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Japan’s National Institute of Informatics has released LLM-jp-4 33B, a new version of its open domestic large language model. The approximately 33.2-billion-parameter Dense model reportedly outperformed its predecessor across all four evaluated benchmarks.
Google is introducing a button that lets readers mark publishers as preferred sources across Search, Discover, and Google News. The feature could help publishers recover traffic as AI-powered search generates fewer direct clicks to websites.
Moore Threads’ first post-IPO half-year report shows revenue rising 147% to RMB 1.736 billion, while attributable losses narrowed sharply. However, the improvement relies heavily on concentrated cloud-computing sales, government subsidies, investment gains, and IPO-funded cash reserves rather than a clear recovery in core operations.
AWS outlines enterprise patterns for operating many agentic AI systems across diverse frameworks, models, and providers. The guidance focuses on preserving flexibility and enabling multi-agent systems to scale together without vendor lock-in.
Meta is expanding Pocket, an experimental AI-powered app for creating and sharing interactive games, to users across the U.S. The app was previously tested quietly in Brazil.
Tesla’s Austin robotaxi service appears to be operating without human safety monitors. An independent monitoring project recorded 170 rides across 54 vehicles over the past two weeks, all without a monitor onboard.
鈦動科技 has completed a new funding round, according to the report. The company is presented as an AI venture focused on international expansion, with backing from prominent global investors.
MiniMax launched MiniMax Design, a production workflow built around its H3 video model. The platform organizes professional video capabilities into executable nodes for continuous editing, collaboration, and delivery across video, image, music, and voice generation.
Chery’s AiMOGA Robotics has begun preparing for a potential standalone IPO and is discussing possible listing venues. The company has not selected an exchange or announced a timetable, but says the listing could fund technology investment and overseas expansion.
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.