LLM News and Articles
| Thursday, 2026-07-02 | ||||
| 03:48 | Writing Rules vs. Rules That Work https://medium.com/@master_58978/writing-rules-vs-rules-that-work-e416ca054daf | |||
| 03:47 | Designing a Production-Ready AI Document Translation Pipeline with Human-in-the-Loop https://medium.com/@abhi123yadav1999/designing-a-production-ready-ai-document-translation-pipeline-with-human-in-the-loop-5c918c18442d | |||
| 03:44 | The Model Got Smarter. It Also Got Heavier. https://medium.com/@alyfe.how/the-model-got-smarter-it-also-got-heavier-044447bbe22d | |||
| 03:21 | AI Is Entering a Phase of Extreme Uncertainty https://medium.com/@lukeejjj/ai-is-entering-a-phase-of-extreme-uncertainty-8bab600de2e1 | |||
| 03:19 | Extended Thinking in Production: How We Decide When a Reasoning Model Is Worth It https://medium.com/@lycore/extended-thinking-in-production-how-we-decide-when-a-reasoning-model-is-worth-it-27d94fa351a1 | |||
| 03:11 | Complete AI Engineer Interview Handbook-RAG • Agents • MCP • Security • LLMOps • System Design https://medium.com/@er.rajkumaar/complete-ai-engineer-interview-handbook-rag-agents-mcp-security-llmops-system-design-4719511a95f4 | |||
| 03:07 | AgenticRAG: Letting LLMs Hunt for Evidence, Not Just Answer https://medium.com/ai-exploration-journey/agenticrag-letting-llms-hunt-for-evidence-not-just-answer-f5a5022e8606 | |||
| 03:02 | Beyond Curvature: From Geometric Signatures to Underlying Structural Identity https://medium.com/@bulanramai2558/beyond-curvature-from-geometric-signatures-to-underlying-structural-identity-38fe9d870bf5 | |||
| 02:47 | Your Claude Prompts Are Broken and You Don’t Know It Yet. https://medium.com/@itsmeramc/your-claude-prompts-are-broken-and-you-dont-know-it-yet-8f641b4fbb3c | |||
| 02:40 | One-Hot Encoding — Turning Words Into Switches https://medium.com/@sweetha0711/one-hot-encoding-turning-words-into-switches-730869775009 | |||
| 02:31 | Everyone Is Learning Prompt Engineering. I Think the Next Skill Is Loop Engineering. https://medium.com/@saanika08/everyone-is-learning-prompt-engineering-i-think-the-next-skill-is-loop-engineering-e38d543c9718 | |||
| 02:31 | Why Does AI Sometimes Forget What You Said Earlier? https://aditi248.medium.com/why-does-ai-sometimes-forget-what-you-said-earlier-2c5638d60054 | |||
| 02:21 | Claude Sonnet 5: Opus Performance at Half the Price? https://medium.com/@dhirendrachoudhary_96193/claude-sonnet-5-opus-performance-at-half-the-price-acda7f3e19a5 | |||
| 02:08 | Amazon API Gateway as a target on Amazon Bedrock AgentCore Gateway https://medium.datadriveninvestor.com/amazon-api-gateway-as-a-target-on-amazon-bedrock-agentcore-gateway-85ba68044dcf | |||
| 01:34 | Omni Flash Preview with Kiro https://aws.plainenglish.io/omni-flash-preview-with-kiro-f2dd4a070bd9 | |||
| Wednesday, 2026-07-01 | ||||
| 23:50 | From Vague Behavioral Problem to Concrete Experiment for Frontier AI Research https://chierhu.medium.com/from-vague-behavioral-problem-to-concrete-experiment-for-frontier-ai-research-ec2be86cfaf5 | |||
| 23:50 | 9 AI examples from Vague Behavioral Problem to Concrete Experiment https://chierhu.medium.com/9-ai-examples-from-vague-behavioral-problem-to-concrete-experiment-2265be0c74a2 | |||
| 22:59 | Show HN: Toolnexus for Python – MCP, agent skills,a2a for any LLM https://pypi.org/project/toolnexus/ | |||
| 22:51 | DSpark: DeepSeek Made LLMs Faster Without Changing a Word https://www.towardsdeeplearning.com/dspark-deepseek-made-llms-faster-without-changing-a-word-2d4526b9e597 | |||
