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    <title>Gloqo AI Field Notes</title>
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    <description>Field notes from forward-deployed generative AI engineering: agentic systems, context engineering, harness engineering, evaluation, and production deployment.</description>
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    <lastBuildDate>Mon, 27 Jul 2026 00:00:00 GMT</lastBuildDate>
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      <title>Loop Engineering, Graph Engineering, and the Hill-Climb</title>
      <link>https://www.gloqo.ai/field-notes/loop_and_graph_engineering_for_agent_optimization/</link>
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      <pubDate>Mon, 27 Jul 2026 00:00:00 GMT</pubDate>
      <category>Agentic AI</category>
      <description>The industry conversation is shifting from prompting agents to designing the loops and graphs that evaluate, retry, and improve them, including the outer hill-climb from production traces.</description>
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      <title>The Agent Harness Is the Product</title>
      <link>https://www.gloqo.ai/field-notes/agent_harness_is_the_product/</link>
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      <pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate>
      <category>Agentic AI</category>
      <description>Why the next frontier in production AI agents is the runtime around the model: tools, sandboxes, memory, traces, and control.</description>
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      <title>When Agents Fail, Debug the Trajectory</title>
      <link>https://www.gloqo.ai/field-notes/debugging_agent_trajectories/</link>
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      <pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate>
      <category>Evaluation</category>
      <description>Agent reliability improves when teams inspect the execution trace, locate the first critical failure, and fix the system around it.</description>
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      <title>Memory Is Becoming First-Class Agent Infrastructure</title>
      <link>https://www.gloqo.ai/field-notes/memory_as_agent_infrastructure/</link>
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      <pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate>
      <category>Agentic AI</category>
      <description>Agent memory is moving beyond chat history into structured state, experiential traces, working context, filesystems, and trustworthy retrieval.</description>
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    <item>
      <title>Prompt Injection Is Becoming Social Engineering</title>
      <link>https://www.gloqo.ai/field-notes/prompt_injection_as_social_engineering/</link>
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      <pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate>
      <category>Security</category>
      <description>As agents browse, retrieve, and act, prompt injection increasingly looks like social engineering against a bounded digital worker.</description>
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    <item>
      <title>System 1 vs System 2 in Modern AI: From AlphaGo to Large Language Models</title>
      <link>https://www.gloqo.ai/field-notes/combining_system_1_and_system_2_thinking/</link>
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      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <category>AI Scaling</category>
      <description>How fast pattern matching and slower deliberative reasoning show up in modern AI systems, from AlphaGo to reasoning-oriented language models.</description>
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    <item>
      <title>Rethinking AI Efficiency: The Shift from Scaling Pretraining to Test-Time Compute</title>
      <link>https://www.gloqo.ai/field-notes/pretraining_compute_to_testtime_compute/</link>
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      <pubDate>Sun, 15 Dec 2024 00:00:00 GMT</pubDate>
      <category>AI Scaling</category>
      <description>Why more capable systems increasingly depend on inference-time search, routing, and verification rather than pretraining scale alone.</description>
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    <item>
      <title>Marco-o1 and Large Reasoning Models for Open-Ended Tasks</title>
      <link>https://www.gloqo.ai/field-notes/large_reasoning_models/</link>
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      <pubDate>Mon, 25 Nov 2024 00:00:00 GMT</pubDate>
      <category>AI Architecture</category>
      <description>A look at reasoning strategies that improve model accuracy when tasks require more than immediate pattern completion.</description>
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      <title>Agentic RAG: Retrieval That Plans and Adapts</title>
      <link>https://www.gloqo.ai/field-notes/agentic_rag/</link>
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      <pubDate>Wed, 06 Nov 2024 00:00:00 GMT</pubDate>
      <category>Information Retrieval</category>
      <description>How retrieval systems change when agents can plan, inspect, execute, and adapt around enterprise knowledge.</description>
    </item>
    <item>
      <title>Understanding and Tackling Hallucinations in LLMs</title>
      <link>https://www.gloqo.ai/field-notes/understanding_and_tackling_hallucinations_in_llms/</link>
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      <pubDate>Fri, 01 Nov 2024 00:00:00 GMT</pubDate>
      <category>AI Safety</category>
      <description>The causes, impact, and mitigation patterns behind AI-generated fabrications in production language systems.</description>
    </item>
    <item>
      <title>Scaling Inference Compute for Long Context RAG Systems</title>
      <link>https://www.gloqo.ai/field-notes/scaling_inference_compute_for_long_context_rag/</link>
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      <pubDate>Wed, 30 Oct 2024 00:00:00 GMT</pubDate>
      <category>AI Scaling</category>
      <description>Optimization techniques, hardware considerations, and architecture patterns for retrieval systems with long context windows.</description>
