LLM News and Articles
| Tuesday, 2026-02-03 | ||||
| 17:09 | Are LLM failures – including hallucination – structurally unavoidable? (RCC) http://www.effacermonexistence.com/rcc-hn-1 | |||
| 17:01 | LiteLLM: A Unified LLM API Gateway for Enterprise AI https://medium.com/@mrutyunjaya.mohapatra/litellm-a-unified-llm-api-gateway-for-enterprise-ai-de23e29e9e68 | |||
| 16:42 | Tutorial: Building a Human-Aware Code Assistant with Agent Spec (Part 2) https://medium.com/oracledevs/tutorial-building-a-human-aware-code-assistant-with-agent-spec-part-2-19792a58211b | |||
| 16:38 | From MLOps to LLM Ops: A Guide to Production-Ready AI with MLflow 3.0 https://medium.com/@vsanmed/from-mlops-to-llm-ops-a-guide-to-production-ready-ai-with-mlflow-3-0-4f206507410a | |||
| 16:32 | Apple and Google team up: the future of mobile AI https://medium.com/@valeriaocmpo.19/apple-and-google-team-up-the-future-of-mobile-ai-e666cf56db2a | |||
| 16:22 | Beyond AI Agent Tools with LLM Sandbox https://cobusgreyling.medium.com/beyond-ai-agent-tools-with-llm-sandbox-2bd9b4cf148a | |||
| 16:16 | MONGODB NEDİR? https://medium.com/@zeytinliyunusemre/mongodb-nedi%CC%87r-3df03ec4d926 | |||
| 16:01 | I Started Using LangGraph — and It Changed How I Build AI Workflows https://medium.com/@amansharmara112/i-started-using-langgraph-and-it-changed-how-i-build-ai-workflows-27658ea0a7cb | |||
| 16:00 | The NeMo Manifesto: Engineering the Agentic Era https://medium.com/@frankmorales_91352/the-nemo-manifesto-engineering-the-agentic-era-4251948db51c | |||
| 15:53 | The Evolution of Transformers: A Journey from Linear Attention to Higher-Order Attention https://medium.com/@cenghanbayram35/the-evolution-of-transformers-a-journey-from-linear-attention-to-higher-order-attention-59b07bf24388 | |||
| 15:48 | Anthropic is Down https://updog.ai/status/anthropic | |||
| 15:47 | Knowledge Graphs Reveal the Hidden Architecture of Great Literature https://medium.com/@shereshevsky/knowledge-graphs-reveal-the-hidden-architecture-of-great-literature-fa69798cc6b0 | |||
| 15:40 | Making LLMs Faster: Using LDA to Organize Data for RAG https://medium.com/@gauurab/making-llms-faster-using-lda-to-organize-data-for-rag-e7d4c0537bba | |||
| 15:39 | OpenAI's ChatGPT push triggers senior staff exits https://www.ft.com/content/e581b7a4-455c-48e6-a87c-c39bb9c62a12 | |||
| 15:33 | TAI #190: Genie 3 World Model Goes Public https://pub.towardsai.net/tai-190-genie-3-world-model-goes-public-bf7784a4839d | |||
| 15:31 | Observability for AI Products: Systems That Think, not just Run! https://pub.aimind.so/observability-for-ai-products-systems-that-think-not-just-run-7e638f46ea58 | |||
| 15:31 | Is Your GPU Code Compute-Bound or Communication-Bound? https://medium.com/@maddpublish/is-your-gpu-code-compute-bound-or-communication-bound-2c3ed4f1cc34 | |||
| 15:30 | Kimi K2.5 Agent Swarm: Spread Complex Jobs Across 100 Agents, Attack Tasks in Packs https://ai.plainenglish.io/kimi-k2-5-agent-swarm-spread-complex-jobs-across-100-agents-attack-tasks-in-packs-bf3cb44abf31 | |||
| 15:16 | How to Build a Document Upload + Answer Engine Without a Vector DB Powered by PageIndex https://medium.com/modelmind/how-to-build-a-document-upload-answer-engine-without-a-vector-db-powered-by-pageindex-d817fef4faa7 | |||
| 15:12 | Algorithmic Colonialism Through Automated Content Moderation Models in the Global South https://medium.com/@faranehyahyaei/algorithmic-colonialism-through-automated-content-moderation-models-in-the-global-south-f6d9c034e328 | |||