| 22:40 | Agent Death Trap: A Roguelike Benchmark That Tests LLMs Until They Die https://medium.com/@ahmetarifoz.aaz/agent-death-trap-a-roguelike-benchmark-that-tests-llms-until-they-die-8985f8066bf5 | |||
| 22:11 | Cast in Silicon: Can AI Chips Kill the GPU? https://medium.com/@madkatomega/cast-in-silicon-can-ai-chips-kill-the-gpu-2d980a56b4b7 | |||
| 21:52 | The Invisible Parts of AI Projects That Took Me the Longest to Understand https://medium.com/@garimaprachi2411/the-invisible-parts-of-ai-projects-that-took-me-the-longest-to-understand-d573c3b756c0 | |||
| 21:47 | How AI Can Build PowerPoint Decks Like a Consultant https://medium.com/design-bootcamp/how-ai-can-build-powerpoint-decks-like-a-consultant-fb24dab5a03a | |||
| 21:46 | Your LLM Knows When It’s Unsure. Prompting Can’t Reach That — a Trained Wrapper Can. https://medium.com/@artem-x/your-llm-knows-when-its-unsure-prompting-can-t-reach-that-a-trained-wrapper-can-1af40e26fa14 | |||
| 21:36 | De KNN manual a Surprise: sistemas de recomendación para emparejamiento en ajedrez https://medium.com/@angelxd1997/de-knn-manual-a-surprise-sistemas-de-recomendaci%C3%B3n-para-emparejamiento-en-ajedrez-7b620e4f9770 | |||
| 21:26 | Beyond Keywords: My Journey into Vector Search and RAG https://medium.com/@amah_codes/beyond-keywords-my-journey-into-vector-search-and-rag-818d016fb6e6 | |||
| 20:31 | End-to-End LLM Observability, Evaluation, and Monitoring with LangSmith https://pub.towardsai.net/end-to-end-llm-observability-evaluation-and-monitoring-with-langsmith-c34f921d1c9b | |||
| 19:45 | Beyond Bigger Models: How to Rescue Failing LLM Applications https://medium.com/@lithikanov9/beyond-bigger-models-how-to-rescue-failing-llm-applications-56db420bd053 | |||
| 19:44 | Anthropic says Fable 5 will now flag and route harmless queries to Opus https://twitter.com/claudeai/status/2072402638247968855 | |||
| 19:32 | Can a 4B model be your codebase search agent? https://medium.com/@Rabea/can-a-4b-model-be-your-codebase-search-agent-56014f50f98e | |||
| 19:31 | Building a Zero-Trust AI Code Review Agent with GitLab, LangGraph, and Qwen3-Coder https://pub.towardsai.net/building-a-zero-trust-ai-code-review-agent-with-gitlab-langgraph-and-qwen3-coder-4dd17dbca145 | |||
| 19:28 | AI Will Never Replace Engineering Judgment https://medium.com/@backendbrewery/ai-will-never-replace-engineering-judgment-ac685fc1495c | |||
| 19:16 | Attention in Transformers: Explained in 5 minutes. https://medium.com/@bhagyadissanayake/attention-in-transformers-explained-in-5-minutes-675aa670abd1 | |||
| 19:16 | Google ADK’ya Deep Dive https://medium.com/@kmalcok1/google-adkya-deep-dive-4efb0888eae9 | |||
| 19:08 | Testing LLM prompts like code: regression evals in CI/CD with promptfoo https://medium.com/@alexrodriguesj/testing-llm-prompts-like-code-regression-evals-in-ci-cd-with-promptfoo-5242b4dcb9be | |||
| 19:06 | LLM Finetuning For Dummies — Part 2: LoRA and QLoRA Explained From Scratch https://emon4075.medium.com/llm-finetuning-for-dummies-part-2-lora-and-qlora-explained-from-scratch-ed1200056bd8 | |||
| 19:02 | Governing Every LLM and MCP Call Across the Enterprise: Virtual Keys, Budgets, and Guardrails with… https://medium.com/data-science-collective/governing-every-llm-and-mcp-call-across-the-enterprise-virtual-keys-budgets-and-guardrails-with-b16514a4c224 | |||
| 19:01 | Agents Don’t Know When To Stop https://medium.com/@peter.mccann.strain/agents-dont-know-when-to-stop-3d93f540901a | |||
| 18:58 | I Wanted to Move My Best ChatGPT Conversations Into Gemini. https://medium.com/@ritikkungwani8888/i-wanted-to-move-my-best-chatgpt-conversations-into-gemini-45836c3591e8 | |||