    </item>
    <item>
      <title>Softmax Dispersion: A Challenge for Robust Reasoning</title>
      <link>https://www.gloqo.ai/field-notes/softmax_limitation_in_out_of_distribution_data/</link>
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      <pubDate>Mon, 28 Oct 2024 00:00:00 GMT</pubDate>
      <category>Deep Learning</category>
      <description>Why softmax probabilities can be fragile for detecting out-of-distribution samples and unexpected reasoning failures.</description>
    </item>
    <item>
      <title>Multimodal Language Models Across Text and Images</title>
      <link>https://www.gloqo.ai/field-notes/large_multimodal_language_models_mmlm/</link>
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      <pubDate>Thu, 24 Oct 2024 00:00:00 GMT</pubDate>
      <category>Multimodal AI</category>
      <description>How multimodal language models combine text, images, and other signals into richer system behavior.</description>
    </item>
    <item>
      <title>Jailbreaking LLMs with Deceptive Delight: Exploring AI Vulnerabilities</title>
      <link>https://www.gloqo.ai/field-notes/jailbreaking_llms_with_deceptive_delight/</link>
      <guid isPermaLink="true">https://www.gloqo.ai/field-notes/jailbreaking_llms_with_deceptive_delight/</guid>
      <pubDate>Wed, 23 Oct 2024 00:00:00 GMT</pubDate>
      <category>AI Security</category>
      <description>A practical look at prompt-based model vulnerabilities and what they imply for evaluation and governance.</description>
    </item>
    <item>
      <title>Mixture of Experts vs Dense LLMs: Routing and Scale</title>
      <link>https://www.gloqo.ai/field-notes/mixture_of_experts_moe_vs_dense_llms/</link>
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      <pubDate>Tue, 22 Oct 2024 00:00:00 GMT</pubDate>
      <category>AI Architecture</category>
      <description>The trade-offs between sparse expert routing and dense model architectures in large-scale language systems.</description>
    </item>
    <item>
      <title>Leveraging LLMs for Scalable AI System Evaluation</title>
      <link>https://www.gloqo.ai/field-notes/leveraging_llms_for_scalable_system_evaluation/</link>
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      <pubDate>Mon, 21 Oct 2024 00:00:00 GMT</pubDate>
      <category>AI Evaluation</category>
      <description>How language models can be used to evaluate complex systems at scale while still preserving review discipline.</description>
    </item>
    <item>
      <title>Democratizing Finetuning of LLMs on Your Data with PEFT</title>
      <link>https://www.gloqo.ai/field-notes/democratizing_finetuning_of_llms/</link>
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      <pubDate>Sun, 20 Oct 2024 00:00:00 GMT</pubDate>
      <category>AI Accessibility</category>
      <description>Methods that reduce the cost and infrastructure requirements of adapting models to specific domains.</description>
    </item>
    <item>
      <title>The Power of Quantization in AI: Efficiency Meets Performance</title>
      <link>https://www.gloqo.ai/field-notes/power_of_quantization/</link>
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      <pubDate>Sat, 19 Oct 2024 00:00:00 GMT</pubDate>
      <category>AI Optimization</category>
      <description>How lower-precision representations reduce model size and improve inference speed without giving up too much quality.</description>
    </item>
    <item>
      <title>Detecting LLM Hallucinations with Semantic Entropy</title>
      <link>https://www.gloqo.ai/field-notes/detecting_llm_hallucinations_with_semantic_entropy/</link>
      <guid isPermaLink="true">https://www.gloqo.ai/field-notes/detecting_llm_hallucinations_with_semantic_entropy/</guid>
      <pubDate>Fri, 18 Oct 2024 00:00:00 GMT</pubDate>
      <category>AI Safety</category>
      <description>A method for identifying unstable model answers by measuring meaning-level variation across generations.</description>
    </item>
    <item>
      <title>The Power of Parallel Processing with GPUs in AI</title>
      <link>https://www.gloqo.ai/field-notes/power_of_parallel_processing_with_gpus/</link>
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      <pubDate>Thu, 17 Oct 2024 00:00:00 GMT</pubDate>
      <category>AI Hardware</category>
      <description>Why parallel computation matters for modern model training, inference, and real-time AI workloads.</description>
    </item>
    <item>
      <title>What is Generative AI?</title>
      <link>https://www.gloqo.ai/field-notes/what_is_generative_ai/</link>
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      <pubDate>Wed, 16 Oct 2024 00:00:00 GMT</pubDate>
      <category>Generative AI</category>
      <description>The foundations of generative AI and the applications reshaping software, media, and knowledge work.</description>
    </item>
    <item>
      <title>Retrieval Augmented Generation for Grounded Answers</title>
      <link>https://www.gloqo.ai/field-notes/retrieval_augmented_generation/</link>
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      <pubDate>Tue, 15 Oct 2024 00:00:00 GMT</pubDate>
      <category>Information Retrieval</category>
      <description>How retrieval-augmented generation improves model grounding and decision support across knowledge-heavy workflows.</description>
    </item>
    <item>
      <title>Pretraining AI Models Across Thousands of GPUs</title>
      <link>https://www.gloqo.ai/field-notes/large_scale_gpu_pretraining/</link>
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      <pubDate>Mon, 14 Oct 2024 00:00:00 GMT</pubDate>
      <category>AI Scaling</category>
      <description>The distributed systems concerns behind large-scale model training across vast GPU clusters.</description>
    </item>
    <item>
      <title>Compound AI Systems: More Than Just a Big Brain</title>
      <link>https://www.gloqo.ai/field-notes/compound_ai/</link>
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      <pubDate>Sun, 13 Oct 2024 00:00:00 GMT</pubDate>
      <category>Generative AI</category>
      <description>Why real-world AI systems combine models with tools, retrieval, execution environments, and feedback loops.</description>
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