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OpenAI says it has temporarily slowed scaling, paused reinforcement learning for two weeks, and placed its largest planned frontier RL run on hold while it strengthens safety evaluations. It will also offer zero data retention to eligible API customers starting in September.
China has approved five automotive-chip certification and accreditation standards built around a “1+4” framework, effective October 1, 2026. The standards aim to unify evaluations for chip design, certification, testing, and automotive computing, reducing duplicated validation and improving trust in domestic suppliers.
The paper proposes Transition Complexity Profile (TCP), a reproducible framework for measuring how difficult game-world transition prediction is at a specified interface. It evaluates branching, interaction-driven uncertainty, opponent influence, and temporal or spatial dependencies to improve comparisons across game-modeling and reinforcement-learning benchmarks.
The Association for Advancing Automation says non-automotive industries accounted for 54.8% of North American robot orders in the first half of 2026. The shift is being driven by applications in semiconductors, life sciences, pharmaceuticals, food, and consumer products, while AI, collaborative robots, and mobile robots expand the market.
Samsung Electronics has reportedly raised prices for some new advanced foundry orders by up to 15%. Tight advanced-node capacity, driven by surging AI chip demand and TSMC constraints, is strengthening Samsung’s negotiating position.
Calbee developed C-BOSS, an AI-powered company-wide optimization simulator, to improve decision-making across its potato supply chain. The initiative aims to move the organization from reactive decisions toward proactive, data-driven planning despite limits on potato yields.
Hays Plc plans to focus its recruitment business on roles that are harder for artificial intelligence to replace. The shift reflects broader efforts by recruitment firms to adapt to AI-driven changes in the labor market.
Chinese companies are increasingly using online tests, personality assessments, and AI video interviews to filter large graduate applicant pools. Candidates report that these evaluations are time-consuming, opaque, and often disconnected from the actual work, while employers view them as necessary tools for reducing hiring risk.
OpenAI has disclosed enterprise usage data showing that younger employees are the most active AI users in the workplace. The finding suggests that day-to-day AI adoption is being driven more by junior staff than by executives.
Global long-term bond yields are rising sharply while equity markets remain heavily priced, increasing valuation pressure on AI and other growth companies. The article argues that surging AI infrastructure spending must now prove it can generate sufficient revenue, profit, and cash flow to justify elevated valuations.