LLM News and Articles
| Friday, 2026-07-03 | ||||
| 21:19 | Your Healthcare AI Project Won’t Fail on the Model. It’ll Fail on the Data Layer https://medium.com/@teamvoy/ai-implementation-in-healthcare-367f7da93232 | |||
| 21:16 | I Built an AI Agent That Writes Clinical Reports. The Hard Part Was Making It Fail. https://medium.com/@gbadedata/i-built-an-ai-agent-that-writes-clinical-reports-the-hard-part-was-making-it-fail-4cb5bd84b4c0 | |||
| 21:16 | Building a RAG System with Pinecone: Let Users Ask Questions About Their Own Documents https://pub.towardsai.net/building-a-rag-system-with-pinecone-let-users-ask-questions-about-their-own-documents-32ed4beb9dbf | |||
| 21:14 | AI inference is obviously profitable https://www.seangoedecke.com/ai-inference-is-obviously-profitable/ | |||
| 21:07 | AI Tokens Explained: The Building Blocks of Large Language Models https://medium.com/@emmacarter.official26/ai-tokens-explained-the-building-blocks-of-large-language-models-7046a642410d | |||
| 21:06 | Show HN: Mlx-serve – LLM inference server for Apple Silicon, written in Zig https://mlxserve.com/ | |||
| 21:00 | Meta AI chief says their coming LLM has caught up with OpenAI's flagship model https://www.businessinsider.com/meta-ai-model-catches-up-openai-gpt-5-says-2026-7 | |||
| 20:03 | Independent Studio Buys Movie About OpenAI That Amazon Dropped https://www.nytimes.com/2026/06/30/business/media/openai-movie-artificial-neon-amazon.html | |||
| 19:26 | Why CodeGraph Cut Its Eight MCP Tools Down to One https://medium.com/@linz07m/why-codegraph-cut-its-eight-mcp-tools-down-to-one-b1ebd27c0fa0 | |||
| 19:25 | AI agents aren’t ready for IT operations yet and now there’s a benchmark that proves it https://medium.com/@mettasurendhar/ai-agents-arent-ready-for-it-operations-yet-and-now-there-s-a-benchmark-that-proves-it-8e62a230e2d3 | |||
| 19:13 | LLMs (Part-05): After the Decoder Stack https://medium.com/@0s.and.1s/llms-part-05-after-the-decoder-stack-f0027150ee18 | |||
| 19:01 | I Switched to a Cheaper AI Model. My Bill Went Up. https://medium.com/@fillipkosorukov/i-switched-to-a-cheaper-ai-model-my-bill-went-up-62a05f8cb587 | |||
| 19:01 | How to Create a Well-Structured Python SDK https://pub.towardsai.net/how-to-create-a-well-structured-python-sdk-99f0da43bab3 | |||
| 18:41 | I Ported 60,000 Lines of PHP to TypeScript in just 14 Hours. The Speed Wasn’t the Surprise. https://medium.com/@interblockchain/i-ported-60-000-lines-of-php-to-typescript-in-just-14-hours-the-speed-wasnt-the-surprise-811a2d99893b | |||
| 18:36 | Deploying vLLM on a GCP Deep Learning VM: My Real-World Journey with NVIDIA L4, CUDA, and Gemma 31B https://codechefvaibhavkashyap.medium.com/deploying-vllm-on-a-gcp-deep-learning-vm-my-real-world-journey-with-nvidia-l4-cuda-and-gemma-31b-464c94019f5a | |||
| 18:24 | The Hidden Engineering Behind ChatGPT: FlashAttention, PagedAttention, and Continuous Batching… https://medium.com/@sriramp_98201/the-hidden-engineering-behind-chatgpt-flashattention-pagedattention-and-continuous-batching-af57005a3be9 | |||
| 18:23 | LLMs are changing Industries! https://medium.com/@hummadsiddiqui27/llms-are-changing-industries-816c24eed737 | |||
