The synergy between Early Experience and Agentic Context Engineering (ACE) creates a powerful, two-loop architecture for autonomous AI self-improvement. The …
Reasoning crystallizes in the textual embedding space during autoregressive pre-training, abstracting hierarchical structures (e.g., syntactic dependencies in code) that align …
This video posits that puzzling RLVR training phenomena (including two-stage learning, V-shaped response lengths, and catastrophic forgetting) are not disparate …
CERN present Federation of Agents (FoA), a distributed orchestration framework that transforms static multi-agent coordination into dynamic, capability-driven collaboration. Built …
The rapid proliferation of recent Multi-Agent Systems (MAS), where Large Language Models (LLMs) and Large Reasoning Models (LRMs) usually collaborate …
EIGEN-1 is a highly efficient agentic framework that replaces explicit tool calls with an implicit, on-stream Monitor-Querier-Injector pipeline for tax-free …
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