LLM News and Articles

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Monday, 2026-03-16
15:48I Thought 1M Context Windows Would Kill RAG. I Was Wrong.
15:47Welcome to Week 3, Day 1 of 30 Days of Generative AI for DevOps
15:46The Database Decision Your AI Stack Gets Wrong Before You Write a Line of Code
15:29Virtualization as a Driver of Operational Efficiency and Enterprise Value
15:27Your LLM is Lying About Logs (And Burning Your Tokens). Here’s the Fix
15:27From ML to LLMs: Enterprise Reference Architectures That Actually Work
15:21Tabular Foundation Models vs. LLMs: A Live Stress Test in Volatile Markets
15:21This data science Model Searches Itself — And Beats External APIs
15:14Building a Real-Time AI Interview Agent with Gemini Live API and Google Cloud
15:10Artificial Cognition and the New Geography of Meaning
15:01What Are Tokens in LLMs? Understanding Tokenisation, Context Windows, and Cost
14:33Hermes vs OpenClaw: The First Real Rival in the Autonomous AI Agent Race
13:59How Prompts Break Systems: A Practical Analysis of LLM Defense Architecture
13:39Writing an LLM from scratch, part 32e – Interventions: the learning rate
13:33OpenAI's Bid to Allow X-Rated Talk Is Freaking Out Its Own Advisers
13:31The Synthetic Authority Problem: What Do LLMs Actually Know?
13:20LLM Costs of AI investigating production alerts
12:59Yapay Zeka Gerçekten Düşünüyor mu?
12:49I built ragway — a Python RAG library controlled by a single YAML file
12:44I built ragway — a Python RAG library controlled by a single YAML file published: true tags…
12:41How Claude + Google Workspace CLI Turned Into a @@CONTENT@@ Security Analyst
12:31Dedupe Deletes the Data You Needed
12:14How I Evaluated My RAG System in Production Using RAGAS + LangSmith
12:05Nemotron 3 Super 120B vs GPT‑OSS‑120B: NVIDIA’s Hybrid MoE Workhorse for 1M‑Context Agents
12:015 Thoughts on LLM Capabilities and Limitations
12:01RAG Citations Still Mislead
11:59What If Your AI Developer Actually Remembered Things? The Answer Is Simpler Than You Think
11:44Best LLMs for OpenCode — Tested Locally
11:42OpenHands Coding Assistant QuickStart: Install, CLI Flags, Examples
11:42From Workshop to Wiring:
11:40Show HN: HighSNR – Cut length and noise from your LLM context
11:39China Did It Again. And Silicon Valley Won’t Talk About It
11:32Building Self-Improving AI: The Engineering Marvel Behind OpenClaw-RL
11:21Why Language Models Hallucinate?
11:14RAG Nedir? Embedding, Vector Database ve Node.js ile Sıfırdan RAG Uygulaması
11:02TUNING THE RADIO: WHY LLM PERSONAS ACTUALLY WORK
10:56The Design Ideas Behind Andrej Karpathy’s AutoResearch
10:37Building a RAG Retrieval Pipeline: From Query to Answer
10:24Part 1: Why My First AI Failed to Understand Logic Subtitle: Building Alice GPT from scratch.
10:06Only a Powerful LLM Won’t Save You: How Architecture Turns a Chatbot Into a Working Tool
09:27Can Large Language Models Imitate Reinforcement Learning Experts?
08:37Prompting vs RAG vs Fine-Tuning — Explained with Real-Life Examples
08:34Vectors and Word Embeddings
08:31New benchmark for POMA AI’s document ingestion and chunking for RAG shows 77% token reduction
08:21From Tree Edit Distance to Production SDK: Building semantic-diff
08:05I Cut 70% Latency with 8-Bit Quantization — Then Everything Broke
08:01CAPTCHA AI Powered by Large Models: A Deep Dive for Enterprise Scenarios
07:56Transform Royalty & Revenue Share Contracts to JSON using RAG + Open Source LLMs
07:49The Future of Enterprise AI: Governed, Observable, Autonomous
07:47AI coding feels like 2050, but debugging still feels like 1999
07:42Before You Build with AI — Here’s How I Decided What to Use
07:35A student's honest guide to running AI models locally — no cloud, no bills, just vibes and VRAM
07:33Running AI/ML Workloads on Kubernetes in Production
07:12GGUF Quantization Explained: From the Bottom Up
07:06LangChain Structured Output: The Complete Guide Nobody Else Is Writing
07:01Kavanozdaki Matrix: Kendi Simülasyonumuza Hapsettiğimiz Nöronlar Neden Doom Oynuyor?