| 15:03 | The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+ https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3 | |||
| 14:59 | Show HN: LUML – an open source (Apache 2.0) MLOps/LLMOps platform https://github.com/luml-ai/luml | |||
| 14:57 | Feedback Intelligence Is Joining ActiveCampaign https://medium.com/@movchinar/feedback-intelligence-is-joining-activecampaign-03f97a889695 | |||
| 14:45 | Revisiting ChatGPT's financial advice, 15 months later https://thomasvilhena.com/2026/02/revisiting-chatgpt-financial-advice | |||
| 14:19 | Anthropic's Performance Take-Home: A 65x Optimization (For Dummies) https://www.ikot.blog/anthropic-take-home-for-dummies | |||
| 14:18 | AI for Luddites: 2026 Predictions https://medium.com/@r19slr/ai-for-luddites-2026-predictions-dafaf018031c | |||
| 14:01 | Building LLM Memory from Scratch #5: Hierarchical Self-Managed Memory https://medium.com/data-science-collective/building-llm-memory-from-scratch-5-hierarchical-self-managed-memory-271014c18c67 | |||
| 13:59 | Anthropic, you need a shell parser https://me.micahrl.com/blog/anthropic-you-need-a-shell-parser/ | |||
| 13:56 | OpenClaw Found What Every AI Lab Missed: Regular People Have Tasks Too https://medium.com/@danthelion/openclaw-found-what-every-ai-lab-missed-regular-people-have-tasks-too-253317c8e4b5 | |||
| 13:17 | Expensively Quadratic: The LLM Agent Cost Curve https://blog.exe.dev/expensively-quadratic | |||
| 13:09 | Introduction to Large Language Models (LLMs) https://pub.aimind.so/introduction-to-large-language-models-llms-12274994b3eb | |||
| 13:03 | Why Training Large Language Models Is Harder Than You Think ! https://medium.com/@akanksha27mishra/why-training-large-language-models-is-harder-than-you-think-f2e44f8cb7b9 | |||
| 12:51 | LangChain ile Sistem Odaklı LLM Uygulamaları https://medium.com/@gamzeyarimkulak/langchain-ile-sistem-odakl%C4%B1-llm-uygulamalar%C4%B1-aa9d8b430d62 | |||
| 12:39 | Ruby Didn’t Miss the AI Party: Building Smart Apps with Langchain.rb https://medium.com/@dkdottk/ruby-didnt-miss-the-ai-party-building-smart-apps-with-langchain-rb-581272d8a0df | |||
| 12:36 | How Ollama Stores Models https://medium.com/@enisbaskapan/how-ollama-stores-models-11fc47f48955 | |||
| 12:33 | What If Your Brain Was the Next AI Chip? https://medium.com/@paraschhugani/what-if-your-brain-was-the-next-ai-chip-3268304157f2 | |||
| 12:31 | 9 RAG Architectures Every AI Developer Must Master in 2025 https://pub.towardsai.net/9-rag-architectures-every-ai-developer-must-master-in-2025-2f086aea6a58 | |||
| 12:13 | Optimizing LangGraph Agents with Agent Lightning and APO (Automatic Prompt Optimization) https://medium.com/@simon.budziak/optimizing-langgraph-agents-with-agent-lightning-and-apo-automatic-prompt-optimization-ed4977fd9e69 | |||
| 11:58 | We’re All Just Talking to Machines Now https://medium.com/@brianmgwena/were-all-just-talking-to-machines-now-674637a85ae5 | |||
| 11:45 | The Ultimate GenAI Handbook — A Complete Dictionary for Techies and Managers https://blog.kantcodes.com/the-ultimate-genai-handbook-a-complete-dictionary-for-techies-and-managers-85874238b77d | |||
| 11:44 | Building a System Where AI Tunes AI: Auto-Exploring LLM Inference-Time Parameters https://medium.com/@youth_k/building-a-system-where-ai-tunes-ai-auto-exploring-llm-inference-time-parameters-2e33004da29b | |||
| 11:29 | How Large Language Models Reason vs. Memorize https://medium.com/@piyush.jhamb4u/how-large-language-models-reason-vs-memorize-f686f5a39f35 | |||
| 11:25 | Training Design for Text-to-Image Models: Lessons from Ablations https://huggingface.co/blog/Photoroom/prx-part2 | |||
