LLM News and Articles
| Monday, 2026-01-19 | ||||
| 19:41 | The Surprising Responses of LLMs to the Trolley Problem https://valasys.medium.com/the-surprising-responses-of-llms-to-the-trolley-problem-5c41ae6424df | |||
| 19:33 | When the LLM Programs Its Own Thinking — Context Window isn’t a limit anymore https://medium.com/data-science-collective/when-the-llm-programs-its-own-thinking-context-window-isnt-a-limit-anymore-d445b8ed8d96 | |||
| 19:22 | The 3 Silent Frustrations of AI Coding https://levelup.gitconnected.com/the-3-silent-frustrations-of-ai-coding-10cf335db84c | |||
| 19:00 | Why Your LLM Latency Spikes at Scale https://medium.com/@thekzgroupllc/why-your-llm-latency-spikes-at-scale-0f78f59e7689 | |||
| 18:58 | Building Intelligent AI Memory Systems: Combining Conversation Buffers with Structured Storage in… https://medium.com/@sajo02/building-intelligent-ai-memory-systems-combining-conversation-buffers-with-structured-storage-in-065c083b061c | |||
| 18:48 | The Shocking Truth About AI Safety: What 7 Leading Models Don’t Want You to Know https://ai.plainenglish.io/the-shocking-truth-about-ai-safety-what-7-leading-models-dont-want-you-to-know-7c8ca76be43b | |||
| 18:35 | GLM-4.7-Flash: Z.ai’s free coding model and what the benchmarks say https://jpcaparas.medium.com/glm-4-7-flash-z-ais-free-coding-model-and-what-the-benchmarks-say-da04bff51d47 | |||
| 18:27 | Exploring the Best AEO Checkers for Answer Engine Optimization https://medium.com/seo-ai-club/exploring-the-best-aeo-checkers-for-answer-engine-optimization-8b2b161326ab | |||
| 18:20 | MCP vs RAG: The Enterprise AI Architect's Complete Guide https://medium.com/mlwithdev/mcp-vs-rag-the-enterprise-ai-architects-complete-guide-4b24dda1fc13 | |||
| 18:08 | How to Host Your Own Model on GPU: An End-to-End Guide (From Basics to Production-Grade Inference) https://medium.com/@ashwindevelops/how-to-host-your-own-model-on-gpu-an-end-to-end-guide-from-basics-to-production-grade-inference-63539122a538 | |||
| 17:39 | Part II|The Neural Structure of Hallucination https://luka-neurowatt.medium.com/part-ii-the-neural-structure-of-hallucination-a9a83ca9330b | |||
| 16:43 | The Schizophrenic Machine: Why Reasoning Models Are Talking to Themselves https://evoailabs.medium.com/the-schizophrenic-machine-why-reasoning-models-are-talking-to-themselves-d7f1e4e23c62 | |||
| 16:36 | Welcome to Token Limit https://medium.com/token-limit/welcome-to-token-limit-6d45fdc5da0f | |||
| 16:30 | The AI Isn’t “Getting Smarter.” It’s Getting a Better Memory (and a Bigger Lunchbox) https://abvcreative.medium.com/the-ai-isnt-getting-smarter-it-s-getting-a-better-memory-and-a-bigger-lunchbox-49a3b0c703d7 | |||
| 16:18 | The Hard Part of AI Coding Isn’t the Model -It’s the Execution Layer https://medium.com/@kvarshithkrishna/the-hard-part-of-ai-coding-isnt-the-model-it-s-the-execution-layer-55eb565f206f | |||
| 16:11 | Autonomous Agent Loops: Combining Ralph Wiggum and Thread-Based Engineering https://medium.com/coding-nexus/autonomous-agent-loops-combining-ralph-wiggum-and-thread-based-engineering-e83632ab6931 | |||
| 16:03 | Comparing Foundation Models Locally with Ollama https://levelup.gitconnected.com/comparing-foundation-models-locally-with-ollama-5be74b10af7c | |||
| 16:03 | Talking Documents with Doc-Researcher: Document Parsing + Hybrid Retrieval for Multi-Agent Resea https://levelup.gitconnected.com/talking-documents-with-doc-researcher-document-parsing-hybrid-retrieval-for-multi-agent-resea-08796433448f | |||
| 16:02 | Interactive SQL playground with Claude & PostgreSQL https://levelup.gitconnected.com/interactive-sql-playground-with-claude-postgresql-a29cd1c9a513 | |||
| 16:00 | Cerebras Inks Transformative B Inference Deal with OpenAI https://www.nextplatform.com/2026/01/15/cerebras-inks-transformative-10-billion-inference-deal-with-openai/ | |||
