LLM News and Articles
| Saturday, 2026-01-10 | ||||
| 23:48 | From Pretraining to Post-Training: How LLMs Learn to Follow Instructions https://medium.com/@zhangchenyu555/from-pretraining-to-post-training-how-llms-learn-to-follow-instructions-044bbee90e73 | |||
| 23:47 | AI Updates — January 9, 2026: Speed, Security, and the Rise of Small Models https://medium.com/@olek.bznv/ai-updates-january-9-2026-speed-security-and-the-rise-of-small-models-d6f9446775ab | |||
| 23:32 | Building a Conversational AI to teach an Underrepresented Language https://medium.com/@bisbis.kamil/building-a-conversational-ai-to-teach-an-underrepresented-language-8dd118d17562 | |||
| 23:13 | Context is King: How to Actually Use LLMs for Coding https://medium.com/@chappi787/context-is-king-how-to-actually-use-llms-for-coding-09ea5cf3f2ae | |||
| 23:00 | AI: The Will Hunting of Our Age https://medium.com/@chipmunkworks/ai-the-will-hunting-of-our-age-59952c1744f1 | |||
| 23:00 | Token-Oriented Object Notation: Why adopting TOON could be a bad idea ! https://medium.com/@navaneethpdileep/token-oriented-object-notation-why-adopting-toon-could-be-a-bad-idea-b5ac7ddd843c | |||
| 22:45 | The End of Marketplaces: Why LLM Stores Can Replace Them Within Several Years https://medium.com/@codcl/the-end-of-marketplaces-why-llm-stores-can-replace-them-within-several-years-6d07a75ef104 | |||
| 22:28 | PEER: Parameter Efficient Expert Retrieval https://medium.com/@mbonsign/peer-parameter-efficient-expert-retrieval-9fb72d3828b8 | |||
| 22:21 | Digital Homesteading https://medium.com/@kase1111/digital-homesteading-ca534fffe9e9 | |||
| 21:30 | LLM coding workflow going into 2026 https://medium.com/@addyosmani/my-llm-coding-workflow-going-into-2026-52fe1681325e | |||
| 21:21 | Recursive Language Model(RLM) — A Game Changer for LLMs https://medium.com/@rameshwar.blog/recursive-language-model-rlm-a-game-changer-for-llms-e728bf3e3ac2 | |||
| 21:16 | Why most machine learning failures are not model failures https://medium.com/@lorenzo.kotalla/why-most-machine-learning-failures-are-not-model-failures-1c801888d72e | |||
| 20:31 | Connecting LLMs to my debugging flow to fix a memory crash https://dvirsegal.medium.com/connecting-llms-to-my-debugging-flow-to-fix-a-memory-crash-eb42bbb2d174 | |||
| 20:24 | Testei o MiniMax 2.1 e o resultado é melhor do que eu esperava https://medium.com/@raniss/testei-o-minimax-2-1-e-o-resultado-%C3%A9-melhor-do-que-eu-esperava-815fd1088791 | |||
| 19:56 | When the reader is a machine: the case for llms.txt https://medium.com/enrique-dans/when-the-reader-is-a-machine-the-case-for-llms-txt-75ff63809b63 | |||
| 19:45 | Stop asking AI “What do you think?” https://medium.com/write-your-world/stop-asking-ai-what-do-you-think-33a9a61663d7 | |||
| 19:43 | AWS: Rise of Custom AI Chips https://sarthakvj.medium.com/aws-rise-of-custom-ai-chips-7959a9f1729e | |||
| 19:30 | The Complete Guide to Agentic AI (PART #3): Advanced Multi-Agent Orchestration & Production… https://bishalbose294.medium.com/the-complete-guide-to-agentic-ai-part-3-advanced-multi-agent-orchestration-production-42c0ffb18033 | |||
| 19:26 | Rubrik Tabanlı Geri Bildirim ile Reinforcement Learning from AI Feedback (RLAIF) — Part 1 https://alican-kiraz1.medium.com/rubrik-tabanl%C4%B1-geri-bildirim-ile-reinforcement-learning-from-ai-feedback-rlaif-part-1-f3b867e0778d | |||
| 19:25 | Reinforcement Learning from AI Feedback (RLAIF) with Rubric-Based Feedback — Part 1 https://alican-kiraz1.medium.com/reinforcement-learning-from-ai-feedback-rlaif-with-rubric-based-feedback-part-1-6bd4d13e1ca6 | |||
