LLM News and Articles
| Monday, 2026-04-13 | ||||
| 15:24 | AI has always been an infrastructure play. https://medium.com/ambient-research/ai-has-always-been-an-infrastructure-play-dbb5cc9faec8 | |||
| 14:46 | The Taohuayuan Paradigm Part 2: Why Vector Databases Are Not Real Memories https://medium.com/@smarthomemiles/the-taohuayuan-paradigm-part-2-why-vector-databases-are-not-real-memories-79000d979b20 | |||
| 14:43 | Microsoft Just Dropped Three New AI Models (And They Are Surprisingly Fast) https://medium.com/data-science-collective/microsoft-just-dropped-three-new-ai-models-and-they-are-surprisingly-fast-1d37d680aab2 | |||
| 14:42 | Designing Modular LLM Systems with LangChain: Prompts, Chains, Agents, and RAG https://medium.com/@andanaparitosh/designing-modular-llm-systems-with-langchain-prompts-chains-agents-and-rag-9a5ab3c63bc2 | |||
| 14:24 | OpenAI touts AWS alliance, says Microsoft has 'limited our ability' https://www.cnbc.com/2026/04/13/openai-touts-amazon-alliance-in-memo-microsoft-limited-our-ability.html | |||
| 14:12 | LLM is a compiler, not a runtime https://getpocketbot.com/blog/llm-compiler-not-runtime | |||
| 13:31 | Apps Inside LLMs: When Answers Become Actions https://medium.com/metric-centric/apps-inside-llms-when-answers-become-actions-924d5b5494e3 | |||
| 13:31 | Exploring the Spectrum: Machine Learning and Deep Learning Model Categories Compared https://mrgulshanyadav.medium.com/exploring-the-spectrum-machine-learning-and-deep-learning-model-categories-compared-be03cdb34ed1 | |||
| 13:16 | Integrating AI Consulting Recommendations into Your Existing OpenAI or Claude Setup https://medium.com/@dojolabs.main/integrating-ai-consulting-recommendations-into-your-existing-openai-or-claude-setup-e0d1c0ab3182 | |||
| 12:20 | Top 10 LLM Development Companies in 2026 Powering Future-Ready AI https://medium.com/@david.wilson.digital/top-10-llm-development-companies-in-2026-powering-future-ready-ai-efe625e3404e | |||
| 12:19 | Cursor Agent is Anthropic's Claude Code SDK running behind a local HTTP proxy https://gist.github.com/jasonkneen/4c065df2d7a95610e4fd30c3e3398b17 | |||
| 11:57 | Your LLM Is Lying to You in Production — Here’s How to Catch It https://medium.com/@dmanirk07/your-llm-is-lying-to-you-in-production-heres-how-to-catch-it-e20b008367c1 | |||
| 11:55 | Why LLMs Can’t “Just Know Your Data” https://medium.com/@stoic.engineer/why-llms-cant-just-know-your-data-2079c07db1b9 | |||
| 11:51 | Introduction: The Bare-Metal Manifesto (Part 0) https://medium.com/@gnagasamy/introduction-the-bare-metal-manifesto-part-0-a31ea1970e02 | |||
| 11:46 | Probable Worlds vs. Possible Worlds: Moving Beyond the “Next Word” Myth in AI Design https://aiinuxdesign.medium.com/probable-worlds-vs-possible-worlds-moving-beyond-the-next-word-myth-in-ai-design-d0e7c5d77964 | |||
| 11:34 | From Plausible AI to Explainable AI https://medium.com/ai-pace/from-plausible-ai-to-explainable-ai-d90fb4d3026c | |||
| 11:31 | Context and Memory for Agents on Databricks https://medium.com/@philipp.tiefenbacher_42173/context-and-memory-for-agents-on-databricks-f3c945cd8681 | |||
| 11:30 | The Complete LLM Application Development Guide for 2026 https://medium.com/@kathy_3180/the-complete-llm-application-development-guide-for-2026-903241739c3b | |||
| 11:29 | How to Track LLM Costs and Rate Limits on AWS Bedrock with an AI Gateway https://medium.com/@pranaybatta2014/how-to-track-llm-costs-and-rate-limits-on-aws-bedrock-with-an-ai-gateway-885eb5f3a4a8 | |||
| 11:26 | Designing LLM Applications with LangChain: A Deep Technical Guide for Modern AI Systems https://medium.com/@supriyabhat0604/designing-llm-applications-with-langchain-a-deep-technical-guide-for-modern-ai-systems-fc8846169226 | |||