| 16:00 | How Remote uses LangChain and LangGraph to onboard thousands of customers with AI https://www.blog.langchain.com/customers-remote/ | |||
| 16:00 | How Remote uses LangChain and LangGraph to onboard thousands of customers with AI https://blog.langchain.com/customers-remote/ | |||
| 15:59 | How to Build AI Agents That Don’t Hallucinate When Decisions Matter https://levelup.gitconnected.com/how-to-build-ai-agents-that-dont-hallucinate-when-decisions-matter-8d284b829c79 | |||
| 15:59 | How LLMs Forget Information in Long Conversations https://medium.com/@yusefulum/how-llms-forget-information-in-long-conversations-70f26d44e48c | |||
| 15:57 | Gemini-Powered Prompt Engineering: From Quick Prompts to Production-Ready Image Generation https://iamdgarcia.medium.com/gemini-powered-prompt-engineering-from-quick-prompts-to-production-ready-image-generation-633c6de5f047 | |||
| 15:57 | Building a Multi-Agent Criminal Intelligence System: How AI Agents, Neo4j, and Network Analysis… https://medium.com/@francotesei/building-a-multi-agent-criminal-intelligence-system-how-ai-agents-neo4j-and-network-analysis-a9fff194dc12 | |||
| 15:56 | Beyond the Chatbot: Experimenting with Agents to Solve the “Long Tail” of EOR Compliance https://technology.justworks.com/beyond-the-chatbot-experimenting-with-agents-to-solve-the-long-tail-of-eor-compliance-5598c8935bfb | |||
| 15:49 | When Your “Perfect” AI Agent Meets Reality (And Reality Wins) https://medium.com/@reena_bajaj/when-your-perfect-ai-agent-meets-reality-and-reality-wins-f08f860b7d7f | |||
| 15:41 | Stop Redesigning Chat Databases: The Case for a Universal AI ORM https://medium.com/@eshaiju/stop-redesigning-chat-databases-the-case-for-a-universal-ai-orm-50975cd9c828 | |||
| 15:37 | The Entropy Shift: Software Engineering’s Second Half https://medium.com/@yuebaizhangv/the-entropy-shift-software-engineerings-second-half-1fd10a20a984 | |||
| 15:33 | How to Code 4x Faster with Claude in 2026 (Without Blowing Your Anthropic Budget) https://medium.com/@comeback01/how-to-code-4x-faster-with-claude-in-2026-without-blowing-your-anthropic-budget-42f764bb877d | |||
| 15:32 | Agent Memory Done Right: Store Less, Ship More https://medium.com/@1nick1patel1/agent-memory-done-right-store-less-ship-more-a6ab86d52be3 | |||
| 15:17 | AI Library: Gradient Descent https://medium.com/@gusrnrghks/ai-library-gradient-descent-a70dde070183 | |||
| 15:11 | Understanding AI Tokens: A Comprehensive Guide for Boomers and Beginners https://medium.com/@alchemyAI33/understanding-ai-tokens-a-comprehensive-guide-for-boomers-and-beginners-7c0b05def78d | |||
| 14:52 | BIY: Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks https://medium.com/feedzaitech/biy-preparing-a-dataset-and-benchmarking-ai-models-for-scatterplot-related-tasks-11cbef120cd1 | |||
| 14:45 | Prompt-to-Product: How to Turn Your LLM Prototype into a Real MVP https://medium.com/@felix0004/prompt-to-product-how-to-turn-your-llm-prototype-into-a-real-mvp-ec31a3ae4076 | |||
| 14:40 | Evaluating Large Language Models for Question Generation with Metrics and Rubrics https://medium.com/@mokarakaya_83469/evaluating-large-language-models-for-question-generation-with-metrics-and-rubrics-75a5c3adcb88 | |||
| 14:24 | Messing around with Biases in LLMs — Funny examples https://federico-ricciuti.medium.com/messing-around-with-biases-in-llms-funny-examples-0149481d6875 | |||
| 14:17 | Retrieval-Augmented Generation (RAG): The Complete Practical Guide to Building Reliable AI Systems https://medium.com/@vamsikopparthi84/retrieval-augmented-generation-rag-the-complete-practical-guide-to-building-reliable-ai-systems-c29cde7986b6 | |||
| 14:12 | How to Fine-Tune an LLM for Domain Reliability https://medium.com/@felix0004/how-to-fine-tune-an-llm-for-domain-reliability-2673246d1c10 | |||