| 19:11 | I Built a Job Application AI Agent That Generates Tailored Cover Letters https://medium.com/@shanawazhussain437/i-built-a-job-application-ai-agent-that-generates-tailored-cover-letters-2a70072dbeaa | |||
| 19:10 | Beyond the 80% Barrier: Engineering LLM-based Text-to-SQL Systems That Actually Work https://medium.com/@vinitwip/beyond-the-80-barrier-engineering-llm-based-text-to-sql-systems-that-actually-work-2015339712a5 | |||
| 19:10 | Expanding AI Capabilities with Graph-Based Reasoning https://medium.com/@khuranasmiti700/expanding-ai-capabilities-with-graph-based-reasoning-28587d82cdb3 | |||
| 19:06 | My 60-Day LLM Challenge: Understanding Deep Learning from the Ground Up (2nd Day) https://medium.com/@hassanain.imsciences/my-60-day-llm-challenge-understanding-deep-learning-from-the-ground-up-2nd-day-44700d5d8d0c | |||
| 19:03 | Cuando el OCR moderno choca con lenguas indígenas: Un experimento con guaraní — Parte 1 https://medium.com/@enpaiva93.ia/cuando-el-ocr-moderno-choca-con-lenguas-ind%C3%ADgenas-un-experimento-con-guaran%C3%AD-parte-1-79f05e7930b3 | |||
| 19:02 | Model Context Protocol (MCP): Why Every AI Developer Needs MCP in 2026 https://pub.towardsai.net/model-context-protocol-mcp-why-every-ai-developer-needs-mcp-in-2026-e68d39a49417 | |||
| 18:06 | The 0 AI Tip Trick Is Dumb… and It Works Anyway https://aws.plainenglish.io/the-200-ai-tip-trick-is-dumb-and-it-works-anyway-0540e7343274 | |||
| 18:01 | What Are Recursive Language Models? https://alexmercedtech.medium.com/what-are-recursive-language-models-dfebd32dfc15 | |||
| 17:39 | In software, the code documents the app. In AI, the traces do. https://www.blog.langchain.com/in-software-the-code-documents-the-app-in-ai-the-traces-do/ | |||
| 17:39 | In software, the code documents the app. In AI, the traces do. https://blog.langchain.com/in-software-the-code-documents-the-app-in-ai-the-traces-do/ | |||
| 17:35 | Anthropic cuts off xAI's access to its models for coding https://twitter.com/i/status/2009686466746822731 | |||
| 16:44 | LLM/RAG Paper Study — SimpleMem: Efficient Lifelong Memory for LLM Agents https://medium.com/@jennytan5522/llm-rag-paper-study-simplemem-efficient-lifelong-memory-for-llm-agents-55f2d03ff177 | |||
| 16:41 | How I Optimize Tokens While Building AI Agents (Without Killing Output Quality) https://medium.com/mlworks/how-i-optimize-tokens-while-building-ai-agents-without-killing-output-quality-804fedfb54fd | |||
| 16:28 | Issue 70: Building Natural Language and LLM Pipelines, the Spopt Project https://medium.com/@rami.krispin/issue-70-building-natural-language-and-llm-pipelines-the-spopt-project-c136599e7d2c | |||
| 16:22 | The Mamoon Framework for Synthetic Cognitive Alignment https://medium.com/@dawoodmamoon/the-mamoon-framework-for-synthetic-cognitive-alignment-bb6561e533d8 | |||
| 16:04 | From Generic to Genius: How Generative AI Tools Are Tailored for Real-World Impact https://medium.com/@anusha.rpav/from-generic-to-genius-how-generative-ai-tools-are-tailored-for-real-world-impact-4825621e4016 | |||
| 16:02 | From Billions of Parameters to Megabytes: My Journey Mastering 5 LLM Fine-Tuning Techniques https://pub.towardsai.net/from-billions-of-parameters-to-megabytes-my-journey-mastering-5-llm-fine-tuning-techniques-de8295e7dfc7 | |||
| 15:53 | The Slow Death of Stack Overflow is a Bigger Deal Than You Think https://medium.com/@pinialtshuler/the-slow-death-of-stack-overflow-is-a-bigger-deal-than-you-think-7e013c8e5cf0 | |||
| 15:42 | Make the Most of Your Wait Time! Auto-Display X (Twitter) Using Claude Code Hooks https://medium.com/@astropomeai/make-the-most-of-your-wait-time-auto-display-x-twitter-using-claude-code-hooks-78d8df248cda | |||
