<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>LLM Systems on Cognaptus</title>
    <link>https://cognaptus.com/tags/llm-systems/</link>
    <description>Recent content in LLM Systems on Cognaptus</description>
    <generator>Hugo -- 0.145.0</generator>
    <language>en-us</language>
    <lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://cognaptus.com/tags/llm-systems/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Not Every Layer Deserves the Same Cache</title>
      <link>https://cognaptus.com/blog/2026-09-01-not-every-layer-deserves-the-same-cache/</link>
      <pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-09-01-not-every-layer-deserves-the-same-cache/</guid>
      <description>RippleKV shows that long-context quality can improve when a fixed KV-cache budget is allocated according to model-specific layer sensitivity rather than divided uniformly or by depth.</description>
    </item>
    <item>
      <title>No Cluster Is an Island: ScaleAcross Explorer and the Geography Tax of AI Training</title>
      <link>https://cognaptus.com/blog/2026-06-05-no-cluster-is-an-island-scaleacross-explorer-and-the-geography-tax-of-ai-training/</link>
      <pubDate>Fri, 05 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-06-05-no-cluster-is-an-island-scaleacross-explorer-and-the-geography-tax-of-ai-training/</guid>
      <description>How scale-across AI training turns model architecture, parallelism placement, scheduling, and long-distance networking into one business-critical optimization problem.</description>
    </item>
    <item>
      <title>RelayS2S: When AI Stops Waiting Its Turn</title>
      <link>https://cognaptus.com/blog/2026-03-25-relays2s-when-ai-stops-waiting-its-turn/</link>
      <pubDate>Wed, 25 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-25-relays2s-when-ai-stops-waiting-its-turn/</guid>
      <description>RelayS2S shows how real-time voice agents can start speaking quickly without giving up the stronger reasoning of cascaded ASR-LLM systems.</description>
    </item>
    <item>
      <title>From Prompts to Policies: How Digital Twins Are Quietly Rewiring Enterprise AI Agents</title>
      <link>https://cognaptus.com/blog/2026-03-24-from-prompts-to-policies-how-digital-twins-are-quietly-rewiring-enterprise-ai-agents/</link>
      <pubDate>Tue, 24 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-24-from-prompts-to-policies-how-digital-twins-are-quietly-rewiring-enterprise-ai-agents/</guid>
      <description>A mechanism-first reading of DT-MDP-CE, a framework that turns messy enterprise agent traces into offline-learned policies for more controllable context engineering.</description>
    </item>
    <item>
      <title>Act While Thinking: When AI Agents Learn to Multitask (Finally)</title>
      <link>https://cognaptus.com/blog/2026-03-22-act-while-thinking-when-ai-agents-learn-to-multitask-finally/</link>
      <pubDate>Sun, 22 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-22-act-while-thinking-when-ai-agents-learn-to-multitask-finally/</guid>
      <description>A mechanism-first reading of PASTE, a speculative tool-execution system that reduces agent latency by predicting not only which tool comes next, but also how its arguments can be derived safely.</description>
    </item>
    <item>
      <title>Reflection in the Dark: When Prompt Optimization Forgets to Think</title>
      <link>https://cognaptus.com/blog/2026-03-21-reflection-in-the-dark-when-prompt-optimization-forgets-to-think/</link>
      <pubDate>Sat, 21 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-21-reflection-in-the-dark-when-prompt-optimization-forgets-to-think/</guid>
      <description>A mechanism-first reading of VISTA, a multi-agent prompt optimization framework that turns reflective prompting from blind rewriting into auditable diagnosis.</description>
    </item>
    <item>
      <title>Agents With Memory: Turning Execution Logs into Institutional Knowledge</title>
      <link>https://cognaptus.com/blog/2026-03-13-agents-with-memory-turning-execution-logs-into-institutional-knowledge/</link>
      <pubDate>Fri, 13 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-13-agents-with-memory-turning-execution-logs-into-institutional-knowledge/</guid>