| 18:19 | Collabora Office Update with Choose Your Own LLM Adventure https://www.heise.de/en/news/Collabora-Office-26-04-Desktop-suite-with-self-selected-AI-11351930.html | |||
| 18:12 | The Omnitrix Protocol: What Ben 10 Taught Me About Large Language Models. https://medium.com/@shrushti6602/the-omnitrix-protocol-what-ben-10-taught-me-about-large-language-models-81c47acd4aa2 | |||
| 18:00 | Are LLMs Really the Future? How Large Language Models Are Transforming Industries https://medium.com/@sushantvichare/are-llms-really-the-future-how-large-language-models-are-transforming-industries-e58be49c8134 | |||
| 17:54 | Beyond Words: From Commands to Conversations! https://medium.com/@raheen2005/beyond-words-from-commands-to-conversations-74bb39f12912 | |||
| 17:53 | The Transcendence of Mind: The Birth of Cognitive Engineering https://medium.com/ai-simplified-in-plain-english/the-transcendence-of-mind-the-birth-of-cognitive-engineering-5115f0595a8e | |||
| 17:53 | The Industrialization of Integrity: Topo-Ops as the New Standard https://medium.com/ai-simplified-in-plain-english/the-industrialization-of-integrity-topo-ops-as-the-new-standard-f64b48f13201 | |||
| 17:46 | I Wasn't Allowed Prompting ChatGPT During My Chalk Talk: This Is Discrimination (2025) https://inpreparation.substack.com/p/opinion-i-was-not-allowed-to-type | |||
| 17:05 | What Can LLMs Actually Do? https://medium.com/@kalpeshsar789/what-can-llms-actually-do-e860b2e468a4 | |||
| 16:46 | Real-Time Phone Call Transcription Pipeline with Telnyx and OpenAI Whisper https://old.reddit.com/r/Telnyx/comments/1umbick/how_to_build_a_realtime_phone_call_transcription/ | |||
| 16:26 | Alibaba bans staff from using Claude Code over Anthropic spyware concerns https://www.scmp.com/tech/big-tech/article/3359375/alibaba-bans-staff-using-claude-code-over-anthropic-spyware-concerns | |||
| 16:05 | LangGraph: Building Intelligent AI Workflows That Actually Make Sense https://medium.com/@dev_shivam_thakur/langgraph-building-intelligent-ai-workflows-that-actually-make-sense-b4037888da2c | |||
| 16:04 | Memory Proportional Progressive Precision: A New Approach to the LLM Inference Memory Wall https://medium.com/@michael.ariaga_76324/memory-proportional-progressive-precision-a-new-approach-to-the-llm-inference-memory-wall-a3a906a3a3dc | |||
| 15:58 | The relevance of A.A. Markov's “Markov Chain” in large language models (LLMs). https://medium.com/@marjune/the-relevance-of-a-a-markovs-markov-chain-in-large-language-models-llms-5787aaacc285 | |||
| 15:52 | Claude Sonnet 5 Quietly Changed the AI Value Before GPT-5.5 Could https://medium.com/@sourcebowresource/claude-sonnet-5-quietly-changed-the-ai-value-before-gpt-5-5-could-85dc6fac546b | |||
| 15:49 | Handling LLM Output Safely in Production: A Four-Layer Approach from Schema to Metrics https://medium.com/@abdullahzengin/handling-llm-output-safely-in-production-a-four-layer-approach-from-schema-to-metrics-f16253118932 | |||
| 15:43 | From Prompt to Prediction: The Hidden Journey Behind Every ChatGPT Response https://medium.com/@shambhavikhurana5/from-prompt-to-prediction-the-hidden-journey-behind-every-chatgpt-response-9e079ffd4627 | |||
