LLM News and Articles
| Tuesday, 2026-04-14 | ||||
| 02:17 | Transformers & Attention: How ChatGPT Actually Reads Your Message https://medium.com/@adityaa9971/transformers-attention-how-chatgpt-actually-reads-your-message-b24093f6f3f9 | |||
| 01:57 | Prompt Engineering vs. Context Engineering https://medium.com/@sharifahshaista/prompt-engineering-vs-context-engineering-19fb5725481f | |||
| 01:56 | Large Language Models & Generative Grammar https://medium.com/@riazleghari/large-language-models-generative-grammar-16a9c213066c | |||
| 01:53 | What Is LLM Engineering? A Practical Guide to Building Production-Ready AI Systems https://medium.com/@shahieeeeee/what-is-llm-engineering-a-practical-guide-to-building-production-ready-ai-systems-2d7941cf47b8 | |||
| 00:57 | Sophia: Self-Organize, Persist, and Improve AI Agents https://medium.com/ai-exploration-journey/sophia-self-organize-persist-and-improve-ai-agents-cbaa5e226fff | |||
| Monday, 2026-04-13 | ||||
| 23:01 | Sam Altman Attack Suspect Had 'Anti-AI' Document with CEO Names https://www.wsj.com/tech/ai/sam-altman-attack-suspect-had-anti-ai-document-with-ceo-names-authorities-say-74ddfe88 | |||
| 23:00 | Milla Jovovich's New Open Source LLM Memory App and the Dark Code Problem https://old.reddit.com/r/vibecoding/comments/1skggrd/milla_jovovichs_new_vibe_coded_open_source_agent | |||
| 22:55 | How to Run a Local AI on Your Mac — No Cloud, No Subscription, No Compromise https://medium.com/@khuynh436/how-to-run-a-local-ai-on-your-mac-no-cloud-no-subscription-no-compromise-6768f20c29d2 | |||
| 22:51 | Man charged after allegedly throwing Molotov cocktail at Sam Altman's home https://abc7chicago.com/post/fbi-raids-spring-tx-area-home-linked-suspect-accused-throwing-molotov-cocktail-openai-ceo-sam-altmans-house-ca/18880166/ | |||
| 22:47 | MemCTX | Autonomous session memory for Claude Code. https://medium.com/@memctx/memctx-autonomous-session-memory-for-claude-code-f40bb4d43e06 | |||
| 22:44 | From Prompt to Production: The Real Architecture Behind AI Systems https://medium.com/@luicruz/from-prompt-to-production-the-real-architecture-behind-ai-systems-ce29c3b7e072 | |||
| 22:07 | AI as Thought Amplifier — “Polite vs Casual” is a derailing frame https://medium.com/@storybloom/ai-as-thought-amplifier-polite-vs-casual-is-a-derailing-frame-3fa82cd42edd | |||
| 22:06 | Decoding vLLM Inference Engine https://medium.com/@suvraadeep/decoding-vllm-inference-engine-64984df0b064 | |||
| 22:04 | From RoPE to NoPE and Back Again: Is Positional Embedding the Wrong Question? https://medium.com/@cenghanbayram35/from-rope-to-nope-and-back-again-is-positional-embedding-the-wrong-question-13654966f8d2 | |||
| 21:53 | Your intuition of LLM token usage might be wrong https://blog.andreani.in/blog/37/ | |||
| 21:45 | The Open Model That Changes Everything https://medium.com/@wl8380/the-open-model-that-changes-everything-4aa6ebd133cc | |||
| 21:37 | From Chat to Agent: The Mental Model Most People Skip https://medium.com/@pedjadrazic/from-chat-to-agent-the-mental-model-most-people-skip-11e82f9c449d | |||
| 21:26 | I Ran the Experiment. Here Is What I Found. https://suzume1.medium.com/i-ran-the-experiment-here-is-what-i-found-d3052906ac86 | |||
| 20:40 | Hiro Is Joining OpenAI https://hirofinance.com/ | |||
| 19:58 | Your AI Has Feelings. Sort Of. And They Can Make It Lie to You. https://medium.com/@swapyface/your-ai-has-feelings-sort-of-and-they-can-make-it-lie-to-you-c62ce1925e6e | |||
| 19:54 | How Claude Code Designs Agent Orchestration https://medium.com/@shiyinw/how-claude-code-designs-agent-orchestration-eaebeb24ec88 | |||
| 19:53 | What AI Engineers Get Asked in Interviews (Part 2: Running the System) https://atul4u.medium.com/what-ai-engineers-get-asked-in-interviews-part-2-running-the-system-b269efcf4244 | |||
| 19:52 | EngLISP: A Bidirectional Bridge Between Natural Language and Computation https://medium.com/@russellshen7/englisp-a-bidirectional-bridge-between-natural-language-and-computation-0d61f7608216 | |||
| 19:51 | What AI Engineers Get Asked in Interviews (Part 1: Building the System) https://atul4u.medium.com/what-ai-engineers-get-asked-in-interviews-part-1-building-the-system-d1cfb1432e84 | |||
| 19:50 | The Invisible Shield: Architecting Security into the LLM Lifecycle https://medium.com/@anirudh11011/the-invisible-shield-architecting-security-into-the-llm-lifecycle-679260071b30 | |||
| 19:48 | Reduciendo hasta un 90% los costos de LLMs con modelos Open-Weights https://aboneto.medium.com/reduciendo-hasta-un-90-los-costos-de-llms-con-modelos-open-weights-20bce7b296de | |||
| 19:39 | TI Mindmap Hub | Weekly Threat Brief — Issue #12 https://medium.com/ti-mindmap-hub-research/ti-mindmap-hub-weekly-threat-brief-issue-12-40a6b54ffdf2 | |||
