LLM News and Articles
| Sunday, 2026-01-11 | ||||
| 22:24 | Quantum AI And The Tibetan Book Of The Dead: A Beginner’s Guide To Consciousness, Death, And… https://medium.com/@ferreradaniel/quantum-ai-and-the-tibetan-book-of-the-dead-a-beginners-guide-to-consciousness-death-and-1690f5f81e82 | |||
| 22:23 | Ditching the Cloud: Building a Privacy-First Local LLM Integration for Production https://medium.com/@aguechfirass100/ditching-the-cloud-building-a-privacy-first-local-llm-integration-for-production-81a5bb228c7c | |||
| 22:17 | Hello Agentic AI: Plan-and-Execute Pattern https://medium.com/@alessandro.a.pagliaro/hello-agentic-ai-plan-and-execute-pattern-03ef9dd67b32 | |||
| 21:57 | A Developer’s Guide to Effective Prompt Engineering for AI https://medium.com/@2012ankitkmr/a-developers-guide-to-effective-prompt-engineering-for-ai-023923f1e45d | |||
| 21:52 | The Quantization Trap: Why Native bfloat16 Outperforms 4-bit on A100s and Apple Silicon https://medium.com/@ac11274/the-quantization-trap-why-native-bfloat16-outperforms-4-bit-on-a100s-and-apple-silicon-30837ec96a97 | |||
| 21:27 | Some of Anthropic rugpulls since August 2025 https://twitter.com/TheAhmadOsman/status/2009713388084179122 | |||
| 21:02 | From Keywords to Intent: How AI Learned to Understand What You’re Searching For https://medium.com/@mu.ammad.ud.din/from-keywords-to-intent-how-ai-learned-to-understand-what-youre-searching-for-0d7baa83524d | |||
| 20:27 | The Third Space, Part I: When a Conversation Becomes an Accumulative System https://medium.com/@anna.wojewodzka/the-third-space-part-i-when-a-conversation-becomes-an-accumulative-system-537473f181be | |||
| 20:26 | COMPARATIVE EVALUATION OF AI MODELS IN SOFTWARE DEVELOPMENT LIFE CYCLE https://medium.com/@m.m.ungureanu00/comparative-evaluation-of-ai-models-in-software-development-life-cycle-fb9e78cb3d27 | |||
| 20:02 | Escaping Model Lock-In: The Case for Multi-Model & Compliant Coding with OpenCode https://pub.towardsai.net/escaping-model-lock-in-the-case-for-multi-model-compliant-coding-with-opencode-c1178dfe87e7 | |||
| 20:02 | Systematically generating tests that would have caught Anthropic's top‑K bug https://theorem.dev/blog/anthropic-bug-test/ | |||
| 19:55 | Running Microsoft’s New Agent Framework with Local LLMs on AKS https://medium.com/@bayzid026/running-microsofts-new-agent-framework-with-local-llms-on-aks-09bb959c7ae0 | |||
| 19:41 | Will GenAI stop creation of new knowledge on Internet? https://medium.com/@yaroslavpaslavskiy/will-genai-stop-creation-of-new-knowledge-on-internet-b78b422ffd5e | |||
| 19:36 | Case Study: Solving Google’s “Tail at Scale” on a Legacy “Frankenstein” Cluster https://medium.com/@johnhosg/case-study-solving-googles-tail-at-scale-on-a-legacy-frankenstein-cluster-88bbfdc2c2e0 | |||
| 19:19 | Agentic AI Doesn’t Fail in Production — Our System Design Does https://medium.com/@aryan.nagpal9/agentic-ai-doesnt-fail-in-production-our-system-design-does-45f9d178e36c | |||
| 19:07 | Anthropic: Developing a Claude Code competitor using Claude Code is banned https://twitter.com/SIGKITTEN/status/2009697031422652461 | |||
| 19:02 | Why Can’t GPT-4 Play Tic-Tac-Toe? The “1D Paradox” of LLMs https://medium.com/@marcomattiucci/why-cant-gpt-4-play-tic-tac-toe-the-1d-paradox-of-llms-c08b63363337 | |||
| 19:00 | Hypergraph Data Modelling for Enhanced Contextuality in Retrieval-Augmented Generation… https://medium.com/@ab.ashique10/hypergraph-data-modelling-for-enhanced-contextuality-in-retrieval-augmented-generation-38db53d68074 | |||
| 18:47 | Engineers in 2026 Won’t Be Hired for Syntax. They’ll Be Hired for Leverage https://blog.dataengineerthings.org/engineers-in-2026-wont-be-hired-for-syntax-they-ll-be-hired-for-leverage-42082c349daa | |||