| 11:21 | How to Tell If Your AI Agent Costs More Than the Team It Replaced https://medium.com/@pranavdhoolia/how-to-tell-if-your-ai-agent-costs-more-than-the-team-it-replaced-60ad57fb9265 | |||
| 11:09 | How LLMs Choose What to Say: Data, Authority, and the Rise of Generative Engine Optimization (GEO) https://medium.com/@vibhasharma1/how-llms-choose-what-to-say-data-authority-and-the-rise-of-generative-engine-optimization-geo-cc68cbfa222d | |||
| 11:07 | Can Emancipated AGI Be Strategically Underdesigned? https://cryptosamadhi.medium.com/can-emancipated-agi-be-strategically-underdesigned-08c0eef57528 | |||
| 11:03 | Model Customization Part 3: Return of the Model — The Empire Strikes Production https://medium.com/@brn.pistone/model-customization-part-3-return-of-the-model-the-empire-strikes-production-c643c0b56eae | |||
| 11:00 | GraphRAG: Turning Your LLM into a Reasoning Powerhouse https://medium.com/readers-club/graphrag-turning-your-llm-into-a-reasoning-powerhouse-a7e52b2cd362 | |||
| 10:38 | Building an Autonomous Customer Support Agent with MCP and RAG https://medium.com/@suntzu_80548/building-an-autonomous-customer-support-agent-with-mcp-and-rag-050b67a51618 | |||
| 10:29 | GonkaGate: Why I Think Decentralized Inference Finally Makes Sense https://medium.com/@daniil.koryto/gonkagate-why-i-think-decentralized-inference-finally-makes-sense-91fa6f225428 | |||
| 10:21 | Anatomy of an Agent (Spoiler: It’s Still Just Code) https://medium.com/ewake-ai/anatomy-of-an-agent-spoiler-its-still-just-code-9c8d5d7b777f | |||
| 10:18 | Understanding Gradient Descent and How to Know If It’s Converging https://medium.com/@iamayush027/understanding-gradient-descent-and-how-to-know-if-its-converging-c9465f2aad3d | |||
| 10:15 | The Synthetic Data Revolution: How AI is Learning to Train Itself https://medium.com/@guidorusso95/the-synthetic-data-revolution-how-ai-is-learning-to-train-itself-5d81fad3b809 | |||
| 10:10 | Zero-RAG: Prune First, Retrieve When It Matters https://medium.com/ai-exploration-journey/zero-rag-prune-first-retrieve-when-it-matters-cc93edbe5f27 | |||
| 09:47 | I Built a “Serverless” Semantic Cache in Python. It Cut Latency to 5ms. https://medium.com/data-science-collective/i-built-a-serverless-semantic-cache-in-python-it-cut-latency-to-5ms-1010a0f66c44 | |||
| 08:49 | The Day OpenAI Broke With Nvidia (While Agents Made Perfect Decisions But Did Nothing) https://medium.com/@lssmj2014/the-day-openai-broke-with-nvidia-while-agents-made-perfect-decisions-but-did-nothing-8841ef1102c9 | |||
| 08:46 | Kimi K2.5 Review: Testing Moonshot’s Agent Swarm and Visual Intelligence Claims https://medium.com/@ai-labs/kimi-k2-5-review-testing-moonshots-agent-swarm-and-visual-intelligence-claims-4e40f2aae87e | |||
| 08:35 | The Startup’s Model Selection Playbook: How to Pick AI Models Without Burning Your Rundown https://medium.com/@patriwala/the-startups-model-selection-playbook-how-to-pick-ai-models-without-burning-your-rundown-80c4b33ee2da | |||
| 08:16 | The Anatomy of Modern Reasoning: Why the Transformer Still Rules in 2026 https://medium.com/@gabrielezenarola/the-anatomy-of-modern-reasoning-why-the-transformer-still-rules-in-2026-4cf9a007108c | |||
| 07:59 | Knowledge-Augmented Reasoning https://tahir-yamin.medium.com/knowledge-augmented-reasoning-117c4e2ba64c | |||
| 07:56 | I Built My Own NotebookLM-Style Document Assistant with Gemma 3 (And You Can Too) https://medium.com/@muhibuddin12/i-built-my-own-notebooklm-style-document-assistant-with-gemma-3-and-you-can-too-44e301855f04 | |||
