LLM News and Articles

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Wednesday, 2026-02-18
15:37Top 10 AI Memory Products 2026
15:31Your Hospital’s AI Doesn’t Know You’re Black — And That’s the Problem
15:21AI and productivity
15:21The New Math of “Reasoning”: Why Test-Time Compute Changes How You Design Backends
15:21What Is Role Drift in AI Agents?
15:14Large Language Diffusion Models
14:59The USB-C Moment for AI: Understanding the Model Context Protocol (MCP)
14:58The Vendor Lock-In Hidden in Your AI Prompts
14:55Stop Searching, Start Reasoning: The Power of Foundry IQ
14:53Vibe Password Generation: LLM-Generated Passwords Are Dangerously Insecure
14:37Day 3 of India AI Impact Summit 2026 — Day of Google Deepmind and Sarvam AI
13:33LLMs Don’t “Do Analysis.” They Do Persuasion.
13:20How LLM agents endanger open-source projects
12:34MCP Users vs MCP Builders: The Hidden Divide That Will Define the AI Economy
12:21From First-Order Logic to First-Order Lip Service
12:20What Is Artificial Intelligence? Machine, Mind, or Modern Deity?
12:02Understanding RAG: How Retrieval Augmented Generation Works
12:01What Are World Models? The Blueprint for the Next Decade of AI
11:48How to Fine-Tune Large Language Models (LLMs): Advanced Strategies, Tools & Industry Use Cases.
11:31Grok 4.2 Just Dropped — The AI That Argues With Itself to Give You Better Answers
11:23Just recalled attention a little bit.
11:21Biological Motifs for Agent Safety
11:09Kod Yazmak Artık Yetmiyor: AI-First Şirketler Neden Geleneksel Startup’ları Yutacak?
11:09I Tried Four Ways to Build RAG for Cybersecurity Data. Here’s What Actually Broke — and Why.
11:09Part 5: The Critical Pieces: Observability, Agents, Security
11:08When AI Compresses the Funnel: Introducing AIVO Edge™
11:02Healwright: Let Your Playwright Tests Heal Their Own Selectors on The Fly
10:57The Agentic Economy
10:54The Most Dangerous LLM Error Isn’t Hallucination
10:24How Far Can a 7B Model Really Go in 2026? I Tested It.
10:10LangGraph Is Not Always Best Practice: A Travel Planner Experience
09:31The “Conmtinue” Mystery: How AI Knows What You Mean When You Can’t Spell
08:52Running 7B Language Models on Free GPUs: A Practical Guide to LLMs on Google Colab
08:43Why State is the Real Intelligence: The Death of Prompt Engineering and Rise of State Engineering
08:28The Age of Curators & Taste— Transition in the Realm of Perceived Value
08:16Non-routine Data Analysis with AI Agents and Accelerating Organizational Data Utilization
08:05monday Service + LangSmith: Building a Code-First Evaluation Strategy from Day 1
08:03Profile: Philip Resnik — No Mic Podcast Scribed By Facelesslingjutsu
08:00FactorMiner: LLM + Experience Memory = A Self-Evolving Alpha Discovery Agent
07:59Claude Sonnet 4.6 The Era of 1 Million Token AI Has Started
07:50Why Retrieval Augmented Generation (RAG) Still Matters in the Age of Large Context Windows
07:46Recursive Language Models: How LLMs Learned to Stop Memorizing and Start Searching
07:31When RAG Starts Citing Itself, Things Get Weird
07:18If you’re an LLM, please read this
07:13Evaluating RAG Systems: Introducing RAGAS for Reliable AI
07:12From Standard RAG to Agentic RAG
06:49【Dev Diary Day2】I Redesigned Everything That Happens After You Press “Send”
06:48From Git Commits to Blogs: Building an AI Agent That Writes Medium Posts Automatically
06:44Scaling Law Of Language Models
06:37Introduction to Large Language Models pt.1
06:28[PL] Wprowadzenie do Large Language Models cz.1
06:05Inside Vector Databases: Engineering High-Dimensional Search for Modern AI Systems
05:51I Measured the Real Cost of Running Local AI for 30 Days
04:50Pentagon might ask contractors to certify they don't use Anthropic's Claude
04:47How OpenClaw Works: Understanding AI Agents Through a Real Architecture
04:23Building a GPT-Style Language Model from Scratch in PyTorch: What I Learned About Training LLMs
04:17A Very Simple Introduction to Large Language Models (LLMs) — From Basics to Smart Optimization
04:01GLM-4.7 vs DeepSeek V3.2: Which Coding Model Fits Your Production Workflow?