| 13:15 | Stop Wasting GPU Cycles: The Economics of Automatic Prompt Optimization https://medium.com/@jiyang.kang/stop-wasting-gpu-cycles-the-economics-of-automatic-prompt-optimization-2ecfbabe8ee5 | |||
| 13:10 | Why Your Chatbot Is Lying to You (And How RAG Fixes It) https://medium.com/@ai_14658/why-your-chatbot-is-lying-to-you-and-how-rag-fixes-it-61f41c659f6e | |||
| 12:41 | MakerCode v1.0: We Added AI to The Hardware LeetCode https://medium.com/@ngweiyet/makercode-v1-0-we-added-ai-to-the-hardware-leetcode-6e3ca65c16ff | |||
| 12:32 | Context Strategy: Por Que IA Sem Controle Está Quebrando o Desenvolvimento de Software https://medium.com/@jeftar.mascarenhas/context-strategy-por-que-ia-sem-controle-est%C3%A1-quebrando-o-desenvolvimento-de-software-8b18ea37a5b2 | |||
| 12:32 | Why Your Brilliant AI Agent Might Be Your Biggest Risk (And How to Fix That) https://pub.towardsai.net/why-your-brilliant-ai-agent-might-be-your-biggest-risk-and-how-to-fix-that-7f79f92d38f9 | |||
| 12:31 | How to Run Local LLMs on Android: From Setup to Real-World Use Cases https://medium.com/@maydin/how-to-run-local-llms-on-android-from-setup-to-real-world-use-cases-12f29f969bf8 | |||
| 12:14 | Why Your AI Keeps Forgetting What You Just Told It https://medium.com/design-bootcamp/why-your-ai-keeps-forgetting-what-you-just-told-it-f9c1204f66fb | |||
| 11:52 | The Reasoning Revolution: How LRMs Are Redefining AI in Healthcare https://medium.com/@mailsrene/the-reasoning-revolution-how-lrms-are-redefining-ai-in-healthcare-be104771290d | |||
| 11:50 | Cloud AI vs. Local AI: Advantages & Disadvantages https://gjgalante.medium.com/cloud-ai-vs-local-ai-advantages-disadvantages-bec34239a60a | |||
| 11:48 | Why Chunking Eats 70% of Legal RAG Effort — And How I Built a System That Survived Audits https://medium.com/@mehr.anuja/why-chunking-eats-70-of-legal-rag-effort-and-how-i-built-a-system-that-survived-audits-a6c68b3bd078 | |||
| 11:38 | Humans Pay Time Upfront to Discover Meaning https://cryptosamadhi.medium.com/humans-pay-time-upfront-to-discover-meaning-ef1a65b64e7f | |||
| 11:02 | RAG vs Agents: Retrieval, Reasoning, or Both? https://medium.com/@connect.hashblock/rag-vs-agents-retrieval-reasoning-or-both-80ceb0cc341b | |||
| 11:00 | Your LLM Is Streaming to Nobody: How to Handle Client Disconnects in FastAPI https://medium.com/@shimovolos.stas/your-llm-is-streaming-to-nobody-how-to-handle-client-disconnects-in-fastapi-8cdf8c5d519e | |||
| 10:44 | A New Hope for Operating Systems https://medium.com/@atabarezz/a-new-hope-for-operating-systems-955f17841645 | |||
| 10:44 | What is feature engineering, and why is it important in AI/ML models? https://medium.com/@shyamtechnologieshyd/what-is-feature-engineering-and-why-is-it-important-in-ai-ml-models-12a50b7c8900 | |||
| 10:38 | AI Year Review 2025 https://medium.com/researchable/ai-year-review-2025-f9dd082d02e5 | |||
| 10:36 | mcp-cli: A Lightweight CLI for Model Context Protocol Servers https://medium.com/@rishabhtripathi1/mcp-cli-a-lightweight-cli-for-model-context-protocol-servers-64308e5953c5 | |||
| 10:34 | What Is RAG: Types, Capabilities And Their Role in AI Application Development https://medium.com/@Cannyfore__/what-is-rag-types-capabilities-and-their-role-in-ai-application-development-a407e1158727 | |||
| 10:02 | Demystifying the AI Era https://medium.com/@sergey.podgorny/demystifying-the-ai-era-cda8e46f0cca | |||
| 08:40 | Certifications for robots or models! Artificial Specialized Intelligence! Why one model fits all? https://medium.com/@nidhikayadav/certifications-for-robots-or-models-artificial-specialized-intelligence-why-one-model-fits-all-fb08b2441cd1 | |||
| 08:35 | Stop Building Dumb AI Apps: Here’s How LangGraph Turns Your Agents Into Decision-Making Machines https://medium.com/write-a-catalyst/stop-building-dumb-ai-apps-heres-how-langgraph-turns-your-agents-into-decision-making-machines-dc6048e6fd48 | |||