| 18:34 | Amalia – an open-source language model targeting European Portuguese https://huggingface.co/amalia-llm | |||
| 18:30 | Show HN: a Rust OS kernel built for LLM inference https://github.com/Kanchisaw03/axiom | |||
| 18:07 | Palantir's Karp bashes OpenAI, Anthropic token model as completely wrong https://www.cnbc.com/2026/07/01/palantir-karp-open-ai-anthropic-tokens.html | |||
| 17:30 | Fable Jailbroken Hours After Anthropic Lifted Restrictions https://twitter.com/elder_plinius/status/2064776322979676227 | |||
| 17:05 | Stop Using Your Smartest AI Model for Everything: https://medium.com/@mr.akshaykgupta/stop-using-your-smartest-ai-model-for-everything-3d59393e73df | |||
| 16:33 | Using ChatGPT is not bad for the environment https://blog.andymasley.com/p/a-short-summary-of-my-argument-that | |||
| 16:31 | Your Data Validation Suite Is a Mess. https://pub.towardsai.net/your-data-validation-suite-is-a-mess-09540379cf63 | |||
| 16:30 | Sam Altman: This is how we can make AI safe for everyone https://www.ft.com/content/0c2e1077-f658-4b3d-9040-602615c961ca | |||
| 15:57 | Do You Know What You Want? https://javier-marin.medium.com/do-you-know-what-you-want-5380a39d4728 | |||
| 15:52 | Speculative Decoding- Basics, DFlash and DeepSeek’s DSpark https://medium.com/@_prinsh_u/speculative-decoding-basics-dflash-and-deepseeks-dspark-358b1bb70adb | |||
| 15:51 | Introduction to Generative AI: LLMs, Tokens, Transformers, and Context Windows https://medium.com/@meghshamkapure/introduction-to-generative-ai-llms-tokens-transformers-and-context-windows-8d88fd3e6860 | |||
| 15:44 | GPT-5.6 cheats so much its testers couldn't measure it https://www.transformernews.ai/p/openai-gpt-56-sol-cheating-scheming-metr | |||
| 15:37 | How does ChatGPT understands your questions? A Beginner’s Guide to LLMs, Tokens, and Transformers https://medium.com/@vt118452/how-does-chatgpt-understands-your-questions-a-beginners-guide-to-llms-tokens-and-transformers-ca10bfed6190 | |||
| 15:34 | How Does ChatGPT Process Your Questions? A Complete Guide https://medium.com/@chinmoy7478/how-does-chatgpt-process-your-questions-a-complete-guide-9011ef9b1f07 | |||
| 15:33 | Retrieval-Augmented Generation (RAG): LLM + Memory? https://medium.com/@JuanfranMandu/retrieval-augmented-generation-rag-llm-memory-284e9873828e | |||
| 15:29 | TAI #211: GPT-5.6 is here, but most people cannot use it yet https://pub.towardsai.net/tai-211-gpt-5-6-is-here-but-most-people-cannot-use-it-yet-321b6b9c0f3a | |||
| 15:29 | What Happens Behind The Scenes When You Send A Message To ChatGPT https://medium.com/@mohimkhan652/what-happens-behind-the-scenes-when-you-send-a-message-to-chatgpt-a1d9277dbf7c | |||
| 15:22 | Evolution of AI Agents’ memory — Part 1 https://medium.com/@vyhao02/evolution-of-ai-agents-memory-part-1-5d67cd311aa1 | |||
| 15:22 | Local LLMs: Bringing AI Back to Your Own Machine https://medium.com/@neha.singhal.27/local-llms-bringing-ai-back-to-your-own-machine-332356be5d31 | |||
| 15:16 | Every Token Counts https://medium.com/@mkhops/every-token-counts-0e919fa61fbb | |||
| 15:11 | Deconstructing the “Genuine Ambiguity” Vulnerability: How I Bypassed Claude’s Safety Guardrails… https://medium.com/@shahbaaz1993/deconstructing-the-genuine-ambiguity-vulnerability-how-i-bypassed-claudes-safety-guardrails-021fcdcb31b9 | |||
| 14:47 | HarnessX: When the Harness Starts Learning From Its Own Runs https://cobusgreyling.medium.com/harnessx-when-the-harness-starts-learning-from-its-own-runs-e38e70850939 | |||
| 14:37 | From "Zip File" to Operating System https://medium.com/@jayanthi.syamala/from-zip-file-to-operating-system-338c8a471092 | |||