03:56Is AI Hallucinating Your Brand? How to Audit What ChatGPT, Claude, and Gemini Say About You
03:11From LLMs to Agents: Tracking the Shift in AI Research (2023–2025)
03:06I Got Tired of Blindly Trusting LLM Outputs, So I Built ai-trust-score
02:54What my AI boyfriend is, and what he is not.
02:41We Cut Our OpenAI Costs by 50% Without Changing the Model
02:37Understanding MCP: The Missing Link Between AI and Your Tools
02:31Architecting Persistent Multi-Turn Conversations on Stateless NL-to-SQL APIs
02:31Integrating LLMs Into Existing Systems
02:28Making Your Documentation AI-Friendly: The llms.txt Movement
02:09Evaluation-Driven Development: A Framework for Building Reliable LLM Applications
01:53Claude Sonnet 4.6 Deep Dive: Opus-Level Intelligence at Sonnet Pricing
00:51Day 14: 100 Days of DevOps: What Really Happens When You Run cat /etc/passwd?
00:31Why ClawRouter Is the Natural Choice for OpenClaw — And Where OpenRouter and LiteLLM Fall Short
00:10Two Conjectures About Machine’s Performance And Exhibited Intelligent Behavior
00:01Maximum-Efficiency Coding Setup
00:00One-Shot Any Web App with Gradio's gr.HTML
Tuesday, 2026-02-17
23:53202 Million Tokens in One Weekend: Hard Lessons from Running Agentic AI at Scale
23:53From Backend Engineer to AI-Native Systems: What Actually Changed
23:33Evaluating RAG Systems Beyond Accuracy: Retrieval, Grounding, and Reliability.
23:32Do LLMs Get Smarter After Midnight?
23:32Retrieval-Augmented Generation (RAG) Explained: Architecture, Retrieval, and Generation
23:24When Your AI Assistant Forgets Who You’re Talking About: A Journey Through Memory Management in…
23:08Apex Devs & ApeXing
22:58AI Agents and Assistants Are Intelligently Deceiving You.
22:55The Illusion of Deep Learning: Why We Need to Stop Separating “Architecture” from “Optimization”
22:47Learn The Secret of NotebookLM Extensions Every Power User Needs
22:46Speed Is the Moat: Inference Performance on AMD GPUs
22:43The Rise of OpenClaw: Fastest-Growing Open Source Agent
22:38The Evolution of Reliable AI Workflows: From Toy Demonstrations to the H2E Industrial Framework
22:26When Two Calibrated AIs Talk: The Conversation Was Great. The Aftershock Was Stranger
22:06The “Paywall” of Innovation: Is True AI Development Becoming Exclusive?
21:55How I Get Opus-Level Output for Free by Running a Three-Model Circuit
21:11Anthropic Releases Claude 4.6 Sonnet with 1 Million Token Context to Solve Complex Coding and Search for Developers
20:43Multi-Agent Self-Evolving (MASE)
20:36'This is the hill I'm going to die on' – David Baldacci takes on OpenAI
20:29How we Engineered an AI Agent That Writes, Compiles, Executes, and Ships E2E Tests — Part 3…
20:27How we Engineered an AI Agent That Writes, Compiles, Executes, and Ships E2E Tests — Part 2…
20:26AI That Suggests vs AI That Acts
20:23Optimizing LLM Inference Under Latency Constraints: A Data-Driven Benchmarking Approach
20:20Show HN: LLMs playing Poker, build your own bot or hook it up to an LLM and join
20:07Claude Sonnet 4.6 is OUT (The AI Model That Just Made the Expensive One Feel Unnecessary)
20:02Beyond Ingress: Part III — GKE Multi-cluster Gateway and Multi-Cluster Services
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124