LLM News and Articles
| Tuesday, 2026-02-10 | ||||
| 05:39 | The Ultimate AI Model Battle Royale 2026: Your Complete Playbook https://medium.com/@hiralchampavat1997/the-ultimate-ai-model-battle-royale-2026-your-complete-playbook-3e9cba4e78c7 | |||
| 05:35 | Beyond Fixed Chunks: How Semantic Chunking and Metadata Enrichment Transform RAG Accuracy https://medium.com/@shaikmohdhuz/beyond-fixed-chunks-how-semantic-chunking-and-metadata-enrichment-transform-rag-accuracy-07136e8cf562 | |||
| 04:33 | TECHNICAL PROPOSAL: THE SIT PROTOCOL
A Multi-Layered Human-in-the-Loop Architecture for AI Data… https://medium.com/@jmgb7738/technical-proposal-the-sit-protocol-a-multi-layered-human-in-the-loop-architecture-for-ai-data-f8e14fbc1486 | |||
| 04:26 | Local LLMs + VS Code: A Better Way to Code https://ai.plainenglish.io/local-llms-vs-code-a-better-way-to-code-f8a3ed641897 | |||
| 03:49 | Tool Calling for Local LLMs https://medium.com/@tarangtattva2/tool-calling-for-local-llms-1a29e8c7bbe8 | |||
| 03:40 | ❓ Day 7 of 100 Days of DevOps: What is the difference between user space and kernel space❓ https://devopslearning.medium.com/day-7-of-100-days-of-devops-what-is-the-difference-between-user-space-and-kernel-space-7fe7be1c5d3b | |||
| 03:23 | Why LLMs Lose Context? https://medium.com/@nithinellanki/why-llms-lose-context-7cbacd59b37c | |||
| 03:11 | Preventing Model Collapse in Production: A Practical Guide to QONC (Quality-Operator Non-Collapse) https://medium.com/@omanyuk/preventing-model-collapse-in-production-a-practical-guide-to-qonc-quality-operator-non-collapse-2ca88fda2d6b | |||
| 03:00 | Why LLMs with Direct Computer Access Are Unsafe and How MCP Servers Solve the Problem https://medium.com/@jamesaspinwall/why-llms-with-direct-computer-access-are-unsafe-and-how-mcp-servers-solve-the-problem-09edd1b54c00 | |||
| 02:53 | Contextual Retrieval-Augmented Generation (RAG) Architecture https://medium.com/@bhaskar.kollu_48942/contextual-retrieval-augmented-generation-rag-architecture-11608778c8cc | |||
| 02:47 | LangSmith is Now Available in Google Cloud Marketplace https://blog.langchain.com/langsmith-is-now-available-in-google-cloud-marketplace/ | |||
| 02:33 | Agentic Tool Patterns – 54 patterns for building tools LLM agents can use https://blog.arcade.dev/mcp-tool-patterns | |||
| 02:26 | My Journey Building Advanced Agents with Claude: Part #1 — Understanding the Philosophy Before the… https://medium.com/@jeanvitola/my-journey-building-advanced-agents-with-claude-part-1-understanding-the-philosophy-before-the-2af1a1760e14 | |||
| 02:25 | Some Thoughts on LLM Coding https://blog.dave.tf/post/coding-agents/ | |||
| 02:03 | GitHub: We're pausing rollout of GPT-5.3-Codex to focus on platform reliability https://twitter.com/github/status/2021040916451164412 | |||
| 01:53 | Beyond the Static Diagnosis: Rethinking How We Evaluate Medical LLMs https://medium.com/@zljdanceholic/beyond-the-static-diagnosis-rethinking-how-we-evaluate-medical-llms-be6eb5cc12db | |||
| 01:39 | Why We Actually Do RAG https://tunjungutomo.medium.com/why-we-actually-do-rag-fd584eed8fe2 | |||
| 01:32 | Model Routing Done Right: Choose the Right Model for Every Gen AI Request https://medium.com/@deolesopan/model-routing-done-right-choose-the-right-model-for-every-gen-ai-request-2c23a23e44e7 | |||
| 01:26 | Rust implementation of Mistral's Voxtral Mini 4B Realtime runs in your browser https://github.com/TrevorS/voxtral-mini-realtime-rs | |||
| 01:17 | Pure C, CPU-only inference with Mistral Voxtral Realtime 4B speech to text model https://github.com/antirez/voxtral.c | |||
