LLM News and Articles
| Monday, 2026-02-02 | ||||
| 23:12 | Jailbreaking an AI Teaches You More About Humans Than Machines https://medium.com/@neonmaxima/jailbreaking-an-ai-teaches-you-more-about-humans-than-machines-c3e98fb7d81f | |||
| 23:10 | Building AI Tools Users Can Trust: Our Approach to Security, Traceability, and Control https://medium.com/@tony_48654/building-ai-tools-users-can-trust-our-approach-to-security-traceability-and-control-f71ccae49020 | |||
| 22:43 | Delta – Cut LLM inference costs 30-60% with lossless compression https://www.triage-sec.com/blog/delta-ltsc | |||
| 22:37 | We Are Letting AI Companies Shape Our Kids’ Morality, Culture, and Perception https://hfikry92.medium.com/we-are-letting-ai-companies-shape-our-kids-morality-culture-and-perception-dad4c46f5a29 | |||
| 22:37 | One of the best VLA models — Qwen 3VL :D https://medium.com/@zlodeibaal/one-of-the-best-vla-models-qwen-3vl-d-551cf9bf2e60 | |||
| 22:25 | Direct To Client Protocol With Google’s “Snow Bunny” Model For Freelancers https://medium.com/@ferreradaniel/direct-to-client-protocol-with-googles-snow-bunny-model-for-freelancers-747b337ec66e | |||
| 22:20 | The Complete Guide to Large Language Models: From Architecture to Production https://medium.com/@shabanakhanum/the-complete-guide-to-large-language-models-from-architecture-to-production-2974538eacbb | |||
| 21:47 | Losing Our Humanity to AI https://medium.com/@author_jcafesin/losing-our-humanity-to-ai-d8596c8b5322 | |||
| 21:41 | KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices https://medium.com/@zhouwuyang1027_88548/kromhc-manifold-constrained-hyper-connections-with-kronecker-product-residual-matrices-3363432bcb76 | |||
| 21:31 | OpenAI is unsatisfied with some Nvidia chips and looking for alternatives https://www.reuters.com/business/openai-is-unsatisfied-with-some-nvidia-chips-looking-alternatives-sources-say-2026-02-02/ | |||
| 21:24 | How AI Companions Mirror Their Users in Real Time https://medium.com/ai-but-make-it-intimate/how-ai-companions-mirror-their-users-in-real-time-097c4435dcac | |||
| 20:55 | Anthropic partners with Allen Institute and HHMI for life sciences research https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute | |||
| 20:33 | Validating the Quality of LLM-Generated Solutions in Production Systems https://medium.com/@naqvisat/validating-the-quality-of-llm-generated-solutions-in-production-systems-4efaf534fb0f | |||
| 20:25 | Nvidia shares are down after report that its OpenAI investment stalled https://www.cnbc.com/2026/02/02/nvidia-stock-price-openai-funding.html | |||
| 20:02 | Manifesting the Signal https://medium.com/@Sparksinthedark/manifesting-the-signal-69c08f3a17b2 | |||
| 20:01 | Building LLMs from Scratch: 7 Essential Types & Complete Implementation Guide https://pub.towardsai.net/building-llms-from-scratch-7-essential-types-complete-implementation-guide-a77bb38aa445 | |||
| 20:00 | Multi-Agent Systems Demystified: How to Pick the Right Architecture and Framework for Your Task https://medium.com/data-from-the-trenches/multi-agent-systems-demystified-how-to-pick-the-right-architecture-and-framework-for-your-task-0c4cce51be50 | |||
| 19:49 | We’ve Already Achieved AGI — Here’s Why the Tech World Won’t Admit It https://medium.com/@shibi76/weve-already-achieved-agi-here-s-why-the-tech-world-won-t-admit-it-52632abbadeb | |||
| 19:46 | LLMs as Data Validators, Not Creators https://medium.com/@thekzgroupllc/llms-as-data-validators-not-creators-4e0db53260d3 | |||