| 18:22 | 6 Types of LLM’s powering AI Agents Today(2026 Guide) https://lekha-bhan88.medium.com/6-types-of-llms-powering-ai-agents-today-2026-guide-8d8b1110dcc7 | |||
| 18:16 | Retrieval-Augmented Generation (RAG): Foundations and Core Concepts (Part 1) https://medium.com/@rrahulrajgiri15/retrieval-augmented-generation-rag-foundations-and-core-concepts-part-1-0f3d9c5a5a7e | |||
| 18:10 | AI Essentials Explained: From Generative AI to Agentic AI — How AI, NLP, LLMs, and GPTs Actually… https://medium.com/@TechContentTech/ai-essentials-explained-from-generative-ai-to-agentic-ai-how-ai-nlp-llms-and-gpts-actually-56c934db5dd6 | |||
| 18:02 | 5 Ways to Get the Best Out of LLM Inference https://pub.towardsai.net/5-ways-to-get-the-best-out-of-llm-inference-23c604351570 | |||
| 17:51 | Stop Burning LLM Tokens on Repeat Queries — Cache Smarter. Think Semantic https://medium.com/@choudharys710/stop-burning-llm-tokens-on-repeat-queries-cache-smarter-think-semantic-88fa2771687c | |||
| 16:44 | The Pioneer of Transformers: How Seq2Seq Started the LLM Revolution https://medium.com/@abhirupiitism/the-pioneer-of-transformers-how-seq2seq-started-the-llm-revolution-3d6424eae450 | |||
| 16:27 | Generative AI & Large Language Models: The Silent Revolution Changing How We Think, Work, and… https://medium.com/@saura_22289/generative-ai-large-language-models-the-silent-revolution-changing-how-we-think-work-and-1e3a24605c58 | |||
| 16:27 | I Stopped Obsessing Over Bounce Rate And Focused On Dwell Time https://medium.com/@sonalisood0/i-stopped-obsessing-over-bounce-rate-and-focused-on-dwell-time-554e793e3f12 | |||
| 16:26 | The EU AI Act Explained: Scope, Risk Categories, and Responsibilities Across the AI Value Chain https://medium.com/@janandrusikiewicz/the-eu-ai-act-explained-scope-riskcategories-and-responsibilities-across-the-ai-value-chain-b7227e1efd0a | |||
| 16:22 | Handing over to AGI to Avoid Civilization Collapse https://medium.com/@don-lim/handing-over-to-agi-to-avoid-civilization-collapse-2975fd254e71 | |||
| 16:19 | Mastering Agentic AI Agents: A Progressive Syllabus https://medium.com/@sureshdotariya/mastering-agentic-ai-agents-a-progressive-syllabus-89cfb6294d9d | |||
| 16:17 | Basic RAG Demo With LLM and Vector Database https://ngcheehou.medium.com/basic-rag-demo-with-llm-and-vector-database-304c2a33f7e3 | |||
| 16:07 | Deploying Mistral LLM on AWS SageMaker with MLFlow: A Complete Guide to Private, Scalable AI-Part1 https://medium.com/@sanjeebmeister/deploying-mistral-llm-on-aws-sagemaker-with-mlflow-a-complete-guide-to-private-scalable-ai-part1-488a0b8bab82 | |||
| 16:06 | DeepSeek-V3 vs GPT-4o: The Coding Showdown That Changed Everything https://medium.com/@premchandak_11/deepseek-v3-vs-gpt-4o-the-coding-showdown-that-changed-everything-fee535e9d389 | |||
| 16:02 | Stop Wasting GPU Cycles: The Evolution of LLM Inference & Continuous Batching https://medium.com/@dhirajchavan355/stop-wasting-gpu-cycles-the-evolution-of-llm-inference-continuous-batching-d7166714f0f9 | |||
| 15:10 | Evaluation Is a Feature: Measuring AI Systems Beyond Accuracy https://medium.com/@93Kryptonian/evaluation-is-a-feature-measuring-ai-systems-beyond-accuracy-eb947b18b04d | |||
| 15:04 | The Next Generation Will Figure Out AI. But What About Us? https://oluwasegunakinshola.medium.com/the-next-generation-will-figure-out-ai-but-what-about-us-2327acc5b718 | |||
| 15:03 | AI in 2026 will get smarter by getting constrained https://pub.towardsai.net/ai-in-2026-will-get-smarter-by-getting-constrained-017667480e1f | |||
| 14:40 | Collaborative AI: When One Model Isn’t Enough https://medium.com/@jickpatel611/collaborative-ai-when-one-model-isnt-enough-3cdcd975b86f | |||