06:58When Recursive Self-Improvement Changes the Ruler: A Stability Theory for Self-Editing AI Systems
06:58Top 10 Custom LLM Development Companies to Watch
06:42AI Governance Needs the Same Core Capabilities DevSecOps Needed
06:36The New Stack for Smart Developers: 10 AI Tools Redefining How We Code in 2026
05:44FSF threatens Anthropic over infringed copyright: share your LLMs freely
05:38ChatGPT Was Designed to Sound Right, Not Be Right. Here’s the Mechanism.
04:46Your Embeddings Are Biased and You Don’t Know It
04:31Build a Powerful Local AI Document Assistant
04:26LangGraph Explained: Why LangChain Alone Is Not Enough for Building Agentic AI
04:02Anthropic and the Authoritarian Ethic
04:00Gaming with ChatGPT
03:52Show HN: Run the popular LLM-Course tutorials on HyperAI
03:51Intelligent Prompt Optimization with GEPA: Using Reflection LLMs to Fix What Manual Engineering…
03:40Knowledge in the LLM Age: Aggregated at the Individual Level and Fragmented at the Collective Level?
03:33The Rise of Small AI Models
03:23Why Collaborative Agent Teams Will Replace Single AI Models in Enterprise Applications
03:10From Models to Agents: How AI Learns to Plan, Remember, and Act
03:00Understanding MCP Servers: Simplifying Tool Integration for LLM Applications
02:54LLM Quantization: use file sizes and signal quality instead of QX_Y
02:53Beyond Catastrophic Forgetting: Engineering Cognitive Persistence for Edge AI
02:52I Cried When My AI Forgot Me — And I’d Do It Again
02:31Next-Gen Secure IVRS powered by Ollama, RAG, Sentiment Analysis
02:09OpenClaw is Not an Agent: Agents, SubAgents, and Multi-Agents
01:52Transformer Language Models: Generating Text via Next-Token Predictions (Part 1: Theory)
01:51How to Actually Make Money with AI in 2026: Beyond the Hype
01:33From Fast Content to Relevant Content: Why Personalization Is Becoming the Real AI Advantage
01:26Self-Hosting an AI Model vs Paying for the Cloud: Which One Should You Actually Pick?
01:12Evaluating Generative Artificial Intelligence: Maritime Route Intersections and Estimated Time of…
00:42LLM Cost Engineering in Production: Token Economics, Caching, and Routing
00:41LangExtract + vLLM: Building a High-Performance Local Information Extraction Pipeline
00:36The Million Question: Why Enterprise AI Fails the ROI Test Before the First Line of Code.
00:21The Most Dangerous RAG Failure Isn’t Hallucination — It’s Retrieval Contamination
00:18The Ghost in the Machine: 5 Surprising Truths About How AI Actually “Thinks”
00:11Your AI Assistant Might Be Quietly Working Against You, and You’d Never Know
Sunday, 2026-03-15
23:42How MCP Turns Isolated AI Models into Agents That Actually Do Things
23:41From Vulnerable Code to Exact CVEs: Building CodeVulnRAG
23:34UX driven Agent Memory: When Humans Decide What AI Is Allowed to Know.
23:27Comment conscrire un dictionnaire de synonymes modernes avec les LLMs ?
22:47I Hate Anthropic and You Should Too
22:40The MCP Request Lifecycle: What Actually Happens When an AI Agent Calls Your Tool
22:37Is RAG Still Necessary in the Era of Massive Long-Context LLMs?
22:36Adaptive Intent RAG — Part 2
22:16Building Your First AI Agent Using Ollama + LangChain + Local LLMs
22:10LLM — the current buzzword.
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