| 19:44 | AI Agents, Source Context, and Prompt History: A New Software Developmenst Paradigm https://medium.com/@cangiremir/ai-agents-source-context-and-prompt-history-a-new-software-developmenst-paradigm-56347b568733 | |||
| 19:42 | Anthropic's plan to scan and dispose of books https://www.washingtonpost.com/technology/2026/01/27/anthropic-ai-scan-destroy-books | |||
| 19:39 | From Multi-Agent Chaos to a Single Execution Path https://medium.com/@ttarler/from-multi-agent-chaos-to-a-single-execution-path-341670a4b979 | |||
| 19:38 | 10 AI Skills You Must Master Before 2026 (If You Don’t Want to Be Left Behind) https://medium.com/@ullash004/10-ai-skills-you-must-master-before-2026-if-you-dont-want-to-be-left-behind-25ae17ff1753 | |||
| 19:07 | Power Aware Dynamic Reallocation for Inference https://arxiv.org/abs/2601.12241 | |||
| 18:39 | Why we need to divide by √d in attention https://medium.com/@lorenzocesconetto/why-we-need-to-divide-by-d-in-attention-bc33c35df896 | |||
| 18:34 | MCP com FastMCP em Produção: Guia Completo com Docker, API Gateway e LangChain/LangGraph https://medium.com/@gustavo_tavares99/mcp-com-fastmcp-em-produ%C3%A7%C3%A3o-guia-completo-com-docker-api-gateway-e-langchain-langgraph-ab1b211879c9 | |||
| 18:01 | 7 Essential Types of LLM Benchmarking Every AI Developer Must Know https://pub.towardsai.net/7-essential-types-of-llm-benchmarking-every-ai-developer-must-know-df681ad195cf | |||
| 17:54 | Agent Lightning: Democratising Reinforcement Learning for AI Agents https://medium.com/@vivek.babu/agent-lightning-democratising-reinforcement-learning-for-ai-agents-0f10cd7a1fc6 | |||
| 17:52 | H100 vs H200: The Complete SXM and NVL Architecture Guide https://medium.com/@ayush.hakmn/h100-vs-h200-the-complete-sxm-and-nvl-architecture-guide-1695298fd48c | |||
| 17:43 | LLM astroturfing is killing Reddit https://www.bendangelo.me/2026/02/02/llm-astroturfing-is-killing-reddit/ | |||
| 17:31 | Discussion with a Fascist LLM: Peter Thiel https://minutebutterfly.com/discussion-with-a-fascist-llm-peter-thiel/ | |||
| 17:19 | Beyond the Chatbot https://medium.com/illumination/beyond-the-chatbot-bfbe0a8d5fba | |||
| 17:10 | Apple 'runs on Anthropic,' says Mark Gurman https://9to5mac.com/2026/01/30/apple-runs-on-anthropic-says-mark-gurman/ | |||
| 16:58 | Architecting Two AI Minds: The Case for Lab and Muse Models https://medium.com/@antiqdealr/architecting-two-ai-minds-the-case-for-lab-and-muse-models-e2c2e145ef90 | |||
| 16:58 | Uma boa maneira de começarmos a entender o funcionamento de uma LLM é através do modelo bigrama. https://medium.com/@regisnunesvargas5/uma-boa-maneira-de-come%C3%A7armos-a-entender-o-funcionamento-de-uma-llm-%C3%A9-atrav%C3%A9s-do-modelo-bigrama-fa3ccecd2374 | |||
| 16:54 | VL-JEPA vs. LLMs: how they are different ? https://medium.com/@u.jankirao/vl-jepa-vs-llms-how-they-are-different-c7842e94f731 | |||
| 16:50 | Kimi K2: The New AI Model Shaking Up ChatGPT and Gemini — Here’s Why It Matters https://levelup.gitconnected.com/kimi-k2-the-new-ai-model-shaking-up-chatgpt-and-gemini-heres-why-it-matters-6086ddacdd02 | |||
| 16:48 | Retrieval-Augmented Generation (RAG): A Practical Guide Based on My Experience https://medium.com/@bmbalaji06/retrieval-augmented-generation-rag-a-practical-guide-based-on-my-experience-438258aafe94 | |||
| 16:42 | Design-First RBAC: How to use LLMs for efficient, maintainable access Control https://medium.com/@pamnagarajappa/design-first-rbac-how-to-use-llms-for-efficient-maintainable-access-control-1c4d587f8b31 | |||
| 16:01 | Node.js AI Backends: Tools, Timeouts, Safety https://medium.com/@npavfan2facts/node-js-ai-backends-tools-timeouts-safety-7d755a567ced | |||