| 07:47 | The Enterprise Institution Reformation AI Is Forcing: Agent-Centric and Ontology-Centric… https://jinlow.medium.com/the-enterprise-institution-reformation-ai-is-forcing-agent-centric-and-ontology-centric-b8293d97c691 | |||
| 07:41 | How to Document Large Language Model APIs: A Technical Writer’s Guide https://medium.com/@niksheydhiman/how-to-document-large-language-model-apis-a-technical-writers-guide-22151cca8dd7 | |||
| 07:40 | Building an AI Customer Service Agent: A Production-Ready Implementation https://sulbhajain.medium.com/building-an-ai-customer-service-agent-a-production-ready-implementation-4d3d29d1b1bc | |||
| 07:15 | Introducing TI Mindmap HUB: an Open Research Platform for AI-Powered Threat Intelligence https://medium.com/ti-mindmap-hub-research/introducing-ti-mindmap-hub-an-open-research-platform-for-ai-powered-threat-intelligence-4592faddf96c | |||
| 07:06 | The Spirits We Summon: What LLMs ‘Say’ About People https://medium.com/@jan.seifert/the-spirits-we-summon-what-llms-say-about-people-cc353e80c14d | |||
| 06:57 | GDPO: The Hidden Flaw in Multi-Reward RLHF That’s Been Sabotaging Your LLM Training https://blog.gopenai.com/gdpo-the-hidden-flaw-in-multi-reward-rlhf-thats-been-sabotaging-your-llm-training-de3625b9f7df | |||
| 06:51 | 4 Best AI Agent Authentication platforms to consider in 2026 https://medium.com/@aakash013/4-best-ai-agent-authentication-platforms-to-consider-in-2026-aee04ec10d57 | |||
| 06:49 | “Stop Asking AI Dumb Questions”: Prompt Engineering 101 (So Your AI Actually Helps You) https://medium.com/@johirbuet/stop-asking-ai-dumb-questions-prompt-engineering-101-so-your-ai-actually-helps-you-c47102978ada | |||
| 06:21 | The AISU Framework (2026) https://blog.venturemagazine.net/the-aisu-framework-2026-f89bdb005138 | |||
| 06:15 | # How to Run Uncensored GLM-4.7-Flash Locally with Claude Code https://medium.com/@indrasmirror/how-to-run-uncensored-glm-4-7-flash-locally-with-claude-code-f9d6d3f07e52 | |||
| 06:11 | Sam Altman felt "useless" next to Codex https://twitter.com/sama/status/2018444309750862333 | |||
| 06:03 | 15 GenAI Terms You Must Know (with Code Examples) https://medium.com/@ARishi/15-genai-terms-you-must-know-with-code-examples-3a7375e3f24b | |||
| 05:51 | Top 10 Ways How LLM Development Companies Are Transforming Businesses in 2026 https://medium.com/jploft/top-10-ways-how-llm-development-companies-are-transforming-businesses-15341c2f6012 | |||
| 04:52 | Stop Hallucinations: How RAG Bridges the Gap Between LLMs and Reality https://adjidharmawanindrianto.medium.com/stop-hallucinations-how-rag-bridges-the-gap-between-llms-and-reality-a479fa99064f | |||
| 04:44 | The Lobsters are Loose: Why Viral AI Agents are a Business Nightmare, and How AIBJ Tech Delivers… https://medium.com/@aibj_tech/the-lobsters-are-loose-why-viral-ai-agents-are-a-business-nightmare-and-how-aibj-tech-delivers-404b08eaf098 | |||
| 04:39 | Setting Up a Secure Docker Environment for Ollama https://epma.medium.com/setting-up-a-secure-docker-environment-for-ollama-003baafe82a1 | |||
| 04:34 | Safe and Secure Use of Ollama — Best Practices Based on Global Cybersecurity Vulnerabilities… https://epma.medium.com/safe-and-secure-use-of-ollama-best-practices-based-on-global-cybersecurity-vulnerabilities-b6052ad517be | |||
| 04:19 | When Models Commoditize https://medium.com/@omarsmith89/when-models-commoditize-0a0e64adbdfa | |||
| 04:19 | Deterministic Prompting is the Aspiration https://saikumarchintada.medium.com/deterministic-prompting-is-the-aspiration-9eb9272dc245 | |||