      <description>A mechanism-first reading of trajectory-informed agent memory, showing how execution logs can become structured operational guidance rather than decorative vector-store clutter.</description>
    </item>
    <item>
      <title>When Less Proves More: The Case for Minimalist AI Theorem Provers</title>
      <link>https://cognaptus.com/blog/2026-03-02-when-less-proves-more-the-case-for-minimalist-ai-theorem-provers/</link>
      <pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-02-when-less-proves-more-the-case-for-minimalist-ai-theorem-provers/</guid>
      <description>A mechanism-first reading of AxProverBase, showing why feedback, memory, and lightweight search may matter more than architectural ornament in verifiable AI workflows.</description>
    </item>
    <item>
      <title>Template Thinking: Why Your Next AI Agent Should Steal from Cognitive Science</title>
      <link>https://cognaptus.com/blog/2026-02-28-template-thinking-why-your-next-ai-agent-should-steal-from-cognitive-science/</link>
      <pubDate>Sat, 28 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-28-template-thinking-why-your-next-ai-agent-should-steal-from-cognitive-science/</guid>
      <description>A practical reading of how cognitive models and classic AI algorithms can serve as reusable templates for designing interpretable, task-fit language agents.</description>
    </item>
    <item>
      <title>FadeMem: When AI Learns to Forget on Purpose</title>
      <link>https://cognaptus.com/blog/2026-02-01-fademem-when-ai-learns-to-forget-on-purpose/</link>
      <pubDate>Sun, 01 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-01-fademem-when-ai-learns-to-forget-on-purpose/</guid>
      <description>FadeMem shows why scalable AI agent memory may depend less on storing everything and more on governing what should fade, merge, or survive.</description>
    </item>
    <item>
      <title>Many Minds, One Solution: Why Multi‑Agent AI Finds What Single Models Miss</title>
      <link>https://cognaptus.com/blog/2026-01-22-many-minds-one-solution-why-multiagent-ai-finds-what-single-models-miss/</link>
      <pubDate>Thu, 22 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-22-many-minds-one-solution-why-multiagent-ai-finds-what-single-models-miss/</guid>
      <description>A mechanism-first reading of why multi-agent LLM systems can improve results without adding information: they factor constraints across agents and stabilize solutions that single update dynamics may not reach.</description>
    </item>
    <item>
      <title>When Retrieval Learns to Breathe: Teaching LLMs to Go Wide *and* Deep</title>
      <link>https://cognaptus.com/blog/2026-01-21-when-retrieval-learns-to-breathe-teaching-llms-to-go-wide-and-deep/</link>
      <pubDate>Wed, 21 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-21-when-retrieval-learns-to-breathe-teaching-llms-to-go-wide-and-deep/</guid>
      <description>A mechanism-first reading of ARK, a training-free knowledge-graph retriever that lets LLMs control when to search broadly, when to traverse locally, and when to stop.</description>
    </item>
    <item>
      <title>One Agent Is a Bottleneck: When Genomics QA Finally Went Multi-Agent</title>
      <link>https://cognaptus.com/blog/2026-01-16-one-agent-is-a-bottleneck-when-genomics-qa-finally-went-multiagent/</link>
      <pubDate>Fri, 16 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-16-one-agent-is-a-bottleneck-when-genomics-qa-finally-went-multiagent/</guid>
      <description>A mechanism-first reading of GenomAgent: why specialized multi-agent orchestration improved genomics QA accuracy while cutting tool-use cost.</description>
    </item>
    <item>
      <title>Speculate Smarter, Not Harder: Hierarchical Decoding Without Regret</title>
      <link>https://cognaptus.com/blog/2026-01-12-speculate-smarter-not-harder-hierarchical-decoding-without-regret/</link>
      <pubDate>Mon, 12 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-12-speculate-smarter-not-harder-hierarchical-decoding-without-regret/</guid>
