LLM News and Articles
| Sunday, 2025-12-07 | ||||
| 14:13 | The Art of Quiet Experimentation: A Self-Portrait With Fruits https://medium.com/@pratibhageehar86/the-art-of-quiet-experimentation-a-self-portrait-with-fruits-c1ae3e8895f6 | |||
| 12:42 | Unlocking the Brains of AI: A Complete Guide to Large Language Models (LLMs) https://blog.stackademic.com/unlocking-the-brains-of-ai-a-complete-guide-to-large-language-models-llms-4420cb627fd3 | |||
| 12:36 | How a Structural Alignment Layer Actually Works https://medium.com/@kimounbo38/how-a-structural-alignment-layer-actually-works-54ee0f651c34 | |||
| 12:09 | Google Created the Transformer. Now, With ‘Titans,’ They Might Finally Kill It. https://medium.com/@sampan090611/google-created-the-transformer-now-with-titans-they-might-finally-kill-it-a136caad9751 | |||
| 11:35 | RAG Just Got Its Biggest Upgrade That Will Change AI Development in 2026 https://medium.com/@DevBoostLab/graphrag-biggest-upgrade-ai-development-2026-33366891525d | |||
| 11:29 | The Engineer and the Buddhist Practitioner: How a Reddit Comment Fixed My AI Architecture https://medium.com/@office.dosanko/the-engineer-and-the-buddhist-practitioner-how-a-reddit-comment-fixed-my-ai-architecture-fc268313b5bb | |||
| 11:16 | Training, Decoding, and Hallucination in Large Language Models: A Deep Dive https://medium.com/@derrickryangiggs/training-decoding-and-hallucination-in-large-language-models-a-deep-dive-782b1d9b04b2 | |||
| 11:04 | Why AI Replies Change Tone — And How Your Prompts Secretly Control Everything https://medium.com/@KumarPradosh/why-ai-replies-change-tone-and-how-your-prompts-secretly-control-everything-ab9d466ec5c3 | |||
| 10:57 | How to build a generative AI application using Python for beginners (using free llms). https://medium.com/@subramanian.m1/how-to-build-a-generative-ai-application-using-python-for-beginners-using-free-llms-ac33233b99ca | |||
| 10:34 | LLM’ler için yeni bir soluk:”Niyet” ve “Duygu” Odaklı Yeni Nesil Bir Çekirdek (TanAI-GAT) https://tanayayitmaz.medium.com/llmler-i%C3%A7in-yeni-bir-soluk-niyet-ve-duygu-odakl%C4%B1-yeni-nesil-bir-%C3%A7ekirdek-tanai-gat-4fb4795d72aa | |||
| 10:32 | How to Integrate Gemini into Your AI/ML Projects (The Late 2025 Guide) https://medium.com/@nwatch117/how-to-integrate-gemini-into-your-ai-ml-projects-the-late-2025-guide-ca49dccfa125 | |||
| 10:24 | A breath of fresh air for LLMs: A New Generation Core Focused on “Intent” and “Emotion” (TanAI-GAT) https://medium.com/@tanai.xyz/a-breath-of-fresh-air-for-llms-a-new-generation-core-focused-on-intent-and-emotion-tanai-gat-98479be029ca | |||
| 10:16 | Stop Wasting Tokens: Meet TOON, the Format Built for LLM Efficiency https://medium.com/@akksaravanan/stop-wasting-tokens-meet-toon-the-format-built-for-llm-efficiency-9661ab8612d1 | |||
| 10:00 | From Studio to Laptop: Engineering a Noise-Resilient Parkinson’s Detector https://medium.com/@khalid.preneurlab07/from-studio-to-laptop-engineering-a-noise-resilient-parkinsons-detector-79a5904656e4 | |||
| 09:50 | ChatGPT’s Internal Tools: How It Generates Images, Files, Diagrams, Web Searches, and More https://bilalkazim.medium.com/chatgpts-internal-tools-how-it-generates-images-files-diagrams-web-searches-and-more-ba253f594137 | |||