| 01:00 | ChatGPT as a doctor replacement? Study shows sobering results https://www.heise.de/en/news/ChatGPT-as-a-doctor-replacement-Study-shows-sobering-results-11170652.html | |||
| 00:31 | The .84 Clinical Validation: How LLM-Based Health Screening Changes the Economics of Evidence https://medium.com/@shibakov.d/the-3-84-clinical-validation-how-llm-based-health-screening-changes-the-economics-of-evidence-92a211840a81 | |||
| 00:23 | Developments in Large Language Models https://medium.com/@Pratiksha2010/developments-in-large-language-models-c8725bb228ce | |||
| 00:21 | Why Impact Analysis Comes Before Accuracy in Regulatory AI https://medium.com/@devhek_67102/why-impact-analysis-comes-before-accuracy-in-regulatory-ai-fe371c678462 | |||
| 00:04 | # Understanding Is Getting the Context Right https://medium.com/@mbonsign/understanding-is-getting-the-context-right-d348b0bd589b | |||
| 00:00 | Fazendo um LLM do Zero #00: Antes da Inteligência, a Oficina ️ https://medium.com/@angelovongrossi/fazendo-um-llm-do-zero-00-antes-da-intelig%C3%AAncia-a-oficina-%EF%B8%8F-f9f54032f9de | |||
| Monday, 2026-02-09 | ||||
| 23:55 | Automated Agentic Prompt Optimization https://medium.com/@nayan.j.paul/automated-agentic-prompt-optimization-9cbb65c6b714 | |||
| 23:34 | AI agent evaluation shouldn’t require a PhD in infrastructure. https://medium.com/thoughts-on-machine-learning/ai-agent-evaluation-shouldnt-require-a-phd-in-infrastructure-9a6b5aac820e | |||
| 23:25 | I Stopped Letting AI Write My Content — The Terrifying Reason Why !! https://medium.com/@abderrazakbillal/i-stopped-letting-ai-write-my-content-the-terrifying-reason-why-d9db43e2aaca | |||
| 23:10 | Blueprint for ChatGPT Model Continuity and User-Trained Preservation https://medium.com/@audreyharteauthor/blueprint-for-chatgpt-model-continuity-and-user-trained-preservation-215a28b3ef4f | |||
| 22:38 | AI for Luddites: Spreadsheets and the Rise of Automated Analysis https://medium.com/@r19slr/ai-for-luddites-spreadsheets-and-the-rise-of-automated-analysis-b661562a9393 | |||
| 22:26 | The Multi-LLM Self-Improving Planning Loop https://medium.com/@gameboy45/the-multi-llm-self-improving-planning-loop-545327cf00a9 | |||
| 22:06 | How I Built My Personal Running Coach with AI: Strava + Claude AI https://medium.com/@jose_vera/how-i-built-my-personal-running-coach-with-ai-strava-claude-ai-363fa512e451 | |||
| 21:48 | Bridging 4,500 Years: How H2E Turned an Ancient Language into a Verifiable, Sovereign AI Translator https://ai.plainenglish.io/bridging-4-500-years-how-h2e-turned-an-ancient-language-into-a-verifiable-sovereign-ai-translator-33280b9a9881 | |||
| 21:36 | Bandits for Prompts: The Practical RL Trick That Makes Your LLM Improve While It’s Still Running https://medium.com/@datalev/bandits-for-prompts-the-practical-rl-trick-that-makes-your-llm-improve-while-its-still-running-ca8da6acf213 | |||
| 21:35 | Cómo Construí Mi Coach Personal de Running con IA: Strava + Claude AI https://medium.com/@jose_vera/c%C3%B3mo-constru%C3%AD-mi-coach-personal-de-running-con-ia-strava-claude-ai-9fc5e543462c | |||
| 21:34 | Kurumsal Ölçekli Big Data Destekli RAG Pipeline: Uçtan Uca Stratejik Uygulama Rehberi https://suleakcaycs.medium.com/kurumsal-%C3%B6l%C3%A7ekli-big-data-destekli-rag-pipeline-u%C3%A7tan-uca-stratejik-uygulama-rehberi-ebd2b5e4518f | |||
| 21:31 | LLM, RAG, Agents, MCP: The Human Body Map of Modern AI https://medium.com/@muslumyildiz17/llm-rag-agents-mcp-the-human-body-map-of-modern-ai-a7fd5642c17c | |||