| 14:36 | Plug-and-Play Intelligence: Why LLM Plugins Matter https://medium.com/@Praxen/plug-and-play-intelligence-why-llm-plugins-matter-4d0218dbefaa | |||
| 14:31 | My Journey with AI: From Skeptic to Startup Power-User https://medium.com/@medazizbenhmidene/my-journey-with-ai-from-skeptic-to-startup-power-user-8e6fe2f6e3da | |||
| 14:23 | When Systems Still Work but drift towards failure https://medium.com/@arijitchatterjee81/when-systems-still-work-but-drift-towards-failure-d5ecdecab983 | |||
| 14:20 | Meet Berke’s AI Agent: How I Built an AI Assistant for My Personal Website https://medium.com/@berkekran/meet-berkes-ai-agent-how-i-built-an-ai-assistant-for-my-personal-website-64cb4c423326 | |||
| 14:15 | LLMs Breakthrough in 2025 https://sherpadipen71.medium.com/llms-breakthrough-in-2025-12c0e16a5681 | |||
| 14:03 | RAG Nedir ve Neden Birçok Kurumda Bekleneni Vermez? https://barisakdas.medium.com/rag-nedir-ve-neden-bir%C3%A7ok-kurumda-bekleneni-vermez-e49ebf991d0d | |||
| 13:08 | Spatial Reasoning in Language Models: Unexpected Capabilities and Structural Limits https://thegoodprogrammer.medium.com/spatial-reasoning-in-language-models-unexpected-capabilities-and-structural-limits-bd856dac99cd | |||
| 12:54 | Your AI Agent “Passes” Evaluation — But Still Behaves Badly https://medium.com/@swati.pandey.1223/your-ai-agent-passes-evaluation-but-still-behaves-badly-9282bcbe7614 | |||
| 12:44 | LLM poetry and the "greatness" question: Experiments by Gwern and Mercor https://hollisrobbinsanecdotal.substack.com/p/llm-poetry-and-the-greatness-question | |||
| 12:37 | The 404 Phenomenon: Why Scale is the Antidote to “Link Rot” in Large Language Models https://medium.com/@anil_iitkgp/the-404-phenomenon-why-scale-is-the-antidote-to-link-rot-in-large-language-models-3dad392c6e32 | |||
| 12:32 | AGI Hunt: Are Agents the Missing Piece? https://medium.com/@1nick1patel1/agi-hunt-are-agents-the-missing-piece-4445f3b2a1fa | |||
| 12:29 | Using GenAI & Traditional ML for Anomaly Detection https://medium.com/@satadru1998/using-genai-traditional-ml-for-anomaly-detection-8e3b1a57ba34 | |||
| 12:27 | How I Made Vector Search 5x Faster with Matryoshka Embeddings https://medium.com/modelmind/how-i-made-vector-search-5x-faster-with-matryoshka-embeddings-d0e4c2521236 | |||
| 12:04 | RAG From Scratch: Overview & Pipeline https://ai.plainenglish.io/rag-from-scratch-overview-pipeline-940a45c30e8f | |||
| 11:51 | Can you reinvent yourself as a Product Manager using AI? https://medium.com/@demonhost1/can-you-reinvent-yourself-as-a-product-manager-using-ai-eb010bf46fa4 | |||
| 11:43 | Hybrid OCR-LLM: Not a Bigger Model, but a Smarter Pipeline https://medium.com/ai-exploration-journey/hybrid-ocr-llm-not-a-bigger-model-but-a-smarter-pipeline-b7fed03b83fd | |||
| 11:42 | Forget RAG: Graph RAG is Leading OpenAI, Microsoft and Anthropic https://medium.com/coding-nexus/forget-rag-graph-rag-is-leading-openai-microsoft-and-anthropic-f7ec3e1abe74 | |||
| 11:18 | You don’t need an AI Agent https://levelup.gitconnected.com/you-dont-need-an-ai-agent-22158139d180 | |||
| 11:01 | Do Transformers Have a Ceiling? https://medium.com/@Modexa/do-transformers-have-a-ceiling-616f812bc078 | |||
| 10:58 | Do I really need to know LangChain? https://medium.com/youcanautomate/do-i-really-need-to-know-langchain-8e89cfc81618 | |||
| 10:58 | Spring AI 101: Unlocking the Model Context Protocol (MCP) — Standardizing AI Tools https://mohankumarsagadevan.medium.com/spring-ai-101-unlocking-the-model-context-protocol-mcp-standardizing-ai-tools-8369e498e273 | |||