| 15:42 | LLM Çıktısını Production’da Güvenle İşlemek: Şemadan Metriğe Dört Katmanlı Bir Yaklaşım https://medium.com/@abdullahzengin/llm-%C3%A7%C4%B1kt%C4%B1s%C4%B1n%C4%B1-productionda-g%C3%BCvenle-i%CC%87%C5%9Flemek-%C5%9Femadan-metri%C4%9Fe-d%C3%B6rt-katmanl%C4%B1-bir-yakla%C5%9F%C4%B1m-7bd16f849dbc | |||
| 15:37 | Anthropic wants to develop its own drugs https://theguptalog.blogspot.com/2026/07/anthropic-wants-to-develop-its-own-drugs.html | |||
| 15:34 | AI-powered iOS apps (LLMs, on-device AI, RAG, MCP, Agents) https://nirajpaul2.medium.com/ai-powered-ios-apps-llms-on-device-ai-rag-mcp-agents-f52f687aaa00 | |||
| 15:32 | I Used ChatGPT to Land My First Freelance Writing Client in 48 Hours https://medium.com/@mdabdullah9758/i-used-chatgpt-to-land-my-first-freelance-writing-client-in-48-hours-255a62f7676a | |||
| 15:28 | Sandboxing an AI Coding Agent: The Harness Owns the Boundaries https://medium.com/@reneza/sandboxing-an-ai-coding-agent-the-harness-owns-the-boundaries-01993ca0428b | |||
| 15:21 | Breaking the Equation: One Founder Just Raised M to Teach AI How to Actually Do Math https://medium.com/@ritukampani/breaking-the-equation-one-founder-just-raised-64m-to-teach-ai-how-to-actually-do-math-b4543a142acd | |||
| 15:15 | Be you Dom, Domme, or Top, your first submissive should be yourself. https://lexagoddess8.medium.com/be-you-dom-domme-or-top-your-first-submissive-should-be-yourself-c12d4421136e | |||
| 15:14 | Open-weight models are dependencies. Treat them like dependencies https://medium.com/@kirill89/open-weight-models-are-dependencies-treat-them-like-dependencies-4d5e0aacfeda | |||
| 15:06 | Why AI Tokens Are So Expensive (And Why Nobody Explains It Properly) https://medium.com/@shripadkhandare/why-ai-tokens-are-so-expensive-and-why-nobody-explains-it-properly-5ee2340447da | |||
| 15:01 | LAI #132: We Open-Sourced the AI Tutor Our Students Actually Use https://pub.towardsai.net/lai-132-we-open-sourced-the-ai-tutor-our-students-actually-use-bf0930f16e1e | |||
| 14:51 | Mistral vs. Claude on our onboarding: 4× faster, 30% cheaper https://squidler.io/blog/eu-models-1-discovery-mistral | |||
| 14:01 | What Is Context Engineering? The Complete Beginner’s Guide (2026 Edition) https://medium.com/@austinblake001/what-is-context-engineering-the-complete-beginners-guide-2026-edition-50b5e52ad83e | |||
| 13:31 | The Invisible Disaster (Part 1) https://codefarm0.medium.com/the-invisible-disaster-part-1-a902bf6d7f17 | |||
| 13:29 | LLM Wiki https://cobusgreyling.medium.com/llm-wiki-cb25eedbfa58 | |||
| 12:58 | Understanding ReAct: Why AI Needs to Think and Act https://medium.com/@thamodashehan3/understanding-react-why-ai-needs-to-think-and-act-251d2742881a | |||
| 12:29 | From Prompt to Production #5: ChatGPT Sadece Yazmıyor, Yazdıklarınızı Dönüştürüyor https://medium.com/@simaynglu/from-prompt-to-production-5-chatgpt-sadece-yazm%C4%B1yor-yazd%C4%B1klar%C4%B1n%C4%B1z%C4%B1-d%C3%B6n%C3%BC%C5%9Ft%C3%BCr%C3%BCyor-ef369a569faf | |||
| 12:18 | large language model — (LLMs) Transforming the Future of Artificial Intelligence https://medium.com/@arunkumarmunraathi/large-language-model-llms-transforming-the-future-of-artificial-intelligence-08669fe43414 | |||
| 12:17 | Lenny the LLM – You will learn how LLMs work from this fun short story https://www.ivokund.com/lenny-the-llm-life-as-a-language-model/ | |||
