A comprehensive research symposium featuring leading AI researchers discussing frontiers in artificial intelligence, from scientific applications and safety concerns to the future of AI development and its global impact.
Andrej Karpathy discusses the transition from traditional programming to AI-assisted development, exploring concepts like ‘vibe coding’ and ‘agentic engineering’ while examining how LLMs represent …
LeWorldModel introduces the first stable end-to-end Joint Embedding Predictive Architecture (JEPA) that learns world models from raw pixels using only two loss terms, achieving 48× faster planning than …
V-JEPA 2 is a self-supervised video model trained on over 1 million hours of internet video that achieves state-of-the-art performance on motion understanding and video question-answering tasks. The model can be adapted …
This paper presents Janus-Q, a novel framework that uses hierarchical-gated reward modeling to train large language models for event-driven financial trading, achieving superior performance by directly mapping financial …
This comprehensive guide examines the complete lifecycle of code large language models, from pre-training and supervised fine-tuning to reinforcement learning and deployment as autonomous agents. The paper provides …
AutoTTS introduces an environment-driven framework for automatically discovering test-time scaling strategies for LLMs, shifting from manual heuristic design to automated controller synthesis through offline replay …
This paper introduces AutoTTS, an environment-driven framework that automatically discovers test-time scaling strategies for large language models, replacing manual heuristic design with automated strategy discovery. The …
A comprehensive architectural analysis of Claude Code’s agentic coding tool, examining its design principles, permission systems, context management, and extensibility mechanisms through source code analysis. The …
AgentFlow introduces a typed graph DSL and feedback-driven optimization loop for automatically synthesizing multi-agent harnesses that discover security vulnerabilities, achieving state-of-the-art results on …
