# Gloqo AI

> Field notes from forward-deployed generative AI engineering: agentic systems, context engineering, harness engineering, evaluation, and production deployment.

Gloqo AI publishes operating notes and interactive visual labs on building, operationalising, and scaling agentic AI systems under real load. Linked Field Notes, Visual Labs, and priority advisories are markdown copies. The URL inside each copy is the canonical HTML page.

## Start here

- [The Agent Harness Is the Product](https://www.gloqo.ai/field-notes/agent_harness_is_the_product.md): 2026-04-30. Why the next frontier in production AI agents is the runtime around the model: tools, sandboxes, memory, traces, and control.
- [Loop Engineering, Graph Engineering, and the Hill-Climb](https://www.gloqo.ai/field-notes/loop_and_graph_engineering_for_agent_optimization.md): 2026-07-27. 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.
- [When Agents Fail, Debug the Trajectory](https://www.gloqo.ai/field-notes/debugging_agent_trajectories.md): 2026-04-30. Agent reliability improves when teams inspect the execution trace, locate the first critical failure, and fix the system around it.
- [Memory Is Becoming First-Class Agent Infrastructure](https://www.gloqo.ai/field-notes/memory_as_agent_infrastructure.md): 2026-04-30. Agent memory is moving beyond chat history into structured state, experiential traces, working context, filesystems, and trustworthy retrieval.
- [Prompt Injection Is Becoming Social Engineering](https://www.gloqo.ai/field-notes/prompt_injection_as_social_engineering.md): 2026-04-30. As agents browse, retrieve, and act, prompt injection increasingly looks like social engineering against a bounded digital worker.
- [System 1 vs System 2 in Modern AI: From AlphaGo to Large Language Models](https://www.gloqo.ai/field-notes/combining_system_1_and_system_2_thinking.md): 2025-01-01. How fast pattern matching and slower deliberative reasoning show up in modern AI systems, from AlphaGo to reasoning-oriented language models.
- [Rethinking AI Efficiency: The Shift from Scaling Pretraining to Test-Time Compute](https://www.gloqo.ai/field-notes/pretraining_compute_to_testtime_compute.md): 2024-12-15. Why more capable systems increasingly depend on inference-time search, routing, and verification rather than pretraining scale alone.
- [Agentic RAG: Retrieval That Plans and Adapts](https://www.gloqo.ai/field-notes/agentic_rag.md): 2024-11-06. How retrieval systems change when agents can plan, inspect, execute, and adapt around enterprise knowledge.

## Field Notes

- [Field Notes index](https://www.gloqo.ai/field-notes/): Library of technical notes on agentic systems, retrieval, evaluation, and deployment.

### AI Accessibility

- [Democratizing Finetuning of LLMs on Your Data with PEFT](https://www.gloqo.ai/field-notes/democratizing_finetuning_of_llms.md): 2024-10-20. Methods that reduce the cost and infrastructure requirements of adapting models to specific domains.

### AI Architecture

- [Marco-o1 and Large Reasoning Models for Open-Ended Tasks](https://www.gloqo.ai/field-notes/large_reasoning_models.md): 2024-11-25. A look at reasoning strategies that improve model accuracy when tasks require more than immediate pattern completion.
- [Mixture of Experts vs Dense LLMs: Routing and Scale](https://www.gloqo.ai/field-notes/mixture_of_experts_moe_vs_dense_llms.md): 2024-10-22. The trade-offs between sparse expert routing and dense model architectures in large-scale language systems.

### AI Evaluation

- [Leveraging LLMs for Scalable AI System Evaluation](https://www.gloqo.ai/field-notes/leveraging_llms_for_scalable_system_evaluation.md): 2024-10-21. How language models can be used to evaluate complex systems at scale while still preserving review discipline.

### AI Hardware

- [The Power of Parallel Processing with GPUs in AI](https://www.gloqo.ai/field-notes/power_of_parallel_processing_with_gpus.md): 2024-10-17. Why parallel computation matters for modern model training, inference, and real-time AI workloads.

### AI Optimization

- [The Power of Quantization in AI: Efficiency Meets Performance](https://www.gloqo.ai/field-notes/power_of_quantization.md): 2024-10-19. How lower-precision representations reduce model size and improve inference speed without giving up too much quality.

### AI Safety

- [Understanding and Tackling Hallucinations in LLMs](https://www.gloqo.ai/field-notes/understanding_and_tackling_hallucinations_in_llms.md): 2024-11-01. The causes, impact, and mitigation patterns behind AI-generated fabrications in production language systems.
- [Detecting LLM Hallucinations with Semantic Entropy](https://www.gloqo.ai/field-notes/detecting_llm_hallucinations_with_semantic_entropy.md): 2024-10-18. A method for identifying unstable model answers by measuring meaning-level variation across generations.