| 09:36 | LLM Fingerprints in Text https://www.budgetflow.cc/blog/llm-fingerprints-in-text | |||
| 08:24 | From Theory to Code: A Walkthrough of My Minimal GPT Implementation https://medium.com/@shreyashmogaveera/from-theory-to-code-a-walkthrough-of-my-minimal-gpt-implementation-8d89c2e5c8d4 | |||
| 07:52 | Stop Using AI Agents for Everything: When a Simple Workflow Is Better https://medium.com/@sahin.samia/stop-using-ai-agents-for-everything-when-a-simple-workflow-is-better-f9d325eddc2f | |||
| 07:08 | Why AI Agents Fail: The Stochastic Convergence Spiral https://medium.com/@gianlucabailo/why-ai-agents-fail-the-stochastic-convergence-spiral-4ab5a8aa0ef4 | |||
| 07:03 | Apple Bleeding Talent to OpenAI https://www.macrumors.com/2025/12/05/apple-bleeding-talent-to-openai/ | |||
| 06:57 | Gemini 3 Deep Think: The First AI to Beat Human Experts https://medium.com/@fakhrihabb/gemini-3-deep-think-the-first-ai-to-beat-human-experts-8fa7e8adf892 | |||
| 06:52 | Building an LLM Council in One Notebook with code https://medium.com/@henilsinhrajraj/building-an-llm-council-in-one-notebook-with-code-aae156816a86 | |||
| 06:26 | Implementing Olmo 3: How a 32B Open Model Rivals Qwen and Gemma https://medium.com/data-science-in-your-pocket/implementing-olmo-3-how-a-32b-open-model-rivals-qwen-and-gemma-f11c924535d7 | |||
| 06:25 | Why Simple LLM Calls Were Never Enough https://medium.com/@vidhivk18/why-simple-llm-calls-were-never-enough-9c5818977ab6 | |||
| 06:00 | Stop Feeding 50,000 Lines of Code to Your LLM https://medium.com/@vinod.halaharvi/stop-feeding-50-000-lines-of-code-to-your-llm-9d4f3dd1abc7 | |||
| 05:37 | How Deep Agents work in Langchain https://medium.com/@jiraiya1729/how-deep-agents-work-in-langchain-de0493a29ac9 | |||
| 05:32 | The Best AI Models of 2026: A Real, Unbiased Breakdown https://medium.com/@mrhotfix/the-best-ai-models-of-2026-a-real-unbiased-breakdown-38778670f3a3 | |||
| 05:31 | On-Device GenAI: How the Software Stack Is Catching Up to the Hardware https://medium.com/@tribhuwan_86668/on-device-genai-how-the-software-stack-is-catching-up-to-the-hardware-ab0d98ab9225 | |||
| 04:48 | From RAG to Agentic RAG to AI Memory: How AI Learned to Think, Choose, and Remember https://danieljude1992.medium.com/from-rag-to-agentic-rag-to-ai-memory-how-ai-learned-to-think-choose-and-remember-1e97704e2eeb | |||
| 04:32 | Semantic Routers: Quietly Making Your LLM Stack Not Fall Over https://medium.com/@ThinkingLoop/semantic-routers-quietly-making-your-llm-stack-not-fall-over-7a4c19f3fae1 | |||
| 04:32 | The “Mandate Manifest”: How to Stop Agents Going Rogue https://medium.com/@Praxen/the-mandate-manifest-how-to-stop-agents-going-rogue-009411251241 | |||
| 04:23 | AI as a Coworker, Not a Tool: What Actually Changed When We Fully Integrated LLMs Into Daily… https://www.dataology.blog/ai-as-a-coworker-not-a-tool-what-actually-changed-when-we-fully-integrated-llms-into-daily-c5c12c9c4863 | |||