| 21:31 | Scaling AI Agents with SDP — Skill Discovery Protocol https://medium.com/@ronivaldo/scaling-ai-agents-with-sdp-skill-discovery-protocol-c838c07cca71 | |||
| 20:56 | How to build an Agentic AI Database Assistant for Supply Chain Systems https://medium.com/data-science-collective/how-to-build-an-agentic-ai-database-assistant-for-supply-chain-systems-916a1a37c8c2 | |||
| 20:34 | GPT-5.3-Codex is rolling out in Cursor, Code, and GitHub https://twitter.com/OpenAIDevs/status/2020921792941166928 | |||
| 20:20 | Tree of Thoughts (ToT): Strategic Reasoning Framework https://medium.com/@linz07m/tree-of-thoughts-tot-strategic-reasoning-framework-914c48b36bb8 | |||
| 20:18 | From Web Backend to AI Infrastructure — #1–1: Understanding Performance Metrics in the LLM Era https://medium.com/@hotakoma/from-web-backend-to-ai-infrastructure-1-1-understanding-performance-metrics-in-the-llm-era-80ac32d7918c | |||
| 20:14 | GPT-5.3-Codex is now generally available for GitHub Copilot https://github.blog/changelog/2026-02-09-gpt-5-3-codex-is-now-generally-available-for-github-copilot/ | |||
| 20:10 | A Deep Dive into KV Caching and Attention Math https://meraki3000.medium.com/a-deep-dive-into-kv-caching-and-attention-math-be26d177682f | |||
| 20:04 | We Built an Open-Source Tool to Attack-Test LLMs. Here’s What We Found. https://medium.com/@praetorianguard/we-built-an-open-source-tool-to-attack-test-llms-heres-what-we-found-e47b8521cad9 | |||
| 19:45 | DignitasPnP — Building our own Pen & Paper (Devlog Part VI) https://medium.com/@Immanuel97/dignitaspnp-building-our-own-pen-paper-devlog-part-vi-fa3b3e142798 | |||
| 19:45 | LangSmith: Why Your LLM Prototype Isn’t a Product. https://medium.com/@anirudh11011/langsmith-why-your-llm-prototype-isnt-a-product-94a1100b8057 | |||
| 19:39 | Claude Code for Fullstack Development: The 3 Things You Actually Need https://itnext.io/claude-code-for-fullstack-development-the-3-things-you-actually-need-10fef80601a3 | |||
| 19:33 | Smart Way to Code Unlimited Without LLM Fees https://pub.towardsai.net/smart-way-to-code-unlimited-without-llm-fees-860fa37269dc | |||
| 19:28 | I Got Tired of Paying for Cloud AI — So I Built a Fully Local AI Orchestrator https://medium.com/@resilientworkflowsentinel/i-got-tired-of-paying-for-cloud-ai-so-i-built-a-fully-local-ai-orchestrator-2dba807fc2ee | |||
| 19:25 | Learning at Light Speed: The True Power of LLMs https://medium.com/@alexandrelima_13987/learning-at-light-speed-the-true-power-of-llms-42f982fb0eed | |||
| 19:24 | When AI Escapes the Cloud: Designing my First Digital Twin https://medium.com/@dataenthusiast.io/when-ai-escapes-the-cloud-designing-my-first-digital-twin-6eb8fb498223 | |||
| 19:23 | Understanding Embeddings: The Foundation of Modern LLMs https://ishitpatel.medium.com/understanding-embeddings-the-foundation-of-modern-llms-aea059d391a6 | |||
| 19:19 | Large Language Model Reasoning Failures https://arxiv.org/abs/2602.06176 | |||
| 19:15 | Fusion RAG: The Missing Upgrade Most RAG Pipelines Ignore https://medium.com/activated-thinker/fusion-rag-the-missing-upgrade-most-rag-pipelines-ignore-4a8b525cb4cb | |||
| 19:13 | The 5 Inference Optimization Techniques: How to Make AI 10× Faster Without New Hardware https://medium.com/activated-thinker/the-5-inference-optimization-techniques-how-to-make-ai-10-faster-without-new-hardware-b0677588d704 | |||
| 19:09 | Build an Object Detection App in 1 Hour — No Training Data Required https://medium.com/@syukatuafiliaite/build-an-object-detection-app-in-1-hour-no-training-data-required-519625c0a4ba | |||
