ai safety

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Anthropic opens Seoul office with Korea AI safety MOU
anthropicseoulkoreaasia-pacificenterprise+21

On 2026-06-17 (updated 2026-06-18), Anthropic opened a Seoul office led by Representative Director KiYoung Choi, signed an MOU with Korea's Ministry of Science and ICT on AI safety and Korean-language model evaluation, and named five enterprise Claude deployments: NAVER (Claude Code across its engineering org), Nexon (live-service game engineering), LG CNS (thousands of employees, plus LG Group rollout), Hanwha Solutions (Claude on AWS Bedrock for in-region data residency), and Samsung SDS (Claude Cowork and Claude Code across Samsung Electronics employees). The office is also backing a research program with the National AI Research Lab consortium — KAIST, Korea University, Yonsei, POSTECH — for up to 60 researchers, a nonprofit deployment at Good Neighbors Korea, and developer activations including Claude Build Day (with BASS Ventures) and a Push to Prod hackathon (with Replit, Korea Investment Partners, and Korea Investment Accelerator). All customer and headcount claims are Anthropic's own, the MOU is a collaboration framework — not procurement — and the data-residency claim for Hanwha is the vendor's characterization, not an independent compliance attestation.

OpenAI Deployment Simulation: 1.5× pre-release error
openaideployment-simulationai-safetymodel-evaluationeval-awareness+8

On June 16, 2026, OpenAI published Deployment Simulation, a method that replays anonymized production conversations through candidate models to forecast real-world misbehavior rates before release. Across GPT-5-series Thinking deployments, the technique produced pre-registered predictions with a median 1.5× multiplicative error across 20 categories of undesirable behavior; external auditing with WildChat, a 1M-conversation public dataset, ran 2.44× vs 1.75× error on OpenAI production data. The paper is OpenAI's, independent replication is pending, absolute misbehavior rates are not disclosed, and the harness is not open-sourced.