| 10:42 | Anthropic’s Claude Max Clampdown on Unlimited Access: Lessons in AI Sustainability https://medium.com/coding-nexus/anthropics-claude-max-clampdown-on-unlimited-access-lessons-in-ai-sustainability-c51d82c46e0a | |||
| 10:36 | 4 Research Backed Prompt Optimization Techniques to Save Your Tokens https://medium.com/@koyelac/4-research-backed-prompt-optimization-techniques-to-save-your-tokens-ede300ec90dc | |||
| 10:26 | I Fixed My Copilot Token Usage by Understanding Claude https://saikomalpendela.medium.com/i-fixed-my-copilot-token-usage-by-understanding-claude-210b52ddded8 | |||
| 10:22 | Open WebUI: Self-Hosted LLM Interface https://medium.com/@rosgluk/open-webui-self-hosted-llm-interface-0e4c7565542d | |||
| 10:01 | We need constraints in Generative AI Models Now https://medium.com/@nidhikayadav/we-need-constraints-in-generative-ai-models-now-0a6c1bd39bbf | |||
| 08:44 | “Important Things Should Be Said Twice (or Three Times)” — A Surprisingly Powerful Prompt Trick… https://generativeai.pub/important-things-should-be-said-twice-or-three-times-a-surprisingly-powerful-prompt-trick-b57d642a1279 | |||
| 08:44 | “Important Things Should Be Said Twice (or Three Times)” — A Surprisingly Powerful Prompt Trick… https://createmomo.medium.com/important-things-should-be-said-twice-or-three-times-a-surprisingly-powerful-prompt-trick-b57d642a1279 | |||
| 08:44 | “Important Things Should Be Said Twice (or Three Times)” — A Surprisingly Powerful Prompt Trick… https://blog.gopenai.com/important-things-should-be-said-twice-or-three-times-a-surprisingly-powerful-prompt-trick-b57d642a1279 | |||
| 08:29 | Beyond a Goldfish’s Memory: How One Simple Idea is Revolutionizing AI Recall https://medium.com/@abhijairajawat/beyond-a-goldfishs-memory-how-one-simple-idea-is-revolutionizing-ai-recall-9a3d2f39af1e | |||
| 08:18 | Thinking with LLMs and Agents https://yigitozgumus.medium.com/thinking-with-llms-and-agents-10f3b15832fa | |||
| 08:10 | Part II: The Art of Data Preparation: Mastering Chunking Strategies for High-Performance RAG https://medium.com/@inkollusrivarsha0287/part-ii-the-art-of-data-preparation-mastering-chunking-strategies-for-high-performance-rag-71a88b759872 | |||
| 07:57 | Architecting for the “Agent Age”: How we built a Future-Proof MCP Server. https://medium.com/@juang294/architecting-for-the-agent-age-how-we-built-a-future-proof-mcp-server-5ad2c2456fcf | |||
| 07:50 | Why RAG Saves Companies 0M Annually: Real-World Examples https://denver44.medium.com/why-rag-saves-companies-150m-annually-real-world-examples-99e3a2f0eadd | |||
| 07:47 | The Sanitization of Intelligence https://tarekgara.medium.com/the-sanitization-of-intelligence-09e37a020355 | |||
| 07:36 | Would You Read J.R.R. Tolkien Feat. Grok? https://medium.com/write-a-catalyst/would-you-read-j-r-r-tolkien-feat-grok-ad8d45b541bc | |||
| 07:33 | Understanding RAG: The Architecture Behind 80% of AI Applications https://denver44.medium.com/understanding-rag-the-architecture-behind-80-of-ai-applications-7e90d5c5772b | |||
| 07:32 | LLM-Powered Chaos Engineering: Teaching AI to Break Your System https://medium.com/@SoftwareEngineering/llm-powered-chaos-engineering-teaching-ai-to-break-your-system-0d632361938d | |||
| 07:31 | Why Large Language Models (LLMs) Cannot Be State‑of‑the‑Art for Object Detection: A Mathematical… https://medium.com/@akhil5665/why-large-language-models-llms-cannot-be-state-of-the-art-for-object-detection-a-mathematical-4c20fd26a8c3 | |||
| 07:19 | Why “Reasoning” Demos Don’t Prove Reasoning https://medium.com/@zhytnyk.serhey/why-reasoning-demos-dont-prove-reasoning-20f534f96d70 | |||
| 06:49 | Stealing React Components With Full Functionality: Are We Ready For This Discussion? https://medium.com/coding-nexus/stealing-react-components-with-full-functionality-are-we-ready-for-this-discussion-7ff56953fad1 | |||