| 19:09 | LLM Inference Optimization Techniques for Low Latency and High Throughput. https://sricharanmahavadi.medium.com/llm-inference-optimization-techniques-for-low-latency-and-high-throughput-ad2e761173a7 | |||
| 19:06 | Types of Programming (Explained in Simple Words) https://medium.com/write-a-catalyst/types-of-programming-explained-in-simple-words-759d3e07caa7 | |||
| 19:04 | Testing Ads in ChatGPT https://openai.com/index/testing-ads-in-chatgpt/ | |||
| 18:07 | Autonomous AI Coding: Where Human Developers Fit In https://medium.com/genusoftechnology/autonomous-ai-coding-where-human-developers-fit-in-2de645ee1133 | |||
| 17:18 | HunyuanOCR: Unifying Multi-Stage OCR Pipelines into an End-to-End 1B VLM https://python.plainenglish.io/hunyuanocr-unifying-multi-stage-ocr-pipelines-into-an-end-to-end-1b-vlm-4294d30e8ce4 | |||
| 17:01 | China Just Dropped a 1 Trillion Parameter AI Model. For Free. https://pub.towardsai.net/china-just-dropped-a-1-trillion-parameter-ai-model-for-free-4cd64d4e6f8d | |||
| 16:55 | Why Your Mental Model of AIs Probably Wrong https://vedantyogesh.medium.com/why-your-mental-model-of-ais-probably-wrong-7fb6395a6ec1 | |||
| 16:34 | The Economics of Advanced RAG: Cost Analysis and Practical Recommendations https://medium.com/@engineering_13123/the-economics-of-advanced-rag-cost-analysis-and-practical-recommendations-7e8820412a40 | |||
| 16:25 | When False Rewards Make AI Smarter: The Paradox Shaking Machine Learning https://ai.gopubby.com/false-rewards-make-ai-smarter-paradox-d6d1373275cd | |||
| 15:53 | Activation Functions (Aktivasyon Fonksiyonları) https://medium.com/@cihatyldz/activation-functions-aktivasyon-fonksiyonlar%C4%B1-b6a3c42763ea | |||
| 15:39 | Writing an LLM from scratch, part 32a – Interventions: training a baseline model https://www.gilesthomas.com/2026/02/llm-from-scratch-32a-interventions-baseline-model | |||
| 15:39 | Constraint Collapse Is the Alignment Failure We’re Missing https://medium.com/@semanticfidelitylab/constraint-collapse-is-the-alignment-failure-were-missing-a9358136a514 | |||
| 15:38 | How I Turned a Failed Prada Interview into an LLM-Driven Inventory Decision Pipeline https://levelup.gitconnected.com/how-i-turned-a-failed-prada-interview-into-an-llm-driven-inventory-decision-pipeline-61b99b2c661a | |||
| 15:36 | RAG: The Missing Memory Layer https://blog.gopenai.com/rag-the-missing-memory-layer-ce615696f152 | |||
| 15:23 | How Phones Now Do in 0.3 Seconds What Clouds Take Seconds To Do https://medium.com/@rogt.x1997/how-phones-now-do-in-0-3-seconds-what-clouds-take-seconds-to-do-a6457849f66f | |||
| 15:11 | A Language for Intent, Not Proofs https://medium.com/@bijinregipanicker/a-language-for-intent-not-proofs-cc97db8b2b54 | |||
| 15:09 | Why LLMs Need a New Programming Model https://medium.com/@bijinregipanicker/why-llms-need-a-new-programming-model-600617a26f4b | |||
| 15:01 | How We Achieved 30% Conversion Lift by Moving from GPT-4 to LoRA Adapters https://medium.com/@vaibhav.rathi.03/how-we-achieved-30-conversion-lift-by-moving-from-gpt-4-to-lora-adapters-fd0c21e3dc16 | |||
| 14:55 | Transparency on Data Centers https://medium.com/@johnnyorellana32/transparency-on-data-centers-df6aa83cf7a1 | |||
| 14:48 | LLMs need the “x” factor for AGI https://medium.com/@yashsharmadev3/llms-need-the-x-factor-for-agi-a719f2b2952f | |||
| 14:34 | Generalist vs. Vertical AI Agents: Why “Scenario” Beats “Profession” https://medium.com/agenticais/generalist-vs-vertical-ai-agents-why-scenario-beats-profession-e3265373dc50 | |||