| 04:09 | Ace your Machine Learning Interview: 400 Practice Questions https://kawsar34.medium.com/ace-your-machine-learning-interview-400-practice-questions-7aeb04bd93c9 | |||
| 03:37 | Just 4 days to go! https://devopslearning.medium.com/just-4-days-to-go-b6d71da66121 | |||
| 03:32 | Reducing LLM Hallucinations with Knowledge Graphs and Coarse-to-Fine Highlighting https://medium.com/stanford-cs224w/reducing-llm-hallucinations-with-knowledge-graphs-and-coarse-to-fine-highlighting-ff9f68d3920f | |||
| 03:28 | Observation Capture: When Mediated Sensors Can’t Expand an Agent’s Power (and When They Can) https://blog.gopenai.com/observation-capture-when-mediated-sensors-cant-expand-an-agent-s-power-and-when-they-can-5491242d05ef | |||
| 03:14 | What is Agentic AI? https://medium.com/@pvprasanth474/what-is-agentic-ai-c53121adb71a | |||
| 02:53 | The Great Agent Optimization Race: From Theory to Reality https://sulbhajain.medium.com/the-great-agent-optimization-race-from-theory-to-reality-2000e55ef8b0 | |||
| 02:33 | NVIDIA’s Nemotron 3 Nano NVFP4 delivers 4× throughput with 99.4% BF16 accuracy. https://medium.com/coding-nexus/nvidias-nemotron-3-nano-nvfp4-delivers-4-throughput-with-99-4-bf16-accuracy-b55d2572a9ea | |||
| 01:47 | What Oracle Has to Lose from OpenAI and Nvidia's Rocky Relationship https://www.wsj.com/tech/ai/what-oracle-has-to-lose-from-openai-and-nvidias-rocky-relationship-b1ec1e9d | |||
| 01:29 | Revisiting “Profession” in the Latest Age of AI https://medium.com/@lfoster.se.be/revisiting-profession-in-the-latest-age-of-ai-ef98ec6d3b7c | |||
| 01:27 | kimi k2.5 https://medium.com/@bubhuvana31/kimi-k2-5-e0b673c981f6 | |||
| 01:24 | Kimi K2.5: From Agent Swarms to Production Pipelines https://medium.com/@LakshmiNarayana_U/kimi-k2-5-from-agent-swarms-to-production-pipelines-70ab9b6033df | |||
| 01:17 | How LLM agents rewired my entire coding workflow https://medium.com/coding-nexus/how-llm-agents-rewired-my-entire-coding-workflow-0e7c966870ab | |||
| 00:38 | The Model Selection Trap: Choosing the Right LLM for Agentic Systems (2026) https://medium.com/@nraman.n6/the-model-selection-trap-choosing-the-right-llm-for-agentic-systems-2026-be2817c2e533 | |||
| 00:37 | The Tool Execution Gap: Why Your Agents Make Perfect Decisions But Nothing Gets Done https://medium.com/@nraman.n6/the-tool-execution-gap-why-your-agents-make-perfect-decisions-but-nothing-gets-done-d44fecc623a4 | |||
| 00:32 | What are LLMs https://medium.com/@sharathvyas/what-are-llms-91667ab8263e | |||
| 00:26 | How to Connect Your APIs to LLMs: A Deep Dive into Model Context Protocol (MCP) https://dianper.medium.com/how-to-connect-your-apis-to-llms-a-deep-dive-into-model-context-protocol-mcp-4a596fea343c | |||
| 00:14 | Primera llamada a la API de Claude en Python: guía paso a paso (parte #4) https://medium.com/@jeanvitola/mi-camino-creando-agentes-con-claude-parte-4-tu-primera-llamada-a-la-api-15ab84f3f915 | |||
| 00:01 | From Chaos to Intelligence: How AI Training Actually Works https://pub.towardsai.net/from-chaos-to-intelligence-how-ai-training-actually-works-9f41b9728dac | |||
| 00:01 | How I Built pdf-mcp: Solving Claude’s Large PDF Limitations with MCP https://kevinjztan.medium.com/how-i-built-pdf-mcp-solving-claudes-large-pdf-limitations-with-mcp-c497499b7432 | |||
| Monday, 2026-02-02 | ||||
| 23:52 | …And This Is The Truth! https://medium.com/@MaGo64/and-this-is-the-truth-923bf1c98840 | |||
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Release v20241124