| 15:38 | SOE: Unlocking Systems That Evolve With AI https://medium.com/@pgarcia14180/soe-unlocking-systems-that-evolve-with-ai-7b49f40ab438 | |||
| 15:29 | AskChess: An LLM integrated chess coach https://www.askchess.org/ | |||
| 15:20 | LLM Observability in Production https://medium.com/@ashwinsri04/llm-observability-in-production-c62372cbff76 | |||
| 15:14 | The Safe Form of Superintelligence Is Collective https://medium.com/@atabarezz/the-safe-form-of-superintelligence-is-collective-6da3e42d7d99 | |||
| 14:59 | I Trained a Small Language Model on My MacBook in 10 Minutes https://opuslabs.substack.com/p/training-your-own-llm-on-a-macbook | |||
| 14:58 | RAG Fundamentals: 25 Essential Questions Every Beginner Should Know https://medium.com/@sathishkumar.babu89/rag-fundamentals-25-essential-questions-every-beginner-should-know-4a07da2cf68f | |||
| 14:46 | Show HN: Revibing nanochat's inference model in C++ with ggml https://github.com/k-ye/nanochagg.ml | |||
| 14:46 | Megatron-LM vs. PyTorch DTensor: The Battle for Your VRAM https://medium.com/@anuj1232611/megatron-lm-vs-pytorch-dtensor-the-battle-for-your-vram-98249d0a9dfd | |||
| 14:15 | Beyond the Hype: The Real World of Agentic AI and What It Means for Your Career in 2026 https://pranjaliit08.medium.com/beyond-the-hype-the-real-world-of-agentic-ai-and-what-it-means-for-your-career-in-2026-e61555aa1560 | |||
| 14:03 | Anthropic cuts off xAI's access to its models for coding https://sherwood.news/tech/report-anthropic-cuts-off-xais-access-to-its-models-for-coding/ | |||
| 13:53 | What Is an LLM and How Does AI Models like ChatGPT Work? (Conceptual) https://medium.com/@nishath01/what-is-an-llm-and-how-does-ai-models-like-chatgpt-work-conceptual-7394165a3331 | |||
| 13:38 | Agentic AI Systems: A Complete Conceptual Checklist Part 6 https://pub.towardsai.net/agentic-ai-systems-a-complete-conceptual-checklist-part-6-5af6b098b2df | |||
| 12:52 | Generative AI: What Actually Makes It Different? https://medium.com/@jiminlee-ai/generative-ai-what-actually-makes-it-different-35b15de5ef70 | |||
| 12:48 | Show HN: Yuanzai World – LLM RPGs with branching world-lines https://www.yuanzai.world/ | |||
| 12:43 | Why Google’s Strongest Engine is “Boring” https://medium.com/the-context-engineer/why-googles-strongest-engine-is-boring-e332c540b3fe | |||
| 12:17 | Energy-First Autopoietic Intelligence https://medium.com/@drzzil/energy-first-autopoietic-intelligence-7e048cc44ca4 | |||
| 12:02 | What I Learned About Prompt Engineering in 2025 https://medium.com/@lorenzouriel/what-i-learned-about-prompt-engineering-in-2025-c232ff27d678 | |||
| 12:00 | Detecting Synthetic Text in the Age of Advanced Language Models: A Practical Guide for AI… https://medium.com/@VerifyHQ/detecting-synthetic-text-in-the-age-of-advanced-language-models-a-practical-guide-for-ai-f64062bcf164 | |||
| 11:50 | A 2-min guide on getting started with Generative AI on AWS https://medium.com/@varshamp0804/a-2-min-guide-on-getting-started-with-generative-ai-on-aws-c6c6c14d79e4 | |||
| 11:48 | Çoklu-Ajan Sistemleri: A2A Protokolü ile AI Agent Orkestrasyonu https://medium.com/@yusufbaykaloglu/%C3%A7oklu-ajan-sistemleri-a2a-protokol%C3%BC-ile-ai-agent-orkestrasyonu-66f06c9ef647 | |||
| 11:36 | Optimizing Ollama Performance on Windows: Hardware, Quantization, Parallelism & More https://medium.com/@kapildevkhatik2/optimizing-ollama-performance-on-windows-hardware-quantization-parallelism-more-fac04802288e | |||
| 11:36 | AI Agents Aren’t Magic. They’re Just Software That Can Break Expensively. https://medium.com/@mykolademyanov/ai-agents-arent-magic-they-re-just-software-that-can-break-expensively-3db8fe58d700 | |||