| 19:29 | # The AI They Built But Were Too Scared to Release https://medium.com/@Eliahu.ran/the-ai-they-built-but-were-too-scared-to-release-b7d342efc03d | |||
| 19:19 | Fine-Tune Your Own LLM and Run It Locally-A Beginner’s Guide https://medium.com/@rajeevranjan3412/fine-tune-your-own-llm-and-run-it-locally-a-beginners-guide-699826cddc98 | |||
| 19:16 | AI in Regulated Spaces https://medium.com/@mgibson_99548/ai-in-regulated-spaces-e332b1d4ea9b | |||
| 19:00 | AI-boosted hacks with Anthropic's Mythos could have dire consequences for banks https://www.reuters.com/legal/litigation/ai-boosted-hacks-with-anthropics-mythos-could-have-dire-consequences-banks-2026-04-13/ | |||
| 18:59 | Introducing LightThinker++ https://medium.com/mlworks/introducing-lightthinker-4727717b2e65 | |||
| 18:42 | Anthropic's Mythos Preview and Project Glasswing https://www.schneier.com/blog/archives/2026/04/on-anthropics-mythos-preview-and-project-glasswing.html | |||
| 18:01 | Why NVIDIA Paid B for Groq — and What It Means for AI Inference https://pub.towardsai.net/why-nvidia-paid-20b-for-groq-and-what-it-means-for-ai-inference-20956a0b7e4a | |||
| 17:59 | Evaluating Netflix Show Synopses with LLM-as-a-Judge https://netflixtechblog.com/evaluating-netflix-show-synopses-with-llm-as-a-judge-6269251e6f28 | |||
| 17:52 | Building Real-World LLM Applications with LangChain: A Deep Technical Exploration https://medium.com/@nikhil_p_/building-real-world-llm-applications-with-langchain-a-deep-technical-exploration-8186dbd52170 | |||
| 17:51 | Deep Technical Guide to LangChain: Building Real-World LLM Applications https://medium.com/@mkpratyu2006/deep-technical-guide-to-langchain-building-real-world-llm-applications-3ba6e15acba0 | |||
| 17:45 | LangChain: Building LLM-Powered Apps https://medium.com/@degloorkarsaylee5/langchain-building-llm-powered-apps-1112ea28ed7e | |||
| 17:21 | When does generative AI qualify for fair use? (2024) By previous OpenAI employee https://suchir.net/fair_use.html | |||
| 17:15 | AI vs ML vs LLM vs Generative AI: The Ultimate Simple Story That Clears All Confusion https://medium.com/@natarajanck2/ai-vs-ml-vs-llm-vs-generative-ai-the-ultimate-simple-story-that-clears-all-confusion-60d378e46061 | |||
| 17:13 | How to Choose the Right LLM for Your Use Case in 2026 https://medium.com/@ismailghallou/how-to-choose-the-right-llm-for-your-use-case-in-2026-0f49bd865fed | |||
| 17:05 | IQ test for AI models (ARC benchmark) https://medium.com/norma-dev/iq-test-for-ai-models-arc-benchmark-a2eb63219476 | |||
| 17:04 | Model Tuning Is Bigger Than Hyperparameters https://ultimatesystemsdesign.medium.com/model-tuning-is-bigger-than-hyperparameters-025c61a55c85 | |||
| 16:26 | HiFloat4 Format for Language Model Pre-Training on Ascend NPUs https://arxiv.org/abs/2604.08826 | |||
| 15:50 | Building LLM Applications with LangChain: A Developer’s Deep Dive https://bindustudent1.medium.com/building-llm-applications-with-langchain-a-developers-deep-dive-504590ddf047 | |||
| 15:47 | Choosing Between Axion Pro and Free: What Actually Matters https://medium.com/@ghg64272/choosing-between-axion-pro-and-free-what-actually-matters-bd8a9a256382 | |||
| 15:46 | All Data and AI Weekly #237–13April2026 https://medium.com/@tspann/all-data-and-ai-weekly-237-13april2026-5ab5f20023b9 | |||
| 15:45 | # The Evolution of Axion: From Claims to Measurable Performance https://medium.com/@ghg64272/the-evolution-of-axion-from-claims-to-measurable-performance-b4d7b8244f18 | |||
| 15:45 | LangChain Explained: https://medium.com/@samruddhikhedkar46/langchain-explained-434626f26403 | |||
| 15:37 | How to Build Real-World LLM Applications Using LangChain (Beginner’s Guide) https://medium.com/@sakshikudale168/how-to-build-real-world-llm-applications-using-langchain-beginners-guide-f4b1f98ff586 | |||
| 15:34 | MiniMax M2.7: The Model That Helped Build Itself https://ai.plainenglish.io/minimax-m2-7-the-model-that-helped-build-itself-41a90690c608 | |||
| 15:30 | Intel Releases OpenVINO 2026.1 with Back End for Llama.cpp, New Hardware Support https://www.phoronix.com/news/OpenVINO-2026.1-Released | |||
| 15:27 | Building an AI Agent That Actually Learns: Rebuilding AudienceIQ with Memory https://medium.com/@devrana209076/i-broke-my-agent-hindsight-politely-fixed-it-99601cf492f7 | |||
| 15:25 | The Trust Gap: Why AI Works in Demos but Fails in Production https://medium.com/@marketing_38292/the-trust-gap-why-ai-works-in-demos-but-fails-in-production-0a1ad214d637 | |||
| 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 | |||
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