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Nathan Lambert, elvis, and Azeem Azhar posted new notes

Thursday, 7 August 2025

 
Substack

Nathan Lambert, elvis, and Azeem Azhar posted new notes

Bill Bishop restacked
America needs to take open models more seriously. This summer the early lead in open model adoption of the US…
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elvis liked
Retrieval-augmented Graph Agentic Network (ReaGAN) Another clever way to combine agentic capabilities and retrieval. Graph learning frameworks always make a comeback. This time, the nodes are agents that can plan, act, and reason. Great read for AI devs! Here are my notes: ● Overview This paper introduces ReaGAN, a graph learning framework that reconceptualizes each node in a graph as an autonomous agent capable of planning, reasoning, and acting via a frozen LLM. ● What's new? Instead of relying on static, layer-wise message passing, ReaGAN enables node-level autonomy, where each node independently decides whether to aggregate information from local neighbors, retrieve semantically similar but distant nodes, or take no action at all. ● Benefits This node-agent abstraction addresses two key challenges in graph learning: (1) handling varying informativeness of nodes and (2) combining local structure with global semantics. ● Core Modules Each node operates in a multi-step loop with four core modules: Memory, Planning, Action, and Tool Use (RAG). The node constructs a natural…
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Austin Lyons liked
OpenAI and Anthropic’s business models are diverging. OpenAI dominates in consumer and enterprise, while…
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