| 11:35 | Spec Kit and Spec Driven Development (SDD): a new baby in the way of developing software https://medium.com/@didier.esteves.pro/spec-kit-and-spec-driven-development-sdd-a-new-baby-in-the-way-of-developing-software-0e2888604852 | |||
| 11:27 | As We Move Towards Agentic AI: RAG, MCP, Test-time compute and all that https://galinilin.medium.com/as-we-move-towards-agentic-ai-rag-mcp-test-time-compute-and-all-that-cca55a0278ba | |||
| 11:26 | LogBoard: ELK based scalable logs management and LLM and RAG based intelligent logs analysis and… https://medium.com/@varadpundlik/logboard-elk-based-scalable-logs-management-and-llm-and-rag-based-intelligent-logs-analysis-and-cdf03230f655 | |||
| 11:23 | OpenAI/Codex now in OpenCode v1.1.11 after the Anthropic/Claude block https://twitter.com/thsottiaux/status/2009876590789046315 | |||
| 11:13 | Unconstrained LLMs, How Long? Safe, secure, and trusted constraint-based LLMs https://medium.com/@nidhikayadav/unconstrained-llms-how-long-safe-secure-and-trusted-constraint-based-llms-2badc285c20d | |||
| 11:13 | The AGI Delusion: What All That AI Money Is Really Paying For https://medium.com/@richnorthwood/the-agi-delusion-what-all-that-ai-money-is-really-paying-for-968f3ac9b70e | |||
| 10:59 | AI Scraping https://medium.com/@sefabilicier/ai-scraping-dd8cecfae2dc | |||
| 10:10 | Lessons Learnt from the Last Year in AI https://medium.com/@afaisal.bese21seecs/lessons-learnt-from-the-last-year-in-ai-04547242e09e | |||
| 08:25 | TOON: Token-Oriented Object Notation https://medium.com/@deven.k/toon-token-oriented-object-notation-6b21daaaa601 | |||
| 08:11 | The “Memory Wall” in AI: Why Attention Is No Longer All You Need Subtitle: From Llama’s GQA to… https://medium.com/@siddheshnmdr/the-memory-wall-in-ai-why-attention-is-no-longer-all-you-need-subtitle-from-llamas-gqa-to-465289ce19e5 | |||
| 08:08 | A Fundamental Approach to AGI: Training Data for Superhuman Logical Intelligence (With Complete… https://medium.com/@youth_k/a-fundamental-approach-to-agi-training-data-for-superhuman-logical-intelligence-with-complete-cf27b4e7384e | |||
| 07:50 | Your Free AI Coding Assistant — Running Locally on your PC https://asiriofficial.medium.com/your-free-ai-coding-assistant-running-locally-on-your-pc-a99a732ec182 | |||
| 07:32 | LLMs in Healthcare vs Finance: Promise Meets Reality https://medium.com/@npavfan2facts/llms-in-healthcare-vs-finance-promise-meets-reality-0d1fbc0e3e98 | |||
| 07:19 | AI Pentesting Methodology — Tryhackme | BankGPT https://rschauhan-infosec.medium.com/ai-pentesting-methodology-tryhackme-bankgpt-1c24df63d1e7 | |||
| 06:39 | How to Use LLMs For Hacking | Bug Bounty Tips https://medium.com/@alhamr1zvi/how-to-use-llms-for-hacking-bug-bounty-tips-df39c94ac2e6 | |||
| 06:25 | Tailwind’s Wake-Up Call With Lessons Against Open-Source Revenue Crush: Taking Lead https://medium.com/coding-nexus/tailwinds-wake-up-call-with-lessons-against-open-source-revenue-crush-taking-lead-cfa3bebb11f4 | |||
| 06:17 | What is the best Data Science training in Hyderabad with AI/ML for beginners? https://medium.com/@shyamtechnologieshyd/what-is-the-best-data-science-training-in-hyderabad-with-ai-ml-for-beginners-f949fa655b1d | |||
| 06:15 | Alibaba’s New Research: Teaching LLMs to Manage Memory, Moving Beyond Manual Rules https://ai-engineering-trend.medium.com/alibabas-new-research-teaching-llms-to-manage-memory-moving-beyond-manual-rules-0e2a2b4fa315 | |||
| 06:14 | Type inference of all constructs in Elixir https://elixir-lang.org/blog/2026/01/09/type-inference-of-all-and-next-15/ | |||