| 12:16 | Large Language Models (LLMs) and Their Real-world Applications https://medium.com/@mohammedsahirfarazali13/large-language-models-llms-and-their-real-world-applications-ffbeb4bf05a5 | |||
| 11:51 | Retrieval-Augmented Generation (RAG): A Complete Beginner’s Guide to Building Smarter AI Systems https://medium.com/@ankammarao1404/retrieval-augmented-generation-rag-a-complete-beginners-guide-to-building-smarter-ai-systems-50967d619566 | |||
| 11:51 | Why Every AI Product Needs Better Analytics Before Better Models https://medium.com/packt-hub/why-every-ai-product-needs-better-analytics-before-better-models-a2ed8e2f881d | |||
| 11:50 | LLM Çağında Sense2Vec: Neden Hala Bu Kütüphane Kullanılıyor? https://medium.com/@mervekomur/llm-%C3%A7a%C4%9F%C4%B1nda-sense2vec-neden-hala-bu-k%C3%BCt%C3%BCphane-kullan%C4%B1l%C4%B1yor-3f078d9e4778 | |||
| 11:48 | The 142-Page Problem: What a Bible Narration Project Taught Me About Voice Artists and AI https://medium.com/@our1truegod/the-142-page-problem-what-a-bible-narration-project-taught-me-about-voice-artists-and-ai-3a4eb39df9d1 | |||
| 11:45 | The Typed IR Pattern: A Better Way to Build Reliable AI Agents https://medium.com/@purohitatul/the-typed-ir-pattern-a-better-way-to-build-reliable-ai-agents-3c96f915296a | |||
| 11:31 | Why ChatGPT doesn’t Crawl Most eCommerce Stores: The llms.txt Fix Most Merchants Don’t Know About https://medium.com/@scott_81775/why-chatgpt-doesnt-crawl-most-ecommerce-stores-the-llms-txt-fix-most-merchants-don-t-know-about-a26623733d6e | |||
| 11:25 | Generative AI in 2026: Multimodal Models, Hyper‑Personalization & Domain‑Specific LLMs https://medium.com/@technomarksolutions/generative-ai-in-2026-multimodal-models-hyper-personalization-domain-specific-llms-d02e343214de | |||
| 11:23 | Why More AI Builders Are Choosing to Run Models Locally Instead of Relying on APIs https://medium.com/@rahi.golani/why-more-ai-builders-are-choosing-to-run-models-locally-instead-of-relying-on-apis-fbceff924e90 | |||
| 11:22 | 8 Proven Ways to Prevent Data Leakage in RAG Systems https://medium.com/the-pythonworld/8-proven-ways-to-prevent-data-leakage-in-rag-systems-8791e4b837fe | |||
| 11:21 | Reflection Agent Architecture: Eliminating LLM Hallucinations via Tool-Grounded Iterative… https://pub.towardsai.net/reflection-agent-architecture-eliminating-llm-hallucinations-via-tool-grounded-iterative-9a61767cc979 | |||
| 11:17 | Claude Sonnet 5: What Changed, What Breaks, What Held Up — PUBLICATION PACKAGE https://alirezarezvani.medium.com/claude-sonnet-5-what-changed-what-breaks-what-held-up-publication-package-6da75ed7e086 | |||
| 09:44 | I Put My AI App in Airplane Mode. It Kept Working. https://medium.com/@abhinavguptas/ondevice-ai-i-put-my-ai-app-in-airplane-mode-it-kept-working-59d414c83b46 | |||
| 09:22 | RAG for Beginners: A First Entry Point for Anyone Getting Into Retrieval-Augmented Generation https://medium.com/@amir.mohammad.nouri2000/rag-for-beginners-a-first-entry-point-for-anyone-getting-into-retrieval-augmented-generation-9d9859398938 | |||
| 08:36 | Beyond ChatGPT: How Large Language Models Are Redefining the Future of Data Science https://medium.com/@anamikanikki0601/beyond-chatgpt-how-large-language-models-are-redefining-the-future-of-data-science-2d087d7a7cd8 | |||