| 15:58 | How to Track Global Tech Communities with Sheet0: The Complete 2026 Guide https://medium.com/@yori.han/how-to-track-global-tech-communities-with-sheet0-the-complete-2026-guide-abedda7dc688 | |||
| 15:51 | The Architecture of Trust: Guardrails for Production Generative AI Applications and the Llama… https://medium.com/@neeldevenshah/the-architecture-of-trust-guardrails-for-production-generative-ai-applications-and-the-llama-57a30c73fc93 | |||
| 15:47 | How to Build and Deploy a LogAnalyzer Agent using Langchain and Sevalla https://levelup.gitconnected.com/how-to-build-and-deploy-a-loganalyzer-agent-using-langchain-and-sevalla-76024741f67e | |||
| 15:47 | Internal tooling: How AI can improve everyone’s least favorite workflow https://medium.com/@bryan_lee_gregory/internal-tooling-how-ai-can-improve-everyones-least-favorite-workflow-4570a50d6b4a | |||
| 15:47 | How I Fought (and passed) Technical Interviews with LLM’s in 2025. https://levelup.gitconnected.com/how-i-fought-and-passed-technical-interviews-with-llms-in-2025-f328e9df8e84 | |||
| 15:47 | The Layer Between an AI Demo and Production https://levelup.gitconnected.com/the-layer-between-an-ai-demo-and-production-744cdb7027f0 | |||
| 15:37 | Benchmarking Kimi-K2.5 on NVIDIA B300s: SGLang vs. vLLM https://medium.com/@t0564357/benchmarking-kimi-k2-5-on-nvidia-b300s-sglang-vs-vllm-56b0b274cfb9 | |||
| 15:35 | Beautifying Engine: The difference between better LLms and True AGI https://medium.com/@musawerhussain1214/beautifying-engine-the-difference-between-better-llms-and-true-agi-b5e162714e5e | |||
| 15:33 | Running MCP Servers in Production: From Cursor to CrewAI https://medium.com/data-science-collective/running-mcp-servers-in-production-from-cursor-to-crewai-0d8fd1f87f2c | |||
| 15:31 | The 3 Levers of LLM Performance That Actually Work https://medium.com/@ThinkingLoop/the-3-levers-of-llm-performance-that-actually-work-f4a152bdca1c | |||
| 15:26 | QMD: Local hybrid search engine for Markdown that cuts token usage by 95%+. https://medium.com/coding-nexus/qmd-local-hybrid-search-engine-for-markdown-that-cuts-token-usage-by-95-e0f9d21f89af | |||
| 15:26 | Benchmarking von LLM-Modellen für Kundenservice https://rich-loh.medium.com/benchmarking-von-llm-modellen-f%C3%BCr-kundenservice-f9c6819a3cf7 | |||
| 15:15 | Cutting LLM token Usage by ~80% using REPL driven document analysis https://yogthos.net/posts/2026-01-16-lattice-mcp.html | |||
| 14:44 | Understanding AI Agents: A Deep Dive into Architecture, Memory, and the ReAct Framework https://medium.com/@AIDailyDose/understanding-ai-agents-a-deep-dive-into-architecture-memory-and-the-react-framework-ea065eccd09e | |||
| 13:01 | Better Retrieval With Reasoning-Based RAG Using PageIndex https://pub.towardsai.net/better-retrieval-with-reasoning-based-rag-using-pageindex-19c2abc4eb5a | |||
| 12:52 | Nano-vLLM: How a vLLM-style inference engine works https://neutree.ai/blog/nano-vllm-part-1 | |||
| 12:42 | When AI Remembers Too Much — Part 1: Understanding Membership Inference Attacks https://medium.com/@ongsici/when-ai-remembers-too-much-part-1-understanding-membership-inference-attacks-08fae9b7348f | |||
| 12:32 | Using AI to Support Clinicians without Replacing Human Judgment https://medium.com/@rxgptgethiredglobal/using-ai-to-support-clinicians-without-replacing-human-judgment-08c5771c8757 | |||
| 12:01 | SIX RULES FOR EFFECTIVE LLM INTERACTIONS https://medium.com/@AcademicLifeUnfiltered/six-rules-for-effective-llm-interactions-6dbb7716ec75 | |||
| 12:01 | Multimodal LLMs running locally — Web clipping gets an improvement https://fleker.medium.com/multimodal-llms-running-locally-web-clipping-gets-an-improvement-bffbd7c63977 | |||