### AI Scaling

- [Scaling Inference Compute for Long Context RAG Systems](https://www.gloqo.ai/field-notes/scaling_inference_compute_for_long_context_rag.md): 2024-10-30. Optimization techniques, hardware considerations, and architecture patterns for retrieval systems with long context windows.
- [Pretraining AI Models Across Thousands of GPUs](https://www.gloqo.ai/field-notes/large_scale_gpu_pretraining.md): 2024-10-14. The distributed systems concerns behind large-scale model training across vast GPU clusters.

### AI Security

- [Jailbreaking LLMs with Deceptive Delight: Exploring AI Vulnerabilities](https://www.gloqo.ai/field-notes/jailbreaking_llms_with_deceptive_delight.md): 2024-10-23. A practical look at prompt-based model vulnerabilities and what they imply for evaluation and governance.

### Deep Learning

- [Softmax Dispersion: A Challenge for Robust Reasoning](https://www.gloqo.ai/field-notes/softmax_limitation_in_out_of_distribution_data.md): 2024-10-28. Why softmax probabilities can be fragile for detecting out-of-distribution samples and unexpected reasoning failures.

### Generative AI

- [What is Generative AI?](https://www.gloqo.ai/field-notes/what_is_generative_ai.md): 2024-10-16. The foundations of generative AI and the applications reshaping software, media, and knowledge work.
- [Compound AI Systems: More Than Just a Big Brain](https://www.gloqo.ai/field-notes/compound_ai.md): 2024-10-13. Why real-world AI systems combine models with tools, retrieval, execution environments, and feedback loops.

### Information Retrieval

- [Retrieval Augmented Generation for Grounded Answers](https://www.gloqo.ai/field-notes/retrieval_augmented_generation.md): 2024-10-15. How retrieval-augmented generation improves model grounding and decision support across knowledge-heavy workflows.

### Multimodal AI

- [Multimodal Language Models Across Text and Images](https://www.gloqo.ai/field-notes/large_multimodal_language_models_mmlm.md): 2024-10-24. How multimodal language models combine text, images, and other signals into richer system behavior.

### Security

- [Open Models Are Closing the Cyber Gate](https://www.gloqo.ai/field-notes/open_models_closing_the_cyber_gate.md): 2026-10-24. Gated cyber models were supposed to stay ahead of open weights. On current benchmarks the gap is a few points, and 2026 has already published more CVEs than all of 2025.

## Visual Labs

- [Visual Labs index](https://www.gloqo.ai/visuals/): Interactive explainers for model mechanics, optimization, attention, loss, and reliability.

- [Softmax](https://www.gloqo.ai/visuals/softmax.md): Explore how logits become a probability distribution.
- [Gradient Descent](https://www.gloqo.ai/visuals/gradient_descent.md): Visualize how optimization moves across an objective surface.
- [Tokenization Embedding](https://www.gloqo.ai/visuals/tokenization_embedding.md): Inspect how text is broken into tokens and embedded for models.
- [Attention](https://www.gloqo.ai/visuals/attention.md): See how transformer attention links tokens through query-key-value structure.
- [Out of Distribution](https://www.gloqo.ai/visuals/out_of_distribution.md): Explore model behavior outside the shape of training data.
- [Monte Carlo Tree Search](https://www.gloqo.ai/visuals/mcts.md): Step through how search trees are expanded, simulated, and scored.
- [Cross Entropy Loss](https://www.gloqo.ai/visuals/cross_entropy_loss.md): Compare loss behavior as predicted probabilities change.

## Specialisations

- [Specialisations](https://www.gloqo.ai/specialisation/): Acquire customers, run service and payments, ship product changes, and test security on every handoff. Open a card to see what is already in the product and what we configure. Ads to customer value; Service and payment cases; Requirements to reviewed code; Attack paths and retest

## Security updates

Through 2026-10-23, 2026 has 86,329 published CVE records in this snapshot, against 48,151 in 2025. Rejected records are excluded.

- [Published CVE snapshot](https://www.gloqo.ai/security-updates/cve-trends.json): Annual published-record counts, cutoff, and source release for the sentence above.
- [Latest critical CVEs](https://www.gloqo.ai/security-updates/cve-critical.md): 500 included records from 3,868 qualifying critical records.
- [Security updates reference](https://www.gloqo.ai/security-updates/): HTML archive of dated, source-linked vendor advisories. Each priority advisory below has a markdown copy.

