Proposes the Intelligent Computing Architecture (ICA) as a six-layer framework with dual probabilistic-deterministic planes and three Amdahl-style heuristics to unify design of LLM-based systems.
Llm as os (llmao), agents as apps: Envisioning aios, agents and the aios-agent ecosystem
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ASB is a new benchmark that tests 10 prompt injection attacks, memory poisoning, a novel Plan-of-Thought backdoor attack, and 11 defenses on LLM agents across 13 models, finding attack success rates up to 84.3% and limited defense effectiveness.
OPT-BENCH and OPT-Agent evaluate LLM self-optimization in large search spaces, showing stronger models improve via feedback but stay constrained by base capacity and below human performance.
Deterministic multi-agent intent routing can reduce hallucinations in generative engines to near zero by limiting LLMs to intent routers and handing off tasks to specialized agents.
A systematic review of memory designs, evaluation methods, applications, limitations, and future directions for LLM-based agents.
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