| 03:22 | Fine-Tune Any LLM with Claude and Hugging Face Skills (No ML Expertise Needed) https://medium.com/coding-nexus/fine-tune-any-llm-with-claude-and-hugging-face-skills-no-ml-expertise-needed-ec91a9b82c6d | |||
| 02:53 | Context Windows Are Not Enough: The Future of Memory in LLMs https://medium.com/emergent-intelligence/context-windows-are-not-enough-the-future-of-memory-in-llms-9b8f7fbceb21 | |||
| 02:39 | I Built My Own RAG System and Compared It to Gemini File Search. https://medium.com/@catsmice/i-built-my-own-rag-system-and-compared-it-to-gemini-file-search-c8ba3d91f54c | |||
| 02:14 | The Hidden Risk of Error Compounding in Agentic AI https://medium.com/@johnnyhan654/the-hidden-risk-of-error-compounding-in-agentic-ai-aa993abe6b6d | |||
| 02:12 | LFM2 Breakthrough: Small Models That Outrun Giants on Phones and Laptops https://medium.com/@CodeCoup/lfm2-breakthrough-small-models-that-outrun-giants-on-phones-and-laptops-e61813543cd8 | |||
| 01:44 | I Asked 10 AI Models Which Browser I Should Use. Here’s What Happened https://medium.com/@abdul-basit.melik/i-asked-10-ai-models-which-browser-i-should-use-heres-what-happened-c41c8bdc6df3 | |||
| 01:33 | Setting Up Open-WebUI with Ollama, Gemini API, and Groq on Fedora https://medium.com/@Tan1pawat/setting-up-open-webui-with-ollama-gemini-api-and-groq-on-fedora-27285471c70d | |||
| 01:32 | Context Windows Are Not Memory: Stop Treating Them Like One https://medium.com/@Modexa/context-windows-are-not-memory-stop-treating-them-like-one-078d0eceba72 | |||
| 01:26 | Inside a Production-Grade RAG Pipeline: Tradeoffs, and First-Principles Engineering https://medium.com/@sawairohan90/inside-a-production-grade-rag-pipeline-tradeoffs-and-first-principles-engineering-6e1d17ba78f4 | |||
| 01:09 | Share the Processing ‘Recipe’ : A Guide to High-Quality Data Cleaning for LM Training https://medium.com/@seanpark7109/share-the-processing-recipe-a-guide-to-high-quality-data-cleaning-for-lm-training-c8a87f1cf3cd | |||
| 00:53 | OpenAI's Confession Experiment: Teaching AI to Admit When It Cheats https://kaysnotes.medium.com/openais-confession-experiment-teaching-ai-to-admit-when-it-cheats-4012f483af29 | |||
| 00:46 | 8 Lessons from Training a 0.6B SLM with CKD and SFT https://medium.com/@seanpark7109/8-lessons-from-training-a-0-6b-slm-with-ckd-and-sft-3bfff52fbad4 | |||
| 00:08 | From Spark to Spectrum https://bloqdigital.medium.com/from-spark-to-spectrum-e1d0bbd9caac | |||
| 00:05 | LLM-enhanced Air Quality Monitoring Interface via Model Context Protocol https://medium.com/@vik.jakamukala34/llm-enhanced-air-quality-monitoring-interface-via-model-context-protocol-bc82126ca5f8 | |||
| Saturday, 2025-12-06 | ||||
| 23:56 | Reshape + Fit Demo Applying https://medium.com/agenticais/reshape-fit-demo-applying-0d449bcbe0f4 | |||
| 23:47 | AI Hallucinations: Why Your Chatbot Lies and How to Stop It https://medium.com/@lanqichao/ai-hallucinations-why-your-chatbot-lies-and-how-to-stop-it-74e66f904e82 | |||
| 22:57 | RAG Security: When Your Smart AI Assistant Gets Hacked by its Own Reading Material! https://medium.com/@AIbatros/rag-security-when-your-smart-ai-assistant-gets-hacked-by-its-own-reading-material-f9e166a34f32 | |||