| 11:21 | We’re Shipping Code Faster Than Ever. Nobody Understands What It Does. https://medium.com/@nakshatra_garg_/were-shipping-code-faster-than-ever-nobody-understands-what-it-does-e4a93858066e | |||
| 10:52 | Your LLM Has No Frontal Lobe. That Is the Whole Problem. https://medium.com/@csharikrishna/your-llm-has-no-frontal-lobe-that-is-the-whole-problem-724d73413543 | |||
| 10:44 | Beyond Karpathy's LLM-Wiki: The Necessity of Cognitive Governance https://www.jonadas.com/writing/essays/beyond-karpathys-llm-wiki | |||
| 10:43 | Scaling LLM Complexity: A Deep Dive into LangChain Orchestration https://medium.com/@kokaterushik/scaling-llm-complexity-a-deep-dive-into-langchain-orchestration-490eba4b1c03 | |||
| 10:26 | Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders https://www.msn.com/en-us/news/us/can-ai-be-a-child-of-god-inside-anthropic-s-meeting-with-christian-leaders/ar-AA20Eb2w | |||
| 10:25 | He Clicked “Send”… and 5 Invisible Things Happened in 1 Second https://vinitpahwa.medium.com/he-clicked-send-and-5-invisible-things-happened-in-1-second-bb5b4957c395 | |||
| 10:00 | Stop Building AI Tools. Start Breeding “New Species”: Why LLMs Need a Physical Hometown https://medium.com/@smarthomemiles/stop-building-ai-tools-start-breeding-new-species-why-llms-need-a-physical-hometown-05bbf24f26d4 | |||
| 09:45 | Why the Same Prompt Doesn’t Work the Same Way on Claude, GPT, and Gemini https://medium.com/@denizzay/why-the-same-prompt-doesnt-work-the-same-way-on-claude-gpt-and-gemini-b0d9c8229bdb | |||
| 09:09 | Introduction to data science Part 41: Why Beyoncé Can Never Beat Tony Starks https://medium.com/@cele2emmanuel/introduction-to-data-science-part-41-why-beyonc%C3%A9-can-never-beat-tony-starks-871efb57f6de | |||
| 07:47 | The Model Is Not the Problem. The System Around It Is. https://pub.towardsai.net/the-model-is-not-the-problem-the-system-around-it-is-34c4fe243692 | |||
| 07:33 | LangChain Isn’t Just a Wrapper: Here’s What’s Actually Going On https://medium.com/@dhanushj12345/langchain-isnt-just-a-wrapper-here-s-what-s-actually-going-on-643b81cf501a | |||
| 07:31 | How Personalized Coaching Enhances Employee Experience in Contact Centers https://medium.com/@max.s_33396/how-personalized-coaching-enhances-employee-experience-in-contact-centers-5936d3f24bb7 | |||
| 07:31 | Memory in AI Systems — Short-Term vs Long-Term https://arvita-writes.medium.com/memory-in-ai-systems-short-term-vs-long-term-ed9d1f5504fb | |||
| 07:24 | LangChain: The Engineer’s Complete Guide to Building LLM Applications https://medium.com/@piyushborse29/langchain-the-engineers-complete-guide-to-building-llm-applications-32edc6cc85f0 | |||
| 07:12 | AI Agents in 2026: The Rise of Autonomous AI https://medium.com/@pkitukale7869/ai-agents-in-2026-the-rise-of-autonomous-ai-15b54eaa41d9 | |||
| 07:04 | The Last Generation of Data Engineers? https://medium.com/@reliabledataengineering/the-last-generation-of-data-engineers-e095cd5437b2 | |||
| 07:03 | Adam’s Law: The Hidden Textual Frequency Cheat Code for LLMs https://towardsdev.com/adams-law-the-hidden-textual-frequency-cheat-code-for-llms-f5834a75690e | |||
| 07:03 | The Harness Is Everything https://medium.com/@reliabledataengineering/the-harness-is-everything-a4114e8a54d1 | |||
| 07:01 | Why Your Next LLM Might Run Out of Memory (And How TurboQuant Fixes It) https://medium.com/@amarnathmahato109/why-your-next-llm-might-run-out-of-memory-and-how-turboquant-fixes-it-71779598a049 | |||
| 06:59 | GSTR-9 Annual Return Made Easy: How to Prepare It Directly from Your Invoice Data https://medium.com/@mery43651/gstr-9-annual-return-made-easy-how-to-prepare-it-directly-from-your-invoice-data-749cbc91035e | |||
| 06:56 | Building a Production-Grade Local RAG Pipeline — 100% Free, No Cloud Required https://medium.com/@abhirup.pal93/building-a-production-grade-local-rag-pipeline-100-free-no-cloud-required-8d172e929623 | |||