| 08:28 | I Fine-Tuned Llama 3 to Write Like Me. It Only Cost . https://medium.com/write-a-catalyst/i-fine-tuned-llama-3-to-write-like-me-it-only-cost-3-403f7c3bbce2 | |||
| 08:23 | Logical Constraint as the Engine of Scientific Progress https://medium.com/@kosi.gramatikoff/logical-constraint-as-the-engine-of-scientific-progress-bb7336a30608 | |||
| 08:21 | What AI Search Is Really Saying About Your Brand and How to Measure It? https://medium.com/@ishan_45811/what-ai-search-is-really-saying-about-your-brand-and-how-to-measure-it-a6d6f4ce62e3 | |||
| 08:12 | Spec-driven, contract-driven & factories. When code lives the repositorie https://medium.com/@gedeon.dominguez/spec-driven-contract-driven-factories-when-code-lives-the-repositorie-0b7e76db6b1c | |||
| 08:01 | The AI Hiring Revolution: Why Resumes Are Dead and Portfolios Rule https://medium.com/@opiaaustin/the-ai-hiring-revolution-why-resumes-are-dead-and-portfolios-rule-d753eb5b5752 | |||
| 08:01 | Why your digital library system needs a knowledge graph: building offline document intelligence https://autognosi.medium.com/why-your-digital-library-system-needs-a-knowledge-graph-building-offline-document-intelligence-ed856c8f4195 | |||
| 07:52 | API vs MCP: Understanding the Shift From Developer Tools to AI Agents https://medium.com/@muhammad.haseeb/api-vs-mcp-understanding-the-shift-from-developer-tools-to-ai-agents-6567c79b85c8 | |||
| 07:51 | Is the AI “Honeymoon Phase” Over? Why LLMs Get Lazier Over Time https://medium.com/@ayhanbzkrt/is-the-ai-honeymoon-phase-over-why-llms-get-lazier-over-time-3c216b0d2286 | |||
| 07:38 | Why Your AI Agent Will Never See Production https://minurakariyawasam.medium.com/why-your-ai-agent-will-never-see-production-a31f4eeb3587 | |||
| 07:14 | Boosting Your Development Workflow with Claude Code: A Practical Guide for Full‑Stack ML Engineers https://iamdgarcia.medium.com/boosting-your-development-workflow-with-claude-code-a-practical-guide-for-full-stack-ml-engineers-d999221cf764 | |||
| 07:13 | DGrid X Dechat: Powering Socialfi with Verifiable Intelligence https://medium.com/@dgrid_ai/dgrid-x-dechat-powering-socialfi-with-verifiable-intelligence-e8e4288f6933 | |||
| 07:08 | The LiteLLM alternative you didn’t know you needed https://ksramalakshmi.medium.com/the-litellm-alternative-you-didnt-know-you-needed-1069993fd1c6 | |||
| 07:07 | Building Enterprise Chatbots with a Unified AI Platform https://medium.com/@mercuryai0705/building-enterprise-chatbots-with-a-unified-ai-platform-e4b2285263bf | |||
| 07:05 | I Tried NeuTTS Air on My Laptop… and It Changed How Local TTS Feels https://ai.plainenglish.io/i-tried-neutts-air-on-my-laptop-and-it-changed-how-local-tts-feels-7d2a2abff870 | |||
| 07:05 | From Prompts to Pipelines: Engineering LLM Systems https://ai.plainenglish.io/from-prompts-to-pipelines-engineering-llm-systems-9df4192b54d9 | |||
| 07:05 | How I Used Azure OpenAI to Generate Python Unit Tests Automatically https://ai.plainenglish.io/how-i-used-azure-openai-to-generate-python-unit-tests-automatically-c9a335c9e8b3 | |||
| 07:01 | Key Features to Expect from Expert LLM Development Services https://ai.plainenglish.io/key-features-to-expect-from-expert-llm-development-services-88d1bb854369 | |||
| 06:46 | Building Production-Grade AI Travel Agents in 2026: From LangChain to Real-World Deployment https://jinlow.medium.com/building-production-grade-ai-travel-agents-in-2026-from-langchain-to-real-world-deployment-6d2e79c96353 | |||
| 06:46 | Building Production-Grade AI Travel Agents in 2026: From LangChain to Real-World Deployment https://medium.com/codex/building-production-grade-ai-travel-agents-in-2026-from-langchain-to-real-world-deployment-6d2e79c96353 | |||
