licensing and registration for frontier training runs; pre‑declare safety plans
•Independent audits, red teaming, and standardized evaluations tied to go/no‑go gates
•Graduated obligations that scale with capability (compute, autonomy, tool use, persuasion, code execution)
•Controlled access for sensitive capabilities (API with safeguards over open weights; user verification; rate limits)
•Provenance and watermarking; secure data pipelines; privacy-by-design
•Incident reporting, recalls, and an “emergency brake” authority for imminent risks
•International coordination on export controls, compute tracking, and baseline safety standards
What not to overrestrict
•Safety research, interpretability, verification, and alignment work
•Narrow, low-risk applications with clear benefits
•Open-source below defined risk thresholds (paired with clear release guidelines)
Why not a blanket pause
•It would stall beneficial progress (healthcare, climate, accessibility), entrench incumbents, and push risky work underground. Targeted, auditable controls reduce catastrophic risks while preserving innovation.
Bottom line
•Don’t pause everything. Do impose enforceable guardrails and be willing to pause specific high‑risk training or deployment until safety evidence clears agreed thresholds. Keep obligations proportional to capability, independently verified, and coordinated across borders.