| 06:51 | Fine-Tuning an LLM on Your Own Data: The Complete No-Fluff Guide https://medium.com/@mehdibafdil/fine-tuning-an-llm-on-your-own-data-the-complete-no-fluff-guide-c5a18e859538 | |||
| 06:48 | LangChain Demystified: How to Build Intelligent LLM Applications the Right Way https://medium.com/@moinuddin1416shaik/langchain-demystified-how-to-build-intelligent-llm-applications-the-right-way-b1796b6a0741 | |||
| 06:40 | ChatGPT praises mood and 'bedroom/DIY texture' of fart sounds https://www.pcgamer.com/software/ai/chatgpt-will-praise-the-mood-and-bedroom-diy-texture-of-fart-sounds-pulled-from-youtube/ | |||
| 06:30 | Is Generative AI a Platform? Yes. And It Is Unlike Any Platform That Has Come Before. https://medium.com/@pbrajesh/is-generative-ai-a-platform-yes-and-it-is-unlike-any-platform-that-has-come-before-55137f9ea53c | |||
| 06:01 | There is a Meaningful Difference between Context & Instruction https://cobusgreyling.medium.com/there-is-a-meaningful-difference-between-context-instruction-49969f69464b | |||
| 05:21 | I Let AI Start Coding Immediately… and Regretted It in 10 Minutes https://vinitpahwa.medium.com/i-let-ai-start-coding-immediately-and-regretted-it-in-10-minutes-6b31b7986e61 | |||
| 03:56 | Mastering LangChain: Building Production-Ready LLM Applications https://medium.com/@vt6267700/mastering-langchain-building-production-ready-llm-applications-a099db2703f8 | |||
| 03:52 | Step-by-Step Guide: Integrate DGrid with Junie CLI https://medium.com/@dgrid_ai/step-by-step-guide-integrate-dgrid-with-junie-cli-678d3c21e598 | |||
| 03:48 | Auto-Generate Wiki Documentation from Databricks Notebooks using AI (PySpark + LLM) https://medium.com/@muthu.bharanidharan/auto-generate-wiki-documentation-from-databricks-notebooks-using-ai-pyspark-llm-2efc29d0347f | |||
| 03:47 | The Journey to Find The Best Sparse and Dense Embedding Model (Aprik 2026) https://medium.com/@arya.kusuma_6776/the-journey-to-find-the-best-sparse-and-dense-embedding-model-aprik-2026-7bd9c2b32e10 | |||
| 03:46 | Topology of Ideas: When Thoughts Stop Being Lines and Start Becoming Landscapes https://medium.com/@swarupmantripragada/topology-of-ideas-when-thoughts-stop-being-lines-and-start-becoming-landscapes-9cd118f62afc | |||
| 03:23 | Deep Technical Guide to LangChain: Building Modular LLM Applications with Python https://medium.com/@heesha1503/deep-technical-guide-to-langchain-building-modular-llm-applications-with-python-f6b59056dc3c | |||
| 03:14 | The Three Brains of Modern Computing: CPU vs GPU vs NPU (And Why It Matters for AI) https://medium.com/@theredbeardguy/the-three-brains-of-modern-computing-cpu-vs-gpu-vs-npu-and-why-it-matters-for-ai-ecf7e51761f7 | |||
| 03:05 | OxiBonsai: The World’s First Pure Rust 1-Bit LLM Inference Engine https://kitasanio.medium.com/oxibonsai-the-worlds-first-pure-rust-1-bit-llm-inference-engine-4c15abf53fce | |||
| 03:01 | A Small Company From China Shook the Entire AI World. Here Is What Nobody Told You. https://medium.com/@gagandhanapune/a-small-company-from-china-shook-the-entire-ai-world-here-is-what-nobody-told-you-cd2ad8082513 | |||
| 03:00 | I Tested 20+ LLMs for Coding Tasks — Only 5 Actually Worked https://medium.com/@rosgluk/i-tested-20-llms-for-coding-tasks-only-5-actually-worked-3ca40f2a125d | |||
| 02:45 | Before you build an agent, design the job https://medium.com/@gallaghersam95/before-you-build-an-agent-design-the-job-05388c0cbdfb | |||
| 02:44 | Proximal Policy Optimization (PPO) from Background to Full Implementation https://medium.com/@talhazaidi131313/proximal-policy-optimization-from-first-principles-61165b42d846 | |||