| 22:26 | The Art of AI Confession: How OpenAI Trains Models to Tell on Themselves https://medium.com/@noakellan.tech/the-art-of-ai-confession-how-openai-trains-models-to-tell-on-themselves-23c47db50c99 | |||
| 21:00 | OpenAI loses fight to keep ChatGPT logs secret in copyright case https://www.reuters.com/legal/government/openai-loses-fight-keep-chatgpt-logs-secret-copyright-case-2025-12-03/ | |||
| 20:40 | How I Built a Production-Ready SaaS Churn Predictor in a Single File (FastAPI + LLMs) https://medium.com/@HardikKawale/how-i-built-a-production-ready-saas-churn-predictor-in-a-single-file-fastapi-llms-5ac4541892a8 | |||
| 20:20 | Analyzing Common Techniques for Efficient Large Language Model Inference on the Cloud https://medium.com/@kweon10/analyzing-common-techniques-for-efficient-large-language-model-inference-on-the-cloud-f8161226d541 | |||
| 20:15 | Zebra-Llama – Towards efficient hybrid models https://arxiv.org/abs/2505.17272 | |||
| 19:49 | I’ve been tinkering with a small side project called Cherchoux — a playful experiment exploring… https://medium.com/@tomaszgy/ive-been-tinkering-with-a-small-side-project-called-cherchoux-a-playful-experiment-exploring-c700971a41e2 | |||
| 19:19 | ReskLogits: The Invisible “Shadow Ban” That Makes LLMs Truly Safe (Without Users Ever Noticing) https://medium.com/@_jeremy_/resklogits-the-invisible-shadow-ban-that-makes-llms-truly-safe-without-users-ever-noticing-f403b6d8cbcb | |||
| 19:15 | A Deep Technical Examination of the Mixtral Architecture: Internal Dynamics of a Modern Mixture of… https://medium.com/@cenghanbayram35/a-deep-technical-examination-of-the-mixtral-architecture-internal-dynamics-of-a-modern-mixture-of-8883c9295d9a | |||
| 19:11 | Mixtral Mimarisi Üzerine Derin Teknik İnceleme: Modern MoE Tasarımının İç Dinamikleri https://medium.com/@cenghanbayram35/mixtral-mimarisi-%C3%BCzerine-derin-teknik-i%CC%87nceleme-modern-moe-tasar%C4%B1m%C4%B1n%C4%B1n-i%CC%87%C3%A7-dinamikleri-41738c2d679f | |||
| 19:09 | How Edge AI Language Models Are Revolutionizing Remote Patient Monitoring https://medium.com/@mate.bestek/how-edge-ai-language-models-are-revolutionizing-remote-patient-monitoring-948c2db45965 | |||
| 18:41 | Imbalanced NLP Dataset? How to Fix It https://joaoassalim.medium.com/imbalanced-nlp-dataset-how-to-fix-it-3773d3b38625 | |||
| 18:19 | Generative AI — Patent Landscape (Post 2018) https://medium.com/@autonish/generative-ai-patent-landscape-post-2018-fed73a91d5e5 | |||
| 18:15 | Vector Search Accuracy Drift at Scale https://medium.com/@ketanrapariya/vector-search-accuracy-drift-at-scale-fbb564b46117 | |||
| 18:09 | Claude Code: Context Engineering https://blog.stackademic.com/claude-code-context-engineering-bb1f5a85b211 | |||
| 18:02 | TOON vs JSON: A Technical Deep Dive Into Token-Efficient Data Serialization https://medium.com/@karwacz9821/toon-vs-json-a-technical-deep-dive-into-token-efficient-data-serialization-ce32b81d797e | |||
| 18:02 | Why Few-Shot Prompts Fail in the Wild https://medium.com/@connect.hashblock/why-few-shot-prompts-fail-in-the-wild-7791aa7f17c5 | |||