      <description>A mechanism-first reading of Hierarchical Speculative Decoding, a lossless verifier that improves LLM inference speed by accepting more draft tokens without changing the target distribution.</description>
    </item>
    <item>
      <title>Vibe Coding a Theorem Prover: When LLMs Prove (and Break) Themselves</title>
      <link>https://cognaptus.com/blog/2026-01-11-vibe-coding-a-theorem-prover-when-llms-prove-and-break-themselves/</link>
      <pubDate>Sun, 11 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-11-vibe-coding-a-theorem-prover-when-llms-prove-and-break-themselves/</guid>
      <description>Why Isabellm’s real lesson is not autonomous AI reasoning, but verifier-gated system design for domains where being plausibly right is still wrong.</description>
    </item>
    <item>
      <title>Infinite Tasks, Finite Minds: Why Agents Keep Forgetting—and How InfiAgent Cheats Time</title>
      <link>https://cognaptus.com/blog/2026-01-07-infinite-tasks-finite-minds-why-agents-keep-forgettingand-how-infiagent-cheats-time/</link>
      <pubDate>Wed, 07 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-07-infinite-tasks-finite-minds-why-agents-keep-forgettingand-how-infiagent-cheats-time/</guid>
      <description>A business-focused reading of InfiAgent, showing why persistent file-based state may matter more than ever-larger context windows for long-horizon AI agents.</description>
    </item>
    <item>
      <title>When Bandits Get Priority: Learning Under Scarce, Tiered Capacity</title>
      <link>https://cognaptus.com/blog/2025-12-29-when-bandits-get-priority-learning-under-scarce-tiered-capacity/</link>
      <pubDate>Mon, 29 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-29-when-bandits-get-priority-learning-under-scarce-tiered-capacity/</guid>
      <description>A mechanism-first reading of MSB-PRS, a bandit framework for allocating stochastic capacity when high-priority tasks must be served first.</description>
    </item>
    <item>
      <title>Cheap Thrills, Hard Guarantees: BARGAINing with LLM Cascades</title>
      <link>https://cognaptus.com/blog/2025-09-06-cheap-thrills-hard-guarantees-bargaining-with-llm-cascades/</link>
      <pubDate>Sat, 06 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-06-cheap-thrills-hard-guarantees-bargaining-with-llm-cascades/</guid>
      <description>BARGAIN shows how LLM cascades can reduce expensive model calls while preserving finite-sample guarantees on accuracy, precision, or recall.</description>
    </item>
    <item>
      <title>Beyond Search: RAG’s Awakening to Enterprise Spreadsheets</title>
      <link>https://cognaptus.com/blog/2025-07-17-beyond-search-rags-awakening-to-enterprise-spreadsheets/</link>
      <pubDate>Thu, 17 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-17-beyond-search-rags-awakening-to-enterprise-spreadsheets/</guid>
      <description>A mechanism-first look at why enterprise RAG needs row-aware tables, hybrid retrieval, reranking, and feedback loops before it can safely answer internal business questions.</description>
    </item>
    <item>
      <title>Chunks, Units, Entities: RAG Rewired by CUE-RAG</title>
      <link>https://cognaptus.com/blog/2025-07-14-chunks-units-entities-rag-rewired-by-cuerag/</link>
      <pubDate>Mon, 14 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-14-chunks-units-entities-rag-rewired-by-cuerag/</guid>
      <description>Clue-RAG shows that better enterprise retrieval may come less from bigger knowledge graphs and more from using the right semantic layer at the right moment.</description>
    </item>
    <item>
      <title>When Streams Cross Wires: Can New AI Models Plug into Old Data Flows?</title>
      <link>https://cognaptus.com/blog/2025-04-14-when-streams-cross-wires-can-new-ai-models-plug-into-old-data-flows/</link>
      <pubDate>Mon, 14 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-04-14-when-streams-cross-wires-can-new-ai-models-plug-into-old-data-flows/</guid>
      <description>A mechanism-first reading of enterprise compound AI architecture, showing why streams, registries, planners, and coordinators matter more than another chatbot wrapper.</description>
    </item>
  </channel>
</rss>