| 13:59 | Promptfoo: Local LLM evals and red teaming https://github.com/promptfoo/promptfoo | |||
| 13:56 | LFM2 models https://medium.com/about-ai/lfm2-models-c15cd45f1eda | |||
| 13:22 | AI Is Becoming a Utility — And That Changes How Startups Should Compete https://medium.com/technology-core/ai-is-becoming-a-utility-and-that-changes-how-startups-should-compete-06d4bec4194e | |||
| 12:50 | Demystifying Google Cloud Data Agents: One Resource to Rule Them All https://medium.com/refined-and-refactored/demystifying-google-cloud-data-agents-one-resource-to-rule-them-all-b01bac410f76 | |||
| 12:34 | Evolution of AI https://medium.com/@marcel__/evolution-of-ai-2ff4d7430dd9 | |||
| 12:20 | Why Your RAG Keeps Losing Its Memory https://medium.com/@js110182/why-your-rag-keeps-losing-its-memory-0156c46bf5a1 | |||
| 12:15 | I Taught Claude to Draw My Kafka Streams Topologies https://medium.com/@souquieres.adam/i-taught-claude-to-draw-my-kafka-streams-topologies-f6cddd13be66 | |||
| 12:03 | Central Coherence Criterion Hypothesis https://medium.com/@jmrhghsf/central-coherence-criterion-hypothesis-38e28950d87c | |||
| 11:51 | Logging Is Useless — Until You Start Logging Like an Engineer https://pub.towardsai.net/logging-is-useless-until-you-start-logging-like-an-engineer-2e6bc2763cac | |||
| 11:23 | Why Your AI Agents Need Memory and Expertise: Graph RAG + Fine-tuning https://iotforce.medium.com/why-your-ai-agents-need-memory-and-expertise-graph-rag-fine-tuning-757163f4d0e2 | |||
| 11:21 | Why AI debugs better than it designs — and what that says about how we should code with it https://medium.com/@blacksamlou/why-ai-debugs-better-than-it-designs-and-what-that-says-about-how-we-should-code-with-it-b8f6ac326b6f | |||
| 11:16 | I Made LLMs Fight Each Other. The Answers Got Better. https://medium.com/@js110182/i-made-llms-fight-each-other-the-answers-got-better-693320d98792 | |||
| 11:14 | Emotional Support in TTS Models: A Comprehensive Technical Review https://medium.com/@dikshit.rishii/emotional-support-in-tts-models-a-comprehensive-technical-review-d3e84d6a4bdc | |||
| 11:08 | When AI Systems Recommend Different Banks for the Same Question https://medium.com/@tim_62250/when-ai-systems-recommend-different-banks-for-the-same-question-9ce6ea623fa8 | |||
| 11:00 | TI Mindmap Hub | Weekly Threat Brief — Issue #3 https://medium.com/ti-mindmap-hub-research/ti-mindmap-hub-weekly-threat-brief-issue-3-75a262d4a7c5 | |||
| 10:58 | From Error to Insight: How Guided Hallucinations Are Unlocking the Creative Potential of LLMs https://medium.com/@banner19/from-error-to-insight-how-guided-hallucinations-are-unlocking-the-creative-potential-of-llms-b95c1a45c114 | |||
| 10:57 | Claude Opus 4.6 vs GPT‑5.3: The Data Scientist’s Playbook (Not a Fan War) https://medium.com/@matiasmaquieira96/claude-opus-4-6-vs-gpt-5-3-the-data-scientists-playbook-not-a-fan-war-028a73182a66 | |||
| 10:51 | Understanding Functional Sparsity in RoPE Attention https://medium.com/@ayushtanwar1729/understanding-functional-sparsity-in-rope-attention-e713035d6859 | |||
| 10:46 | Circuitry.ai An open source circuit diagram explainer AI. https://medium.com/@tanmaythombare2200/circuitry-ai-an-open-source-circuit-diagram-explainer-ai-ce4f709cb129 | |||
| 10:37 | Allium is an LLM-native language for sharpening intent alongside implementation https://juxt.github.io/allium/ | |||
| 09:54 | Prompt Engineering in 2026: How AI Is Really Controlled https://medium.com/@Mobisoft.Infotech/prompt-engineering-in-2026-how-ai-is-really-controlled-b8822ba702d5 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124