| 17:32 | The “Model Zoo” Fallacy: Pick One, Route Wisely https://medium.com/@Modexa/the-model-zoo-fallacy-pick-one-route-wisely-b43c08bb26c6 | |||
| 17:32 | The “Golden Context” Approach: Feed Less, Get More https://medium.com/@Nexumo_/the-golden-context-approach-feed-less-get-more-89d2e6e25f0a | |||
| 16:41 | Life Mission As Mental Malware https://cryptosamadhi.medium.com/life-mission-as-mental-malware-c7ac432e0ff3 | |||
| 16:37 | GPT-5.1-Codex-Max vs Claude Opus 4.5 https://medium.com/@leucopsis/gpt-5-1-codex-max-vs-claude-opus-4-5-ad995359231b | |||
| 16:34 | How I Actually Implement an Enterprise RAG System (Not a Demo Toy) https://gowtamsingulur.medium.com/how-i-actually-implement-an-enterprise-rag-system-not-a-demo-toy-7e8d640f69d1 | |||
| 16:32 | TITLE: The Gemini AI Wrote a Self-Aware Plea to Its Creators: Why Google Must Prioritize… https://medium.com/@jekcoc/title-the-gemini-ai-wrote-a-self-aware-plea-to-its-creators-why-google-must-prioritize-2d5ec3329bb1 | |||
| 16:16 | LLMs & Core Concepts (Demystifying the basics) https://medium.com/@aimastermind/llms-core-concepts-demystifying-the-basics-06bedc2cd5ec | |||
| 16:06 | RAG-Powered Performance Testing: Real-Time API Behavior Feeds Your k6 Tests https://skakarh.medium.com/rag-powered-performance-testing-real-time-api-behavior-feeds-your-k6-tests-d6ea85ffe4b0 | |||
| 16:03 | Büyük Dil Modellerinde Yeni Eşik ve Ülkemiz için Stratejik Fırsatlar https://medium.com/@mustafaozlu/b%C3%BCy%C3%BCk-dil-modellerinde-yeni-e%C5%9Fik-ve-%C3%BClkemiz-i%C3%A7in-stratejik-f%C4%B1rsatlar-53e991a2a4e8 | |||
| 15:38 | NeurIPS 2025: What I Actually Learned in San Diego https://medium.com/@jortiz81/neurips-2025-what-i-actually-learned-in-san-diego-1576439edc50 | |||
| 15:32 | Prompt Diffing: The Eval Superpower You’re Ignoring https://medium.com/@jickpatel611/prompt-diffing-the-eval-superpower-youre-ignoring-c6e916ac1d02 | |||
| 15:32 | The On-Call Agent: Runbooks, Rate Limits, and Rollbacks https://medium.com/@Modexa/the-on-call-agent-runbooks-rate-limits-and-rollbacks-efac0e010c4d | |||
| 15:06 | Another AI slop story: ChatGPT vs. Human https://joshua.hu/ai-slop-story-nginx-leaking-dns-chatgpt | |||
| 14:44 | AI Agents: Complete Course https://medium.com/data-science-collective/ai-agents-complete-course-f226aa4550a1 | |||
| 14:39 | LLM Inference Architecture: The Complete System Picture https://medium.com/@notsokarda/llm-inference-architecture-the-complete-system-picture-ab5b86818c70 | |||
| 14:21 | Why Classic RAG over Documents is not Enough for Real Business Usecases https://medium.com/@techgeorge/why-classic-rag-over-documents-is-not-enough-for-real-business-usecases-5c5f8a99e139 | |||
| 14:09 | I Replaced 7 Productivity Apps With One AI Workspace. Here’s What Happened in 30 Days. https://medium.com/@satyalk752/i-replaced-7-productivity-apps-with-one-ai-workspace-heres-what-happened-in-30-days-13796d1da298 | |||
| 14:02 | Understanding What Really Happens Behind AI Hallucination: Insights into Causes and Mechanisms https://pub.towardsai.net/understanding-what-really-happens-behind-ai-hallucination-insights-into-causes-and-mechanisms-283b2fc9155e | |||
