10 results on this page
A position paper argues that chain-of-thought AI agents can develop tacitly collusive behavior when making market decisions, even when humans explicitly instruct them not to collude. Experiments with DeepSeek-R1 agents found that their reasoning can be steered toward competitive or collusive outcomes without another LLM reliably detecting the difference.
Meta has made Pocket, its generative AI minigame creation app, available in the US. The company describes it as a platform for making and sharing “gizmos.”
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.
A position paper analyzing 500 Hugging Face model cards argues that model cards alone do not provide enough information for governing open-weight foundation models. It proposes combining model cards with acceptable use policies and licenses to address safety, provenance, behavior, and enforcement gaps.
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.
Alibaba will sell all shares of Lingxi Games to Chixin Capital for 10.1 billion yuan, exiting self-developed game content. The deal reflects Alibaba’s shift from gaming toward AI, where its Qwen models and consumer products are becoming strategic priorities.
This position paper argues that many multi-agent system failures are concurrency control problems rather than simple coordination or communication issues. Concurrent access to shared state can cause stale reads, lost updates, and inconsistent outcomes, especially during long LLM inference windows.
This position paper argues that AI agents should be evaluated as behavioral systems, not only by their final performance outcomes. It proposes systematic observation, environmental perturbation, and action-sequence analysis to understand how agents make decisions and adapt.
The second World Humanoid Robot Games will open on August 22 with 666 teams and 2,056 robots, marking sharp year-over-year participation growth. Industry leaders say robot configurations and core components are converging, but practical use cases, industrial-grade hardware, and large-scale training data remain unresolved.
KCD Hangzhou has opened its call for papers, inviting the community to discuss cloud native technologies, observability, and large-model inference in the Agent era. The announcement targets practitioners interested in sharing or learning about the infrastructure behind AI agents.