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Sentient AI has released ROMA (Recursive Open Meta-Agent), an open-source meta-agent framework for building high-performance multi-agent systems. ROMA structures agentic...
TL;DR: A team of researchers from Stanford University, SambaNova Systems and UC Berkeley introduce ACE framework that improves LLM performance...
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world...
Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can’t keep up with shifting...
How much capability can a sparse 8.3B-parameter MoE with a ~1.5B active path deliver on your phone without blowing latency...
arXiv:2510.04363v2 Announce Type: replace-cross Abstract: We introduce MacroBench, a code-first benchmark that evaluates whether LLMs can synthesize reusable browser-automation programs...
arXiv:2509.14257v2 Announce Type: replace Abstract: Large Language Model agents excel at solving complex tasks through iterative reasoning and tool use,...
arXiv:2507.16746v2 Announce Type: replace-cross Abstract: Humans often use visual aids, for example diagrams or sketches, when solving complex problems. Training...
ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks
Chronicals: A High-Performance Framework for LLM Fine-Tuning with 3.51x Speedup over Unsloth
Chroma Releases Context-1: A 20B Agentic Search Model for Multi-Hop Retrieval, Context Management, and Scalable Synthetic Task Generation
Choosing the Right AI Agent Memory Strategy: A Decision-Tree Approach
Choosing Between PCA and t-SNE for Visualization
Chinese tech workers are starting to train their AI doubles–and pushing back
Chinese Morph Resolution in E-commerce Live Streaming Scenarios
China’s AI models have Trump’s AI world at war with itself
China has approved the world’s first invasive brain-computer chip—here’s what’s next