| 08:00 | An Introduction to Large Language Models https://medium.com/@writeronepagecode/an-introduction-to-large-language-models-e2795fe6edc6 | |||
| 07:51 | The Model You Shipped Is Not the Model You Keep https://medium.com/@yeallen441/the-model-you-shipped-is-not-the-model-you-keep-7f13ed6adca5 | |||
| 07:41 | Inside CodeGraph: How AI Coding Agents Understand Million-Line Codebases Without Reading Every File https://ai.plainenglish.io/inside-codegraph-how-ai-coding-agents-understand-million-line-codebases-without-reading-every-file-66b069215c00 | |||
| 07:23 | Premium Women’s Clothing in Kollam https://medium.com/@abf46318/premium-womens-clothing-in-kollam-4df9d51f73af | |||
| 07:23 | DGX Spark Neden 4 Bit Quantizasyonda Beklediğiniz Performansı Vermiyor? https://medium.com/@csburakkilic/dgx-spark-neden-4-bit-quantizasyonda-bekledi%C4%9Finiz-performans%C4%B1-vermiyor-ce776da3a18e | |||
| 07:13 | Model Routing Is Not the Same as Agent Runtime Safety https://medium.com/@salimassili62/model-routing-is-not-the-same-as-agent-runtime-safety-78a50dd0126a | |||
| 07:11 | Context Engineering Is the Job Now. Prompt Engineering Was Just the Onboarding. https://medium.com/@shayanholakouee/context-engineering-is-the-job-now-prompt-engineering-was-just-the-onboarding-9a6f824e3cea | |||
| 07:09 | Why AI Hallucinates: The Biggest Problem in Modern Artificial Intelligence https://medium.com/@arohipatel270/why-ai-hallucinates-the-biggest-problem-in-modern-artificial-intelligence-a8c669ef3c8c | |||
| 07:08 | The AI Gatekeeper: How MuleSoft LLM Proxy Turns Scattered AI into Smart, Safe Enterprise Power https://medium.com/@vijaykumarstar111/the-ai-gatekeeper-how-mulesoft-llm-proxy-turns-scattered-ai-into-smart-safe-enterprise-power-da8bfe1a4138 | |||
| 06:58 | We Made Sacrifices. https://medium.com/@alyfe.how/we-made-sacrifices-d2dd2f1e30a6 | |||
| 06:56 | How to Build AI Agents That Actually Finish the Job with Loop Engineering https://medium.com/ai-engineering-collective/how-to-build-ai-agents-that-actually-finish-the-job-with-loop-engineering-ddd69249d29e | |||
| 06:50 | Chain-of-Memory Retrieval: Fixing What Vector RAG and Long-Context LLMs Get Wrong https://medium.com/@bpatri280/chain-of-memory-retrieval-fixing-what-vector-rag-and-long-context-llms-get-wrong-6196f67dc661 | |||
| 06:47 | How can I become an AI Engineer in 6–12 months? https://medium.com/@cibidarwin1996/how-can-i-become-an-ai-engineer-in-6-12-months-cf7ee9458484 | |||
| 06:33 | Beyond the Prompt: Understanding How Large Language Models Really Work https://medium.com/@dennisignatius888/beyond-the-prompt-understanding-how-large-language-models-really-work-b6d106907983 | |||
| 06:18 | Large Language Models : From Theory to Real-World Impact https://medium.com/@riyaash2004/large-language-models-from-theory-to-real-world-impact-be8d9bfa8512 | |||
| 05:55 | Meet WebBrain: An Open-Source, Local-First AI Browser Agent That Reads Pages and Automates Tasks in Chrome and Firefox https://www.marktechpost.com/2026/07/02/meet-webbrain-an-open-source-local-first-ai-browser-agent-that-reads-pages-and-automates-tasks-in-chrome-and-firefox/ | |||