| 06:46 | AI might be training us to think backward, and as a biostatistician, I’ve felt it. https://medium.com/@jcanchola1264/ai-might-be-training-us-to-think-backward-and-as-a-biostatistician-ive-felt-it-1860c04d5dbd | |||
| 06:34 | Anthropic: Demystifying Evals for AI Agents https://www.anthropic.com/engineering/demystifying-evals-for-ai-agents | |||
| 06:25 | LLM Inference Optimization: Stop Wasting 50% of Compute https://mahimairaja.medium.com/llm-inference-optimization-stop-wasting-50-of-compute-2699e78f525a | |||
| 04:44 | Fine-Tuning Large Language Models https://medium.com/@vigneshkumar25/fine-tuning-large-language-models-464756e6f456 | |||
| 04:19 | The Naive Lion Pride Analogy: How academia stands toward AI-assisted research https://medium.com/@pe.lotoya93/the-naive-lion-pride-analogy-how-academia-stands-toward-ai-assisted-research-8bcf15edef20 | |||
| 04:02 | Why Most Machine Learning Models Never Survive Production https://medium.com/@pratikchaudhariworks/why-most-machine-learning-models-never-survive-production-179dfbe6a4f2 | |||
| 04:01 | Databases Adapt for Generative AI and Large Language Models https://medium.datadriveninvestor.com/databases-adapt-for-generative-ai-and-large-language-models-5a012c09e0d1 | |||
| 03:58 | TOON Prompting: Moving Past Natural Language and JSON to Token-Optimized Data https://medium.com/@sunilraopalkar/toon-prompting-moving-past-natural-language-and-json-to-token-optimized-data-2318aac6e8a8 | |||
| 03:58 | TOON Prompting: Moving Past Natural Language and JSON to Token-Optimized Data https://pub.towardsai.net/toon-prompting-moving-past-natural-language-and-json-to-token-optimized-data-2318aac6e8a8 | |||
| 03:58 | Deploy RAG on AWS: Complete Hands-On Guide (Part 2) https://medium.datadriveninvestor.com/deploy-rag-on-aws-complete-hands-on-guide-part-2-9b806b31b713 | |||
| 03:28 | THM-BankGPT Writeup Walkthrough https://medium.com/@sandeep18.privateemail/thm-bankgpt-writeup-walkthrough-4fc4fc5d604f | |||
| 03:15 | Architecting for Agentforce: Why Dumb Data Makes Smart Agents https://afigueiredo.medium.com/architecting-for-agentforce-why-dumb-data-makes-smart-agents-89ef08a58c17 | |||
| 03:02 | You should BMAD — part 1 https://adsantos.medium.com/you-should-bmad-part-1-63dbc45d162e | |||
| 02:38 | OpenAI is reportedly asking contractors to upload real work from past jobs https://techcrunch.com/2026/01/10/openai-is-reportedly-asking-contractors-to-upload-real-work-from-past-jobs/ | |||
| 02:30 | Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM https://shilpathota.medium.com/simplifying-root-cause-analysis-in-kubernetes-with-stategraph-and-llm-2df669420eb8 | |||
| 02:19 | AI Code Polisher — Turn Raw Code into Production-Ready Software With One Command https://medium.com/@suprajasrikanth872/ai-code-polisher-turn-raw-code-into-production-ready-software-with-one-command-d5a02ee3cfa5 | |||
| 02:04 | Mastering Retrieval-Augmented Generation (RAG): https://medium.com/@suprajasrikanth872/mastering-retrieval-augmented-generation-rag-ddc01e132323 | |||
| 02:01 | Market Signals at Speed: How AI Agents Balance Insight and Safety https://medium.com/@simhanaii/market-signals-at-speed-how-ai-agents-balance-insight-and-safety-bc44111b54ed | |||
| 01:58 | AI Periodic Table https://medium.com/@hassen.benchaaben01/ai-periodic-table-ed1696cb7c4c | |||
| 01:05 | ChatGPT Health has arrived https://medium.com/@surbhimeena002/chatgpt-health-has-arrived-6a7200faace0 | |||
| 00:18 | CSE291P Week1 https://medium.com/@k1kong/cse291p-week1-8a6fbef81f39 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124