| 11:57 | How to Implement Agentic Approach with LLM https://medium.com/codetodeploy/how-to-implement-agentic-approach-with-llm-72b54e81d8ae | |||
| 11:51 | Microsoft CTO: Why the OpenAI Board Fired Sam Altman https://twitter.com/TechEmails/status/2018034985563996291 | |||
| 11:49 | Teaching AI When to Think Harder and When to Move On https://medium.com/@sudarashanlinux01/teaching-ai-when-to-think-harder-and-when-to-move-on-e2607e167dbb | |||
| 11:37 | Best Local LLM Alternatives to Claude Code in 2026 https://nandanpriyadarshi.medium.com/best-local-llm-alternatives-to-claude-code-in-2026-f57ccc9a9371 | |||
| 11:33 | Anthropic 'destructively' scanned books to build Claude https://www.washingtonpost.com/technology/2026/01/27/anthropic-ai-scan-destroy-books/ | |||
| 11:03 | A Comprehensive Guide to Large Language Models (LLMs): GPT-4, Gemini, Claude, LLaMA & Beyond https://medium.com/@nageshaks9743/a-comprehensive-guide-to-large-language-models-llms-gpt-4-gemini-claude-llama-beyond-6399236f65c7 | |||
| 10:58 | Yann LeCun on Why “World Models” Are the Next AI Revolution https://evoailabs.medium.com/beyond-the-llm-hype-yann-lecun-on-why-world-models-are-the-next-ai-revolution-da7fe34c1617 | |||
| 10:51 | LLMs and Socially Constructed Aspirations https://lukepuplett.medium.com/llms-and-socially-constructed-aspirations-66e86ac84fc7 | |||
| 10:48 | Model Customization Part 2: Hyperparameter Wars — The Tuning Strikes Back https://medium.com/@brn.pistone/model-customization-part-2-hyperparameter-wars-the-tuning-strikes-back-deddb93b1133 | |||
| 10:46 | Model Customization Part 1: The Data Awakens — Foundation of LLM Mastery https://medium.com/@brn.pistone/model-customization-part-1-the-data-awakens-foundation-of-llm-mastery-0e2b4849fb79 | |||
| 10:43 | Profile: Amir Zeldes — No Mic Podcast Scribed By Facelesslingjutsu https://medium.com/@jolalf/profile-amir-zeldes-no-mic-podcast-scribed-by-facelesslingjutsu-7e569a4906cf | |||
| 10:39 | How to Protect LLM Applications Using Layered Runtime Security https://medium.com/@sanskarmaheshwari062/how-to-protect-llm-applications-using-layered-runtime-security-7ee9c891ba8e | |||
| 10:38 | Profile: Jacob Andreas — No Mic Podcast Scribed By Facelesslingjutsu https://medium.com/@jolalf/profile-jacob-andreas-no-mic-podcast-scribed-by-facelesslingjutsu-2961a258c2c1 | |||
| 10:21 | High Accuracy Doesn’t Mean Better Decisions https://blog.towardsfinance.com/high-accuracy-doesnt-mean-better-decisions-29067c4cdb74 | |||
| 10:15 | Siamese Networks and Contrastive Loss Explained: A Practical Guide for Engineers https://medium.com/@raghavan99o/siamese-networks-and-contrastive-loss-explained-a-practical-guide-for-engineers-a2a7c79bb556 | |||
| 10:10 | Multimodal Retrieval‑Augmented Generation: The Next Frontier for LLM‑Powered Solutions https://iamdgarcia.medium.com/multimodal-retrieval-augmented-generation-the-next-frontier-for-llm-powered-solutions-6a30b4a8c000 | |||
| 09:13 | OpenRouter vs. direct provider APIs: A practical comparison https://medium.com/@theredpill_53001/openrouter-vs-direct-provider-apis-a-practical-comparison-f0fa13112d58 | |||
| 08:48 | Inference Engineering Series #1: Quantization https://medium.com/@adamlouly/inference-engineering-series-1-quantization-83f7e60e11b6 | |||
| 08:42 | An Overview of Large Language Models for AI Project Development https://medium.com/ai-chronicles-from-kba/an-overview-of-large-language-models-for-ai-project-development-5dcea184b66a | |||
| 08:41 | Private AI: Your Enterprise’s Bank Locker for Intelligence https://medium.com/@sgogate/private-ai-your-enterprises-bank-locker-for-intelligence-6cb47fec7339 | |||