| 06:39 | The Context Window Is Dead, How Recursive Language Models Process 10 Million Tokens Without… https://medium.com/@cognidownunder/the-context-window-is-dead-how-recursive-language-models-process-10-million-tokens-without-b71699caa58d | |||
| 05:30 | Nous Research Releases NousCoder-14B: A Competitive Olympiad Programming Model Post-Trained on Qwen3-14B via Reinforcement Learning https://www.marktechpost.com/2026/01/18/nous-research-releases-nouscoder-14b-a-competitive-olympiad-programming-model-post-trained-on-qwen3-14b-via-reinforcement-learning/ | |||
| 04:40 | From Embeddings to Intelligence: Vector Aggregate Functions in Snowflake https://medium.com/@krish.srinivasans/from-embeddings-to-intelligence-vector-aggregate-functions-in-snowflake-4a6b3cf025a9 | |||
| 04:26 | Brass Tacks: How AI affects our SaaS https://geoff-fite.medium.com/brass-tacks-how-ai-affects-our-saas-0e6414b963c8 | |||
| 04:26 | Brass Tacks: How AI affects our SaaS https://medium.com/finx-capital-markets/brass-tacks-how-ai-affects-our-saas-0e6414b963c8 | |||
| 04:20 | Retrieval and Augmentation in RAG: Designing Trustworthy Intelligence for Healthcare https://medium.com/@hrishita.panjetha/retrieval-and-augmentation-in-rag-designing-trustworthy-intelligence-for-healthcare-747ff9ebf0f5 | |||
| 04:18 | Understanding GRPO: The Algorithm Behind the New Wave of Reasoning Models https://nkwrites.medium.com/understanding-grpo-the-algorithm-behind-the-new-wave-of-reasoning-models-f7e4505a59b5 | |||
| 04:10 | Small AI Features — FormValidator https://medium.com/@_sizer/small-ai-features-formvalidator-0286397885d9 | |||
| 04:03 | GLM-4.7 VRAM Requirements Explained: Run Locally, on Novita GPU Cloud, or via API https://medium.com/@marketing_novita.ai/glm-4-7-vram-requirements-explained-run-locally-on-novita-gpu-cloud-or-via-api-12c39ade6921 | |||
| 03:46 | Why Agent Loops Fail Without Guardrails and How Production Systems Fix It https://medium.com/@ranju.r/why-agent-loops-fail-without-guardrails-and-how-production-systems-fix-it-12a49985176a | |||
| 03:46 | From 4K to 1M Tokens: The Technical Journey of Long-Context Language Models https://medium.com/@tjagadeeshc/from-4k-to-1m-tokens-the-technical-journey-of-long-context-language-models-60f2acddbb2b | |||
| 03:32 | When Stack Overflow Goes Quiet, How Will AI Learn to Code? https://medium.com/@pgvetrivel/when-stack-overflow-goes-quiet-how-will-ai-learn-to-code-cf33ef0bedb3 | |||
| 03:32 | TranslateGemma — A Banger from Google https://mayur-ds.medium.com/translategemma-a-banger-from-google-a0696674f824 | |||
| 03:29 | Show HN: A 6.9B Moe LLM in Rust, Go, and Python https://github.com/fumi-engineer/machine_learning | |||
| 03:24 | Why Your Fake Data Is Failing You — And How to Generate Smarter Synthetic Datasets https://medium.com/@ahmedibrahim_71289/why-your-fake-data-is-failing-you-and-how-to-generate-smarter-synthetic-datasets-05e0325d3ecd | |||
| 03:09 | Oh, does the selection of inappropriate evaluation metrics lead to complaints from users? https://sumitkrsharma-ai.medium.com/oh-does-the-selection-of-inappropriate-evaluation-metrics-lead-to-complaints-from-users-02ba6d471521 | |||
| 03:04 | 【From Zero】Chapter 6 — Improving RAG Answer Accuracy with RAGChecker https://medium.com/@yzh0623/from-zero-chapter-6-improving-rag-answer-accuracy-with-ragchecker-367576d58c4f | |||
| 03:01 | You’ve Got A Friend in Me: LLM Edition https://medium.com/ds3ucsd/youve-got-a-friend-in-me-llm-edition-bbccc55fdf2f | |||
| 02:56 | Unlock Insights from Your Data Instantly with PardusAI! https://medium.com/@kellysithl03/unlock-insights-from-your-data-instantly-with-pardusai-86e669b2eef0 | |||
| 02:39 | Inside JEPA: How Joint-Embedding Prediction Works https://medium.com/@yusefulum/inside-jepa-how-joint-embedding-prediction-works-c167442cae63 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124