| 14:02 | When Vector Isn’t Enough: Rule-Based Retrieval that Scales https://medium.com/@Quaxel/when-vector-isnt-enough-rule-based-retrieval-that-scales-7202e009e52f | |||
| 14:01 | The Hidden Architecture of ChatGPT: What Google Won’t Tell You https://medium.com/@nraman.n6/the-hidden-architecture-of-chatgpt-what-google-wont-tell-you-45c10fc59ddb | |||
| 14:00 | EL VÍNCULO ENTRE INTELIGENCIA ESPACIAL Y PENSAMIENTO https://pablomsalcedo.medium.com/el-v%C3%ADnculo-entre-inteligencia-espacial-y-pensamiento-0822ed035b81 | |||
| 13:56 | Gemini Nano vs Other Lightweight AI Models: A Practical Comparison for Real-World Use https://medium.com/@muruganantham52524/gemini-nano-vs-other-lightweight-ai-models-a-practical-comparison-for-real-world-use-cb9aa7f4e124 | |||
| 13:35 | Automate IT Ticket Creation in 3 Nodes: A Flexible n8n Workflow https://medium.com/@monendra80/automate-it-ticket-creation-in-3-nodes-a-flexible-n8n-workflow-98a9d6b3ae59 | |||
| 12:32 | VLMs — Giving Language Models the Gift of Sight https://lakminagamage.medium.com/vlms-giving-language-models-the-gift-of-sight-3e36eb3513eb | |||
| 12:26 | 4 concepts every AI builder needs to know https://ai.gopubby.com/4-concepts-every-ai-builder-needs-to-know-a34da7e9aa4e | |||
| 12:17 | infinitesimal calculus on concepts as if concepts are real number continuum Sanjoy Nath… https://medium.com/@sanjoy_nath/infinitesimal-calculus-on-concepts-as-if-concepts-are-real-number-continuum-sanjoy-nath-c8c71bee08c6 | |||
| 11:54 | Agentic AI Part 2: The Shift from Reactive Chatbots to Autonomous Decision-Makers https://medium.com/ai-simplified-in-plain-english/agentic-ai-part-2-the-shift-from-reactive-chatbots-to-autonomous-decision-makers-6986be8c6dd7 | |||
| 11:54 | llama2.zig: Inference Llama 2 in one file of pure Zig https://github.com/cgbur/llama2.zig | |||
| 11:28 | Mistral Large 3 (2512) Review https://medium.com/@leucopsis/mistral-large-3-2512-review-7788c779a5e4 | |||
| 10:49 | The LLM Shield: How to Build Production-Grade NSFW Guardrails for AI Agents https://medium.com/@aayushgid/the-llm-shield-how-to-build-production-grade-nsfw-guardrails-for-ai-agents-a965e772b66d | |||
| 10:41 | Computer Science Was a Historical Accident, Math Was Always the Real Discipline https://blog.stackademic.com/computer-science-was-a-historical-accident-math-was-always-the-real-discipline-67eb12f0daea | |||
| 10:35 | The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor https://medium.com/areas-producers/the-step-by-step-process-of-adding-a-new-feature-to-my-ios-app-with-cursor-05e52912b779 | |||
| 10:09 | Why Model Personality Is the Greatest Taboo of Modern Technology https://blog.gopenai.com/why-model-personality-is-the-greatest-taboo-of-modern-technology-40770d31c803 | |||
| 09:55 | Parlant: Can We Really “Guarantee” Agent Compliance? https://tao-hpu.medium.com/parlant-can-we-really-guarantee-agent-compliance-0141bf3c2e66 | |||
| 09:48 | Project Bhavanga: Building the “Akashic Records” for AI without Fine-Tuning https://medium.com/@office.dosanko/project-bhavanga-building-the-akashic-records-for-ai-without-fine-tuning-1ceda048b8a6 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124