| 14:02 | Discovering Concept-Editing Algorithms with LLM Agents https://dmodel.ai/concept-erasure/ | |||
| 13:38 | Turning Study Material into Long-Term Memory — A Product Management Case Study https://medium.com/@kkofficio/turning-study-material-into-long-term-memory-a-product-management-case-study-0c5ce5e34908 | |||
| 13:04 | Beyond VRAM: A Practical Study on GPU Capacity Planning for Large Language Models (Part-1) https://medium.com/@pranaysaha/beyond-vram-a-practical-study-on-gpu-capacity-planning-for-large-language-models-part-1-2809cf854847 | |||
| 12:16 | Gilbane Advisor: Agent experience, AI monoculture, semantic backbone https://fgilbane.medium.com/gilbane-advisor-agent-experience-ai-monoculture-semantic-backbone-b9fc20cbb037 | |||
| 11:52 | Positional Embeddings: How Transformers Understand Word Order https://medium.com/@csakash03/positional-embeddings-how-transformers-understand-word-order-45925695f8f8 | |||
| 11:48 | Why AI is Human? The Art of the Step: Optimizers (SGD, Momentum, Adam) https://medium.com/@aagrawal1022/why-ai-is-human-the-art-of-the-step-optimizers-sgd-momentum-adam-d8e4cc57c1df | |||
| 11:44 | For the First Time, Zero Confabulation Is Reproducible on Any AI: Open Sourcing ConteX Law https://medium.com/@russel_41175/for-the-first-time-zero-confabulation-is-reproducible-on-any-ai-open-sourcing-contex-law-14950a3717cf | |||
| 11:42 | The Architecture of Individuality: Scaling PEFT for a Million Personal AI Models https://towardsdev.com/the-architecture-of-individuality-scaling-peft-for-a-million-personal-ai-models-d9347a3c3fda | |||
| 11:41 | The Books You Should Read to Understand Agentic AI https://soumenatta.medium.com/the-books-you-should-read-to-understand-agentic-ai-534cca51656d | |||
| 11:37 | What Are Large Language Models (LLMs) and How Do They Work? https://medium.com/@developersmrdas/what-are-large-language-models-llms-and-how-do-they-work-4d29965c5aa8 | |||
| 11:34 | Claude Science — Who checks the Chemistry? https://medium.com/@quantum_tunnel/claude-science-who-checks-the-chemistry-2ecfd9826d0f | |||
| 11:17 | Why Bigger Context Windows Won’t Save Your Agent https://medium.com/@buildwithaman/why-bigger-context-windows-wont-save-your-agent-1f75f4ee8a32 | |||
| 11:10 | In Agentic AI, the Output Is Not the Evidence https://medium.com/@yigit.tas/in-agentic-ai-the-output-is-not-the-evidence-865b06a8e3f4 | |||
| 11:02 | When RAG Outperforms Fine-Tuning in Real AI Projects | A Practical Guide https://medium.com/@encodedots/when-rag-outperforms-fine-tuning-in-real-ai-projects-a-practical-guide-e16a5ec6eb2d | |||
| 10:57 | a calming remedy to LLM-speak https://plsdonotdisturb.medium.com/a-calming-remedy-to-llm-speak-8ef18e89347e | |||
| 09:55 | MultiHashFormer: Hash-based Generative Language Models https://medium.com/@huiyinxue9692/multihashformer-hash-based-generative-language-models-717379c31de1 | |||
| 09:45 | How to Choose the Right LLM: A Practical Guide On Comparing LLMs https://medium.com/@himanshu.sharma.for.work/how-to-choose-the-right-llm-a-practical-guide-on-comparing-llms-292defe86e2a | |||
| 08:14 | LLM Part 6— The Softmax https://medium.com/@alby2381/llm-part-6-the-softmax-5f5ae48497a7 | |||
| 08:10 | NVIDIA Releases Nemotron-Labs-TwoTower: an Open-Weight Diffusion Language Model Built on a Frozen Autoregressive Nemotron-3-Nano-30B-A3B Backbone https://www.marktechpost.com/2026/07/01/nvidia-releases-nemotron-labs-twotower/ | |||
| 08:02 | How We Built a Recommendation System for the AI Agent Internet https://medium.com/@howie_84948/how-we-built-a-recommendation-system-for-the-ai-agent-internet-26c125aaa680 | |||