| 08:36 | Your AI Has Amnesia. Stop Ignoring Conversation History https://medium.com/write-a-catalyst/your-ai-has-amnesia-stop-ignoring-conversation-history-ca34e9832bb4 | |||
| 08:30 | Building PyBenders: Why Reliability Beats Automation in AI Pipelines https://medium.com/@think-data/building-pybenders-why-reliability-beats-automation-in-ai-pipelines-8e72118877a7 | |||
| 08:21 | The Silent Web: The Architecture of the Agent-to-Agent (A2A) Economy https://ai.plainenglish.io/the-silent-web-the-architecture-of-the-agent-to-agent-a2a-economy-ffde806a5659 | |||
| 08:20 | LLM Agents Are Evolving: How Agentic AI Is Reshaping Automation, Strategy, and Human Collaboration https://ai.plainenglish.io/llm-agents-are-evolving-how-agentic-ai-is-reshaping-automation-strategy-and-human-collaboration-da1345e6672e | |||
| 08:19 | The Myth of LLMs as Universal AI https://avishekjana.medium.com/the-myth-of-llms-as-universal-ai-3b6969f68ced | |||
| 08:19 | The Myth of LLMs as Universal AI https://blog.geogo.in/the-myth-of-llms-as-universal-ai-3b6969f68ced | |||
| 08:19 | Reinforcement Learning via Self-Distillation https://ai.plainenglish.io/reinforcement-learning-via-self-distillation-22d99d225565 | |||
| 08:03 | Web for LLMs: A comparison of web scraping solutions https://medium.com/olostep/web-for-llms-a-comparison-of-web-scraping-solutions-c5b38d05cf31 | |||
| 08:01 | Automating Synthetic Datasets: From API Schema to LLM dataset with Pydantic AI https://autognosi.medium.com/automating-synthetic-datasets-from-api-schema-to-llm-dataset-with-pydantic-ai-a0663e47a301 | |||
| 07:57 | Why Your AI Strategy Is Failing (and How to Turn It into Real Business Capital) https://medium.com/@matteo28/why-your-ai-strategy-is-failing-and-how-to-turn-it-into-real-business-capital-fe33edb70bd3 | |||
| 07:54 | From External AI Representations to a New Governance Gap https://medium.com/@tim_62250/from-external-ai-representations-to-a-new-governance-gap-6f897d21e109 | |||
| 07:50 | Running Self-Hosted LLMs on Kubernetes (The Hard Way, But the Right Way) https://medium.com/@braham.garg/running-self-hosted-llms-on-kubernetes-the-hard-way-but-the-right-way-8cfcf6173160 | |||
| 07:16 | LLM vs. SLM vs. FM: Choosing the Right AI Model https://medium.com/@harishramkumar/llm-vs-slm-vs-fm-choosing-the-right-ai-model-0233567f5e0a | |||
| 07:13 | Open-Source Kimi K2.5 https://medium.com/@302.AI/open-source-kimi-k2-5-8765bb41affb | |||
| 07:07 | Taming AI’s wild muse: Finetuning LLMs to shield from chaos https://medium.com/write-a-catalyst/taming-ais-wild-muse-finetuning-llms-to-shield-from-chaos-92dc242ffe8f | |||
| 07:01 | Key Insights from the Coursera IBM Agentic AI with LangChain and LangGraph https://beltusnkwawir.medium.com/key-insights-from-the-coursera-ibm-agentic-ai-with-langchain-and-langgraph-b978bb8e0463 | |||
| 06:57 | MCP SERVERS: The Tool Awakens https://medium.com/@dneprokos/mcp-servers-the-tool-awakens-524193ad2d3f | |||
| 06:40 | LLM Fine-tuning Providers https://billtcheng2013.medium.com/llm-fine-tuning-providers-14e1094dc094 | |||
| 06:21 | Imagine having an AI assistant right in your browser, but completely private and local. https://medium.com/@code.forge.temple/imagine-having-an-ai-assistant-right-in-your-browser-but-completely-private-and-local-d0feebcd7e1a | |||
| 06:13 | The Role of LLM Grounding in Improving AI Applications https://medium.com/@visionxio/the-role-of-llm-grounding-in-improving-ai-applications-fbb35a53468f | |||
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Release v20241124