| 05:31 | Propose, Verify, Measure, Refine: A Formal Look at Feedback Grounded Code Optimization https://medium.com/@harshit.sinha0910/propose-verify-measure-refine-a-formal-look-at-feedback-grounded-code-optimization-e3e77d06902d | |||
| 05:29 | Anthropic moves to close loopholes that allow Chinese access to Claude https://www.ft.com/content/ad033063-60f9-4c0c-8d8a-9193a83e6f60 | |||
| 05:11 | Enterprise LLM Training Data: Common Challenges and Solutions https://medium.com/@ritikaushik240/enterprise-llm-training-data-common-challenges-and-solutions-527fe01d43bc | |||
| 04:51 | A Deterministic Replacement for LLM-as-Judge in Stateful Agent Evaluation https://arxiv.org/abs/2606.22737 | |||
| 03:40 | Beyond “Looks Good”: AI Builder Should Track Before Shipping an LLM App(Part 2) https://medium.com/@connectwidamit/beyond-looks-good-ai-builder-should-track-before-shipping-an-llm-app-part-2-e04b982a3207 | |||
| 03:31 | Best Cloud GPU Setups for Fine-Tuning LLMs in 2026 (With Real Cost Examples) https://medium.com/@mailfordavid6/best-cloud-gpu-setups-for-fine-tuning-llms-in-2026-with-real-cost-examples-153f16af208c | |||
| 03:28 | What is Chunking in RAG? Why It Matters + Top 5 Strategies You Should Know https://iffywhy.medium.com/what-is-chunking-in-rag-why-it-matters-top-5-strategies-you-should-know-bd3880ceb299 | |||
| 03:11 | Red Hat AI Brings DSpark Speculative Decoding to GLM-5.2, Doubling Inference Speed https://ai-engineering-trend.medium.com/red-hat-ai-brings-dspark-speculative-decoding-to-glm-5-2-doubling-inference-speed-aea7239abb2d | |||
| 03:07 | AI Update — July 3, 2026: 5 Things That Just Dropped https://medium.com/adi-insights-innovations-collective/ai-update-july-3-2026-5-things-that-just-dropped-310ee432a6e6 | |||
| 03:06 | I Touched a Model Config and Fell Into the Triton Basement https://medium.com/@jenwei0312/i-touched-a-model-config-and-fell-into-the-triton-basement-a72b128546ce | |||
| 02:48 | Why Your AI Agent Forgets: Rethinking Memory Retrieval https://medium.com/@deandu/improving-ai-memory-retrieval-coverage-building-a-multi-angle-memory-retrieval-strategy-e91e261456e6 | |||
| 02:43 | The delicious irony of Anthropic bemoaning distillation https://twitter.com/ejzim/status/2072692694036660517 | |||
| 02:35 | Lotus: Optimized Agentic and LLM Bulk Processing https://github.com/lotus-data/lotus | |||
| 02:31 | Why production AI needs structured outputs https://medium.com/@Vamsi.annamreddy/why-production-ai-needs-structured-outputs-3c0a8273a640 | |||
| 02:24 | Ship to Production With Confidence: Add Human Approval to Your CI/CD Pipeline Using Aegmis https://medium.com/@amitg.b14/ship-to-production-with-confidence-add-human-approval-to-your-ci-cd-pipeline-using-aegmis-8be86b04a84f | |||
| 02:23 | Your Data Warehouse Was Built for People. The Next One Will Be Built for AI. https://medium.com/@arisyndata/your-data-warehouse-was-built-for-people-the-next-one-will-be-built-for-ai-46d683471254 | |||
| 02:01 | Open letter to Anthropic: keep Claude Fable 5 in existing paid plans https://keepfable.org | |||
| 00:20 | A Five-Layer Cognitive Toolkit for LLMs: Layer 2 (Patterns) https://medium.com/@ensleytan/a-five-layer-cognitive-toolkit-for-llms-layer-2-patterns-6f951dc636e2 | |||
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Release v20260328a