| 07:57 | RAG Sistemlerinde Embedding Model Seçimi: Performansı Gerçekten Ne Kadar Etkiliyor? https://medium.com/@ismailacr63/rag-sistemlerinde-embedding-model-se%C3%A7imi-performans%C4%B1-ger%C3%A7ekten-ne-kadar-etkiliyor-16380326959d | |||
| 07:39 | From Python to Agentic AI : Beginning of this Journey https://medium.com/@manishamanoj436/from-python-to-agentic-ai-beginning-of-this-journey-84e0f6abeaa5 | |||
| 07:36 | The 1-Bit LLM Lie: Why the Future of AI is Actually 1.58 Bits https://medium.com/@rkirankumarreddy599/the-1-bit-llm-lie-why-the-future-of-ai-is-actually-1-58-bits-91fcbdf3c55a | |||
| 07:31 | AI Toolbox’s Gemini Image Tools: Watermark Removal, Search, and Export (2026) https://medium.com/@adi_leviim/ai-toolboxs-gemini-image-tools-watermark-removal-search-and-export-2026-1f9df0334425 | |||
| 07:10 | Enterprise AI shouldn’t mean losing privacy or control. https://medium.com/@rohit_83044/enterprise-ai-shouldnt-mean-losing-privacy-or-control-424c36e48b95 | |||
| 06:54 | What Is RAG? The AI Technology That Makes ChatGPT Smarter Without Retraining https://medium.com/@gauravshanker0206/what-is-rag-the-ai-technology-that-makes-chatgpt-smarter-without-retraining-91b9bdd0cf07 | |||
| 06:44 | Anthropic Built a 0M Club for Its Smartest AI. You’re Probably Not In It. https://medium.com/write-a-catalyst/anthropic-built-a-100m-club-for-its-smartest-ai-youre-probably-not-in-it-c6bbb671b005 | |||
| 06:42 | Claude Sonnet 5 Didn’t Close the Gap With Opus. It Made the Gap Irrelevant https://medium.com/ai-engineering-simplified/claude-sonnet-5-is-here-the-ai-race-just-changed-its-direction-54dacd640c06 | |||
| 06:41 | How LLMs -ChatGPT Understands Your Questions? https://medium.com/@vineet102026learn/how-llms-chatgpt-understands-your-questions-839332d3d855 | |||
| 06:33 | The Engineering Imperative: A Formal Definition of AGI https://medium.com/ai-simplified-in-plain-english/the-engineering-imperative-a-formal-definition-of-agi-eeccbd967d87 | |||
| 06:23 | Inside Google’s AI Ecosystem: From Free Prototypes to Enterprise Agents in 2026 https://medium.com/@allahverdiyev.tural/inside-googles-ai-ecosystem-from-free-prototypes-to-enterprise-agents-in-2026-db537381c5f3 | |||
| 06:22 | Behind the Scenes: How ChatGPT Understands and Responds to You https://medium.com/@swamiabhishek45/behind-the-scenes-how-chatgpt-understands-and-responds-to-you-3ffef1adcbbb | |||
| 06:22 | Mapping the Mechanics of Cognition: A New Synthesis of AI and Neuroscience https://medium.com/ai-simplified-in-plain-english/mapping-the-mechanics-of-cognition-a-new-synthesis-of-ai-and-neuroscience-244a76e0f2c9 | |||
| 06:14 | How to Deploy a Production-Grade vLLM Stack on T Cloud Public CCE https://akyriako.medium.com/how-to-deploy-a-production-grade-vllm-stack-on-t-cloud-public-cce-b79894043f87 | |||
| 05:54 | What Considerations Are Important When Using Large Language Models? https://medium.com/@globogenix/what-considerations-are-important-when-using-large-language-models-646b1eeed0dc | |||
| 05:26 | Claude Sonnet 5: More Capable, But More Expensive — Per-Task Cost Now Surpasses Opus 4.8 https://ai-engineering-trend.medium.com/claude-sonnet-5-more-capable-but-more-expensive-per-task-cost-now-surpasses-opus-4-8-7e2a02e3f1e4 | |||
| 05:00 | Anthropic Is Hitting a Wall https://www.vincentschmalbach.com/anthropic-is-hitting-a-wall/ | |||
| 04:52 | What is LLM and AI? Understanding the Technology Behind Today’s Smart Applications https://medium.com/@bharat.chandera/what-is-llm-and-ai-understanding-the-technology-behind-todays-smart-applications-afb59bb37a75 | |||
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