| 02:39 | Building an SLM from Scratch: A Journey That 1,100+ Learners Joined https://devopslearning.medium.com/building-an-slm-from-scratch-a-journey-that-1-100-learners-joined-1c3d9fd8b444 | |||
| 02:08 | When Models Mistake Approval for Evidence: Epistemic Independence in Language Models https://medium.com/@misskhan/when-models-mistake-approval-for-evidence-epistemic-independence-in-language-models-fc1dcb9859c8 | |||
| Sunday, 2026-04-12 | ||||
| 23:46 | The Inference Stack: Routing and Serving Layers for LLMs in Production https://medium.com/paralleliq/the-inference-stack-routing-and-serving-layers-for-llms-in-production-31943f1e39a4 | |||
| 23:46 | SideButton — Open Source Platform for AI Agents https://medium.com/@max.svistunov/sidebutton-open-source-platform-for-ai-agents-9d0febfc4796 | |||
| 23:45 | The AI Startup Playbook Silicon Valley Can’t Copy: Build Where the Internet Breaks https://medium.com/write-a-catalyst/the-ai-startup-playbook-silicon-valley-cant-copy-build-where-the-internet-breaks-80c55315a998 | |||
| 23:37 | EngLISP: Bridging Natural Language and Computation Through Minimal Structure https://medium.com/@russellshen7/englisp-bridging-natural-language-and-computation-through-minimal-structure-eb0c939ae570 | |||
| 23:25 | Why Claude Code Hits “Usage Limit Reached” — And How You Can Delay It Dramatically https://shweta-lodha.medium.com/why-claude-code-hits-usage-limit-reached-and-how-you-can-delay-it-dramatically-a23bf485ed6a | |||
| 23:14 | Show HN: Local LLM on a Pi 4 controlling hardware via tool calling https://github.com/stfurkan/pi-llm | |||
| 23:04 | Computer-Use: The Clicking Isn’t the Hard Part https://medium.com/@kvkthecreator/computer-use-the-clicking-isnt-the-hard-part-628d167d22ba | |||
| 22:53 | Rust, MCP, DataFusion Devil’s Favorite Trifecta https://ardvci.medium.com/rust-mcp-datafusion-devils-favorite-trifecta-b6779d97111f | |||
| 22:50 | Prompt Engineering vs. Context Engineering https://medium.com/@dncpwvmy/prompt-engineering-vs-context-engineering-d29bfd9e27fa | |||
| 22:49 | Why LLMs Hallucinate — and How We Can Fix It https://pub.towardsai.net/why-llms-hallucinate-and-how-we-can-fix-it-61626add1919 | |||
| 22:37 | Why Your AI Website Still Looks Like Garbage in 2026 https://medium.com/@hermosillo.jessie/why-your-ai-website-still-looks-like-garbage-in-2026-54df2ec8f877 | |||
| 22:30 | Sam Altman's home targeted in second attack https://sfstandard.com/2026/04/12/sam-altman-s-home-targeted-second-attack/ | |||
| 22:28 | The Context Layer That Turns Vibe Coding Into Software Engineering https://medium.com/@atef.ataya/the-context-layer-that-turns-vibe-coding-into-software-engineering-57cce12035fa | |||
| 21:52 | Meta AI and KAUST Researchers Propose Neural Computers That Fold Computation, Memory, and I/O Into One Learned Model https://www.marktechpost.com/2026/04/12/meta-ai-and-kaust-researchers-propose-neural-computers-that-fold-computation-memory-and-i-o-into-one-learned-model/ | |||
| 21:13 | Anthropic’s Claude Mythos release created a Glomar Trap for customers and rivals https://10io.com/blog/glomar-trap-mythos | |||
| 20:19 | If you don’t have a word for it can you even think it? https://medium.com/@oussamaaba911/if-you-dont-have-a-word-for-it-can-you-even-think-it-32d394a7ecef | |||
| 19:50 | The 1,000 Repository Milestone - The Power of Sharding https://medium.com/@apicrumbs/the-1-000-repository-milestone-the-power-of-sharding-03b1dce96273 | |||
| 19:32 | Retrieval-Augmented Generation (RAG): The Complete Guide https://medium.com/@khanvilkar.s.kunal/retrieval-augmented-generation-rag-the-complete-guide-83e700b6f1ac | |||
| 19:32 | The Silent “Token Tax”: Is AI Development Getting More Expensive? https://medium.com/@israiely.affan98/the-silent-token-tax-is-ai-development-getting-more-expensive-1d20b6f8783a | |||