| 05:52 | The Dawn of Multi-Agent AI: NVIDIA’s Nemotron 3 Redefines What’s Possible in Enterprise Artificial… https://medium.com/@inc.lumenxo/the-dawn-of-multi-agent-ai-nvidias-nemotron-3-redefines-what-s-possible-in-enterprise-artificial-9bc743ab4e10 | |||
| 05:05 | Anthropic cut off xAI's Claude access in Cursor https://twitter.com/kyliebytes/status/2009686466746822731 | |||
| 05:02 | The 4 Agentic Design Patterns Every AI Developer Needs to Know https://mahimairaja.medium.com/the-4-agentic-design-patterns-every-ai-developer-needs-to-know-dc5c7529460c | |||
| 04:50 | Beyond the Hype: The “Magic” Behind Modern AI is Just Good Architecture https://medium.com/@itzgauravbhardwaj/beyond-the-hype-the-magic-behind-modern-ai-is-just-good-architecture-02196ff48bb6 | |||
| 04:32 | ⏳ Less than 24 hours left! https://devopslearning.medium.com/less-than-24-hours-left-8594b586553c | |||
| 04:32 | The New AI Stack Isn’t Magic — It’s Plumbing https://medium.com/@connect.hashblock/the-new-ai-stack-isnt-magic-it-s-plumbing-d14520610417 | |||
| 04:16 | IntentLang: Rebuilding AI Agents with First Principles and Intent Engineering https://l3yx.medium.com/intentlang-rebuilding-ai-agents-with-first-principles-and-intent-engineering-c78676bf55a5 | |||
| 04:09 | Why Your AI Agents Need a Secure Sandbox https://medium.com/@runctl39/why-your-ai-agents-need-a-secure-sandbox-5cd7e67af468 | |||
| 03:49 | Designing a Deterministic Compiler for an Enterprise NL App Platform: From Probabilistic Chaos to… https://jinlow.medium.com/designing-a-deterministic-compiler-for-an-enterprise-nl-app-platform-from-probabilistic-chaos-to-43f89caddd11 | |||
| 03:20 | SLM vs LLM: Why ‘Bigger is Better’ is Dead in 2026 https://ai.gopubby.com/slm-vs-llm-enterprise-2026-ab5f7d6b4f45 | |||
| 03:13 | Who Owns the Intelligence? The New Math Behind AI Economics https://ninza7.medium.com/who-owns-the-intelligence-the-new-math-behind-ai-economics-b0604ceb4a91 | |||
| 03:03 | One of the biggest challenges I faced while learning AI wasn’t the math or the models… https://devopslearning.medium.com/one-of-the-biggest-challenges-i-faced-while-learning-ai-wasnt-the-math-or-the-models-08bc863c71d9 | |||
| 03:03 | The Role of Deep Context Engines in Enhancing Code Review Accuracy https://medium.com/@marcusavangard/the-role-of-deep-context-engines-in-enhancing-code-review-accuracy-1cc4c7fb7b93 | |||
| 02:44 | VL-JEPA: Predicting Missing Meaning, Not Just Next Words https://medium.com/@koganti.saichandana14/vl-jepa-predicting-missing-meaning-not-just-next-words-2299ae77294e | |||
| 02:42 | Why “More Attention Heads” Won’t Save Your LLM https://medium.com/coding-nexus/why-more-attention-heads-wont-save-your-llm-3d2e5b33d25d | |||
| 02:39 | Continuity as a First-Class System Property in Artificial Intelligence: Why Modern AI Systems Fail… https://medium.com/coding-nexus/continuity-as-a-first-class-system-property-in-artificial-intelligence-why-modern-ai-systems-fail-065333310c2e | |||
| 02:28 | Why Does Chain of Thought Make a Transformer More Powerful? https://medium.com/@tang.xuning/why-does-chain-of-thought-make-a-transformer-more-powerful-da39b1e1e4b7 | |||
| 02:21 | Clean Architecture Didn’t Fail — Our Usage Did https://medium.com/@sriram.chennai64/clean-architecture-didnt-fail-our-usage-did-4877f9ccc302 | |||
| 01:53 | My 60-Day LLM Challenge: Understanding Deep Learning from the Ground Up https://medium.com/@hassanain.imsciences/my-60-day-llm-challenge-understanding-deep-learning-from-the-ground-up-802c90790b64 | |||
| 01:41 | Liquid AI Just Dropped LFM2.5 — The Biggest On-Device AI Upgrade of 2026? https://medium.com/@greekofai/liquid-ai-just-dropped-lfm2-5-the-biggest-on-device-ai-upgrade-of-2026-ea3f65c2dde9 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124