- [Postiz 2.25.3 closes critical file-read and token-forgery flaws](https://www.gloqo.ai/security-updates/advisories/postiz-2026-10-24.md): 2026-10-24. Postiz. Registered users can exploit unrestricted provider methods to read backend files and crash the service (CVE-2026-115931), traverse post-media paths to read worker files
- [LiteLLM analysis: startup-hook theft requires clean recovery](https://www.gloqo.ai/security-updates/advisories/litellm-2026-10-23-analysis.md): 2026-10-23. LiteLLM. Microsoft's new analysis of the October 21 compromise confirms that Python startup hooks can run credential theft without importing LiteLLM. Removing the package directory alone
- [Brotli decoder flaw reaches Python, Envoy, Bun and Istio](https://www.gloqo.ai/security-updates/advisories/brotli-2026-10-23.md): 2026-10-23. Brotli. Google's CVE record describes an out-of-bounds write in the Brotli decoder. A remote unauthenticated attacker can use a crafted compressed stream to corrupt adjacent decoder
- [CISA adds exploited Arista VCO SQL injection to KEV](https://www.gloqo.ai/security-updates/advisories/arista-vco-2026-10-23-kev.md): 2026-10-23. Arista VCO. SQL injection can give an authenticated VCO portal user superuser-operator functionality. A valid portal session is required, including an Enterprise Read Only account.
- [CISA adds exploited Nextcloud built-in CODE flaw to KEV](https://www.gloqo.ai/security-updates/advisories/collabora-nextcloud-2026-10-23-kev.md): 2026-10-23. Collabora / Nextcloud. Unauthenticated attackers can execute operating-system commands as the web-server user while the built-in CODE server is stopped, including during a restart or crash.
- [PHP warns of configuration-specific session-serialization RCE](https://www.gloqo.ai/security-updates/advisories/php-2026-10-23-session-serialization.md): 2026-10-23. PHP. PHP warns of remote code execution when an application changes session serialization from php_binary or php_serialize to php using ini_set() before session_start(), with upload
- [Ruby releases complete regex-compiler fixes for GitLab CVEs](https://www.gloqo.ai/security-updates/advisories/ruby-2026-10-23-regexp.md): 2026-10-23. Ruby. Ruby fixes regular-expression compilation memory corruption that can lead to code execution when applications compile attacker-controlled patterns.
- [PHP fixes critical remote code execution vulnerabilities](https://www.gloqo.ai/security-updates/advisories/php-2026-10-21.md): 2026-10-21. PHP. PHP reports two vulnerabilities that can permit unauthenticated remote code execution. They involve out-of-memory corruption and stale request state. The confirmed impact in the
- [Oracle Java / GraalVM: compromised certificate trust](https://www.gloqo.ai/security-updates/advisories/oracle-java-2026-10-21.md): 2026-10-21. Oracle Java / GraalVM. Oracle issued an out-of-band update to distrust compromised eMudhra intermediate certificates. An affected runtime can accept forged certificates, exposing connections to data
- [GitLab patches a critical regular-expression compiler issue](https://www.gloqo.ai/security-updates/advisories/gitlab-2026-10-21.md): 2026-10-21. GitLab. GitLab says CVE-2026-110264 could permit unauthenticated code execution under certain conditions through integer overflow during regular-expression compilation. Other fixes have
- [Node.js security releases cover runtime and dependency issues](https://www.gloqo.ai/security-updates/advisories/nodejs-2026-10-21.md): 2026-10-21. Node.js (JavaScript). The bulletin lists ten CVEs, including Brotli decoder remote code execution, certificate-hostname validation bypasses, DNS input handling, HTTP response handling, entropy-cache
- [Mozilla reports compromised eMudhra intermediate-certificate keys](https://www.gloqo.ai/security-updates/advisories/emudhra-2026-10-20.md): 2026-10-20. eMudhra / certificate trust. Mozilla says it received a report on October 17 that private keys associated with eight eMudhra intermediate certificates were compromised. It says these keys could enable
- [Go updates certificate verification for affected intermediates](https://www.gloqo.ai/security-updates/advisories/go-2026-10-19.md): 2026-10-19. Go. Go 1.27.3 and 1.26.10 add a crypto/x509 mitigation that excludes certificate chains containing the affected intermediate certificates.
- [NGINX fixes configuration-dependent security issues](https://www.gloqo.ai/security-updates/advisories/nginx-2026-10-14.md): 2026-10-14. NGINX. Five fixes cover alias/rewrite and script-evaluation buffer overflows, HTTP/3 request-body injection, session forgery during TLS session-ticket key rotation, and an AIO/SSI

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