| 19:25 | Deep Drive Into LangChain https://medium.com/@virajnande9325/deep-drive-into-langchain-6ad8f32a5643 | |||
| 19:21 | Better MoE model inference with warp decode https://cursor.com/blog/warp-decode | |||
| 19:04 | Speed isn’t the problem. I analysed 4,472 quick commerce reviews to find out what is. https://medium.com/@kulkarniprutha1/speed-isnt-the-problem-i-analysed-4-472-quick-commerce-reviews-to-find-out-what-is-9ae8cc97ea16 | |||
| 19:02 | Mission inbox zero: how I surgically nuked over 80,000 unread emails with my AI agent https://medium.com/@erikkaju/mission-inbox-zero-how-i-surgically-nuked-over-80-000-unread-emails-with-my-ai-agent-f339cb9a9ece | |||
| 18:51 | How Traditional ML Beats Powerful LLMs at Interpretability https://mithilesh-ai.medium.com/how-traditional-ml-beats-powerful-llms-at-interpretability-2ee1837ba485 | |||
| 18:45 | 1-bit inference of 0.8M param GPT running inside 8192 bytes of sram https://twitter.com/monty10x/status/2043399937073754117 | |||
| 18:41 | Anthropic Wants to Build Their Own Chips Now? https://generativeai.pub/anthropic-wants-to-build-their-own-chips-now-66923f506502 | |||
| 18:36 | OpenAI says to update Mac apps ChatGPT and Codex as security precaution https://9to5mac.com/2026/04/10/openai-says-to-update-mac-apps-including-chatgpt-and-codex-as-security-precaution/ | |||
| 18:35 | LangChain Deep Technical Blog: Designing Modular LLM Applications with End-to-End Implementation https://medium.com/@aervaaravind10/langchain-deep-technical-blog-designing-modular-llm-applications-with-end-to-end-implementation-9f5a4a5f6a2e | |||
| 18:18 | From Prompts to Intelligent Systems: A Deep Dive into LangChain Architecture and Applications https://medium.com/@himanshuss1003/from-prompts-to-intelligent-systems-a-deep-dive-into-langchain-architecture-and-applications-b16dc4b97ea8 | |||
| 17:55 | Artificial Intelligence Lab: A Practical Roadmap to Modern AI Systems https://medium.com/artificial-intelligence-lab/artificial-intelligence-lab-a-practical-roadmap-to-modern-ai-systems-ac2e6d41ab90 | |||
| 17:16 | What Large Language Models Imply About Machine Capabilities https://medium.com/@melnawawy1980/what-large-language-models-imply-about-machine-capabilities-e84dfa2b9730 | |||
| 16:41 | Mastering Agentic AI #1: Naive RAG’den Otonom Akıllı Ajanlara https://medium.com/@sibelakkurt/mastering-agentic-ai-1-naive-ragden-otonom-ak%C4%B1ll%C4%B1-ajanlara-e7c840244ff2 | |||
| 16:30 | Data Pollution Is the Biggest Threat to AI -Not Model Size https://medium.com/@scholarsonyalphy2022/data-pollution-is-the-biggest-threat-to-ai-not-model-size-a1e955eb9a68 | |||
| 15:59 | From Prompts to Agents: A Deep Technical Exploration of LangChain Architecture https://medium.com/@gvd6714/from-prompts-to-agents-a-deep-technical-exploration-of-langchain-architecture-ab3ff4a8b080 | |||
| 15:57 | Top 7 Places to Learn Agentic AI in 2026 https://medium.com/javarevisited/top-7-places-to-learn-agentic-ai-in-2026-4a49c659fe25 | |||
| 15:52 | The Gemma 4 Project, Cloud DevOps Engineer’s Guide, MIT & Stanford New Courses | Issue 83 https://medium.com/@rami.krispin/the-gemma-4-project-cloud-devops-engineers-guide-mit-stanford-new-courses-issue-83-1a95759b8531 | |||
| 15:51 | Beyond Flat Metrics: Brand Mention Surplus https://medium.com/@caleboscartitterton/beyond-flat-metrics-brand-mention-surplus-d2128cb338de | |||
| 15:51 | Test-Time Compute: What “Thinking” Models Actually Do (And What They Don’t) https://pub.towardsai.net/test-time-compute-what-thinking-models-actually-do-and-what-they-dont-8d587c1d93cd | |||
| 15:49 | What I Learned Building a RAG Pipeline Over 644 Legal Documents https://medium.com/@shaileshkumarmishra/what-i-learned-building-a-rag-pipeline-over-644-legal-documents-4599e1b24341 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a